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I consider a panel vector-autoregressive model with cross-sectional dependence of the disturbances characterized by a spatial autoregressive process. I propose a three-step estimation procedure. Its first step is an instrumental variable estimation that ignores the spatial correlation. In the...
Persistent link: https://www.econbiz.de/10009734675
I consider a simultaneous spatial panel data model, jointly modeling three effects: simultaneous effects, spatial effects and common shock effects. This joint modeling and consideration of cross-sectional heteroskedasticity result in a large number of incidental parameters. I propose two...
Persistent link: https://www.econbiz.de/10012943957
In this study, we develop a novel estimation method for quantile treatment effects (QTE) under rank invariance and rank stationarity assumptions. Ishihara (2020) explores identification of the nonseparable panel data model under these assumptions and proposes a parametric estimation based on the...
Persistent link: https://www.econbiz.de/10013314378
I propose Robust Rao’s Score (RS) test statistic to determine endogeneity of spatial weights matrices in a spatial dynamic panel data (SDPD) model (Qu, Lee, and Yu, 2017). I firstly introduce the bias-corrected score function since the score function is not centered around zero due to the...
Persistent link: https://www.econbiz.de/10013491649
Unconditional quantile treatment effects are difficult to estimate in the presence of fixed effects. Panel data are frequently used because fixed effects or differences are necessary to identify the parameters of interest. The inclusion of fixed effects or differencing of data, however,...
Persistent link: https://www.econbiz.de/10014188311
resulting semiparametric estimator of the parameter vector is asymptotically normal with an optimal rate of convergence … optimal rate of convergence. Two simulated examples are provided to illustrate the finite sample behavior of the proposed …
Persistent link: https://www.econbiz.de/10014191157
Unconditional quantile treatment effects are difficult to estimate in the presence of fixed effects. Panel data are frequently used because fixed effects or differences are necessary to identify the parameters of interest. The inclusion of fixed effects or differencing of data, however,...
Persistent link: https://www.econbiz.de/10008828515
There are evidences that the actual global crisis affected the convergence process in EU. Generally, just new adhered … convergence process will be affected. Synthetically, the pessimistic authors are viewing the future economic dynamics as one of so …-Swan model, Mankiw, Romer, and Weil model, etc.) and by empirical evidences, we are considering the convergence in the level of …
Persistent link: https://www.econbiz.de/10010529078
GMM estimation of autoregressive panel data equations in error-ridden variables when the noise has memory, is considered. The impact of variation in the memory length in signal and noise spread and in the degree of individual heterogeneity are discussed with respect to finite sample bias, using...
Persistent link: https://www.econbiz.de/10010479979
This article empirically assesses the validity of alternative growth models at regional level. This is done by comparing the stochastic properties of physical capital investment and growth using a panel unit root test statistic that is robust to cross-sectional dependence of a spatial nature....
Persistent link: https://www.econbiz.de/10012991585