This paper reviews four treatment parameters that have become commonly used in the
program evaluation literature: the average treatment effect, the effect of treatment on the …

In this course we perform an introduction to Bayesian methods, we show some basic
definitions and properties of the bayesian approach. We have taken the content from the …

We present a new prior and corresponding algorithm for Bayesian analysis of the
multinomial probit model. Our new approach places a prior directly on the identified …

A Bayesian analysis of a nonidentified model is always possible if a proper prior on all the
parameters is specified. There is, however, no Bayesian free lunch. The “price” is that there …

A comprehensive source on mixed data analysis, Analysis of Mixed Data: Methods &
Applications summarizes the fundamental developments in the field. Case studies are used …

Social scientists have long documented that many components of socioeconomic status
such as income and education have strong ties across generations. However, health status …

Given a set of baseline assumptions, a breakdown frontier is the boundary between the set
of assumptions which lead to a specific conclusion and those which do not. In a potential …

This article is concerned with local identification of individual parameters of dynamic
stochastic general equilibrium (DSGE) models estimated by Bayesian methods …

The public-private sector wage gap in Scotland in 2000 is analysed using the extension
sample of the British Household Panel Study (BHPS). Employing a switching regression …

This paper is concerned with the problem of determining the effect of a categorical treatment
variable on a response given that the treatment is non-randomly assigned and the response …