In this paper we consider a risk averse worker who is moving back and forth between employment and unemployment; layoffs are random and beyond the worker s influence, while the re-employment chance is directly affected by search effort. We characterize the worker s optimal savings and job-search...

This paper explores the role of marriage when markets are incomplete so that individuals cannot diversify their idiosyncratic labor income risk. Ceteris paribus, an individual would prefer to marry a hedge (i.e. a spouse whose income is negatively correlated with her own) as it raises her...

The new information and communication technology, ICT, induces households to take over tasks from firms and government agencies, using tools and systems provided by these very same organizations. The result is often joint production activities. We argue that the importance of ICT for the...

Why do some U.S. states have higher levels of marital formation than others? This paper introduces an economic model wherin a state s representative individual may choose to marry in order to diversify his or her idiosyncratic income risk. The paper demonstrates that such a diversification...

This paper studies within-family decision making regarding investment in income protection for surviving spouses. A change in US pension law (the Retirement Equity Act of 1984) is used as an instrument to derive predictions both from a simple Nash-bargaining model of the household and from the...

The volatility of unanticipated output growth in income per capita is detrimental to long-run development, controlling for initial income per capita, population growth, human capital, investment, openness and natural resource dependence. This effect is significant and robust over a wide range of...

One important goal of this study is to develop a methodology of inference for a widely used Cliff-Ord type spatial model containing spatial lags in the dependent variable, exogenous variables, and the disturbance terms, while allowing for unknown heteroskedasticity in the innovations. We first...

In this paper we specify a linear Cliff and Ord-type spatial model. The model allows for spatial lags in the dependent variable, the exogenous variables, and disturbances. The innovations in the disturbance process are assumed to be heteroskedastic with an unknown form. We formulate a multi-step...

We use Bayesian Model Averaging (BMA) to evaluate the robustness of determinants of economic growth in a new dataset of 255 European regions in the 1995-2005 period. We use three different specifications based on (1) the cross-section of regions, (2) the cross-section of regions with country...

This paper develops an estimator for higher-order spatial autoregressive panel data error component models with spatial autoregressive disturbances, SARAR(R,S). We derive the moment conditions and optimal weighting matrix without distributional assumptions for a generalized moments (GM)...