Replication Data for: Gender stereotyping and chivalry in international negotiations. A survey experiment in the Council of the European Union (doi:10.7910/DVN/3LEWIE)

View:

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

(external link)

Document Description

Citation

Title:

Replication Data for: Gender stereotyping and chivalry in international negotiations. A survey experiment in the Council of the European Union

Identification Number:

doi:10.7910/DVN/3LEWIE

Distributor:

Harvard Dataverse

Date of Distribution:

2019-04-16

Version:

1

Bibliographic Citation:

Naurin, Daniel; Naurin, Elin; Alexander, Amy, 2019, "Replication Data for: Gender stereotyping and chivalry in international negotiations. A survey experiment in the Council of the European Union", https://doi.org/10.7910/DVN/3LEWIE, Harvard Dataverse, V1, UNF:6:irt191qQgExZ0goIryXqoQ== [fileUNF]

Study Description

Citation

Title:

Replication Data for: Gender stereotyping and chivalry in international negotiations. A survey experiment in the Council of the European Union

Identification Number:

doi:10.7910/DVN/3LEWIE

Authoring Entity:

Naurin, Daniel (University of Oslo)

Naurin, Elin (University of Gothenburg)

Alexander, Amy (University of Gothenburg)

Distributor:

Harvard Dataverse

Access Authority:

Naurin, Daniel

Depositor:

Naurin, Daniel

Date of Deposit:

2019-03-19

Holdings Information:

https://doi.org/10.7910/DVN/3LEWIE

Study Scope

Keywords:

Social Sciences, Negotiaitons, Gender, International Relations

Abstract:

We argue that gender stereotypes—stylized expectations of individuals' traits and capabilities based on their gender—may affect the behavior of diplomats and the processes of international negotiations. Specifically, we find in a survey experiment in the Council of the European Union, that female representatives behaving stereotypically weak and vulnerable may trigger a chivalry reaction among male representatives, increasing the likelihood that the latter will agree to support a bargaining proposal from the former. The effect is conditional on the cultural background of the negotiators, in that the chivalry reaction is displayed mainly by diplomats from countries with relatively low levels of gender equality. Our study contributes to the research on nonstandard behavior in international relations, and in particular the expression and reception of emotions in diplomacy. We argue that gender stereotypes may have a moderating impact on decision-making based on such intuitive cognitive processes. We also add to the broader negotiation literature, both by showing the pervasiveness of gender-stereotyping, and by testing at the elite level the generalizability of claims regarding gender effects derived from laboratory experiments. Overall, our findings demonstrate the importance of bringing gender into the study of international negotiations, where it has been largely and surprisingly ignored.

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:

Naurin, Daniel, Elin Naurin, and Amy Alexander. 2019. “Gender Stereotyping and Chivalry in International Negotiations: A Survey Experiment in the Council of the European Union.” International Organization 73 (2): 469–88.

Identification Number:

10.1017/S0020818319000043

Bibliographic Citation:

Naurin, Daniel, Elin Naurin, and Amy Alexander. 2019. “Gender Stereotyping and Chivalry in International Negotiations: A Survey Experiment in the Council of the European Union.” International Organization 73 (2): 469–88.

File Description--f3380931

File: Genderstereotypes.tab

  • Number of cases: 308

  • No. of variables per record: 8

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

Notes:

UNF:6:irt191qQgExZ0goIryXqoQ==

Variable Description

List of Variables:

Variables

ms

f3380931 Location:

Value

Label

Frequency

Text

4.

Greece

11

10.

Netherlands

11

12.

Portugal

11

11.

Austria

11

1.

Belgium

11

6.

France

11

25.

Malta

11

8.

Italy

11

9.

Luxemburg

11

22.

Hungary

11

18.

Lithuania

11

19.

Poland

11

14.

Sweden

11

20.

Czech Rep

11

13.

Finland

11

16.

Estonia

11

21.

Slovakia

11

15.

UK

11

2.

Denmark

11

24.

Cyprus

11

3.

Germany

11

17.

Latvia

11

28.

Croatia

11

5.

Spain

11

27.

Romania

11

26.

Bulgaria

11

7.

Ireland

11

23.

Slovenia

11

Summary Statistics: Valid 308.0; Max. 28.0; Min. 1.0; Mean 14.5; StDev 8.090892454891016;

Variable Format: numeric

Notes: UNF:6:4K6etjnR1OWM+MctzfmpHA==

workgroup

f3380931 Location:

Value

Label

Frequency

Text

23.

Politico-Military working party

0

5.

Working party on Agricultural Questions

0

61.

Politico-Military Group

0

65.

Working Party on Competitiveness and Growth

0

56.

Coreper I

0

64.

Working Party on Agricultural Questions

0

7.

Coreper II

0

51.

Working Party on Tax Questions

28

12.

Politico-Military working party

0

66.

Working Party on the Environment

0

15.

Special Committee on Agriculture

0

17.

Working party on Tax Questions

0

62.

Working Party on Tax Questions

0

22.

Working party on Competitiveness and Growth

0

13.

Political and Security Committee

0

21.

Article 36 committee

0

55.

Working Party on the Environment

28

32.

Article 36 committee

0

53.

Working Party on Agricultural Questions

28

25.

Working party on Agricultural questions

0

49.

Economic Policy Committee

28

1.

Politico-Military Group

0

47.

Political and Security Committee

28

50.

Politico-Military Group

28

14.

Working party on Agricultural questions

0

26.

Special Committee on Agriculture

0

63.

Coordinating committee in the area of police and judicial cooperation in criminal matters

0

4.

Working party on Tax Questions

0

45.

Coreper I

28

57.

Coreper II

0

29.

Coreper I

0

39.

Working Group on Tax Questions

0

48.

Special Committee on Agriculture

28

38.

Economic Policy Ccommittee

0

37.

Special Committee on Agriculture

0

18.

Coreper I

0

30.

Coreper II

0

60.

Economic Policy Committee

0

34.

Politico-Military Group

0

54.

Working Party on Competitiveness and Growth

28

31.

Working party on the Environment

0

43.

Coordinating Committee in the Area of Police and Judicial Cooperation in Criminal Matters

0

11.

Special Committee on Agriculture

0

6.

Coreper I

0

28.

Working party on Tax Questions

0

27.

Economic Policy Committee

0

40.

Coreper I

0

58.

Political security committee

0

52.

Coordinating Committee in the Area of Police and Judicial Cooperation in Criminal Matters

28

35.

Political and Security Committee

0

2.

Working party on the Environment

0

46.

Coreper II

28

44.

Working Group on Competitiveness and Growth

0

16.

Economic Policy Committee

0

24.

Political and Security Committee

0

3.

Mashrek/Mahgreb working party

0

10.

Political and Security Committee

0

19.

Coreper II

0

20.

Working party on the Environment

0

33.

Working party on Competitiveness and Growth

0

42.

Working Party on the Environment

0

59.

Special Committee on Agriculture

0

9.

Working party on Enlargement

0

8.

Economic Policy Committee

0

36.

Veterinary attach��s

0

41.

Coreper II

0

Summary Statistics: Valid 308.0; Min. 45.0; Max. 55.0; Mean 50.0; StDev 3.167423762287307;

Variable Format: numeric

Notes: UNF:6:Jn04oFRMwR12zH0Zu2WLTQ==

gender

f3380931 Location:

Value

Label

Frequency

Text

0.

Male

194

1.

Female

112

Summary Statistics: Mean 0.3660130718954248; Max. 1.0; Min. 0.0; Valid 306.0; StDev 0.48250213945915665;

Variable Format: numeric

Notes: UNF:6:uTLz6bXzyDJTcbhekMf89w==

cooperate

f3380931 Location:

Summary Statistics: Mean 6.189054726368159; StDev 2.0184349387557807; Min. 0.0; Valid 201.0; Max. 10.0;

Variable Format: numeric

Notes: UNF:6:Sy7k8pCwNrB9YtKfoMpIZg==

treatment

f3380931 Location:

Value

Label

Frequency

Text

3.

Group 3 (neutral)

90

2.

Group 2 (he)

65

1.

Group 1 (she)

70

Summary Statistics: Valid 225.0; Min. 1.0; Max. 3.0; Mean 2.088888888888889; StDev 0.8404458378439409

Variable Format: numeric

Notes: UNF:6:gD18bTWY1kk6t7YAOeow9Q==

gender_indexHumbert2012

f3380931 Location:

Summary Statistics: Max. 74.19999694824219; Mean 50.34999983651297; Valid 308.0; Min. 33.70000076293945; StDev 11.26445903456926;

Variable Format: numeric

Notes: UNF:6:GXUsu6FbHplAoEsDNCZ4Xw==

mssizepop

f3380931 Location:

Summary Statistics: Max. 82.4000015258789; Min. 0.4000000059604645; Valid 308.0; StDev 22.164814140127888; Mean 17.503571517765522;

Variable Format: numeric

Notes: UNF:6:ESzHzj9zEafbLNhzwn1mxA==

qmv

f3380931 Location:

Summary Statistics: Min. 0.0; Valid 308.0; StDev 0.8345514737116021; Max. 2.0; Mean 1.1818181818181819

Variable Format: numeric

Notes: UNF:6:7WncdJkNZmGjLqrUXCoRsg==

Other Study-Related Materials

Label:

Genderstereotypes_do.do

Notes:

application/x-stata-syntax