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Part 1: Document Description
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Citation |
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Title: |
Replication data for: Forecasting the Path of U.S. CO2 Emissions Using State-Level Information |
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Identification Number: |
doi:10.7910/DVN/FYCLRC |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2012-04-11 |
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Version: |
1 |
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Bibliographic Citation: |
Ralf Steinhauser; Maximilian Auffhammer, 2012, "Replication data for: Forecasting the Path of U.S. CO2 Emissions Using State-Level Information", https://doi.org/10.7910/DVN/FYCLRC, Harvard Dataverse, V1, UNF:5:ICj0UlsHsKWd2QSXvIt1pg== [fileUNF] |
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Citation |
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Title: |
Replication data for: Forecasting the Path of U.S. CO2 Emissions Using State-Level Information |
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Identification Number: |
doi:10.7910/DVN/FYCLRC |
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Authoring Entity: |
Ralf Steinhauser (Australian National University) |
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Maximilian Auffhammer (UC Berkeley) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Ralf Steinhauser |
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Date of Deposit: |
2012-03-26 |
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Series Name: |
Volume 94, Issue 1 |
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Holdings Information: |
https://doi.org/10.7910/DVN/FYCLRC |
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Study Scope |
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Abstract: |
N/A |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a> |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Auffhammer, Maximilian, and Steinhauser, Ralf, (2012) "Forecasting the Path of U.S. CO2 Emissions Using State-Level Information." Review of Economics and Statistics 94:1, 172-185. |
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Bibliographic Citation: |
Auffhammer, Maximilian, and Steinhauser, Ralf, (2012) "Forecasting the Path of U.S. CO2 Emissions Using State-Level Information." Review of Economics and Statistics 94:1, 172-185. |
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File Description--f2409109 |
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File: IPCCdatabase_extract.tab |
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Notes: |
UNF:5:ICj0UlsHsKWd2QSXvIt1pg== |
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Stata data files for IPCC database |
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List of Variables: | |
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Label: |
area.xls |
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Text: |
Data on state areas |
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Notes: |
application/octet-stream |
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Label: |
block_bootstrap.m |
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Text: |
called for the bootstrap test file |
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Notes: |
text/plain; charset=US-ASCII |
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Label: |
Bootstrap_in_sampleCriteria.m |
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Text: |
will give you the rest of the numbers that go into tables 3 and 4 |
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Notes: |
text/plain; charset=US-ASCII |
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Label: |
bsds_ralf_ess.m |
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Text: |
called from the main matlab code file to run the bootstrap test |
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Notes: |
text/plain; charset=US-ASCII |
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Label: |
forecast01Fold.mat |
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Text: |
Matlab data file: equivalent population and income projections for the years past 2001 |
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Notes: |
application/matlab-mat |
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Label: |
forecast80_2001.mat |
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Text: |
Matlab data file: population and income projections |
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Notes: |
application/matlab-mat |
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Label: |
input1960-2001all.mat |
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Text: |
Matlab data file:contains the set of all non-projected variables as state-year observations |
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Notes: |
application/matlab-mat |
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Label: |
pop1980.xls |
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Text: |
Census Bureau population projections |
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Notes: |
application/octet-stream |
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Label: |
pop1990.xls |
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Text: |
Census Bureau population projections |
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Notes: |
application/octet-stream |
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Label: |
pop2000.xls |
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Text: |
Census Bureau population projections |
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Notes: |
application/octet-stream |
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Label: |
pop2004_2030.xls |
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Text: |
Population projections |
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Notes: |
application/octet-stream |
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Label: |
POP_GDPinterpolation2001onward.m |
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Text: |
population and income projections for the years past 2001 |
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Notes: |
text/plain; charset=US-ASCII |
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Label: |
POP_GDPinterpolation80new2001.m |
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Text: |
generates the population and income forecast series for the ?90s. |
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Notes: |
text/plain; charset=US-ASCII |
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Label: |
readme.txt |
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Text: |
Overview README file to understand the data and matlab m-files |
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Notes: |
text/plain; charset=US-ASCII |
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Label: |
reg25_inclAgg_doingNonIterativeUncon.m |
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Text: |
Matlab code main file to run regressions |
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Notes: |
text/plain; charset=US-ASCII |
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Label: |
stationary_bootstrap.m |
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Text: |
called for the bootstrap test file |
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Notes: |
text/plain; charset=US-ASCII |
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Label: |
yang-schneider--baseline.xls |
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Text: |
input for one of the benchmark models |
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Notes: |
application/octet-stream |