This paper considers Bayesian nonparametric estimation of conditional densities by countable mixtures of location-scale densities with covariate dependent mixing probabilities. The mixing probabilities are modeled in two ways. First, we consider finite covariate dependent mixture models, in...

In this paper we consider Bayesian estimation of restricted conditional moment models with the linear regression as a particular example. A common practice in the Bayesian literature for linear regression and other semi-parametric models is to use flexible families of distributions for the...

In this paper, we study a Bayesian approach to flexible modeling of conditional distributions. The approach uses a flexible model for the joint distribution of the dependent and independent variables and then extracts the conditional distributions of interest from the estimated joint...

We explore the benefits of forecast combinations based on forecast-encompassing tests compared to simple averages and to Bates-Granger combinations. We also consider a new combination method that fuses test-based and Bates-Granger weighting. For a realistic simulation design, we generate...

Using a comprehensive panel data set on U.S. households, we study the effects of the 2005 Bankruptcy Abuse Prevention and Consumer Protection Act (BAPCPA), the most substantive reform of personal bankruptcy in the United States since the Bankruptcy Reform Act of 1978. The 2005 legislation...

The paper provides a theoretical rationale for flexicurity policies, which consist of low employment protection, generous unemployment insurance and active labor market programmes. It analyzes in which conditions flexicurity can be optimal. Low employment protection encourages costly education...

We analyze the optimal design of dynamic mechanisms in the absence of transfers. The designer uses future allocation decisions to elicit private information. Values evolve according to a two-state Markov chain. We solve for the optimal allocation rule, which permits a simple implementation....

We study the gains from trade in a model with endogenously variable markups. We show that the pro-competitive gains from trade are large if the economy is characterized by (i) extensive misallocation, i.e., large inefficiencies associated with markups, and (ii) a weak pattern of cross-country...

The extended Hodrick-Prescott (HP) method was developed by Polasek (2011) for a class of data smoother based on second order smoothness. This paper develops a new extended HP smoothing model that can be applied for spatial smoothing problems. In Bayesian smoothing we need a linear regression...