Division of labor models have become a standard analytical tool, along withcompetitive general equilibrium models (Ricardian, HOS, Ricardo-Viner), in public finance, trade, growth, development, and macroeconomics. Yet unlike the earlier models, specialization models lack a canonical...

This paper analyses Net Private Capital Flows to LICs incorporating the recent surge in FDI between 2000 and 2006. We show that including country-specific effects in a paneldata setup resolves the Lucas Paradox, at least for LICs. Our results suggest that openness is among the most important...

We find that investor sentiment should affect a firm's employment policy in a world with moral hazard and noise traders. Consistent with the model's predictions, we show that higher sentiment among US investors leads to: (1) higher employment growth worldwide; (2) lower labor productivity, as the...

The increasing availability of financial market data at intraday frequencies has not only led to the development of improved ex-post volatility measurements but has also inspired research into their potential value as an informa-tion source for longer horizon volatility forecasts. In this paper...

We introduce a dynamic network model with probabilistic link functions that depend on stochastically time-varying parameters. We adopt the widely used blockmodel framework and allow the high-dimensional vector of link probabilities to be a function of a low-dimensional set of dynamic factors....

Using long time series for sovereign bond markets of fifteen industrialized economies from 1875 to 2009, I find that financial market integration by the end of the 20th century was higher than in earlier periods and exhibited a J-shaped trend with a trough in the 1920s. The main reason for the...

Central banks resorted to asset purchase programs to replace conventional policy measures, which became ineffective after interest rates approached the zero lower bound. We investigate their effects on financial markets and focus on heterogeneous transmission using a Bayesian structural vector...

A new model for time-varying spatial dependencies is introduced. It forms an extension to the popular spatial lag model and can be estimated conveniently by maximum likelihood. The spatial dependence parameter is assumed to follow a generalized autoregressive score (GAS) process. The theoretical...

We study entrepreneurs’ behavioral responses of effort (moral hazard) to avoid business failure.This is done in the context of an unemployment insurance scheme for self-employed, wherewe estimate how much of the transition probability to unemployment can be causally attributedto being insured....

This paper empirically analyzes moral hazard in car insurance using a dynamic theory of an insuree's dynamic risk (ex ante moral hazard) and claim (ex post moral hazard) choices and Dutch longitudinal micro data. We use the theory to characterize the heterogeneous dynamic changes in incentives...