In contrast to cross-country studies, the paper investigates the relationships between trade and labour productivity for nine rapidly developing Asian countries in a time-series framework using a vector error-correction model. Independent tests on the long-run and short-run relationship between...

We use a mixed-frequency regression technique to develop a test for cointegration under the null of stationarity of the deviations from a long-run relationship. What is noteworthy about this MA unit root test, based on a variance-difference, is that, instead of having to deal with non-standard...

Recent interest has been stimulated by the growth of income inequality in most developed countries during the 1980s and 1990s. However, considerable uncertainty still exists as to which factors have been the most important causes of this development. This article uses a measure of income...

We provide a simple model to illustrate that tax and redistributive considerations as well as increasing globalization may lead workers unexposed to the threat of unemployment to prefer government spending on active labour market programmes to passive spending, e.g., on unemployment benefits. In...

In applied econometric literature, the causal inferences are often made based on highly temporally aggregated or systematically sampled data. A number of theoretical studies have pointed out that temporal aggregation has distorting effects on causal inference and systematic sampling preserves...

Does trade affect the equilibrium rate of unemployment? To theoretically examine this question, we incorporate firm-union bargaining considerations into a model with a booming external sector and a stagnating manufacturing sector. In the model, a sustained improvement in the terms of trade...

Temporally aggregated data is a bane for Granger causality tests. The same set of variables may lead to contradictory causality inferences at different levels of temporal aggregation. Obtaining temporally disaggregated data series is impractical in many situations. Since cointegration is...

Temporally aggregated data is a bane for Granger causality tests. The same set of variables may lead to contradictory causality inferences at different levels of temporal aggregation. Obtaining temporally disaggregated data series is impractical in many situations. Since cointegration is...