This paper investigates the link between the optimal level of non-financial firms? liquid assets and uncertainty. We develop a partial equilibrium model of precautionary demand for liquid assets showing that firms alter their liquidity ratio in response to changes in either macroeconomic or...

We examine why firms change their main bank and how this affects loans, interest payments and firm performance after switching. Using unique firm-bank matched Ukrainian data, the treatment effect estimates suggest that more transparent and riskier companies are more likely to switch their main...

This paper sheds new light on how African countries' legal systems and institutions influence the governance and stability of their banks. We find that institutional factors, in particular the legal family of origin, political stability, contract enforcement and strength of investor protection...

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.

The aim of this paper is to analyze the effect of revenue decentralization on the provision of infrastructure at the sub-national level. We estimate the effects of revenue decentralization and earmarked grant financing on the level of sub-national infrastructure investment in 20 European...

In this study, we suggest an explanation for the alarmingly low growth rates of real housing prices in Canada and Germany in comparison to other OECD countries over 1975-2005. We show that the long-run development of housing markets is determined by real disposable per capita income, real...

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 the autoregressive parameter in dynamic panel data models. The estimators are (nearly) unbiased and perform satisfactorily even for small samples in either the time-series or cross-section dimension.

Efficiency of financial markets is one of the most studied subjects in theoretical finance. Formalization of this idea is realised by the random walk model. Numerous tests have been developed to validate the hypothesis of identically and independently distributed innovations. But the results of...