Showing 1 - 10 of 223
The economics 'credibility revolution' has promoted the identification of causal relationships using difference-in-differences (DID), instrumental variables (IV), randomized control trials (RCT) and regression discontinuity design (RDD) methods. The extent to which a reader should trust claims...
Persistent link: https://www.econbiz.de/10011906306
endogeneity and attrition/non-response bias, using two instrumental variables. Making use of a discrete instrument for the …
Persistent link: https://www.econbiz.de/10011348296
This overview describes the development of methods for empirical research in the field of labor economics during the past four decades. This period is characterized by the use of micro data to answer policy relevant research question. Prominent in the literature is the search for exogenous...
Persistent link: https://www.econbiz.de/10010259620
endogeneity and missing outcomes. We use instrumental variables, pre-treatment characteristics, and short-term (or intermediate …
Persistent link: https://www.econbiz.de/10010249397
In cases of non-compliance with a prescribed treatment, estimates of causal effects typically rely on instrumental variables. However, when participation is also misreported, this approach can be severely biased. We provide an instrumental variable method that researchers can use to identify the...
Persistent link: https://www.econbiz.de/10013286037
In empirical research, measuring correctly the benefits of welfare interventions is incredibly relevant for policymakers as well as academic researchers. Unfortunately, the endogenous program participation is often misreported in survey data and standard instrumental variable techniques are not...
Persistent link: https://www.econbiz.de/10012243324
Participation in social programs is often misreported in survey data, complicating the estimation of the effects of those programs. In this paper, we propose a model to estimate treatment effects under endogenous participation and endogenous misreporting. We show that failure to account for...
Persistent link: https://www.econbiz.de/10011820585
This paper proposes a fully nonparametric kernel method to account for observed covariates in regression discontinuity designs (RDD), which may increase precision of treatment effect estimation. It is shown that conditioning on covariates reduces the asymptotic variance and allows estimating the...
Persistent link: https://www.econbiz.de/10011760113
Examining the most heavily-cited publications in labor economics from the early 1990s, I show that few of over 3000 articles citing them directly replicates them. They are replicated more frequently using data from other time periods and economies, so that the validity of their central ideas has...
Persistent link: https://www.econbiz.de/10011594530
corresponding OLS estimates, indicating the importance of accounting for ability bias. But interestingly, when applying the three …
Persistent link: https://www.econbiz.de/10003753610