Since little is known about the degree of bias in estimated fixed effects in panel data models, we run Monte Carlo simulations on a range of different estimators. We find that Anderson-Hsiao IV, Kiviet's bias-corrected LSDV and GMM estimators all perform well in both short and long panels....

The main aim of this paper is to compare the size and size-adjusted power properties of four residual-based and one maximum-likelihood-based panel cointegration tests with the help of Monte Carlo simulations. In this study the panel-p, the group-p, the panel-t, the group-t statistics of Pedroni...

This paper studies the cyclical pattern of ex post markups in the banking system using balance-sheet data for a large set of countries. Markups are strongly countercyclical even after controlling for financial development, banking concentration, operational costs, inflation, and simultaneity or...

Output growth, investment and the real interest rate are all found empirically to be negatively affected by inflation. But a seeming puzzle arises of opposite Tobin-like inflation effects because theory indicates a negative Tobin effect when investment falls and a positive Tobin effect when the...

This paper proposes a new panel unit root test based on Simes' [Biometrika 1986, An Improved Bonferroni Procedure for Multiple Tests of Significanceʺ] classical intersection test. The test is robust to general patterns of cross-sectional dependence and yet straightforward to implement, only...

The well-known problem of too many instruments in dynamic panel data GMM is dealt with in detail in Roodman (2009, Oxford Bull. Econ. Statist.). The present paper goes one step further by providing a solution to this problem: factorisation of the standard instrument set is shown to be a valid...

Countries compete with one another for funds distributed by nongovernment organizations (NGOs). We examine the competition over poverty and governance conducted by a NGO in the allocation of its funds among potential recipient countries. The NGO in its decisionmaking process also takes into...

The Wooldridge method is based on a simple and novel strategy to deal with the initial values problem in the nonlinear dynamic random-effects panel data models. This characteristic of the method makes it very attractive in empirical applications. However, its finite sample performance is not...