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Applied work often studies the effect of a binary variable ("treatment") using linear models with additive effects. I study the interpretation of the OLS estimands in such models when treatment effects are heterogeneous. I show that the treatment coefficient is a convex combination of two...
Persistent link: https://www.econbiz.de/10012832082
, especially in the presence of serial correlation in the error term, contrary to alternative test statistics. Empirical …
Persistent link: https://www.econbiz.de/10013316613
In spatial econometrics literature estimation and inference are carried out assuming that the matrix of spatial or network connections has uniformly bounded absolute column sums in the number of units, n, in the network. This paper relaxes this restriction and allows for one or more units to...
Persistent link: https://www.econbiz.de/10012849715
In this paper we focus on estimating the degree of cross-sectional dependence in the error terms of a classical panel data regression model. For this purpose we propose an estimator of the exponent of cross-sectional dependence denoted by α; which is based on the number of non-zero pair-wise...
Persistent link: https://www.econbiz.de/10012908680
This paper proposes a quantile regression estimator for a heterogeneous panel model with lagged dependent variables and interactive effects. The paper adopts the Common Correlated Effects (CCE) approach proposed by Pesaran (2006) and Chudik and Pesaran (2015) and demonstrates that the extension...
Persistent link: https://www.econbiz.de/10012908711
current correlation being the best single predictor of the future stock market correlation (2) positive impact of the market …
Persistent link: https://www.econbiz.de/10014237624
In this article, we shed more light on the covariances versus characteristics debate by investigating the explanatory power of the instrumented principal component analysis (IPCA), recently proposed by Kelly et al. (2019). They conclude that characteristics are covariances because there is no...
Persistent link: https://www.econbiz.de/10012830352
This paper considers the implications of the permanent/transitory decomposition of shocks for identification of structural models in the general case where the model might contain more than one permanent structural shock. It provides a simple and intuitive generalization of the influential work...
Persistent link: https://www.econbiz.de/10010276205
This paper extends the transformed maximum likelihood approach for estimation of dynamic panel data models by Hsiao, Pesaran, and Tahmiscioglu (2002) to the case where the errors are cross-sectionally heteroskedastic. This extension is not trivial due to the incidental parameters problem that...
Persistent link: https://www.econbiz.de/10010283629
This paper considers a multivariate t version of the Gaussian dynamic conditional correlation (DCC) model proposed by …
Persistent link: https://www.econbiz.de/10010276212