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    41 to 50 of 171 Results
    Replication Data for: 'Evidence on Job Search Models from a Survey of Unemployed Workers in Germany'
    Jun 12, 2024 - Research and Replication Data for Labor Economics
    DellaVigna, Stefano; Heining, Joerg; Schmieder, Johannes F.; Trenkle, Simon, 2024, "Replication Data for: 'Evidence on Job Search Models from a Survey of Unemployed Workers in Germany'", https://doi.org/10.7910/DVN/PRHODV, Research Data Center of IZA (IDSC), V1
    The data and programs replicate tables and figures from "Evidence on Job Search Models from a Survey of Unemployed Workers in Germany", by DellaVigna, Heining, Schmieder, and Trenkle. Please see the README file for additional details.
    Replication Data for "Disability Insurance Income Saves Lives"
    Jun 12, 2024 - Research and Replication Data for Labor Economics
    Gelber, Alexander; Moore, Timothy; Pei, Zhuan; Strand, Alexander, 2024, "Replication Data for "Disability Insurance Income Saves Lives"", https://doi.org/10.7910/DVN/LDXGW0, Research Data Center of IZA (IDSC), V1, UNF:6:at16GKk+5T0mhLPIMJfRGg== [fileUNF]
    Gelber, Alexander, Timothy Moore, Zhuan Pei, and Alexander Strand. 2023. “Disability Insurance Income Saves Lives.” Journal of Political Economy 131 (11): 3156–3185, https://doi.org/10.1086/725172.
    Replication Data for: "Delivering Remote Learning Using a Low-tech Solution: Evidence from a Randomized Controlled Trial in Bangladesh"
    Jun 12, 2024 - Research and Replication Data for Labor Economics
    Wang, Liang Choon; Vlassopoulos, Michael; Islam, Asad; Hassan, Hashibul, 2024, "Replication Data for: "Delivering Remote Learning Using a Low-tech Solution: Evidence from a Randomized Controlled Trial in Bangladesh"", https://doi.org/10.7910/DVN/GB61G4, Research Data Center of IZA (IDSC), V1, UNF:6:5atNk5pGBx6Kp0cFm40ZlQ== [fileUNF]
    This is the replication package for "Delivering Remote Learning Using a Low-tech Solution: Evidence from a Randomized Controlled Trial in Bangladesh," accepted in 2024 by the Journal of Political Economy Microeconomics. This document describes the datasets and Stata codes used to...
    Replication Data for: "The Asymmetric Experience of Positive and Negative Economic Growth: Global Evidence Using Subjective Well-Being Data"
    Jun 12, 2024 - Research and Replication Data for Labor Economics
    De Neve, Jan-Emmanuel; Ward, George; De Keulenaer, Femke; Van Landeghem, Bert; Kavetsos, Georgios; Norton, Michael I., 2024, "Replication Data for: "The Asymmetric Experience of Positive and Negative Economic Growth: Global Evidence Using Subjective Well-Being Data"", https://doi.org/10.7910/DVN/8EPWQF, Research Data Center of IZA (IDSC), V1, UNF:6:HNlq2toQEyGxQ0y2BJIsPw== [fileUNF]
    Replication Data for: "The Asymmetric Experience of Positive and Negative Economic Growth: Global Evidence Using Subjective Well-Being Data"
    Replication Data for: Demand for off-grid solar electricity – Experimental evidence from Rwanda
    Jun 12, 2024 - Research and Replication Data for Labor Economics
    Peters, Jörg; Lenz, Luciane; Sievert, Maximiliane; Grimm, Michael, 2024, "Replication Data for: Demand for off-grid solar electricity – Experimental evidence from Rwanda", https://doi.org/10.7910/DVN/KSYM2T, Research Data Center of IZA (IDSC), V1, UNF:6:e4XIdMssTZduaSKrLW43wg== [fileUNF]
    This is primary, experimental data collected by the authors in Rwanda in 2015. The experiment randomly assigned payment schemes to 323 households and offered three types of solar kits for purchase using a Becker-DeGroot-Marschak auction design.The dataset includes information on...
    Replication Data for: "Detecting Drivers of Behavior at an Early Age: Evidence from a Longitudinal Field Experiment"
    Jun 12, 2024 - Research and Replication Data for Labor Economics
    Castillo, Marco; List, John A.; Petrie, Ragan; Samek, Anya, 2024, "Replication Data for: "Detecting Drivers of Behavior at an Early Age: Evidence from a Longitudinal Field Experiment"", https://doi.org/10.7910/DVN/L28TD1, Research Data Center of IZA (IDSC), V1, UNF:6:CQCOhEyjDYqiOp5lFXdH1Q== [fileUNF]
    This is the replication package for "Detecting Drivers of Behavior at an Early Age: Evidence from a Longitudinal Field Experiment," accepted in 2023 by the Journal of Political Economy.
    Home advantage in European international soccer: which dimension of distance matters?
    Jun 12, 2024 - Research and Replication Data for Labor Economics
    Van Damme, Nils; Baert, Stijn, 2024, "Home advantage in European international soccer: which dimension of distance matters?", https://doi.org/10.7910/DVN/G5SJXK, Research Data Center of IZA (IDSC), V1, UNF:6:rkzQFdusgRH0lyQJ8cFQWw== [fileUNF]
    The authors investigate whether the home advantage in soccer differs by various dimensions of distance between the (regions of the) home and away teams: geographical distance, climatic differences, cultural distance, and disparities in economic prosperity. To this end, the author...
    Research and Replication Data for Labor Economics(IZA)
    Research and Replication Data for Labor Economics logo
    Jun 12, 2024
    A searchable catalogue of metadata about datasets relevant for labor and behavioral economics, with pointers to the repositories holding the data. Our ambition is to grow this collection into (as much as possible) a complete catalogue of data which might otherwise by more difficu...
    WageIndicator Foundation
    WageIndicator Foundation logo
    Jun 11, 2024
    The WageIndicator Foundation (WIF) has entered a cooperation agreement with the International Research Data Center (IDSC) of IZA, which will make the IDSC the exclusive outlet for WageIndicator data for the academic community. For WIF this means that the data is available for sci...
    Replication Data for: Global Climate Change Survey
    Apr 30, 2024 - IZA - Institute of Labor Economics
    Andre, Peter; Boneva, Teodora; Chopra, Felix; Falk, Armin, 2023, "Replication Data for: Global Climate Change Survey", https://doi.org/10.15185/gccs.1, Research Data Center of IZA (IDSC), V5
    The global climate, a shared resource, needs collaborative efforts worldwide. A behavioral science perspective can help to better understand the human factor, which is crucial in addressing climate change. To improve our knowledge about the global willingness to cooperate and act...
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