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We consider inference in regression discontinuity designs when the running variable only takes a moderate number of distinct values. In particular, we study the common practice of using confidence intervals (CIs) based on standard errors that are clustered by the running variable. We derive...
Persistent link: https://www.econbiz.de/10012988132
Persistent link: https://www.econbiz.de/10001659231
A family of scaling corrections aimed to improve the chi-square approximation of goodness-of-fit test statistics in small samples, large models, and nonnormal data was proposed in Satorra and Bentler (1994). For structural equations models, Satorra-Bentler's (SB) scaling corrections are...
Persistent link: https://www.econbiz.de/10014173788
In this paper we study the effect of reallocating an indivisible input across a population of production units on average output. We define the Average Redistributive Effect (ARE) as the effect of such a reallocation on average output. We consider the case where inputs are discretely-valued,...
Persistent link: https://www.econbiz.de/10014048467
We develop a general class of nonparametric tests for treatment effects conditional on covariates. We consider a wide spectrum of null and alternative hypotheses regarding conditional treatment effects, including (i) the null hypothesis of the conditional stochastic dominance between treatment...
Persistent link: https://www.econbiz.de/10014201084
We present a semiparametric method to estimate group-level dispersion, which is particularly effective in the presence of censored data. We apply this procedure to obtain measures of occupation-specific wage dispersion using top-coded administrative wage data from the German IAB Employment...
Persistent link: https://www.econbiz.de/10014155122
This article proposes different tests for treatment effect heterogeneity when the outcome of interest, typically a duration variable, may be right-censored. The proposed tests study whether a policy 1) has zero distributional (average) effect for all subpopulations defined by covariate values,...
Persistent link: https://www.econbiz.de/10014123930
We consider the identification of and inference on a partially linear model, when the outcome of interest and some of the covariates are observed in two different datasets that cannot be linked. This type of data combination problem arises very frequently in empirical microeconomics. Using...
Persistent link: https://www.econbiz.de/10014083738
This paper proposes a new strategy for the identification of all the marginal effects of an endogenous multi-valued variable (which can be continuous, or a vector) in a regression model with one binary instrumental variable. The unobservables must be separable from the endogenous variable of...
Persistent link: https://www.econbiz.de/10014135235
In heterogeneous treatment effect models with endogeneity, identification of the LATE typically relies on the availability of an exogenous instrument monotonically related to treatment participation. We demonstrate that a strictly weaker local monotonicity condition identifies the LATEs on...
Persistent link: https://www.econbiz.de/10012963091