Highly non-elliptical posterior distributions may occur in several econometric models, in particular, when the likelihood information is allowed to dominate and data information is weak. We explain the issue of highly non-elliptical posteriors in a model for the effect of education on income...

This paper presents new evidence on income inequality in Latin America over the period 1981-2000. Using a panel data methodology, we find that a reduction in corruption is associated with a rise in inequality. This counterintuitive result can be explained by privatisation. Privatisation removes...

The effect that health has on the retirement decision has long been studied. We examine the reverse relationship, whether retirement has a direct impact on later-life health. To identify the causal relationship, we use early retirement window offers to instrument for retirement. We find no...

In this paper, we test one of the fundamental assumptions in the tax competition literature, namely, that a country's taxable income depends on the tax policies pursued in the domestic and in neighbouring countries. Based on a panel of annual data of 14 Western European countries spanning the...

This paper examines the mechanisms through which output volatility is related to trade openness using an industry-level panel dataset of manufacturing production and trade. The main results are threefold. First, sectors more open to international trade are more volatile. Second, trade is...

In this paper we examine the finite sample performance of two estimators one developed by Blundell, Chen, and Kristensen (2007) (BCK) and the other by Gagliardini and Scaillet (2007) (TIR). This paper focuses on the generalization and expansion of these estimators to a full nonparametric...

When studying different types of returns to education, educational reforms are commonly used in the economics literature as a source of exogenous variation in education. The Swedish compulsory school reform is one example; the reform extended compulsory education throughout the country, in...

Nonlinear regression models have been widely used in practice for a variety of time series and cross-section datasets. For purposes of analyzing univariate and multivariate time series data, in particular, Smooth Transition Regression (STR) models have been shown to be very useful for...