Information-based estimators for the non-stationary transition probability matrix: an application to the Danish pork industry

摘要

A generalised cross entropy instrumental variables estimator is used to recover the nonstationary transition probability matrix for the Danish pork industry. A technique is also developed to recover missing data points due to category re-specifications. The impact of a set of exogenous variables (prices of pork meat. inputs, and pork substitutes), are evaluated in the form of elasticities. An overall assessment of entry exit and growth of farms is performed.