In the multinomial classification analysis, mixed frequency data issue is becoming more and more common. In order to solve the multi-classification problem in the mixed frequency data environment with a large frequency ratio, we combine the restricted mixed data sampling (MIDAS) method with the...

Economic risks for farmers have increased during recent years due to various factors such as more extreme climate conditions and the volatility of agricultural markets. We analysed the preferences of Finnish farmers and non-farming citizens concerning catastrophic risk management policies in...

This paper studies dynamic pricing and switching cost game under discrete mixed multinomial logit (MMNL) demand. Competing firms can dynamically change prices and redesign their products to in- crease or decrease switching costs in each period to influence the repeat consumers’ purchase...

This article introduces a multinomial logit model that uses ancillary information to control for uncertainty in both the observed choices made by respondents, and in the attributes of a respondent's choice set. Simulated data are used to compare the performance of this estimator versus simpler...

Since the seminal work by Berry-Levinsohn-Pakes (BLP), random coefficient logit (RCL) has become the workhorse model to estimate demand elasticities in markets with differentiated products using aggregated sales data. While the ability to represent flexible substitution patterns makes RCL a...