A long-standing challenge for welfare economics is to develop welfare criteria that can be applied to allocations with different population levels. Such a criterion is essential to resolve the optimal population problem, i.e., the tradeoff between population size and the welfare of each person...

We investigate the positive and normative consequences of child-labor restrictions for economic aggregates and welfare. We argue that even though the laissez-faire outcome may be inefficient, there are usually better policies to cure these inefficiencies than the imposition of a child-labor ban....

This paper considers a multivariate t version of the Gaussian dynamic conditional correlation (DCC) model proposed by Engle (2002), and suggests the use of devolatized returns computed as returns standardized by realized volatilities rather than by GARCH type volatility estimates. The t-DCC...

The governments of nearly all countries are major providers of primary and secondary education to their citizens. In some countries, however, public schools coexist with private schools, while in others the government is the sole provider of education. In this study, we ask why different...

Child labor is a persistent phenomenon in many developing countries. In recent years, support has been growing among rich-country governments and consumer groups for the use of trade policies, such as product boycotts and the imposition of international labor standards, to reduce child labor in...

The presence of cross-sectionally correlated error terms invalidates much inferential theory of panel data models. Recently work by Pesaran (2006) has suggested a method which makes use of cross-sectional averages to provide valid inference for stationary panel regressions with multifactor error...

In recent years, a number of governments and consumer groups in rich countries have tried to discourage the use of child labor in poor countries through measures such as product boycotts and the imposition of international labor standards. The purported objective of such measures is to reduce...

In this paper we discuss tests for residual cross section dependence in nonlinear panel data models. The tests are based on average pair-wise residual correlation coefficients. In nonlinear models, the definition of the residual is ambiguous and we consider two approaches: deviations of the...

This paper considers the statistical analysis of large panel data sets where even after conditioning on common observed effects the cross section units might remain dependently distributed. This could arise when the cross section units are subject to unobserved common effects and/or if there are...