|
Activity Number:
|
167
- Data Mining and Econometrics
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Tuesday, August 10, 2021 : 10:00 AM to 11:50 AM
|
|
Sponsor:
|
Business and Economic Statistics Section
|
|
Abstract #319034
|
|
|
Title:
|
Latent Class Modeling of Passenger Airfares in the US Airline Industry
|
|
Author(s):
|
Neela D Manage*
|
|
Companies:
|
Florida Atlantic University
|
|
Keywords:
|
Latent class models;
Passenger airfares;
Hedonic regression;
Panel data
|
|
Abstract:
|
This paper analyzes the determination of domestic passenger airfares for U.S. airlines. The sample contains quarterly panel data from 2011 to 2016 which spans a period of airline mergers as well as entry of new firms and exit of existing firms in the industry. A hedonic regression model of airfares is estimated using a latent class modeling framework in order to examine the effects of route distance, market structure and measures of airline quality.
|
Authors who are presenting talks have a * after their name.
