This paper asks whether the results obtained from using the standard approach to testing the influential Grossman and Helpman "protection for sale" (PFS) model of political economy might arise from a simpler setting. A model of imports and quotas with protection occuring in response to import...

We propose a new methodology for structural estimation of dynamic discrete choice models. We combine the Dynamic Programming (DP) solution algorithm with the Bayesian Markov Chain Monte Carlo algorithm into a single algorithm that solves the DP problem and estimates the parameters...

This paper proposes a new test of the Protection for Sale (PFS) model by Grossman and Helpman (1994). Unlike existing methods in the literature, our approach does not require any data on political organizations. We formally show that the PFS model provides the following prediction: In the...

This paper critically and selectively surveys the literature on protection for sale and discusses directions for future research in this area. It suggests that the standard approach needs to be augmented to provide more compelling tests of this model.

This paper provides a step-by-step guide to estimating discrete choice dynamic programming (DDP) models using the Bayesian Dynamic Programming algorithm developed in Imai, Jain and Ching (2008) (IJC). The IJC method combines the DDP solution algorithm with the Bayesian Markov Chain Monte Carlo...