Showing 1 - 10 of 25
In this paper we analyze estimation of coefficients in regression models under moment restrictions where the moment … an application based on omitted ability bias in estimation of wage regressions. The National Longitudinal Survey Young …
Persistent link: https://www.econbiz.de/10012473146
This paper focuses on developing and adapting statistical models of counts (non-negative integers) in the context of panel data and using them to analyze the relationship between patents and R&D expenditures. The model used is an application and generalization of the Poisson distribution to...
Persistent link: https://www.econbiz.de/10012477612
We present an econometric method for estimating the parameters of a diffusion model from discretely sampled data. The estimator is transparent, adaptive, and inherits the asymptotic properties of the generally unattainable maximum likelihood estimator. We use this method to estimate a new...
Persistent link: https://www.econbiz.de/10012470313
In applied econometric work, analysts are concerned often with estimation of and inferences about interaction effects …
Persistent link: https://www.econbiz.de/10012471373
that self-selection of job changers may cause longitudinal estimation of wage gaps to be inconsistent …
Persistent link: https://www.econbiz.de/10012477140
; both of which are, at least in part, testable, and outline appropriate estimation techniques. The first places reasonable …
Persistent link: https://www.econbiz.de/10012478578
Standard sufficient conditions for identification in the regression discontinuity design are continuity of the conditional expectation of counterfactual outcomes in the running variable. These continuity assumptions may not be plausible if agents are able to manipulate the running variable. This...
Persistent link: https://www.econbiz.de/10012465845
Difference in differences methods have become very popular in applied work. This paper provides a new method for inference in these models when there are a small number of policy changes. This situation occurs in many implementations of these estimators. Identification of the key parameter...
Persistent link: https://www.econbiz.de/10012467208
In this paper I analyze GMM estimation when the sample is not a random draw from the population of interest. I exploit …
Persistent link: https://www.econbiz.de/10012470143
This paper introduces an instrumental variables estimator for the effect of a binary treatment on the quantiles of potential outcomes. The quantile treatment effects (QTE) estimator accommodates exogenous covariates and reduces to quantile regression as a special case when treatment status is...
Persistent link: https://www.econbiz.de/10012472370