Real wages,quantity constraints and equilibrium unemployment: Belgium, 1955–1988

This paper examines the determinants of equilibrium wage and unemployment rates in Belgium within the framework of a quantity rationing, right-to-manage model with decentralised wage-setting. Empirical results are obtained by first using the Johansen maximum-likelihood procedure for the analysis of cointegration among the variables of interest. The information from this stage is then used to estimate a three equation econometric model explaining the wage share, the unemployment rate and the capital gap. The slowdown in world trade is depicted as the most important factor explaining the rise in unemployment in Belgium, with dampening effects due to wage control policies imposed in the eighties. Because we obtain only two cointegrating relations, for three endogenous variables, our results are compatible with the hypothesis of path dependency and multiple equilibria.     

Technological leadership and sectorial employment growth: A spatial econometric analysis for U.S. counties

This paper studies the determinants of technological catch‐up considering spatial and sectoral aggregation of industries. We investigate how geographical and technological proximity to the technology leader impact regional employment growth. We model technological progress by means of a hierarchical process of catch‐up to the technology leader. We also incorporate measures for knowledge spillover effects to test the roles of competition, specialisation, and diversity at the industry level. Empirical results using data at the county level for different economic sectors (2‐dig NAICS) for the United States indicate that human capital plays a crucial role in promoting sectoral employment growth. The association between technological/geographical distance to the technology leader and employment growth varies across sectors.     

Duality for pathwise superhedging in continuous time

Finance and Stochastics - We provide a model-free pricing–hedging duality in continuous time. For a frictionless market consisting of $d$  risky assets with continuous price...     

Structural Changes in the Labor Market and the Rise of Early Retirement in France and Germany

The rise of early retirement in Europe is typically attributed to the European system of taxes and transfers. A model with an imperfectly competitive labor market allows us to consider also the effects of bargaining power and of matching efficiency on pre‐retirement. We find that lower bargaining power of workers and declining matching efficiency have been important determinants of early retirement in France and Germany. These structural changes, combined with early retirement transfers and population aging, are also consistent with the employment and unemployment rates, labor share and seniority premia.     

International parity relationships between Germany and the USA revisited: evidence from the post-DM period

In this study, we show the interrelation of the purchasing power parity and the uncovered interest rate parity between the US and Germany for the recent period running from 1999:01 to 2014:04. This study extends the literature by testing both hypotheses simultaneously in a multivariate ECM. This has the advantage that interactions between capital and goods markets can be considered simultaneously. Our finding of two long-run relationships between the variables shows that a disequilibrium in one of the two markets leads to a disequilibrium in the other. While analysing the reaction to cumulative shocks, we show that US variables have a greater impact on German variables than vice versa. Therefore, the rising importance of the euro and the increased integration of the European Union in the recent decade have not changed this relation.     

Predicting bear and bull stock markets with dynamic binary time series models

Despite the voluminous empirical research on the potential predictability of stock returns, much less attention has been paid to the predictability of bear and bull stock markets. In this study, the aim is to predict U.S. bear and bull stock markets with dynamic binary time series models. Based on the analysis of the monthly U.S. data set, bear and bull markets are predictable in and out of sample. In particular, substantial additional predictive power can be obtained by allowing for a dynamic structure in the binary response model. Probability forecasts of the state of the stock market can also be utilized to obtain optimal asset allocation decisions between stocks and bonds. It turns out that the dynamic probit models yield much higher portfolio returns than the buy-and-hold trading strategy in a small-scale market timing experiment.