The system GMM estimator for dynamic panel data models combines moment conditions for the model in first differences with moment conditions for the model in levels. It has been shown to improve on the GMM estimator in the first differenced model in terms of bias and root mean squared error....

This paper introduces two easy to calculate estimators with desirable properties for theautoregressive parameter in dynamic panel data models. The estimators are (nearly) unbiased andperform satisfactorily even for small samples in either the time-series or cross-section dimension.

This paper investigates the major drivers of governmental redistribution. We retest the Meltzer-Richard hypothesis and account for a plethora of political, institutional, and cultural forces that influence the scope of redistribution. Extended and harmonized data on effective redistribution...

This study examines the relationship between real domestic sales and real exports for Turkish manufacturing firms. Dynamic panel data estimations based on firm-level data for the period 2004-2014 suggest that the two variables are substitutes. Other factors held constant, we estimate that a 10...

This paper evaluates the first-differenced maximum likelihood (FDML) and the continuously updating system generalized method of moments (CU-GMM) estimators of dynamic panel models when the data is close to non-stationary. This case is far from trivial, as a high degree of persistence is the norm...

Using a novel dataset I examine to what extent the introduction of national Asset Management Companies (AMCs) impacts the effects of bank-specific and macroeconomic determinants of the NPLs ratio for European countries. This study provides evidence on how national AMCs help to alleviate the...

The problem of low access to health care services in Africa remains challenging to policy makers whave thus far not sufficiently contemplated polices on the demand-side factors. To assist ipolicymaking, the present study identifies the key determinants of access to healthcare in Africa...

We propose a novel estimator for the dynamic panel model, which solves the failure of strict exogeneity by calculating the bias in the first-order conditions as a function of the autoregressive parameter and solving the resulting equation. We show that this estimator performs well as compared...

We explore inference on regression coefficients in semiparametric multinomial response models. We consider cross-sectional, and both static and dynamic panel settings where we focus throughout on inference under sufficient conditions for point identification. The approach to identification uses...

This paper develops an instrumental variable (IV) estimator for consistent estimation of dynamic panel data models with a multifactor error structure when both N and T, the cross-sectional and time series dimensions respectively, are large. Our approach projects out the common factors from...