Mit dem Umstieg auf einen Registerzensus sollen Angaben zu Bildungsstand und Bildungsbeteiligung der Gesamtbevölkerung künftig rein aus Verwaltungs- und Statistikdaten ermittelt werden. Derzeit existiert in Deutschland keine Datenbasis, die flächendeckend Bildungsinformationen zur...

This paper studies the impact of active labour market programs for institutionally distinct Indigenous populations in Canada using administrative data on the universe of participants in the Aboriginal Skills and Employment Training Strategy (ASETS). Within Indigenous population groups, we...

This paper provides quasi-experimental evidence on the effects of income taxes on gross hourly wages by utilizing administrative data and a tax reform in Denmark. The reform introduced joint taxation to a middle tax bracket, bringing large changes to the tax system facing married couples. Using...

In this paper, we examine the relationship between p-hacking and data-sharing policies for published articles. We collect 38,876 test statistics from 1,106 articles published in leading economic journals between 2002–2020. While a data-sharing policy increases the provision of research data to...

This paper analyzes whether financial disincentives affect firm demand for disabled workers. In Germany, firms must pay a noncompliance fine if they do not meet their legal quota for disabled workers. I exploit a threshold in this quota: Firms with fewer than 40 employees are required to employ...

We use linked administrative data on the universe of California births to provide novel evidence on economic inequality in infant and maternal health. Infants and mothers at the top of the income distribution have worse birth and morbidity outcomes than their lowest-income counterparts, but are...

This paper analyzes postsecondary enrollment and academic outcomes for people who attended adult education classes in Georgia between July 2017 and December 2020, using linked administrative records for students in the state's adult education, technical college, and university systems. The paper...

This paper develops a machine-learning method that allows researchers to estimate heterogeneous treatment effects with panel data in a setting with many covariates. Our method, which we name the dynamic causal forest (DCF) method, extends the causal-forest method of Wager and Athey (2018) by...

This paper examines the dynamics of Turkey's labor market using job flow analysis. We analyze administrative data from 2006 to 2021, encompassing all non-financial firms and their employees registered with social security institutions, to examine employment dynamics during various periods,...

This paper examines the dynamics of Turkey's labor market using job flow analysis. We analyze administrative data from 2006 to 2021, encompassing all non-financial firms and their employees registered with social security institutions, to examine employment dynamics during various periods,...