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Dec 9, 2016 - Political Analysis Dataverse
Butler, Daniel; Homola, Jonathan, 2016, "Replication Data for: An Empirical Justification for the Use of Racially Distinctive Names to Signal Race in Experiments", doi:10.7910/DVN/LUGBL1, Harvard Dataverse, V1 [UNF:6:xVWZjghKCtaI26kPihDaRA==]
This provides the files necessary to replicate "An Empirical Justification for the Use of Racially Distinctive Names to Signal Race in Experiments."
Dec 9, 2016 - Research & Politics Dataverse
Holman, Mirya; Merolla, Jennifer; Zechmeister, Elizabeth, 2016, "Replication Data for: Can Experience Overcome Stereotypes in Times of Terror Threat?", doi:10.7910/DVN/TQYZ4O, Harvard Dataverse, V1
Data and replication information for Can Experience Overcome Stereotypes in Times of Terror Threat? Research on evaluations of leaders has frequently found that female leaders, particularly Democrats, receive lower ratings in times of national security crisis. However, less is kn...
Dec 8, 2016 - UCLA Social Science Data Archive Dataverse
Behrman, Jere R.; Belli, Humberto; Wolfe, Barbara L.; Ybarra, Antonio, 2016, "Socioeconomic role of Nicaraguan women, 1977-1978", hdl:1902.1/M015, Harvard Dataverse, V1
This study focuses on current and retrospective information obtained from 4104 women age 15-45 in Nicaragua. There are four areas of concentration. 1) Economic activity of the respondent and other members of the household; 2) Fertility and contraceptive behavior; 3) Health and nu...
Dec 8, 2016 - American Journal of Political Science (AJPS) Dataverse
Thrower, Sharece, 2016, "Replication Data for: To Revoke or Not Revoke? The Political Determinants of Executive Order Longevity", doi:10.7910/DVN/LZGQOH, Harvard Dataverse, V1 [UNF:6:HoWUG8bvlsiqOgxKJ59NUg==]
Though many scholars study the formation of policy, less attention is given to its endurance. In this paper, I seek to determine what contributes to the longevity of policy by examining the case of presidential unilateralism. While scholars widely recognize presidents’ ability to...
Dec 8, 2016 - Political Behavior Dataverse
Panagopoulos, Costas, 2016, "Replication Data for Panagopoulos, Leighley and Hamel: Are Voters Mobilized by a ‘Friend-and-Neighbor’ on the Ballot? Evidence from a Field Experiment", doi:10.7910/DVN/P9SUH8, Harvard Dataverse, V1 [UNF:6:t6l8e+p6Z1YpG1K4Ep99Kw==]
These files contains replication data and syntax/code (Stata) for this article.
Dec 8, 2016 - UCLA Social Science Data Archive Dataverse
South Africa. Statistics South Africa, 2016, "General Household Survey [South Africa], 2002", hdl:1902.1/M1069V1, Harvard Dataverse, V1
The main purpose of the General Household Survey (GHS) is to measure the level of development and performance of various government programmes and projects. This report specifically aims at providing national indicators on various living conditions such as access to services and...
Dec 8, 2016 - LakeVicFish Dataverse
Hamilton, Stuart, 2016, "Islands, Lake Victoria, Vector Polygon, ~2015", doi:10.7910/DVN/E0515D, Harvard Dataverse, V1
Islands, Lake Victoria, Vector Polygon, ~2015 Reference Information and Units: Projected Coordinate System: Africa Lambert Conformal Conic ESRI:102024 (https://epsg.io/102024) GCS: GCS_WGS_1984 File Naming Convention: LV_Islands_Polygon.shp Data Origin: Created from using Shoreli...
Dec 8, 2016 - LakeVicFish Dataverse
Hamilton, Stuart, 2016, "Islands, Lake Victoria, Vector Polyline, ~2015", doi:10.7910/DVN/727XKD, Harvard Dataverse, V1
Islands, Lake Victoria, Vector Polyline, ~2015 Reference Information and Units: Projected Coordinate System: Africa Lambert Conformal Conic ESRI:102024 (https://epsg.io/102024) GCS: GCS_WGS_1984 File Naming Convention: LV_Islands_Line.shp Data Origin: Created from using Shoreline...
Dec 8, 2016 - Consolidated Serial Homicide Offender Database Dataverse
Aamodt, Michael; Fox, James Alan ; Hickey, Eric; Hinch, Ronald; Labuschagne, Gerard; Levin, Jack; McClellan, Janet; Nelson, Bryan; Newton, Michael; Quinet, Kenna; Steiger, Cloyd; White, John; Yaksic, Enzo, 2016, "Consolidated Serial Homicide Offender Database", doi:10.7910/DVN/4N0RND, Harvard Dataverse, V1
We would like to recruit scientists to use this data in novel ways. Given that machine learning and AI are the next frontiers, perhaps future projects should incorporate those realms. There are many unanswered questions in this area of research and all hypotheses should be explor...
Dec 8, 2016
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