Measurement error causes a downward bias when estimating a panel data linear regression model. The panel data context offers various opportunities to derive moment conditions that result in consistent GMM estimators. We consider three sources of moment conditions: (i) restrictions on the...

Politicians are expected to influence policy outcomes in a way to gain electoral advantage. There is, however, a pending question whether efficiency in the provision of public goods and services is affected by strategic behavior. I examine how electoral cycles influence local government...

We examine the effect of testing for Coronavirus on deaths in eight countries over the month of March 2020 by estimating a fixed-effect regression model using the Generalized Method of Moments (GMM). On average, the data reject the hypothesis that "testing" for the virus does not affect death....

I investigate how the third wave of democracy influenced national defense spending by using a panel of 110 countries for the period 1972-2013. I use new SIPRI data on military expenditure, which has been extended to years prior to 1988 and four democracy measures to address differences among...

This paper extends the work of Baltagi et al. (2018) to the popular dynamic panel data model. We investigate the robustness of Bayesian panel data models to possible misspecication of the prior distribution. The proposed robust Bayesian approach departs from the standard Bayesian framework in...

This paper extends the Baltagi et al. (2018, 2021) static and dynamic ε-contamination papers to dynamic space-time models. We investigate the robustness of Bayesian panel data models to possible misspecification of the prior distribution. The proposed robust Bayesian approach departs from the...

Panel Data Toolbox is a new package for MATLAB that includes functions to estimate the main econometric methods of panel data analysis. The package includes code for the standard fixed, between and random effects estimation methods, as well as for the existing instrumental panel and new spatial...

This paper develops a nonparametric methodology for treatment evaluation with multiple outcome periods under treatment endogeneity and missing outcomes. We use instrumental variables, pre-treatment characteristics, and short-term (or intermediate) outcomes to identify the average treatment...

We find that monetary policy influenced Turkish bank lending between 1991 and 2007 through the money and bank lending channels. While capital and GDP growth have positive and significant long-run effects on bank loan growth, inflation, bank size and efficiency are not significant determinants....