Demand estimation for the Iranian automobile industry

The main contribution of this paper is a simple theoretical framework and empirical estimations explaining the behavior of the manufacturers. The paper focuses on the frequently used methods of demand estimation for discrete choice models to analyze the Iranian automobile market. It shows how both major companies in Iran choose to produce lower quality products and why they still collusively charge high markups. Empirical estimations are based on Berry, Levinsohn, and Pakes (1995) to predict marginal costs and markups. Estimation results also support the hypothesis that manufacturers are charging high markups. In addition, the counterfactual analysis carried out supports the view that both duopolist firms prefer to operate at lower quality rather than at higher quality production levels. They also collusively price their products. Furthermore, analyses are performed using the Multinomial Logit methodology to better understand the Iranian automobile market. Tastes of people with different genders and ages for some specific cars are explained, and the effects of population changes on auto demand are predicted.