This paper proposes a Bayesian regression model with time-varying coefficients (TVC) that makes it possible to estimate jointly the degree of instability and the time-path of regression coefficients. Thanks to its computational tractability, the model proves suitable to perform the first (to our...

We propose a structural model of two-sided matching and a semi-parametric procedure for its estimation that allow to analyze determinants of managers’ compensation such as firm’s and manager’s quality, production technology, bargaining power and inter-temporal preferences. We use the...

This paper deals with instability in regression coefficients. We propose a Bayesian regression model with time-varying coefficients (TVC) that allows to jointly estimate the degree of instability and the time-path of the coefficients. Thanks to the computational tractability of the model and to...

This paper proposes a Bayesian regression model with time-varying coefficients (TVC) that makes it possible to estimate jointly the degree of instability and the time-path of regression coefficients. Thanks to its computational tractability, the model proves suitable to perform the first (to our...

We propose a structural model of two-sided matching and a semi-parametric procedure for its estimation that allow to analyze determinants of managers' compensation such as firm's and manager's quality, production technology, bargaining power and inter-temporal preferences. We use the estimated...