Marriage has declined since 1960, with the drop being bigger for non-college educated individuals versus college educated ones. Divorce has increased, more so for the non-college educated vis-à-vis the college educated. Additionally, assortative mating has risen; i.e., people are more likely to...

Marriage has declined since 1960, with the drop being bigger for non-college educated individuals versus college educated ones. Divorce has increased, more so for the non-college educated. Additionally, positive assortative mating has risen. Income inequality among households has also widened. A...

Recent studies illustrate that under some conditions dynamic stochastic general equilibrium models can be expressed as structural vector autoregressive models of infinite order. Based on this mapping and the theoretical results about vector autoregressive models of infinite order this paper...

This chapter provides an overview of solution and estimation techniques for dynamic stochastic general equilibrium models. We cover the foundations of numerical approximation techniques as well as statistical inference and survey the latest developments in the field.

This paper aims to contribute to our understanding of inflation dynamics in the United Kingdom by estimating two dynamic stochastic general equilibrium models and assessing the role of nominal and real rigidities within them. We first obtain an empirical representation of the monetary...

Relying on a consistent cross-national comparative data set – ECHP, we explore the extent to which changes in cross-sectional earnings inequality in 14 EU countries over the period 1994 and 2001 reflect an increase in lifetime earnings inequality or in earnings instability. Equally weighted...

Indirect inference estimators (i.e., simulation-based minimum distance estimators) in a parametric model that are based on auxiliary non-parametric maximum likelihood density estimators are shown to be asymptotically normal. If the parametric model is correctly specified, it is furthermore shown...

Given a random sample from a parametric model, we show how indirect inference estimators based on appropriate nonparametric density estimators (i.e., simulation-based minimum distance estimators) can be constructed that, under mild assumptions, are asymptotically normal with variance-covarince...

This paper contains supplemental material to Hnatkovska, Marmer, and Tang (2009) "Comparison of Misspecified Calibrated Models: The Minimum Distance Approach".