Part of the Yale Institution for Social and Policy Studies (ISPS) Dataverse, the ISPS Data Archive includes “replication packages” (i.e., data, analysis code, requisite documentation, and other associated materials) for research supported by ISPS. Replication packages have been reviewed to enable long-term usability using the YARD tool. Read about our approach to curating for reproducibility.
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2,281 to 2,290 of 2,547 Results
ArceneauxGerberGreen_SMR_2010_tables.do
Jan 7, 2026 - A Cautionary Note on the Use of Matching to Estimate Causal Effects: An Empirical Example Comparing Matching Estimates to an Experimental Benchmark
Stata Syntax - 2.6 KB - MD5: 5bde57bc9e32ca81a4558834a514d1b8
Program
Program file - verify - tabs; ISPS number D031F50; Published 11/10/2010; Source: Authors; Created with: Stata 10.0
ArceneauxGerberGreen_SMR_2010_tables.log
Jan 7, 2026 - A Cautionary Note on the Use of Matching to Estimate Causal Effects: An Empirical Example Comparing Matching Estimates to an Experimental Benchmark
Plain Text - 16.8 KB - MD5: f74c20c69ce92073d0bac995fd804475
Output
Output files - verify - tabs; ISPS number D031F56; Published 11/10/2010; Source: Authors; Created with: Text editor
ArceneauxGerberGreen_SMR_2010_tables.R
Jan 7, 2026 - A Cautionary Note on the Use of Matching to Estimate Causal Effects: An Empirical Example Comparing Matching Estimates to an Experimental Benchmark
R Syntax - 4.2 KB - MD5: 12ba8303560db668cd84b56d27d86943
Program
Program file - verify - tabs; ISPS number D031F16; Published 11/10/2010; Source: Authors; Created with: R 2.9.1
emindex.ado
Jan 7, 2026 - A Cautionary Note on the Use of Matching to Estimate Causal Effects: An Empirical Example Comparing Matching Estimates to an Experimental Benchmark
Stata Ado Script - 1.6 KB - MD5: 9a27bac6eb00d6539e85fb62ed81c31d
Program
Program file - match - emindex; ISPS number D031F15; Published 11/10/2010; Source: Authors; Created with: Stata 10.0
readme.rtf
Jan 7, 2026 - A Cautionary Note on the Use of Matching to Estimate Causal Effects: An Empirical Example Comparing Matching Estimates to an Experimental Benchmark
Rich Text Format - 1.8 KB - MD5: 1e6be13e65ad38a3bc74eed2b0869d75
README
Readme file; ISPS number D031F00; Published 11/10/2010; Source: Authors; Created with: Text editor
S_M_Green_AJPS_2012_annotated_replication.do
Jan 7, 2026 - Detecting Spillover Effects: Design and Analysis of Multilevel Experiments
Stata Syntax - 8.3 KB - MD5: f168416612bd5301ca854d86b0a8b20b
Program
Program file - annotated replication; ISPS number D030F03; Published 1/27/2014; Source: Authors; Created with: Stata 12.0
S_M_Green_AJPS_2012_changes-to-dataset.do
Jan 7, 2026 - Detecting Spillover Effects: Design and Analysis of Multilevel Experiments
Stata Syntax - 12.3 KB - MD5: 11a200c6925e97245e3f316ea1a3f192
Program
Program file - changes to dataset; ISPS number D030F05; Published 1/27/2014; Source: Authors; Created with: Stata 12.0
S_M_Green_AJPS_2012_Chicago_cleanold.tab
Jan 7, 2026 - Detecting Spillover Effects: Design and Analysis of Multilevel Experiments
Tabular Data - 9.1 MB - 30 Variables, 71127 Observations - UNF:6:JpMg1n2HRZy6WklzT+Irag==
Administrative (e.g., voting records)Data
Data file; ISPS number D030F01; Published 1/27/2014; Source: Authors; Created with: Stata 12.0
S_M_Green_AJPS_2012_Treatment.pdf
Jan 7, 2026 - Detecting Spillover Effects: Design and Analysis of Multilevel Experiments
Adobe PDF - 94.6 KB - MD5: 108f7a4e215ff0aa41dc3afe43191a61
Treatment Materials
Treatment materials; ISPS number D030F07; Published 1/27/2014; Source: Authors; Created with: Adobe
S_M_Green_AJPS_2012_variable-labels.do
Jan 7, 2026 - Detecting Spillover Effects: Design and Analysis of Multilevel Experiments
Stata Syntax - 1.9 KB - MD5: ba42b5e688b27e3984af190342904c10
Program
Program file - var labels; ISPS number D030F04; Published 1/27/2014; Source: Authors; Created with: Stata 12.0
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