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Minimizing Bias in Selection on Observables Estimators When Unconfoundness Fails
Millimet, Daniel L.; Tchernis, Rusty - 2021
We characterize the bias of propensity score based estimators of common average treatment effect parameters in the case …
Persistent link: https://www.econbiz.de/10013325041
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Star Wars : The Empirics Strike Back
Brodeur, Abel - 2013
Journals favor rejection of the null hypothesis. This selection upon tests may distort the behavior of researchers. Using 50,000 tests published between 2005 and 2011 in the AER, JPE, and QJE, we identify a residual in the distribution of tests that cannot be explained by selection. The...
Persistent link: https://www.econbiz.de/10013084682
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Unpacking P-Hacking and Publication Bias
Brodeur, Abel; Carrell, Scott; Figlio, David; Lusher, Lester - 2023
We use unique data from journal submissions to identify and unpack publication bias and p-hacking. We find that initial … publication bias in peer review. Desk-rejected manuscripts display greater heaping than those sent for review i.e. marginally …
Persistent link: https://www.econbiz.de/10014345564
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Difference‐In‐Difference Estimation by FE and OLS When There is Panel Non‐Response
Lechner, Michael - 2015
We show that the OLS and fixed‐effects (FE) estimators of the popular difference-in-differences model may deviate when there is time varying panel non-response. If such non-response does not affect the common-trend assumption, then OLS and FE are consistent, but OLS is more precise. However,...
Persistent link: https://www.econbiz.de/10013012023
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Inference with Difference-in-Differences Revisited
Brewer, Mike - 2014
A growing literature on inference in difference-in-differences (DiD) designs with grouped errors has been pessimistic about obtaining hypothesis tests of the correct size, particularly with few groups. We provide Monte Carlo evidence for three points: (i) it is possible to obtain tests of the...
Persistent link: https://www.econbiz.de/10013061928
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Testing
Bergbauer, Annika - 2018
School systems regularly use student assessments for accountability purposes. But, as highlighted by our conceptual model, different configurations of assessment usage generate performance-conducive incentives of different strengths for different stakeholders in different school environments. We...
Persistent link: https://www.econbiz.de/10012912784
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Misspecification Testing in a Class of Conditional Distributional Models
Rothe, Christoph - 2012
We propose a specification test for a wide range of parametric models for the conditional distribution function of an outcome variable given a vector of covariates. The test is based on the Cramer-von Mises distance between an unrestricted estimate of the joint distribution function of the data,...
Persistent link: https://www.econbiz.de/10013110184
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The Effect of High School Employment on Educational Attainment : A Conditional Difference-in-Differences Approach
Buscha, Franz; Maurel, Arnaud; Page, Lionel; … - 2021
Using American panel data from the National Educational Longitudinal Study of 1988 (NELS:88) this paper investigates the effect of working during grade 12 on attainment. We exploit the longitudinal nature of the NELS by employing, for the first time in the related literature, a semiparametric...
Persistent link: https://www.econbiz.de/10013324975
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Causal Effects of Monetary Shocks : Semiparametric Conditional Independence Tests with a Multinomial Propensity Score
Angrist, Joshua D.; Kuersteiner, Guido M. - 2021
Macroeconomists have long been concerned with the causal effects of monetary policy. When the identification of causal effects is based on a selection-on-observables assumption, non-causality amounts to the conditional independence of outcomes and policy changes. This paper develops a...
Persistent link: https://www.econbiz.de/10013325071
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Persistence Bias and the Wage-Schooling Model
Andini, Corrado - 2013
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/10013087398