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Social and Behavioral Sciences Commons

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Economics

Cowles Foundation Discussion Papers

Series

2023

Demand Estimation

Articles 1 - 2 of 2

Full-Text Articles in Social and Behavioral Sciences

Demand Estimation With Infrequent Purchases And Small Market Sizes, Ali Hortaçsu, Olivia R. Natan, Hayden Parsley, Timothy Schwieg, Kevin R. Williams Jun 2023

Demand Estimation With Infrequent Purchases And Small Market Sizes, Ali Hortaçsu, Olivia R. Natan, Hayden Parsley, Timothy Schwieg, Kevin R. Williams

Cowles Foundation Discussion Papers

We propose a demand estimation method that allows for a large number of zero sale observations, rich unobserved heterogeneity, and endogenous prices. We do so by modeling small market sizes through Poisson arrivals. Each of these arriving consumers solves a standard discrete choice problem. We present a Bayesian IV estimation approach that addresses sampling error in product shares and scales well to rich data environments. The data requirements are traditional market-level data as well as a measure of market sizes or consumer arrivals. After presenting simulation studies, we demonstrate the method in an empirical application of air travel demand.


Incorporating Sales And Arrivals Information In Demand Estimation, Ali Hortaçsu, Olivia R. Natan, Hayden Parsley, Timothy Schwieg, Kevin R. Williams Mar 2023

Incorporating Sales And Arrivals Information In Demand Estimation, Ali Hortaçsu, Olivia R. Natan, Hayden Parsley, Timothy Schwieg, Kevin R. Williams

Cowles Foundation Discussion Papers

We propose a demand estimation method that allows for a large number of zero sale observations, rich unobserved heterogeneity, and endogenous prices. We do so by modeling small market sizes through Poisson arrivals. Each of these arriving con-sumers solves a standard discrete choice problem. We present a Bayesian IV estima-tion approach that addresses sampling error in product shares and scales well to rich data environments. The data requirements are traditional market-level data as well as a measure of market sizes or consumer arrivals. After presenting simulation studies, we demonstrate the method in an empirical application of air travel demand.