Replication data for: What To Do about Missing Data in Time-Series Cross-Sectional Data (doi:10.7910/DVN/GGUR0P)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
Entire Codebook

Document Description

Citation

Title:

Replication data for: What To Do about Missing Data in Time-Series Cross-Sectional Data

Identification Number:

doi:10.7910/DVN/GGUR0P

Distributor:

Harvard Dataverse

Date of Distribution:

2010-02-24

Version:

5

Bibliographic Citation:

Honaker, James; King, Gary, 2010, "Replication data for: What To Do about Missing Data in Time-Series Cross-Sectional Data", https://doi.org/10.7910/DVN/GGUR0P, Harvard Dataverse, V5, UNF:5:RzZmkys+IaJKkDMAeQBObQ== [fileUNF]

Study Description

Citation

Title:

Replication data for: What To Do about Missing Data in Time-Series Cross-Sectional Data

Identification Number:

doi:10.7910/DVN/GGUR0P

Authoring Entity:

Honaker, James (The Pennsylvania State University)

King, Gary (Harvard University)

Date of Production:

2010

Distributor:

Harvard Dataverse

Distributor:

Harvard Dataverse Repository

Date of Deposit:

2010-02-24

Date of Distribution:

2010

Holdings Information:

https://doi.org/10.7910/DVN/GGUR0P

Study Scope

Keywords:

Social Sciences

Abstract:

Applications of modern methods for analyzing data with missing values, based primarily on multiple imputation, have in the last half-decade become common in American politics and political behavior. Scholars in these fields have thus increasingly avoided the biases and inefficiencies caused by ad hoc methods like listwise deletion and best guess imputation. However, researchers in much of comparative politics and international relations, and others with similar data, have been unable to do the same because the best available imputation methods work poorly with the time-series cross-section data structures common in these fields. We attempt to rectify this situation. First, we build a multiple i mputation model that allows smooth time trends, shifts across cross-sectional units, and correlations over time and space, resulting in far more accurate imputations. Second, we build nonignorable missingness models by enabling analysts to incorporate knowledge from area studies experts via priors on individual missing cell values, rather than on difficult-to-interpret model parameters. Third, since these tasks could not be accomplished within existing imputation algorithms, in that they cannot handle as many variables as needed even in the simpler cross-sectional data for which they were designed, we also develop a new algorithm that substantially expands the range of computationally feasible data types and sizes for which multiple imputation can be used. These developments also made it possible to implement the methods introduced here in freely available open source software that is considerably more reliable than existing strategies. <br /><br /> These developments also made it possible to implement the methods introduced here in freely available open source software, <a href="http://gking.harvard.edu/amelia/" target= "_new"> Amelia II: A Program for Missing Data,</a> that is considerably more reliable than existing strategies. <br /><br /> See also: <a href="http://gking.harvard.edu/category/research-interests/methods/missing-data" target= "_new">Missing Data</a>

Methodology and Processing

Sources Statement

Data Access

Notes:

<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>

Other Study Description Materials

Related Publications

Citation

Title:

Honaker, James, and Gary King. 2010. What to do About Missing Values in Time Series Cross-Section Data. American Journal of Political Science 54, no. 3: 561-581: <a href="http://j.mp/iYzK8F" target= "_new">Link to article</a>

Bibliographic Citation:

Honaker, James, and Gary King. 2010. What to do About Missing Values in Time Series Cross-Section Data. American Journal of Political Science 54, no. 3: 561-581: <a href="http://j.mp/iYzK8F" target= "_new">Link to article</a>

File Description--f1545264

File: hnew10_1.tab

  • Number of cases: 6492

  • No. of variables per record: 22

  • Type of File: text/tab-separated-values

Notes:

UNF:5:lINjum9CVtj4Wi1SWAhDEQ==

copies of h1.csv through h10.csv saved in Stata format, with some processing of the variables, such as "tsset"-ing the dataset to set the cross-section and time-series internal identifiers in Stata, and some creation of lag and lead variables

File Description--f1545263

File: hnew1_1.tab

  • Number of cases: 6492

  • No. of variables per record: 22

  • Type of File: text/tab-separated-values

Notes:

UNF:5:q9AnIK9XoJ+igl71kf1/Tg==

copies of h1.csv through h10.csv saved in Stata format, with some processing of the variables, such as "tsset"-ing the dataset to set the cross-section and time-series internal identifiers in Stata, and some creation of lag and lead variables

File Description--f1545262

File: hnew2_1.tab

  • Number of cases: 6492

  • No. of variables per record: 22

  • Type of File: text/tab-separated-values

Notes:

UNF:5:yPJ+GYvxSJi4FVBBoQv2RQ==

copies of h1.csv through h10.csv saved in Stata format, with some processing of the variables, such as "tsset"-ing the dataset to set the cross-section and time-series internal identifiers in Stata, and some creation of lag and lead variables

File Description--f1545259

File: hnew3_1.tab

  • Number of cases: 6492

  • No. of variables per record: 22

  • Type of File: text/tab-separated-values

Notes:

UNF:5:RfzxZaMwcqezt/pLBBGyDg==

copies of h1.csv through h10.csv saved in Stata format, with some processing of the variables, such as "tsset"-ing the dataset to set the cross-section and time-series internal identifiers in Stata, and some creation of lag and lead variables

File Description--f1545260

File: hnew4_1.tab

  • Number of cases: 6492

  • No. of variables per record: 22

  • Type of File: text/tab-separated-values

Notes:

UNF:5:4DhixtPguSrkWcsfwPqyMA==

copies of h1.csv through h10.csv saved in Stata format, with some processing of the variables, such as "tsset"-ing the dataset to set the cross-section and time-series internal identifiers in Stata, and some creation of lag and lead variables

File Description--f1545265

File: hnew5_1.tab

  • Number of cases: 6492

  • No. of variables per record: 22

  • Type of File: text/tab-separated-values

Notes:

UNF:5:e4fCgR87gKQTF4lnElw/TQ==

copies of h1.csv through h10.csv saved in Stata format, with some processing of the variables, such as "tsset"-ing the dataset to set the cross-section and time-series internal identifiers in Stata, and some creation of lag and lead variables

File Description--f1545261

File: hnew6_1.tab

  • Number of cases: 6492

  • No. of variables per record: 22

  • Type of File: text/tab-separated-values

Notes:

UNF:5:8la1NMVIODs67bheBwFYjg==

copies of h1.csv through h10.csv saved in Stata format, with some processing of the variables, such as "tsset"-ing the dataset to set the cross-section and time-series internal identifiers in Stata, and some creation of lag and lead variables

File Description--f1545266

File: hnew7_1.tab

  • Number of cases: 6492

  • No. of variables per record: 22

  • Type of File: text/tab-separated-values

Notes:

UNF:5:W4AaQrhPIR9GC7K1CuGpNQ==

copies of h1.csv through h10.csv saved in Stata format, with some processing of the variables, such as "tsset"-ing the dataset to set the cross-section and time-series internal identifiers in Stata, and some creation of lag and lead variables

File Description--f1545257

File: hnew8_1.tab

  • Number of cases: 6492

  • No. of variables per record: 22

  • Type of File: text/tab-separated-values

Notes:

UNF:5:ZYrJwax1YnPnaS1jGhTGlQ==

copies of h1.csv through h10.csv saved in Stata format, with some processing of the variables, such as "tsset"-ing the dataset to set the cross-section and time-series internal identifiers in Stata, and some creation of lag and lead variables

File Description--f1545258

File: hnew9_1.tab

  • Number of cases: 6492

  • No. of variables per record: 22

  • Type of File: text/tab-separated-values

Notes:

UNF:5:54m9zQnlTlkPU8X20HpnpQ==

copies of h1.csv through h10.csv saved in Stata format, with some processing of the variables, such as "tsset"-ing the dataset to set the cross-section and time-series internal identifiers in Stata, and some creation of lag and lead variables

Variable Description

List of Variables:

Variables

v1

f1545264 Location:

Variable Format: numeric

Notes: UNF:5:AwBeVFHc3oDfr2f99dNc7A==

countrycode

f1545264 Location:

Variable Format: character

Notes: UNF:5:sy3szGXDJXnNnXPKIrpDzQ==

countryname

f1545264 Location:

Variable Format: character

Notes: UNF:5:z0dT3GL72fyCvkuSYsoPYA==

year

f1545264 Location:

Variable Format: numeric

Notes: UNF:5:vjTWiFNH1ZE6FpzS5Cr8Vw==

femlifeex

f1545264 Location:

Variable Format: numeric

Notes: UNF:5:WLJWwXVeVEJ2S5v3QfzJxw==

femschool

f1545264 Location:

Variable Format: numeric

Notes: UNF:5:dqraT4mcU3IBEfZP5muEug==

gdpgrowth

f1545264 Location:

Variable Format: numeric

Notes: UNF:5:vhD0s7ILjVcxQPyV4RrZPw==

gdppc

f1545264 Location:

Variable Format: numeric

Notes: UNF:5:7KONED5Sz/lfPnv8fsfRyQ==

poptot

f1545264 Location:

Variable Format: numeric

Notes: UNF:5:3ux84i7ikyvajwAwkoOm3w==

polity2

f1545264 Location:

Variable Format: numeric

Notes: UNF:5:ZjprKtxwlNol18T2x3QiRw==

panelcode

f1545264 Location:

Value

Label

Frequency

Text

80.

JAM

40

14.

BFA

40

45.

DNK

40

140.

SGP

40

150.

SYC

40

148.

SWE

40

137.

SAU

40

18.

BHS

40

104.

MDV

40

57.

GBR

40

63.

GNQ

40

102.

MDA

9

157.

TTO

40

88.

KNA

17

5.

ARG

17

15.

BGD

40

38.

CRI

40

143.

SLV

40

13.

BEN

40

9.

AUT

40

16.

BGR

40

29.

CHE

40

40.

CYP

40

67.

GUY

40

115.

MYS

40

93.

LBR

40

160.

TZA

40

154.

THA

40

10.

AZE

40

36.

COM

20

7.

ATG

40

119.

NIC

40

33.

CMR

40

74.

IRL

40

164.

USA

40

8.

AUS

40

166.

VCT

17

122.

NPL

40

165.

UZB

20

92.

LBN

40

99.

LUX

40

112.

MRT

40

149.

SWZ

40

21.

BOL

40

78.

ISR

40

107.

MLI

40

51.

EST

40

6.

ARM

40

47.

DZA

40

58.

GEO

19

60.

GIN

40

3.

ALB

40

146.

SVK

20

94.

LBY

40

144.

SOM

40

31.

CHN

40

86.

KHM

40

170.

YUG

40

23.

BRB

40

95.

LCA

20

172.

ZMB

40

158.

TUN

40

65.

GRD

17

120.

NLD

40

116.

NAM

40

118.

NGA

40

129.

PNG

40

87.

KIR

10

152.

TCD

40

134.

QAT

40

133.

PRY

40

32.

CIV

40

69.

HRV

10

26.

BWA

40

105.

MEX

40

54.

FJI

40

12.

BEL

40

52.

ETH

40

109.

MMR

40

22.

BRA

40

103.

MDG

40

100.

LVA

40

39.

CUB

40

19.

BLR

40

124.

OMN

40

145.

SUR

40

61.

GMB

40

56.

GAB

40

135.

RUS

40

167.

VEN

40

89.

KOR

40

128.

PHL

40

66.

GTM

40

20.

BLZ

40

35.

COL

40

85.

KGZ

20

169.

YEM

40

173.

ZWE

40

142.

SLE

40

34.

COG

40

126.

PAN

40

121.

NOR

40

163.

URY

40

46.

DOM

40

108.

MLT

40

55.

FRA

40

53.

FIN

40

48.

ECU

40

162.

UKR

40

72.

IDN

40

81.

JOR

40

132.

PRT

40

123.

NZL

40

64.

GRC

40

28.

CAN

40

139.

SEN

40

106.

MKD

10

101.

MAR

40

49.

EGY

40

70.

HTI

40

110.

MNG

40

68.

HND

40

98.

LTU

40

25.

BTN

40

43.

DJI

40

44.

DMA

17

82.

JPN

40

4.

ARE

40

27.

CAF

40

24.

BRN

40

141.

SLB

40

84.

KEN

40

136.

RWA

40

127.

PER

40

90.

KWT

40

37.

CPV

40

151.

SYR

40

96.

LKA

40

77.

ISL

40

76.

IRQ

40

113.

MUS

40

83.

KAZ

20

156.

TKM

40

159.

TUR

40

17.

BHR

40

42.

DEU

40

50.

ESP

40

114.

MWI

40

153.

TGO

40

62.

GNB

40

171.

ZAF

40

91.

LAO

40

97.

LSO

40

11.

BDI

40

161.

UGA

40

125.

PAK

40

168.

VNM

40

59.

GHA

40

111.

MOZ

40

30.

CHL

40

79.

ITA

40

117.

NER

40

73.

IND

40

2.

AGO

40

71.

HUN

40

75.

IRN

40

130.

POL

40

41.

CZE

20

1.

AFG

40

147.

SVN

9

155.

TJK

40

138.

SDN

40

131.

PRK

40

Variable Format: numeric

Notes: UNF:5:J2FuHbo6mT+uQbffzQoXYw==

loggdppc

f1545264 Location:

Variable Format: numeric

Notes: UNF:5:+m6RCH8Ai8u/w2alKfTlsQ==

logpoptot

f1545264 Location:

Variable Format: numeric

Notes: UNF:5:trcuAJna25n11x825Cu1cw==

rich

f1545264 Location:

Variable Format: numeric

Notes: UNF:5:HMy+5C1RjCIxYT/55Rb+Vg==

richdem

f1545264 Location:

Variable Format: numeric

Notes: UNF:5:raHcjnHqW+SYOSuh6T3AJQ==

poordem

f1545264 Location:

Variable Format: numeric

Notes: UNF:5:hjBFUsgtZrOk+FWW9AhWJg==

l5check

f1545264 Location:

Variable Format: numeric

Notes: UNF:5:VLeqmownrHM7U+3/K+Qw0Q==

leadcheck

f1545264 Location:

Variable Format: numeric

Notes: UNF:5:psD3nK0x5yO8VSohspBP0Q==

leadfemlifeex

f1545264 Location:

Variable Format: numeric

Notes: UNF:5:IHCvkW8NfD+G/Bktg9WjGQ==

leadfemschool

f1545264 Location:

Variable Format: numeric

Notes: UNF:5:5eaU5khcCO30XLi/7S+ebw==

l5richdem

f1545264 Location:

Variable Format: numeric

Notes: UNF:5:F0rzFhkXW5eOxOhtfuThrg==

l5poordem

f1545264 Location:

Variable Format: numeric

Notes: UNF:5:yl4zL93569/uHp/lFYAQjQ==

v1

f1545263 Location:

Variable Format: numeric

Notes: UNF:5:AwBeVFHc3oDfr2f99dNc7A==

countrycode

f1545263 Location:

Variable Format: character

Notes: UNF:5:sy3szGXDJXnNnXPKIrpDzQ==

countryname

f1545263 Location:

Variable Format: character

Notes: UNF:5:z0dT3GL72fyCvkuSYsoPYA==

year

f1545263 Location:

Variable Format: numeric

Notes: UNF:5:vjTWiFNH1ZE6FpzS5Cr8Vw==

femlifeex

f1545263 Location:

Variable Format: numeric

Notes: UNF:5:H5WHpk0yxNge9qDZvtS4rg==

femschool

f1545263 Location:

Variable Format: numeric

Notes: UNF:5:zv6eUckphcoe22yT1hh/xw==

gdpgrowth

f1545263 Location:

Variable Format: numeric

Notes: UNF:5:T7gj4Vjjvn+z9EFbMu/y5A==

gdppc

f1545263 Location:

Variable Format: numeric

Notes: UNF:5:v4ZA68+FCLk1hsxZ0VUMww==

poptot

f1545263 Location:

Variable Format: numeric

Notes: UNF:5:x8W6KEwzJyZh44AtDYGnfw==

polity2

f1545263 Location:

Variable Format: numeric

Notes: UNF:5:ZjprKtxwlNol18T2x3QiRw==

panelcode

f1545263 Location:

Value

Label

Frequency

Text

121.

NOR

40

89.

KOR

40

165.

UZB

20

153.

TGO

40

13.

BEN

40

170.

YUG

40

41.

CZE

20

17.

BHR

40

55.

FRA

40

96.

LKA

40

78.

ISR

40

111.

MOZ

40

5.

ARG

17

133.

PRY

40

97.

LSO

40

166.

VCT

17

109.

MMR

40

58.

GEO

19

152.

TCD

40

172.

ZMB

40

61.

GMB

40

154.

THA

40

54.

FJI

40

40.

CYP

40

125.

PAK

40

56.

GAB

40

19.

BLR

40

22.

BRA

40

105.

MEX

40

142.

SLE

40

50.

ESP

40

87.

KIR

10

93.

LBR

40

161.

UGA

40

4.

ARE

40

7.

ATG

40

168.

VNM

40

62.

GNB

40

116.

NAM

40

128.

PHL

40

9.

AUT

40

10.

AZE

40

67.

GUY

40

63.

GNQ

40

163.

URY

40

80.

JAM

40

79.

ITA

40

27.

CAF

40

32.

CIV

40

31.

CHN

40

98.

LTU

40

124.

OMN

40

85.

KGZ

20

88.

KNA

17

46.

DOM

40

95.

LCA

20

127.

PER

40

2.

AGO

40

36.

COM

20

120.

NLD

40

34.

COG

40

29.

CHE

40

94.

LBY

40

57.

GBR

40

81.

JOR

40

132.

PRT

40

151.

SYR

40

60.

GIN

40

171.

ZAF

40

6.

ARM

40

30.

CHL

40

138.

SDN

40

14.

BFA

40

148.

SWE

40

72.

IDN

40

45.

DNK

40

155.

TJK

40

169.

YEM

40

122.

NPL

40

99.

LUX

40

150.

SYC

40

73.

IND

40

70.

HTI

40

118.

NGA

40

135.

RUS

40

156.

TKM

40

68.

HND

40

86.

KHM

40

35.

COL

40

83.

KAZ

20

1.

AFG

40

48.

ECU

40

12.

BEL

40

123.

NZL

40

66.

GTM

40

103.

MDG

40

107.

MLI

40

90.

KWT

40

147.

SVN

9

47.

DZA

40

82.

JPN

40

59.

GHA

40

141.

SLB

40

23.

BRB

40

162.

UKR

40

43.

DJI

40

119.

NIC

40

117.

NER

40

75.

IRN

40

38.

CRI

40

129.

PNG

40

134.

QAT

40

144.

SOM

40

110.

MNG

40

65.

GRD

17

8.

AUS

40

15.

BGD

40

108.

MLT

40

137.

SAU

40

149.

SWZ

40

159.

TUR

40

84.

KEN

40

21.

BOL

40

33.

CMR

40

102.

MDA

9

11.

BDI

40

51.

EST

40

136.

RWA

40

115.

MYS

40

113.

MUS

40

52.

ETH

40

91.

LAO

40

37.

CPV

40

100.

LVA

40

143.

SLV

40

20.

BLZ

40

173.

ZWE

40

104.

MDV

40

74.

IRL

40

126.

PAN

40

112.

MRT

40

167.

VEN

40

114.

MWI

40

69.

HRV

10

160.

TZA

40

3.

ALB

40

146.

SVK

20

77.

ISL

40

42.

DEU

40

39.

CUB

40

71.

HUN

40

130.

POL

40

16.

BGR

40

28.

CAN

40

53.

FIN

40

139.

SEN

40

101.

MAR

40

131.

PRK

40

157.

TTO

40

145.

SUR

40

64.

GRC

40

25.

BTN

40

24.

BRN

40

158.

TUN

40

106.

MKD

10

76.

IRQ

40

44.

DMA

17

92.

LBN

40

140.

SGP

40

18.

BHS

40

26.

BWA

40

164.

USA

40

49.

EGY

40

Variable Format: numeric

Notes: UNF:5:J2FuHbo6mT+uQbffzQoXYw==

loggdppc

f1545263 Location:

Variable Format: numeric

Notes: UNF:5:gGR57SnfMymwwosFyXHrmg==

logpoptot

f1545263 Location:

Variable Format: numeric

Notes: UNF:5:wlDthUuvDZQg+JXf+IxvLw==

rich

f1545263 Location:

Variable Format: numeric

Notes: UNF:5:yD23sCeseECh5zmHqGed/w==

richdem

f1545263 Location:

Variable Format: numeric

Notes: UNF:5:wtGXKwrslOp7v7ZKWDd21Q==

poordem

f1545263 Location:

Variable Format: numeric

Notes: UNF:5:5P3WsN54hWrFKV7N3ExKRw==

l5check

f1545263 Location:

Variable Format: numeric

Notes: UNF:5:VLeqmownrHM7U+3/K+Qw0Q==

leadcheck

f1545263 Location:

Variable Format: numeric

Notes: UNF:5:psD3nK0x5yO8VSohspBP0Q==

leadfemlifeex

f1545263 Location:

Variable Format: numeric

Notes: UNF:5:pQG43up7OEOwDVNjcCo14w==

leadfemschool

f1545263 Location:

Variable Format: numeric

Notes: UNF:5:nC0Gv30avnhz+NPs7sF6Rw==

l5richdem

f1545263 Location:

Variable Format: numeric

Notes: UNF:5:poO9ryp9XEcb+kPSGY2xzQ==

l5poordem

f1545263 Location:

Variable Format: numeric

Notes: UNF:5:OR/AUCTgqPugBXwO5sw2cg==

v1

f1545262 Location:

Variable Format: numeric

Notes: UNF:5:AwBeVFHc3oDfr2f99dNc7A==

countrycode

f1545262 Location:

Variable Format: character

Notes: UNF:5:sy3szGXDJXnNnXPKIrpDzQ==

countryname

f1545262 Location:

Variable Format: character

Notes: UNF:5:z0dT3GL72fyCvkuSYsoPYA==

year

f1545262 Location:

Variable Format: numeric

Notes: UNF:5:vjTWiFNH1ZE6FpzS5Cr8Vw==

femlifeex

f1545262 Location:

Variable Format: numeric

Notes: UNF:5:ylLBx34ZeiSNiNAiadYXdA==

femschool

f1545262 Location:

Variable Format: numeric

Notes: UNF:5:oy+fgqYl5AHJNpUVB8pmUQ==

gdpgrowth

f1545262 Location:

Variable Format: numeric

Notes: UNF:5:85KeSSuHOR4caIRo+4oCIw==

gdppc

f1545262 Location:

Variable Format: numeric

Notes: UNF:5:1Jn2DneNLSYtkGljFCMTKA==

poptot

f1545262 Location:

Variable Format: numeric

Notes: UNF:5:1jQ2o20Ka16FGev0hxrrMA==

polity2

f1545262 Location:

Variable Format: numeric

Notes: UNF:5:ZjprKtxwlNol18T2x3QiRw==

panelcode

f1545262 Location:

Value

Label

Frequency

Text

17.

BHR

40

81.

JOR

40

131.

PRK

40

30.

CHL

40

96.

LKA

40

124.

OMN

40

58.

GEO

19

95.

LCA

20

67.

GUY

40

77.

ISL

40

26.

BWA

40

156.

TKM

40

103.

MDG

40

125.

PAK

40

68.

HND

40

166.

VCT

17

18.

BHS

40

38.

CRI

40

140.

SGP

40

109.

MMR

40

134.

QAT

40

170.

YUG

40

104.

MDV

40

171.

ZAF

40

98.

LTU

40

39.

CUB

40

49.

EGY

40

73.

IND

40

108.

MLT

40

145.

SUR

40

8.

AUS

40

61.

GMB

40

64.

GRC

40

9.

AUT

40

53.

FIN

40

138.

SDN

40

85.

KGZ

20

99.

LUX

40

3.

ALB

40

92.

LBN

40

33.

CMR

40

42.

DEU

40

160.

TZA

40

52.

ETH

40

163.

URY

40

11.

BDI

40

137.

SAU

40

84.

KEN

40

106.

MKD

10

142.

SLE

40

47.

DZA

40

162.

UKR

40

157.

TTO

40

65.

GRD

17

13.

BEN

40

31.

CHN

40

16.

BGR

40

126.

PAN

40

27.

CAF

40

144.

SOM

40

118.

NGA

40

91.

LAO

40

111.

MOZ

40

86.

KHM

40

22.

BRA

40

56.

GAB

40

154.

THA

40

132.

PRT

40

10.

AZE

40

43.

DJI

40

20.

BLZ

40

173.

ZWE

40

41.

CZE

20

102.

MDA

9

128.

PHL

40

169.

YEM

40

14.

BFA

40

149.

SWZ

40

136.

RWA

40

87.

KIR

10

5.

ARG

17

165.

UZB

20

34.

COG

40

1.

AFG

40

143.

SLV

40

101.

MAR

40

90.

KWT

40

94.

LBY

40

113.

MUS

40

120.

NLD

40

153.

TGO

40

122.

NPL

40

37.

CPV

40

57.

GBR

40

141.

SLB

40

150.

SYC

40

88.

KNA

17

123.

NZL

40

24.

BRN

40

60.

GIN

40

161.

UGA

40

2.

AGO

40

48.

ECU

40

59.

GHA

40

105.

MEX

40

97.

LSO

40

152.

TCD

40

164.

USA

40

15.

BGD

40

75.

IRN

40

168.

VNM

40

155.

TJK

40

50.

ESP

40

100.

LVA

40

147.

SVN

9

133.

PRY

40

21.

BOL

40

66.

GTM

40

89.

KOR

40

29.

CHE

40

158.

TUN

40

63.

GNQ

40

62.

GNB

40

139.

SEN

40

93.

LBR

40

146.

SVK

20

6.

ARM

40

116.

NAM

40

151.

SYR

40

112.

MRT

40

130.

POL

40

107.

MLI

40

46.

DOM

40

72.

IDN

40

78.

ISR

40

117.

NER

40

36.

COM

20

69.

HRV

10

79.

ITA

40

55.

FRA

40

23.

BRB

40

32.

CIV

40

114.

MWI

40

74.

IRL

40

127.

PER

40

135.

RUS

40

12.

BEL

40

25.

BTN

40

70.

HTI

40

71.

HUN

40

148.

SWE

40

4.

ARE

40

83.

KAZ

20

44.

DMA

17

159.

TUR

40

110.

MNG

40

82.

JPN

40

119.

NIC

40

19.

BLR

40

80.

JAM

40

115.

MYS

40

172.

ZMB

40

121.

NOR

40

45.

DNK

40

129.

PNG

40

167.

VEN

40

28.

CAN

40

54.

FJI

40

51.

EST

40

35.

COL

40

76.

IRQ

40

40.

CYP

40

7.

ATG

40

Variable Format: numeric

Notes: UNF:5:J2FuHbo6mT+uQbffzQoXYw==

loggdppc

f1545262 Location:

Variable Format: numeric

Notes: UNF:5:kAqLlgnJkXqqihu/51A6cw==

logpoptot

f1545262 Location:

Variable Format: numeric

Notes: UNF:5:w19Zevh1KzApMuzjq4SE4Q==

rich

f1545262 Location:

Variable Format: numeric

Notes: UNF:5:WJDv+u6bY/OJ1dnoYuLI2Q==

richdem

f1545262 Location:

Variable Format: numeric

Notes: UNF:5:rfT3c8rWvE5Z2TCFIJdnvQ==

poordem

f1545262 Location:

Variable Format: numeric

Notes: UNF:5:pLFGLg9GWg8LIvmuUsw4bg==

l5check

f1545262 Location:

Variable Format: numeric

Notes: UNF:5:VLeqmownrHM7U+3/K+Qw0Q==

leadcheck

f1545262 Location:

Variable Format: numeric

Notes: UNF:5:psD3nK0x5yO8VSohspBP0Q==

leadfemlifeex

f1545262 Location:

Variable Format: numeric

Notes: UNF:5:XCgVC0sK75mGWa9vvO9vJg==

leadfemschool

f1545262 Location:

Variable Format: numeric

Notes: UNF:5:QRBLHSmxaXvwkyB3WSNk9g==

l5richdem

f1545262 Location:

Variable Format: numeric

Notes: UNF:5:nQRxJT8TlCa+KogLBpyZbw==

l5poordem

f1545262 Location:

Variable Format: numeric

Notes: UNF:5:BueOH3YqvZOs+SIEVSUkxw==

v1

f1545259 Location:

Variable Format: numeric

Notes: UNF:5:AwBeVFHc3oDfr2f99dNc7A==

countrycode

f1545259 Location:

Variable Format: character

Notes: UNF:5:sy3szGXDJXnNnXPKIrpDzQ==

countryname

f1545259 Location:

Variable Format: character

Notes: UNF:5:z0dT3GL72fyCvkuSYsoPYA==

year

f1545259 Location:

Variable Format: numeric

Notes: UNF:5:vjTWiFNH1ZE6FpzS5Cr8Vw==

femlifeex

f1545259 Location:

Variable Format: numeric

Notes: UNF:5:wTA2g6AY9ezcWrcYEGrYqw==

femschool

f1545259 Location:

Variable Format: numeric

Notes: UNF:5:uywjNC+QAaMXAUAuPYIOWA==

gdpgrowth

f1545259 Location:

Variable Format: numeric

Notes: UNF:5:7Y+lkyHlJfKCqwTGC+Y+jg==

gdppc

f1545259 Location:

Variable Format: numeric

Notes: UNF:5:pxJYWv1ZUOVEGKFIHsUsDQ==

poptot

f1545259 Location:

Variable Format: numeric

Notes: UNF:5:wTXgyihdbruPW/HkJSxWFw==

polity2

f1545259 Location:

Variable Format: numeric

Notes: UNF:5:ZjprKtxwlNol18T2x3QiRw==

panelcode

f1545259 Location:

Value

Label

Frequency

Text

119.

NIC

40

30.

CHL

40

143.

SLV

40

125.

PAK

40

44.

DMA

17

91.

LAO

40

83.

KAZ

20

134.

QAT

40

168.

VNM

40

118.

NGA

40

40.

CYP

40

154.

THA

40

1.

AFG

40

165.

UZB

20

79.

ITA

40

13.

BEN

40

113.

MUS

40

166.

VCT

17

117.

NER

40

33.

CMR

40

45.

DNK

40

132.

PRT

40

19.

BLR

40

82.

JPN

40

147.

SVN

9

96.

LKA

40

41.

CZE

20

55.

FRA

40

35.

COL

40

60.

GIN

40

137.

SAU

40

123.

NZL

40

163.

URY

40

133.

PRY

40

158.

TUN

40

72.

IDN

40

149.

SWZ

40

12.

BEL

40

77.

ISL

40

76.

IRQ

40

74.

IRL

40

39.

CUB

40

4.

ARE

40

67.

GUY

40

142.

SLE

40

24.

BRN

40

17.

BHR

40

43.

DJI

40

25.

BTN

40

38.

CRI

40

75.

IRN

40

11.

BDI

40

47.

DZA

40

152.

TCD

40

92.

LBN

40

153.

TGO

40

141.

SLB

40

126.

PAN

40

101.

MAR

40

172.

ZMB

40

27.

CAF

40

49.

EGY

40

144.

SOM

40

148.

SWE

40

110.

MNG

40

159.

TUR

40

85.

KGZ

20

84.

KEN

40

140.

SGP

40

65.

GRD

17

97.

LSO

40

14.

BFA

40

48.

ECU

40

108.

MLT

40

99.

LUX

40

18.

BHS

40

70.

HTI

40

151.

SYR

40

171.

ZAF

40

98.

LTU

40

114.

MWI

40

68.

HND

40

15.

BGD

40

100.

LVA

40

150.

SYC

40

130.

POL

40

112.

MRT

40

28.

CAN

40

26.

BWA

40

16.

BGR

40

9.

AUT

40

105.

MEX

40

169.

YEM

40

22.

BRA

40

167.

VEN

40

54.

FJI

40

138.

SDN

40

3.

ALB

40

57.

GBR

40

63.

GNQ

40

53.

FIN

40

62.

GNB

40

162.

UKR

40

102.

MDA

9

32.

CIV

40

116.

NAM

40

42.

DEU

40

5.

ARG

17

51.

EST

40

90.

KWT

40

81.

JOR

40

160.

TZA

40

93.

LBR

40

46.

DOM

40

128.

PHL

40

64.

GRC

40

127.

PER

40

131.

PRK

40

107.

MLI

40

69.

HRV

10

21.

BOL

40

157.

TTO

40

61.

GMB

40

122.

NPL

40

86.

KHM

40

20.

BLZ

40

34.

COG

40

146.

SVK

20

2.

AGO

40

120.

NLD

40

156.

TKM

40

52.

ETH

40

129.

PNG

40

136.

RWA

40

80.

JAM

40

124.

OMN

40

6.

ARM

40

145.

SUR

40

109.

MMR

40

50.

ESP

40

164.

USA

40

36.

COM

20

56.

GAB

40

103.

MDG

40

155.

TJK

40

170.

YUG

40

78.

ISR

40

139.

SEN

40

135.

RUS

40

95.

LCA

20

87.

KIR

10

37.

CPV

40

31.

CHN

40

106.

MKD

10

7.

ATG

40

71.

HUN

40

10.

AZE

40

29.

CHE

40

115.

MYS

40

58.

GEO

19

121.

NOR

40

59.

GHA

40

66.

GTM

40

8.

AUS

40

89.

KOR

40

23.

BRB

40

73.

IND

40

94.

LBY

40

161.

UGA

40

173.

ZWE

40

88.

KNA

17

104.

MDV

40

111.

MOZ

40

Variable Format: numeric

Notes: UNF:5:J2FuHbo6mT+uQbffzQoXYw==

loggdppc

f1545259 Location:

Variable Format: numeric

Notes: UNF:5:TUj21hYvZfzyTeDCNzoiiQ==

logpoptot

f1545259 Location:

Variable Format: numeric

Notes: UNF:5:LwjKnsCZE+t3OPgs30Zbzw==

rich

f1545259 Location:

Variable Format: numeric

Notes: UNF:5:3v29Du+zBFOq52wlwtmmFg==

richdem

f1545259 Location:

Variable Format: numeric

Notes: UNF:5:fMGyGuUa87+PtE50LplyWA==

poordem

f1545259 Location:

Variable Format: numeric

Notes: UNF:5:KzTA7MPoE8iuT5t4o7eEJQ==

l5check

f1545259 Location:

Variable Format: numeric

Notes: UNF:5:VLeqmownrHM7U+3/K+Qw0Q==

leadcheck

f1545259 Location:

Variable Format: numeric

Notes: UNF:5:psD3nK0x5yO8VSohspBP0Q==

leadfemlifeex

f1545259 Location:

Variable Format: numeric

Notes: UNF:5:CJ1f6u1cfi2UvHbxfZE21w==

leadfemschool

f1545259 Location:

Variable Format: numeric

Notes: UNF:5:kRRbDSF/2TWBV7qZn9IMfA==

l5richdem

f1545259 Location:

Variable Format: numeric

Notes: UNF:5:+AzIxXLMIEwjUikzi62sLg==

l5poordem

f1545259 Location:

Variable Format: numeric

Notes: UNF:5:7YHEYrNGNDRkxzkQEMoe5A==

v1

f1545260 Location:

Variable Format: numeric

Notes: UNF:5:AwBeVFHc3oDfr2f99dNc7A==

countrycode

f1545260 Location:

Variable Format: character

Notes: UNF:5:sy3szGXDJXnNnXPKIrpDzQ==

countryname

f1545260 Location:

Variable Format: character

Notes: UNF:5:z0dT3GL72fyCvkuSYsoPYA==

year

f1545260 Location:

Variable Format: numeric

Notes: UNF:5:vjTWiFNH1ZE6FpzS5Cr8Vw==

femlifeex

f1545260 Location:

Variable Format: numeric

Notes: UNF:5:RFzTiW3xy2quDTsAlGve+Q==

femschool

f1545260 Location:

Variable Format: numeric

Notes: UNF:5:3dKQXmLSqh1Oe9a6QN9Ycw==

gdpgrowth

f1545260 Location:

Variable Format: numeric

Notes: UNF:5:RSzk5yKzj80wEH0ZUBD3zg==

gdppc

f1545260 Location:

Variable Format: numeric

Notes: UNF:5:yIJmM0KK8sKMiVY4L6OC3w==

poptot

f1545260 Location:

Variable Format: numeric

Notes: UNF:5:dj3knL6vdkkiC/d1g4G8BQ==

polity2

f1545260 Location:

Variable Format: numeric

Notes: UNF:5:ZjprKtxwlNol18T2x3QiRw==

panelcode

f1545260 Location:

Value

Label

Frequency

Text

155.

TJK

40

114.

MWI

40

96.

LKA

40

64.

GRC

40

110.

MNG

40

77.

ISL

40

106.

MKD

10

27.

CAF

40

53.

FIN

40

31.

CHN

40

169.

YEM

40

107.

MLI

40

50.

ESP

40

83.

KAZ

20

29.

CHE

40

89.

KOR

40

158.

TUN

40

6.

ARM

40

151.

SYR

40

62.

GNB

40

103.

MDG

40

39.

CUB

40

3.

ALB

40

4.

ARE

40

171.

ZAF

40

58.

GEO

19

49.

EGY

40

43.

DJI

40

34.

COG

40

124.

OMN

40

117.

NER

40

146.

SVK

20

15.

BGD

40

159.

TUR

40

92.

LBN

40

11.

BDI

40

8.

AUS

40

135.

RUS

40

100.

LVA

40

30.

CHL

40

119.

NIC

40

37.

CPV

40

73.

IND

40

22.

BRA

40

143.

SLV

40

70.

HTI

40

122.

NPL

40

71.

HUN

40

132.

PRT

40

74.

IRL

40

41.

CZE

20

13.

BEN

40

104.

MDV

40

33.

CMR

40

109.

MMR

40

113.

MUS

40

57.

GBR

40

163.

URY

40

87.

KIR

10

10.

AZE

40

120.

NLD

40

12.

BEL

40

79.

ITA

40

24.

BRN

40

94.

LBY

40

118.

NGA

40

116.

NAM

40

137.

SAU

40

142.

SLE

40

157.

TTO

40

98.

LTU

40

164.

USA

40

32.

CIV

40

127.

PER

40

19.

BLR

40

42.

DEU

40

111.

MOZ

40

166.

VCT

17

173.

ZWE

40

23.

BRB

40

140.

SGP

40

115.

MYS

40

26.

BWA

40

162.

UKR

40

1.

AFG

40

16.

BGR

40

36.

COM

20

93.

LBR

40

101.

MAR

40

121.

NOR

40

67.

GUY

40

2.

AGO

40

82.

JPN

40

144.

SOM

40

170.

YUG

40

141.

SLB

40

160.

TZA

40

91.

LAO

40

7.

ATG

40

78.

ISR

40

72.

IDN

40

108.

MLT

40

85.

KGZ

20

167.

VEN

40

99.

LUX

40

131.

PRK

40

51.

EST

40

139.

SEN

40

48.

ECU

40

128.

PHL

40

172.

ZMB

40

81.

JOR

40

165.

UZB

20

14.

BFA

40

136.

RWA

40

44.

DMA

17

147.

SVN

9

59.

GHA

40

153.

TGO

40

123.

NZL

40

35.

COL

40

54.

FJI

40

65.

GRD

17

129.

PNG

40

156.

TKM

40

61.

GMB

40

112.

MRT

40

150.

SYC

40

161.

UGA

40

40.

CYP

40

97.

LSO

40

38.

CRI

40

25.

BTN

40

21.

BOL

40

90.

KWT

40

46.

DOM

40

28.

CAN

40

45.

DNK

40

145.

SUR

40

148.

SWE

40

52.

ETH

40

105.

MEX

40

154.

THA

40

68.

HND

40

168.

VNM

40

18.

BHS

40

102.

MDA

9

125.

PAK

40

5.

ARG

17

17.

BHR

40

9.

AUT

40

69.

HRV

10

75.

IRN

40

134.

QAT

40

66.

GTM

40

76.

IRQ

40

95.

LCA

20

84.

KEN

40

55.

FRA

40

20.

BLZ

40

138.

SDN

40

80.

JAM

40

56.

GAB

40

63.

GNQ

40

88.

KNA

17

47.

DZA

40

60.

GIN

40

126.

PAN

40

152.

TCD

40

86.

KHM

40

133.

PRY

40

149.

SWZ

40

130.

POL

40

Variable Format: numeric

Notes: UNF:5:J2FuHbo6mT+uQbffzQoXYw==

loggdppc

f1545260 Location:

Variable Format: numeric

Notes: UNF:5:6rcyI+OtF1rELOpOE3+2Fw==

logpoptot

f1545260 Location:

Variable Format: numeric

Notes: UNF:5:EaaJN52oX9UAmoMdCVXYhA==

rich

f1545260 Location:

Variable Format: numeric

Notes: UNF:5:KOLIvmffmXACSiucMy5/Gw==

richdem

f1545260 Location:

Variable Format: numeric

Notes: UNF:5:b8XfAEugj2Vh2IptugvuLQ==

poordem

f1545260 Location:

Variable Format: numeric

Notes: UNF:5:RtI89Q3L4jvdKf0dcrVeYA==

l5check

f1545260 Location:

Variable Format: numeric

Notes: UNF:5:VLeqmownrHM7U+3/K+Qw0Q==

leadcheck

f1545260 Location:

Variable Format: numeric

Notes: UNF:5:psD3nK0x5yO8VSohspBP0Q==

leadfemlifeex

f1545260 Location:

Variable Format: numeric

Notes: UNF:5:3vUIV9ssA9bSZ8ZPTGFHdw==

leadfemschool

f1545260 Location:

Variable Format: numeric

Notes: UNF:5:NBm3nfuPFLtUUNDvrl28dA==

l5richdem

f1545260 Location:

Variable Format: numeric

Notes: UNF:5:8rzwxZIWJwZByvcetvi+Cg==

l5poordem

f1545260 Location:

Variable Format: numeric

Notes: UNF:5:VvGNSn5CrGrqM8ZlSrumqQ==

v1

f1545265 Location:

Variable Format: numeric

Notes: UNF:5:AwBeVFHc3oDfr2f99dNc7A==

countrycode

f1545265 Location:

Variable Format: character

Notes: UNF:5:sy3szGXDJXnNnXPKIrpDzQ==

countryname

f1545265 Location:

Variable Format: character

Notes: UNF:5:z0dT3GL72fyCvkuSYsoPYA==

year

f1545265 Location:

Variable Format: numeric

Notes: UNF:5:vjTWiFNH1ZE6FpzS5Cr8Vw==

femlifeex

f1545265 Location:

Variable Format: numeric

Notes: UNF:5:f8A3wvzAzfPtZCCCICzqJg==

femschool

f1545265 Location:

Variable Format: numeric

Notes: UNF:5:DIkH7U92IznCvYAQhzdanw==

gdpgrowth

f1545265 Location:

Variable Format: numeric

Notes: UNF:5:QjGP5g6V0U5JrHccwsjV1w==

gdppc

f1545265 Location:

Variable Format: numeric

Notes: UNF:5:6+DNmIej2R98KwBrRaPQLQ==

poptot

f1545265 Location:

Variable Format: numeric

Notes: UNF:5:5did6w1fbtKi92UbnlwDVw==

polity2

f1545265 Location:

Variable Format: numeric

Notes: UNF:5:ZjprKtxwlNol18T2x3QiRw==

panelcode

f1545265 Location:

Value

Label

Frequency

Text

130.

POL

40

51.

EST

40

167.

VEN

40

127.

PER

40

16.

BGR

40

49.

EGY

40

171.

ZAF

40

78.

ISR

40

126.

PAN

40

149.

SWZ

40

66.

GTM

40

18.

BHS

40

137.

SAU

40

19.

BLR

40

60.

GIN

40

165.

UZB

20

65.

GRD

17

71.

HUN

40

45.

DNK

40

11.

BDI

40

31.

CHN

40

93.

LBR

40

105.

MEX

40

48.

ECU

40

75.

IRN

40

83.

KAZ

20

166.

VCT

17

86.

KHM

40

118.

NGA

40

56.

GAB

40

34.

COG

40

90.

KWT

40

67.

GUY

40

70.

HTI

40

17.

BHR

40

32.

CIV

40

99.

LUX

40

138.

SDN

40

82.

JPN

40

141.

SLB

40

156.

TKM

40

76.

IRQ

40

133.

PRY

40

38.

CRI

40

92.

LBN

40

33.

CMR

40

74.

IRL

40

77.

ISL

40

142.

SLE

40

14.

BFA

40

97.

LSO

40

91.

LAO

40

173.

ZWE

40

168.

VNM

40

58.

GEO

19

84.

KEN

40

116.

NAM

40

144.

SOM

40

15.

BGD

40

103.

MDG

40

1.

AFG

40

148.

SWE

40

43.

DJI

40

81.

JOR

40

7.

ATG

40

107.

MLI

40

5.

ARG

17

73.

IND

40

28.

CAN

40

122.

NPL

40

10.

AZE

40

69.

HRV

10

96.

LKA

40

125.

PAK

40

98.

LTU

40

24.

BRN

40

108.

MLT

40

85.

KGZ

20

13.

BEN

40

80.

JAM

40

106.

MKD

10

121.

NOR

40

104.

MDV

40

124.

OMN

40

129.

PNG

40

72.

IDN

40

35.

COL

40

113.

MUS

40

132.

PRT

40

63.

GNQ

40

109.

MMR

40

9.

AUT

40

68.

HND

40

155.

TJK

40

64.

GRC

40

79.

ITA

40

117.

NER

40

37.

CPV

40

12.

BEL

40

159.

TUR

40

134.

QAT

40

146.

SVK

20

21.

BOL

40

3.

ALB

40

169.

YEM

40

163.

URY

40

151.

SYR

40

110.

MNG

40

40.

CYP

40

164.

USA

40

100.

LVA

40

26.

BWA

40

123.

NZL

40

95.

LCA

20

20.

BLZ

40

161.

UGA

40

52.

ETH

40

4.

ARE

40

135.

RUS

40

44.

DMA

17

42.

DEU

40

36.

COM

20

61.

GMB

40

27.

CAF

40

39.

CUB

40

29.

CHE

40

152.

TCD

40

53.

FIN

40

128.

PHL

40

6.

ARM

40

22.

BRA

40

87.

KIR

10

147.

SVN

9

154.

THA

40

59.

GHA

40

50.

ESP

40

8.

AUS

40

89.

KOR

40

62.

GNB

40

47.

DZA

40

111.

MOZ

40

140.

SGP

40

30.

CHL

40

114.

MWI

40

112.

MRT

40

2.

AGO

40

88.

KNA

17

170.

YUG

40

23.

BRB

40

115.

MYS

40

120.

NLD

40

57.

GBR

40

94.

LBY

40

25.

BTN

40

150.

SYC

40

41.

CZE

20

160.

TZA

40

46.

DOM

40

131.

PRK

40

153.

TGO

40

54.

FJI

40

145.

SUR

40

136.

RWA

40

172.

ZMB

40

119.

NIC

40

139.

SEN

40

157.

TTO

40

55.

FRA

40

143.

SLV

40

102.

MDA

9

101.

MAR

40

162.

UKR

40

158.

TUN

40

Variable Format: numeric

Notes: UNF:5:J2FuHbo6mT+uQbffzQoXYw==

loggdppc

f1545265 Location:

Variable Format: numeric

Notes: UNF:5:EbpQc+ftAi1cTu6GvxU0Lg==

logpoptot

f1545265 Location:

Variable Format: numeric

Notes: UNF:5:so1SoUjqGgTGI3v75b8ILA==

rich

f1545265 Location:

Variable Format: numeric

Notes: UNF:5:nIBG7YlQ3u64HFtz4gLVDw==

richdem

f1545265 Location:

Variable Format: numeric

Notes: UNF:5:Ek0Id+ufWLpF24+DT/e0Bw==

poordem

f1545265 Location:

Variable Format: numeric

Notes: UNF:5:gvwTXvR/xxoziQTQDqmcyA==

l5check

f1545265 Location:

Variable Format: numeric

Notes: UNF:5:VLeqmownrHM7U+3/K+Qw0Q==

leadcheck

f1545265 Location:

Variable Format: numeric

Notes: UNF:5:psD3nK0x5yO8VSohspBP0Q==

leadfemlifeex

f1545265 Location:

Variable Format: numeric

Notes: UNF:5:ejfmU5TCRJS9PBF0NJSN3A==

leadfemschool

f1545265 Location:

Variable Format: numeric

Notes: UNF:5:9i6clwA/j4XgNRJg7HnGKg==

l5richdem

f1545265 Location:

Variable Format: numeric

Notes: UNF:5:aUBl2IENsPC3H9TxIBjrUw==

l5poordem

f1545265 Location:

Variable Format: numeric

Notes: UNF:5:EVo1uUbdY5dAId3JDEfRQQ==

v1

f1545261 Location:

Variable Format: numeric

Notes: UNF:5:AwBeVFHc3oDfr2f99dNc7A==

countrycode

f1545261 Location:

Variable Format: character

Notes: UNF:5:sy3szGXDJXnNnXPKIrpDzQ==

countryname

f1545261 Location:

Variable Format: character

Notes: UNF:5:z0dT3GL72fyCvkuSYsoPYA==

year

f1545261 Location:

Variable Format: numeric

Notes: UNF:5:vjTWiFNH1ZE6FpzS5Cr8Vw==

femlifeex

f1545261 Location:

Variable Format: numeric

Notes: UNF:5:z7eaRnKQOZANY38o5yqq0g==

femschool

f1545261 Location:

Variable Format: numeric

Notes: UNF:5:/azHvUGHT9JGxfHb5OWq1g==

gdpgrowth

f1545261 Location:

Variable Format: numeric

Notes: UNF:5:BDoCOeX3XVcksJU5fVgI1Q==

gdppc

f1545261 Location:

Variable Format: numeric

Notes: UNF:5:UDCqYHP41298IpS3JYHxtw==

poptot

f1545261 Location:

Variable Format: numeric

Notes: UNF:5:5RybRlkWTeWFllrCuBsNdQ==

polity2

f1545261 Location:

Variable Format: numeric

Notes: UNF:5:ZjprKtxwlNol18T2x3QiRw==

panelcode

f1545261 Location:

Value

Label

Frequency

Text

125.

PAK

40

77.

ISL

40

139.

SEN

40

36.

COM

20

69.

HRV

10

20.

BLZ

40

94.

LBY

40

4.

ARE

40

3.

ALB

40

145.

SUR

40

112.

MRT

40

76.

IRQ

40

136.

RWA

40

24.

BRN

40

109.

MMR

40

98.

LTU

40

117.

NER

40

19.

BLR

40

160.

TZA

40

141.

SLB

40

127.

PER

40

108.

MLT

40

73.

IND

40

34.

COG

40

87.

KIR

10

16.

BGR

40

82.

JPN

40

151.

SYR

40

157.

TTO

40

17.

BHR

40

173.

ZWE

40

103.

MDG

40

31.

CHN

40

169.

YEM

40

46.

DOM

40

152.

TCD

40

100.

LVA

40

107.

MLI

40

44.

DMA

17

43.

DJI

40

2.

AGO

40

147.

SVN

9

56.

GAB

40

116.

NAM

40

167.

VEN

40

57.

GBR

40

41.

CZE

20

153.

TGO

40

48.

ECU

40

88.

KNA

17

80.

JAM

40

114.

MWI

40

81.

JOR

40

124.

OMN

40

143.

SLV

40

135.

RUS

40

12.

BEL

40

21.

BOL

40

58.

GEO

19

148.

SWE

40

161.

UGA

40

172.

ZMB

40

155.

TJK

40

33.

CMR

40

129.

PNG

40

72.

IDN

40

55.

FRA

40

171.

ZAF

40

52.

ETH

40

66.

GTM

40

166.

VCT

17

5.

ARG

17

159.

TUR

40

122.

NPL

40

91.

LAO

40

132.

PRT

40

130.

POL

40

74.

IRL

40

51.

EST

40

63.

GNQ

40

79.

ITA

40

162.

UKR

40

9.

AUT

40

86.

KHM

40

1.

AFG

40

168.

VNM

40

106.

MKD

10

40.

CYP

40

49.

EGY

40

89.

KOR

40

71.

HUN

40

123.

NZL

40

150.

SYC

40

6.

ARM

40

68.

HND

40

45.

DNK

40

25.

BTN

40

154.

THA

40

138.

SDN

40

8.

AUS

40

64.

GRC

40

146.

SVK

20

84.

KEN

40

158.

TUN

40

47.

DZA

40

7.

ATG

40

42.

DEU

40

75.

IRN

40

27.

CAF

40

85.

KGZ

20

163.

URY

40

170.

YUG

40

96.

LKA

40

18.

BHS

40

54.

FJI

40

137.

SAU

40

38.

CRI

40

110.

MNG

40

30.

CHL

40

50.

ESP

40

101.

MAR

40

90.

KWT

40

13.

BEN

40

131.

PRK

40

67.

GUY

40

111.

MOZ

40

95.

LCA

20

149.

SWZ

40

26.

BWA

40

134.

QAT

40

32.

CIV

40

165.

UZB

20

15.

BGD

40

93.

LBR

40

65.

GRD

17

60.

GIN

40

97.

LSO

40

133.

PRY

40

102.

MDA

9

142.

SLE

40

23.

BRB

40

11.

BDI

40

61.

GMB

40

126.

PAN

40

115.

MYS

40

53.

FIN

40

14.

BFA

40

164.

USA

40

28.

CAN

40

83.

KAZ

20

121.

NOR

40

92.

LBN

40

62.

GNB

40

39.

CUB

40

99.

LUX

40

70.

HTI

40

29.

CHE

40

59.

GHA

40

120.

NLD

40

105.

MEX

40

113.

MUS

40

104.

MDV

40

78.

ISR

40

22.

BRA

40

119.

NIC

40

156.

TKM

40

35.

COL

40

128.

PHL

40

37.

CPV

40

140.

SGP

40

144.

SOM

40

118.

NGA

40

10.

AZE

40

Variable Format: numeric

Notes: UNF:5:J2FuHbo6mT+uQbffzQoXYw==

loggdppc

f1545261 Location:

Variable Format: numeric

Notes: UNF:5:AqUC8koSUDhxz4z3pgI52A==

logpoptot

f1545261 Location:

Variable Format: numeric

Notes: UNF:5:kyUkjXM+6AfSoN0gp0p/Zw==

rich

f1545261 Location:

Variable Format: numeric

Notes: UNF:5:HjNS0LicEkhrpZvMJvCpcA==

richdem

f1545261 Location:

Variable Format: numeric

Notes: UNF:5:kZM9u+rkZj2obR8Y7Hk5iA==

poordem

f1545261 Location:

Variable Format: numeric

Notes: UNF:5:c3lKyduHosO+Q9wPjDhsxw==

l5check

f1545261 Location:

Variable Format: numeric

Notes: UNF:5:VLeqmownrHM7U+3/K+Qw0Q==

leadcheck

f1545261 Location:

Variable Format: numeric

Notes: UNF:5:psD3nK0x5yO8VSohspBP0Q==

leadfemlifeex

f1545261 Location:

Variable Format: numeric

Notes: UNF:5:8MX5oWt+DleO9Hge32pl7g==

leadfemschool

f1545261 Location:

Variable Format: numeric

Notes: UNF:5:yD1okAYoDQmhjCFEIEu0/Q==

l5richdem

f1545261 Location:

Variable Format: numeric

Notes: UNF:5:/PHtc3DmwzRg6Wo0X+sehA==

l5poordem

f1545261 Location:

Variable Format: numeric

Notes: UNF:5:UyeFLzQ5sBD2+QIq9VbqjQ==

v1

f1545266 Location:

Variable Format: numeric

Notes: UNF:5:AwBeVFHc3oDfr2f99dNc7A==

countrycode

f1545266 Location:

Variable Format: character

Notes: UNF:5:sy3szGXDJXnNnXPKIrpDzQ==

countryname

f1545266 Location:

Variable Format: character

Notes: UNF:5:z0dT3GL72fyCvkuSYsoPYA==

year

f1545266 Location:

Variable Format: numeric

Notes: UNF:5:vjTWiFNH1ZE6FpzS5Cr8Vw==

femlifeex

f1545266 Location:

Variable Format: numeric

Notes: UNF:5:shXsUiCE5+mfLy78toRJ3w==

femschool

f1545266 Location:

Variable Format: numeric

Notes: UNF:5:dBYfaZ7piwJ5WvFAaDlQmA==

gdpgrowth

f1545266 Location:

Variable Format: numeric

Notes: UNF:5:76HK4bkgEHtD6BsiU+n+iA==

gdppc

f1545266 Location:

Variable Format: numeric

Notes: UNF:5:g+mzq1IRTojT1Jc4TFzPTg==

poptot

f1545266 Location:

Variable Format: numeric

Notes: UNF:5:AnYutjIGnaBVixmMX/sOAw==

polity2

f1545266 Location:

Variable Format: numeric

Notes: UNF:5:ZjprKtxwlNol18T2x3QiRw==

panelcode

f1545266 Location:

Value

Label

Frequency

Text

73.

IND

40

20.

BLZ

40

97.

LSO

40

166.

VCT

17

32.

CIV

40

10.

AZE

40

63.

GNQ

40

152.

TCD

40

137.

SAU

40

158.

TUN

40

125.

PAK

40

123.

NZL

40

115.

MYS

40

81.

JOR

40

58.

GEO

19

59.

GHA

40

99.

LUX

40

168.

VNM

40

39.

CUB

40

78.

ISR

40

144.

SOM

40

153.

TGO

40

55.

FRA

40

42.

DEU

40

146.

SVK

20

83.

KAZ

20

86.

KHM

40

22.

BRA

40

113.

MUS

40

108.

MLT

40

51.

EST

40

134.

QAT

40

88.

KNA

17

117.

NER

40

15.

BGD

40

100.

LVA

40

92.

LBN

40

122.

NPL

40

2.

AGO

40

101.

MAR

40

135.

RUS

40

150.

SYC

40

50.

ESP

40

54.

FJI

40

169.

YEM

40

142.

SLE

40

75.

IRN

40

19.

BLR

40

60.

GIN

40

172.

ZMB

40

70.

HTI

40

162.

UKR

40

13.

BEN

40

3.

ALB

40

38.

CRI

40

136.

RWA

40

61.

GMB

40

119.

NIC

40

151.

SYR

40

30.

CHL

40

118.

NGA

40

72.

IDN

40

111.

MOZ

40

48.

ECU

40

29.

CHE

40

71.

HUN

40

126.

PAN

40

11.

BDI

40

17.

BHR

40

77.

ISL

40

68.

HND

40

91.

LAO

40

76.

IRQ

40

133.

PRY

40

43.

DJI

40

138.

SDN

40

141.

SLB

40

130.

POL

40

145.

SUR

40

4.

ARE

40

105.

MEX

40

21.

BOL

40

114.

MWI

40

161.

UGA

40

6.

ARM

40

14.

BFA

40

93.

LBR

40

107.

MLI

40

129.

PNG

40

36.

COM

20

46.

DOM

40

132.

PRT

40

47.

DZA

40

164.

USA

40

157.

TTO

40

90.

KWT

40

124.

OMN

40

52.

ETH

40

98.

LTU

40

8.

AUS

40

56.

GAB

40

109.

MMR

40

163.

URY

40

44.

DMA

17

171.

ZAF

40

165.

UZB

20

89.

KOR

40

1.

AFG

40

67.

GUY

40

155.

TJK

40

49.

EGY

40

96.

LKA

40

95.

LCA

20

149.

SWZ

40

62.

GNB

40

147.

SVN

9

31.

CHN

40

25.

BTN

40

139.

SEN

40

66.

GTM

40

140.

SGP

40

26.

BWA

40

167.

VEN

40

28.

CAN

40

35.

COL

40

7.

ATG

40

173.

ZWE

40

102.

MDA

9

5.

ARG

17

37.

CPV

40

156.

TKM

40

53.

FIN

40

9.

AUT

40

94.

LBY

40

74.

IRL

40

170.

YUG

40

16.

BGR

40

33.

CMR

40

80.

JAM

40

69.

HRV

10

143.

SLV

40

27.

CAF

40

41.

CZE

20

110.

MNG

40

24.

BRN

40

57.

GBR

40

121.

NOR

40

64.

GRC

40

154.

THA

40

116.

NAM

40

34.

COG

40

12.

BEL

40

128.

PHL

40

127.

PER

40

18.

BHS

40

45.

DNK

40

131.

PRK

40

82.

JPN

40

23.

BRB

40

103.

MDG

40

40.

CYP

40

79.

ITA

40

84.

KEN

40

85.

KGZ

20

87.

KIR

10

120.

NLD

40

65.

GRD

17

148.

SWE

40

112.

MRT

40

160.

TZA

40

106.

MKD

10

104.

MDV

40

159.

TUR

40

Variable Format: numeric

Notes: UNF:5:J2FuHbo6mT+uQbffzQoXYw==

loggdppc

f1545266 Location:

Variable Format: numeric

Notes: UNF:5:5prL0YTEPdvCiT2Oc/45gw==

logpoptot

f1545266 Location:

Variable Format: numeric

Notes: UNF:5:jKRBf/fLU3Fp6ejq9T+HLQ==

rich

f1545266 Location:

Variable Format: numeric

Notes: UNF:5:xt0xt5fFladCxXFFdCRVLg==

richdem

f1545266 Location:

Variable Format: numeric

Notes: UNF:5:SuD6IQfORqNUX8CUqo4QAA==

poordem

f1545266 Location:

Variable Format: numeric

Notes: UNF:5:yd3qkiVNLlZtWUArR7KuRQ==

l5check

f1545266 Location:

Variable Format: numeric

Notes: UNF:5:VLeqmownrHM7U+3/K+Qw0Q==

leadcheck

f1545266 Location:

Variable Format: numeric

Notes: UNF:5:psD3nK0x5yO8VSohspBP0Q==

leadfemlifeex

f1545266 Location:

Variable Format: numeric

Notes: UNF:5:hC4FOODJuwRZqupqq+p6Dw==

leadfemschool

f1545266 Location:

Variable Format: numeric

Notes: UNF:5:sXvZIZZLNlDXHiethhzB0Q==

l5richdem

f1545266 Location:

Variable Format: numeric

Notes: UNF:5:1X2W8R+XRIBoj5PEhKQEFA==

l5poordem

f1545266 Location:

Variable Format: numeric

Notes: UNF:5:Ls5se/4SR3g1b6/YXKJUlg==

v1

f1545257 Location:

Variable Format: numeric

Notes: UNF:5:AwBeVFHc3oDfr2f99dNc7A==

countrycode

f1545257 Location:

Variable Format: character

Notes: UNF:5:sy3szGXDJXnNnXPKIrpDzQ==

countryname

f1545257 Location:

Variable Format: character

Notes: UNF:5:z0dT3GL72fyCvkuSYsoPYA==

year

f1545257 Location:

Variable Format: numeric

Notes: UNF:5:vjTWiFNH1ZE6FpzS5Cr8Vw==

femlifeex

f1545257 Location:

Variable Format: numeric

Notes: UNF:5:gDELTrEjrafu9uwL/Joeqg==

femschool

f1545257 Location:

Variable Format: numeric

Notes: UNF:5:nvtr6BNJhMr0jb9mVw2MaQ==

gdpgrowth

f1545257 Location:

Variable Format: numeric

Notes: UNF:5:WYsuuieoVPtvzA4t8sUkIg==

gdppc

f1545257 Location:

Variable Format: numeric

Notes: UNF:5:uaAx2LVuh796V0OzP+bqFQ==

poptot

f1545257 Location:

Variable Format: numeric

Notes: UNF:5:Fp/2BG0/qIY/YFShewAyYA==

polity2

f1545257 Location:

Variable Format: numeric

Notes: UNF:5:ZjprKtxwlNol18T2x3QiRw==

panelcode

f1545257 Location:

Value

Label

Frequency

Text

77.

ISL

40

89.

KOR

40

57.

GBR

40

101.

MAR

40

28.

CAN

40

137.

SAU

40

146.

SVK

20

51.

EST

40

7.

ATG

40

105.

MEX

40

130.

POL

40

154.

THA

40

164.

USA

40

32.

CIV

40

24.

BRN

40

144.

SOM

40

76.

IRQ

40

163.

URY

40

17.

BHR

40

100.

LVA

40

75.

IRN

40

39.

CUB

40

5.

ARG

17

98.

LTU

40

78.

ISR

40

36.

COM

20

62.

GNB

40

68.

HND

40

55.

FRA

40

156.

TKM

40

29.

CHE

40

114.

MWI

40

46.

DOM

40

79.

ITA

40

111.

MOZ

40

127.

PER

40

27.

CAF

40

35.

COL

40

53.

FIN

40

74.

IRL

40

161.

UGA

40

166.

VCT

17

81.

JOR

40

4.

ARE

40

172.

ZMB

40

67.

GUY

40

124.

OMN

40

66.

GTM

40

140.

SGP

40

125.

PAK

40

132.

PRT

40

47.

DZA

40

20.

BLZ

40

160.

TZA

40

22.

BRA

40

3.

ALB

40

42.

DEU

40

126.

PAN

40

152.

TCD

40

40.

CYP

40

92.

LBN

40

117.

NER

40

8.

AUS

40

30.

CHL

40

110.

MNG

40

48.

ECU

40

139.

SEN

40

54.

FJI

40

49.

EGY

40

60.

GIN

40

84.

KEN

40

170.

YUG

40

136.

RWA

40

113.

MUS

40

128.

PHL

40

169.

YEM

40

2.

AGO

40

14.

BFA

40

25.

BTN

40

91.

LAO

40

95.

LCA

20

80.

JAM

40

59.

GHA

40

11.

BDI

40

6.

ARM

40

173.

ZWE

40

158.

TUN

40

43.

DJI

40

162.

UKR

40

133.

PRY

40

150.

SYC

40

153.

TGO

40

72.

IDN

40

135.

RUS

40

99.

LUX

40

138.

SDN

40

64.

GRC

40

119.

NIC

40

115.

MYS

40

15.

BGD

40

104.

MDV

40

12.

BEL

40

31.

CHN

40

168.

VNM

40

142.

SLE

40

13.

BEN

40

70.

HTI

40

131.

PRK

40

1.

AFG

40

151.

SYR

40

33.

CMR

40

38.

CRI

40

109.

MMR

40

71.

HUN

40

19.

BLR

40

122.

NPL

40

65.

GRD

17

171.

ZAF

40

96.

LKA

40

18.

BHS

40

56.

GAB

40

41.

CZE

20

112.

MRT

40

58.

GEO

19

52.

ETH

40

123.

NZL

40

93.

LBR

40

44.

DMA

17

155.

TJK

40

73.

IND

40

116.

NAM

40

103.

MDG

40

118.

NGA

40

88.

KNA

17

26.

BWA

40

167.

VEN

40

94.

LBY

40

108.

MLT

40

159.

TUR

40

10.

AZE

40

61.

GMB

40

85.

KGZ

20

134.

QAT

40

157.

TTO

40

149.

SWZ

40

34.

COG

40

21.

BOL

40

86.

KHM

40

90.

KWT

40

97.

LSO

40

16.

BGR

40

102.

MDA

9

106.

MKD

10

23.

BRB

40

82.

JPN

40

107.

MLI

40

50.

ESP

40

87.

KIR

10

147.

SVN

9

45.

DNK

40

83.

KAZ

20

69.

HRV

10

37.

CPV

40

145.

SUR

40

9.

AUT

40

165.

UZB

20

143.

SLV

40

63.

GNQ

40

120.

NLD

40

148.

SWE

40

129.

PNG

40

141.

SLB

40

121.

NOR

40

Variable Format: numeric

Notes: UNF:5:J2FuHbo6mT+uQbffzQoXYw==

loggdppc

f1545257 Location:

Variable Format: numeric

Notes: UNF:5:JhbQYQd8ut5JMkHOugvllA==

logpoptot

f1545257 Location:

Variable Format: numeric

Notes: UNF:5:bM+vr+EsFfOXW53iFb1Png==

rich

f1545257 Location:

Variable Format: numeric

Notes: UNF:5:zdJfr2pbPdXJcfWKc2/o8Q==

richdem

f1545257 Location:

Variable Format: numeric

Notes: UNF:5:FlboaIfdZX3kQpyAYW1ucQ==

poordem

f1545257 Location:

Variable Format: numeric

Notes: UNF:5:GHVr3TvPUUIWwe7La4eVjw==

l5check

f1545257 Location:

Variable Format: numeric

Notes: UNF:5:VLeqmownrHM7U+3/K+Qw0Q==

leadcheck

f1545257 Location:

Variable Format: numeric

Notes: UNF:5:psD3nK0x5yO8VSohspBP0Q==

leadfemlifeex

f1545257 Location:

Variable Format: numeric

Notes: UNF:5:dNy+/GJKEzS9KHzcBu7vyA==

leadfemschool

f1545257 Location:

Variable Format: numeric

Notes: UNF:5:6iG16wpB4quNnsMeLmVnnw==

l5richdem

f1545257 Location:

Variable Format: numeric

Notes: UNF:5:gemNyKrW/XBDTpK0bGWSAg==

l5poordem

f1545257 Location:

Variable Format: numeric

Notes: UNF:5:y+/NTTLduhaGJGx3XY0xjg==

v1

f1545258 Location:

Variable Format: numeric

Notes: UNF:5:AwBeVFHc3oDfr2f99dNc7A==

countrycode

f1545258 Location:

Variable Format: character

Notes: UNF:5:sy3szGXDJXnNnXPKIrpDzQ==

countryname

f1545258 Location:

Variable Format: character

Notes: UNF:5:z0dT3GL72fyCvkuSYsoPYA==

year

f1545258 Location:

Variable Format: numeric

Notes: UNF:5:vjTWiFNH1ZE6FpzS5Cr8Vw==

femlifeex

f1545258 Location:

Variable Format: numeric

Notes: UNF:5:9ViQ93rwKYq3R1nzqZz0Sg==

femschool

f1545258 Location:

Variable Format: numeric

Notes: UNF:5:bnVktGig7WzsuJw/Rvg5bQ==

gdpgrowth

f1545258 Location:

Variable Format: numeric

Notes: UNF:5:Z+KlHIcLZP3VkyeZwLXZxA==

gdppc

f1545258 Location:

Variable Format: numeric

Notes: UNF:5:rXqDcUUPrzlm+RZEbvm2oA==

poptot

f1545258 Location:

Variable Format: numeric

Notes: UNF:5:mbfcI3LdkHGKQ9j1q7sjJA==

polity2

f1545258 Location:

Variable Format: numeric

Notes: UNF:5:ZjprKtxwlNol18T2x3QiRw==

panelcode

f1545258 Location:

Value

Label

Frequency

Text

87.

KIR

10

99.

LUX

40

59.

GHA

40

72.

IDN

40

120.

NLD

40

1.

AFG

40

53.

FIN

40

163.

URY

40

145.

SUR

40

92.

LBN

40

173.

ZWE

40

153.

TGO

40

52.

ETH

40

79.

ITA

40

90.

KWT

40

56.

GAB

40

81.

JOR

40

34.

COG

40

91.

LAO

40

83.

KAZ

20

155.

TJK

40

129.

PNG

40

147.

SVN

9

97.

LSO

40

16.

BGR

40

64.

GRC

40

168.

VNM

40

77.

ISL

40

5.

ARG

17

134.

QAT

40

141.

SLB

40

41.

CZE

20

161.

UGA

40

140.

SGP

40

159.

TUR

40

74.

IRL

40

69.

HRV

10

23.

BRB

40

94.

LBY

40

89.

KOR

40

100.

LVA

40

50.

ESP

40

160.

TZA

40

19.

BLR

40

102.

MDA

9

170.

YUG

40

162.

UKR

40

152.

TCD

40

103.

MDG

40

25.

BTN

40

119.

NIC

40

15.

BGD

40

76.

IRQ

40

66.

GTM

40

22.

BRA

40

54.

FJI

40

116.

NAM

40

28.

CAN

40

68.

HND

40

7.

ATG

40

169.

YEM

40

75.

IRN

40

43.

DJI

40

106.

MKD

10

8.

AUS

40

107.

MLI

40

82.

JPN

40

11.

BDI

40

137.

SAU

40

44.

DMA

17

88.

KNA

17

146.

SVK

20

49.

EGY

40

118.

NGA

40

58.

GEO

19

131.

PRK

40

104.

MDV

40

148.

SWE

40

55.

FRA

40

45.

DNK

40

35.

COL

40

172.

ZMB

40

121.

NOR

40

26.

BWA

40

4.

ARE

40

62.

GNB

40

31.

CHN

40

95.

LCA

20

123.

NZL

40

143.

SLV

40

111.

MOZ

40

109.

MMR

40

156.

TKM

40

110.

MNG

40

101.

MAR

40

78.

ISR

40

40.

CYP

40

114.

MWI

40

42.

DEU

40

171.

ZAF

40

142.

SLE

40

128.

PHL

40

86.

KHM

40

136.

RWA

40

12.

BEL

40

154.

THA

40

112.

MRT

40

113.

MUS

40

24.

BRN

40

150.

SYC

40

60.

GIN

40

9.

AUT

40

158.

TUN

40

13.

BEN

40

127.

PER

40

115.

MYS

40

122.

NPL

40

132.

PRT

40

108.

MLT

40

10.

AZE

40

38.

CRI

40

70.

HTI

40

96.

LKA

40

57.

GBR

40

33.

CMR

40

3.

ALB

40

126.

PAN

40

167.

VEN

40

164.

USA

40

157.

TTO

40

133.

PRY

40

135.

RUS

40

48.

ECU

40

98.

LTU

40

14.

BFA

40

139.

SEN

40

117.

NER

40

46.

DOM

40

85.

KGZ

20

20.

BLZ

40

166.

VCT

17

29.

CHE

40

47.

DZA

40

32.

CIV

40

36.

COM

20

73.

IND

40

30.

CHL

40

93.

LBR

40

130.

POL

40

71.

HUN

40

2.

AGO

40

84.

KEN

40

138.

SDN

40

144.

SOM

40

149.

SWZ

40

63.

GNQ

40

21.

BOL

40

39.

CUB

40

67.

GUY

40

37.

CPV

40

165.

UZB

20

151.

SYR

40

105.

MEX

40

80.

JAM

40

125.

PAK

40

6.

ARM

40

17.

BHR

40

27.

CAF

40

65.

GRD

17

51.

EST

40

124.

OMN

40

61.

GMB

40

18.

BHS

40

Variable Format: numeric

Notes: UNF:5:J2FuHbo6mT+uQbffzQoXYw==

loggdppc

f1545258 Location:

Variable Format: numeric

Notes: UNF:5:8DBy5WsOjysDU1EFWlh0Kw==

logpoptot

f1545258 Location:

Variable Format: numeric

Notes: UNF:5:lAPaIlfkp8KHvRJ/ndirdA==

rich

f1545258 Location:

Variable Format: numeric

Notes: UNF:5:ViG8w2+0Wt5ySC54PKRdsQ==

richdem

f1545258 Location:

Variable Format: numeric

Notes: UNF:5:KWTJatlEFt+syYR3ujfqqw==

poordem

f1545258 Location:

Variable Format: numeric

Notes: UNF:5:0rYwf5NVaszsfhDeo0rSzw==

l5check

f1545258 Location:

Variable Format: numeric

Notes: UNF:5:VLeqmownrHM7U+3/K+Qw0Q==

leadcheck

f1545258 Location:

Variable Format: numeric

Notes: UNF:5:psD3nK0x5yO8VSohspBP0Q==

leadfemlifeex

f1545258 Location:

Variable Format: numeric

Notes: UNF:5:TuHjdo7ejp2datpIHtD5KQ==

leadfemschool

f1545258 Location:

Variable Format: numeric

Notes: UNF:5:3ADxpdMd93g4i5KXKFVnvw==

l5richdem

f1545258 Location:

Variable Format: numeric

Notes: UNF:5:ZkUGGCkYtqk8XRiPz/GV/g==

l5poordem

f1545258 Location:

Variable Format: numeric

Notes: UNF:5:B7VV3PA79BMxL3vElidvnQ==

Other Study-Related Materials

Label:

baum.do

Text:

a Stata file that contains the commands to replicate the results presented in Table 1. It requires the h$$.csv datasets and generates the hnew$$.dta datasets. Results are displayed and saved to a log file "baumlog.log".

Notes:

text/x-stata-syntax; charset=US-ASCII

Other Study-Related Materials

Label:

baumlog.log

Text:

Results generated by baum.do

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

baummerge2.csv

Text:

the raw data for use in R

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

baummergenona.csv

Text:

the raw data in a slightly more convenient form for reading into Stata, with Stata standard missing values

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

F6 - aaReadme.txt

Text:

The files in this folder replicate the results presented in figure 6 comparing the coefficients of first differences of changes in trade dependence on the level of violence, from Burgoon (2006)

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

F6 - analyzeburg.r

Text:

replicates the original Burgoon results, and then reruns these models with the imputed data. All quantities of interest can be found here. The code also creates the comparison of the calculated first differences of changes in trade dependence on violence presented as figure 6 in the paper

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

F6 - burgoonsubset.RData

Text:

raw data in an R readable format

Notes:

application/x-rlang-transport

Other Study-Related Materials

Label:

F6 - impburg.r

Text:

reads in the data and runs the imputation in Amelia. Running this code will create one hundred imputed datasets named "p3ny$$.csv". Those used to create the graph in the paper are included in this folder. Rerunning this file will overwrite the included imputed datasets. The first ten of these files are included in this folder as they are used in the subsequent code. All 100 imputed datasets (including copies of these first ten) can be found in the folder "figure7a"

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

F7a - impburg.r

Text:

reads in the data and runs the imputation in Amelia. Running this code will create one hundred imputed datasets named "p3ny$$.csv". Those used to create the graph in the paper are included in this folder. Rerunning this file will overwrite the included imputed datasets. The first ten of these files are the same as used in the analysis presented in figure 6

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

F7a-aaReadme.txt

Text:

The files in this folder replicate the first (uppermost) row of graphs in figure 7

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

F7bc - aaReadme.txt

Text:

This folder contains the files and code needed to generate the second two rows (middle and bottom) of figure 7 in the paper

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

F7bc - baummerge2.csv

Text:

the raw data for use in R

Notes:

text/plain; charset=US-ASCII

Other Study-Related Materials

Label:

F7bc - impbaum.r

Text:

reads in the raw data, transforms it to the variables of interest and removes/formats some problems in the raw data, and then creates 100 imputed datasets

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text/plain; charset=US-ASCII

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Fig7a - burgoonsubset.RData

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the raw data in an R readable format

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fig7a.pdf

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graphs associated with figure 7a

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fig7b.pdf

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graphs associated with figure 7b

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fig7c.pdf

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graphs associated with figure 7c

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figure6.zipx

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imputed datasets named "p3ny$$.csv"

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figure7a.r

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plots the distribution of imputed values for the missing elements against the observed data in the key variable of Welfare spending as a percent of GDP. See also the folder "figure6" for the replication and reanalysis after imputation of the Burgoon results

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figure7a.zipx

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imputed datasets named "p3ny$$.csv"

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figure7b.r

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plots the distribution of imputed values for the missing elements against the observed data in the dependent variable of Female Life Expectancy

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figure7bc.zipx

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Imputed datasets are named "hhABCDE.csv" where ABCDE is some random digit number. These names are generated so that imputed datasets resulting from jobs run in parallel by Condor, which are dumped into a fixed location do not overwrite each other. Datasets are then renamed h1.csv through h100.csv. The first ten of these are exactly duplicated in the folder "table1" where the replication and reanalysis after imputation of the results in Baum and Lake (2003) are conducted.

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figure7c.r

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plots the distribution of imputed values for the missing elements against the observed data in the dependent variable of Female Secondary Schooling

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Honaker&King.pdf

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Published article

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miest.ado

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The files miest.* and the related readme are Stata ".ado" files that combine results appropriately across multiple imputations. Written by Ken Scheve, these are available in their current form at the Amelia project page: http://gking.harvard.edu/amelia

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miest.hlp

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The files miest.* and the related readme are Stata ".ado" files that combine results appropriately across multiple imputations. Written by Ken Scheve, these are available in their current form at the Amelia project page: http://gking.harvard.edu/amelia

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misum.ado

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misum.hlp

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Readme.txt

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Detailed information on the files in this study

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readme_1

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Documentation for the files miest.*

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table 1_aaReadme.txt

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The files in this folder replicate the results presented in Table 1

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table1.zipx

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ten imputed datasets of the Baum and Lake. These are the first ten imputed datasets of the one hundred

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