European Mobile Phone Industry: Demand Estimation Using Discrete Random Coefficients Models

2021 ◽  
pp. 259-296
Author(s):  
Kyung B. Kim ◽  
José M. Labeaga
2020 ◽  
Author(s):  
Jean-Pierre H. Dube ◽  
Ali Hortaçsu ◽  
Joonhwi Joo

2020 ◽  
Author(s):  
Jean-Pierre H. Dube ◽  
Ali Hortaçsu ◽  
Joonhwi Joo

2021 ◽  
pp. 1-45
Author(s):  
Gunnar Heins

Abstract How unequal are the gains from trade? This paper develops a structural framework to quantify the consequences of international trade on welfare of consumers across the income distribution, allowing for non-homothetic demand and endogenous quality choices by firms. Using random coefficients demand estimation techniques, I infer demand and supply parameters, as well as household-specific price indexes for more than 3,000 distinct industries and find the gains from trade to be moderately unequal except in wealthier and small economies. Further, not accounting for endogenous vertical differentiation would overstate the impact of trade on cost-of-living inequality by close to 50%.


2020 ◽  
Author(s):  
Jean-Pierre Dubé ◽  
Ali Hortaçsu ◽  
Joonhwi Joo

2021 ◽  
Author(s):  
Jean-Pierre Dubé ◽  
Ali Hortaçsu ◽  
Joonhwi Joo

This paper provides a new estimator to address the zero-valued market shares in the BLP random-coefficient logit demand estimation.


Sign in / Sign up

Export Citation Format

Share Document