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drawer") bias in the estimates and, after due account is taken of this bias, we find that differences due to estimation …
Persistent link: https://www.econbiz.de/10014159885
identification regions, and we illustrate our methods by partially identifying the effect of maternal education on the 2015 PISA math …
Persistent link: https://www.econbiz.de/10011992007
Recent research exploits a variety of natural experiments that create exogenous variation in annual school days to estimate the average effect of formal schooling on students' academic achievement. However, the extant literature's focus on average effects masks potentially important variation in...
Persistent link: https://www.econbiz.de/10011317634
Consider an observed binary regressor D and an unobserved binary variable D*, both of which affect some other variable Y. This paper considers nonparametric identification and estimation of the effect of D on Y , conditioning on D* = 0. For example, suppose Y is a person's wage, the unobserved D...
Persistent link: https://www.econbiz.de/10003735947
The paper proposes two estimation approaches for duration models that are subject to right censored observations and selection effects. Main focus is on accelerated duration models and the estimators that are of the limited information type, i.e. they are not based on a fully specified selection...
Persistent link: https://www.econbiz.de/10011318601
, and illustrate our methods by partially identifying the effect of maternal education on the 2015 PISA math test scores in …
Persistent link: https://www.econbiz.de/10012896490
selection is the major source of bias in the OLS estimates of schooling returns, and the dynamic selection caused by endogenous …
Persistent link: https://www.econbiz.de/10014177772
Persistent link: https://www.econbiz.de/10013260201
bias. We show that grouping can also create substantial aggregation bias, calling into question how well pseudo-panels can … mimic panel estimates. We create two metrics for assessing the grouping process, one for each potential source of bias. If … both metrics are above certain recommended values, the biases from aggregation and sampling error are minimised, meaning …
Persistent link: https://www.econbiz.de/10011781802
This paper provides an expression for the bias of the OLS estimator of the schooling coefficient in a simple static … coefficient is biased upward, and the bias is increasing with potential labor-market experience and the degree of earnings … persistence. In addition, NLSY data are used to show that the magnitude of the persistence bias is non-negligible, and the bias …
Persistent link: https://www.econbiz.de/10009699444