This paper provides a model of "social hysteresis," whereby long, deep recessions demotivate workers and thereby lead them to change their work ethic. In switching from a pro-work to an anti-work identity, their incentives to seek and retain work fall and consequently their employment chances...

In this paper we propose a novel way to model the labor market in the context of a New-Keynesian general equilibrium model, incorporating labor market frictions in the form of hiring and firing costs. We show that such a model is able to replicate many important stylized facts of the business...

In the setup of an overlapping-generations model with firm training, I analyze the consequences of a tax on capital income. A capital tax influences training investments via two opposing effects. On the one hand, it lowers the stock of physical capital and thereby the productivity of training....

How do changes in labor market institutions, like more generous unemployment benefits in one country, affect labor market outcomes in other countries? We set up a two-country Armingtonian trade model with frictions on the goods and labor markets. Contrary to the literature, higher labor market...

Asia is presently the most important market for the production and consumption of natural rubber. World prices of rubber are subject to not only to changes in demand, but also speculation regarding future markets. Japan and Singapore are the major future markets for rubber, while Thailand is one...

The aim of this paper is to investigate the effect of the Chinese B share market reform on the conditional correlation and information transmission between A and B Shares issued in the Shanghai and Shenzen stock exchanges. Daily returns for the Shanghai A share index (SHA), Shanghai B share...

There exist several important benchmark indexes in environmental finance, some computed by well-known financial index providers such as the Dow Jones group and others by independent agencies specializing in environmentally and socially responsible investing in finance. The construction of these...

The estimation of dynamic factor models for large sets of variables has attracted considerable attention recently, due to the increased availability of large datasets. In this paper we propose a new parametric methodology for estimating factors from large datasets based on state space models and...

The estimation of structural dynamic factor models (DFMs) for large sets of variables is attracting considerable attention. In this paper we briefly review the underlying theory and then compare the impulse response functions resulting from two alternative estimation methods for the DFM....

There is a growing literature on the realized volatility (RV) forecasting of asset returns using high-frequency data. We explore the possibility of forecasting RV with factor analysis; once considering the significant jumps. A real high-frequency financial data application suggests that the...