This paper makes three principal contributions. First, we propose a new estimator for the unobservable variable models with endogenous causes. We show that under factor analysis type of assumptions, Robinson and Ferrara (1977)'’s procedure is not fully efficient, and a more efficient procedure...

This paper makes three principal contributions. First, we propose a new estimator for the unobservable variable models with endogenous causes. We show that under factor analysis type of assumptions, Robinson and Ferrara (1977)'s procedure is not fully efficient, and a more efficient procedure...

This paper makes two principal contributions: first, we propose a method for representing well-being aggregates and estimating population subgroup decompositions when data is available on population distributions across subgroups; second, we analyze the Quality of Life (QOL) of 'poor' and...

We develop a Bayesian estimation framework for non-stationary Markov models for situations where both sample data on observed transitions between states (micro data) and population data, where only the proportion of individuals in each state is observed (macro data), are available. Posterior...

We develop a Bayesian framework for estimating non-stationary Markov models in situations where macro population data is available only on the proportion of individuals residing in each state, but micro-level sample data is available on observed transitions between states. Posterior...

Ever since 1927, when Al Jolson spoke in the first “talkie” film The Jazz Singer, there had been little doubt that sound added a valuable perceptual dimension to visual media. However, despite the advances of over 80 years, and the complete integration of sound and vision that has occurred...