This paper reviews the main features of the banking and financial sector in ten new EU members, and then examines the relationship between financial development and economic growth in these countries by estimating a dynamic panel model over the period 1994-2007. The evidence suggests that the...

This paper examines the causality relationship between immigration, unemployment and economic growth of the host country. We employ the bootstrap panel Granger causality testing approach of Kónya (2006) that allows to test for causality on each individual country separably by accounting for...

We investigate whether a causal interpretation of the robust association between cognitive skills and economic growth is appropriate and whether cross-country evidence supports a case for the economic benefits of effective school policy. We develop a new common metric that allows tracking...

This paper provides an overview of the complex conceptual and practical challenges that emerging market economies face as they attempt to reform their frameworks for financial regulation. These economies are striving to balance the quest for financial stability with the imperatives of financial...

One of the central concerns in Latin America and the Caribbean (LAC) has been the reduction of poverty and inequality so prevalent in the continent. Using large world samples, the literature has found that financial development increases economic growth, increases the income of the poor, and...

This paper investigates the effects of financial development and political instability on economic growth in a power-ARCH framework with data for Argentina from 1896 to 2000. Our findings suggest that (i) informal or unanticipated political instability (e.g., guerrilla warfare) has a direct...

Researchers in economics and other disciplines are often interested in the causal effect of a binary treatment on outcomes. Econometric methods used to estimate such effects are divided into one of two strands depending on whether they require the conditional independence assumption (i.e.,...

The identification of average causal effects of a treatment in observational studies is typically based either on the unconfoundedness assumption or on the availability of an instrument. When available, instruments may also be used to test for the unconfoundedness assumption (exogeneity of the...