This paper introduces a new class of parameter estimators for dynamic models, called Simulated Nonparametric Estimators (SNE). The SNE minimizes appropriate distances between nonparametric joint (or conditional) densities estimated from sample data and nonparametric joint (or conditional)...

This paper introduces a new parameter estimator of dynamic models in which the state is a multidimensional, continuous-time, partially observed Markov process. The estimator minimizes appropriate distances between nonparametric joint (and/or conditional) densities of sample data and...

This paper models uctuations in regional disaggregates as a nonsta- tionary, dynamically evolving distribution. Doing so enables study of the dynamics of aggregate uctuations jointly with those of the rich cross-section of regional disaggregates. For the US, the leading state| regardless of...

This paper uses recently developed methods for estimating dynamic heterogeneous cointegrated panel data models - which allows for heterogeneity in parameters and dynamics across agents - to study housing wealth effects in a dynamic model of the 50 US states and the District of Columbia from the...

This study uses a longitudinal data source to study the effects of conflict-induced displacement on labour market outcomes for Bosnians in post-war Bosnia and Herzegovina. To account for endogeneity in the displacement status, I exploit the fact that the level of violence in the pre-war...

This paper focuses on the estimation and predictive performance of several estimators for the dynamic and autoregressive spatial lag panel data model with spatially correlated disturbances. In the spirit of Arellano and Bond (1991) and Mutl (2006), a dynamic spatial GMM estimator is proposed...

This paper investigates the efficiency wage hypothesis and derives a tractable expression for the profit loss incurred by deviations from the efficiency wage. The extent of the wage deviation can be inferred from production function parameters. The resulting profit loss shown to depend upon the...

This paper shows that, with (partial) irreversibility, higher uncertainty reduces the impact effect of demand shocks on investment. Uncertainty increases real option values making firms more cautious when investing or disinvesting. This is confirmed both numerically for a model with a rich mix...

Disadvantaged groups tend also to constitute population minorities. One consequence of this is that the policies implemented by electorally accountable governments often fail to reflect minority interests. A policy solution is to enhance the political power of minority groups as a vehicle for...

Nonparametric regression is developed for data with both a temporal and a cross-sectional dimension. The model includes additive, unknown, individual-specific components and allows also for cross-sectional and temporal dependence and conditional heteroscedasticity. A simple nonparametric...