Showing 1 - 10 of 338
We develop non-parametric instrumental variable estimation and inferential theory for econometric models with possibly endogenous regressors whose coefficients can vary over time either deterministically or stochastically, and the time-varying and uniform versions of the standard Hausman...
Persistent link: https://www.econbiz.de/10012670874
We solve a class of identification problems for nonparametric and semiparametric models when the endogenous covariate … identification of structural functions is guaranteed to hold, our approach provides a natural way of estimating these functions …
Persistent link: https://www.econbiz.de/10010500201
We show that the contemporaneous and longer horizon impulse responses estimated using small-scale Proxy structural vector autoregressions (SVARs) can be severely biased in the presence of information insufficiency. Instead, we recommend the use of a Proxy Factor Augmented VAR (FAVAR) model that...
Persistent link: https://www.econbiz.de/10012144239
In this paper, football data from the 2007/2008 to 2016/2017 seasons of the Italian Serie A were used to identify the effects of replacing a coach mid-season due to poor team performance. We used an instrumental variable approach to correlate coach turnover within a season with player...
Persistent link: https://www.econbiz.de/10012146441
We estimate the effects of the arrival of 2.5 million Syrian migrants in Turkey by the end of 2015 on the labor market outcomes of natives, using a difference-in-differences IV methodology. We show that relaxing the common-trend assumption of this methodology -unlike recent papers in the same...
Persistent link: https://www.econbiz.de/10012060217
This paper examines the effects of policy rate announcements on households' inflation expectations over the time period 2003-2015. The effect is estimated using a two-stage least squares regression model. The announced changes are instrumented by a monetary policy surprise variable obtained from...
Persistent link: https://www.econbiz.de/10012806705
This paper considers spatial autoregressive panel data models and extends their analysis to the case where the spatial coefficients differ across the spatial units. It derives conditions under which the spatial coefficients are identified and develops a quasi maximum likelihood (QML) estimation...
Persistent link: https://www.econbiz.de/10011380980
-parametric identification. The data cover the population and include multiple unemployment spells for many individuals. The results indicate a …
Persistent link: https://www.econbiz.de/10010273981
This paper studies semiparametric versions of the classical sample selection model (Heckman (1976, 1979)) without exclusion restrictions. We extend the analysis in Honor'e and Hu (2020) by allowing for parameter heterogeneity and derive implications of this model. We also consider models that...
Persistent link: https://www.econbiz.de/10013479459
This chapter discusses identification of common selection models of the labor market. We start with the classic Roy … ingredients for identification are exclusion restrictions and support conditions. …
Persistent link: https://www.econbiz.de/10010292202