1 to 4 of 4 Results
May 13, 2024
Melany Gualavisi; Marieke Kleemans; Rebecca Thornton, 2024, "Replication Data and Code for: Moving in Academia: Who Moves and What Happens After?", https://doi.org/10.7910/DVN/0VZBV2, Harvard Dataverse, V1, UNF:6:aqmFHu4Lr3IBRDw5LQxzlg== [fileUNF]
We study labor mobility among academic economists in the US. Analyzing CV data from over 6,000 economists at R1 institutions, we document that female Assistant and Associate Professors are 8 percentage points less likely to move with promotion than their male counterparts. Women are also more likely than men to relocate to lower-ranked institutions... |
May 2, 2023
Kleemans, Marieke; Thornton, Rebecca, 2023, "Replication Data for: Fully Promoted: The Distribution and Determinants of Full Professorship in the Economics Profession", https://doi.org/10.7910/DVN/OJWT9A, Harvard Dataverse, V1, UNF:6:uW9mESNCfXOKor/LKKJ2gA== [fileUNF]
We document the distribution and determinants of full professorship in the economics profession. Using department-level data from CSWEP, we show that while the share of female full professors has increased over time, doctoral departments still only have 2 female full professors on average and liberal arts departments 1.14. Moreover, 25% of doctoral... |
Apr 20, 2021
Kleemans, Marieke; Thornton, Rebecca L., 2021, "Replication Data for: "Who Belongs? The Determinants of Selective Membership into the National Bureau of Economic Research"", https://doi.org/10.7910/DVN/HR9G0X, Harvard Dataverse, V1, UNF:6:BPCH3cy+oo/E1Lf2aqJTfw== [fileUNF]
We examine the determinants of membership into the National Bureau of Economic Research using data from all tenured and tenure-track economists at R1 universities in the US. We construct an annual panel of employment, research productivity, NBER membership, and connectedness to NBER members. Using survival analysis, we show that conditional on cont... |
Sep 1, 2020
Hamory, Joan; Kleemans, Marieke; Li, Nicholas Y.; Miguel, Edward, 2020, "Replication Data for: “Reevaluating Agricultural Productivity Gaps with Longitudinal Microdata”", https://doi.org/10.7910/DVN/BSKDSD, Harvard Dataverse, V1, UNF:6:5LHtmyy/+MsM0HXeWd8LAA== [fileUNF]
Recent research has pointed to large gaps in labor productivity between the agricultural and non-agricultural sectors in low-income countries, as well as between workers in rural and urban areas. Most estimates are based on national accounts or repeated cross-sections of micro-survey data, and as a result typically struggle to account for individua... |