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Name File Type Size Last Modified
  data 10/26/2020 03:33:PM
  figures 10/26/2020 03:32:PM
  model 10/26/2020 03:33:PM
  sections 10/26/2020 03:33:PM
AEA.cls text/x-matlab 43.7 KB 10/26/2020 11:32:AM
ReadMe.txt text/plain 10.7 KB 10/26/2020 05:27:PM
aea.bst text/plain 22.6 KB 10/26/2020 11:32:AM
buildrab14.m text/x-matlab 1.3 KB 10/26/2020 11:32:AM
rab14.bib application/x-bibtex-text-file 160.5 KB 10/26/2020 11:32:AM
rab14aejmi.tex application/x-tex 3.4 KB 10/26/2020 11:32:AM

Project Citation: 

Butters, R. Andrew. Replication Data for: “Demand Volatility, Adjustment Costs, and Productivity: An Examination of Capacity Utilization for Hotels and Airlines.” Nashville, TN: American Economic Association [publisher], 2020. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2020-10-27. https://doi.org/10.3886/E125241V1

Project Description

Summary:  View help for Summary Measures of productivity reveal large differences across producers even within narrowly defined industries. Traditional measures of productivity, however, will associate differences in demand volatility to differences in productivity when adjusting factors of production is costly. I document this effect by comparing the influence of demand volatility on capacity utilization in a high (hotels) and low (airlines) adjustment cost industry. Differences in annual demand volatility explain a large share of the variation in occupancy rates of hotels at the metro area-segment-year level. In contrast, differences in annual demand volatility have no effect on load factors of airlines at the destination-airline-year level.

Scope of Project

Subject Terms:  View help for Subject Terms productivity; demand volatility; adjustment costs; capacity utilization; occupancy rates; load factors; hotels; airlines
JEL Classification:  View help for JEL Classification
      D24 Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
      E30 Prices, Business Fluctuations, and Cycles: General (includes Measurement and Data)
      L83 Sports; Gambling; Restaurants; Recreation; Tourism
Geographic Coverage:  View help for Geographic Coverage U.S.
Time Period(s):  View help for Time Period(s) 2003 – 2011
Collection Date(s):  View help for Collection Date(s) 1/2013 – 6/2019
Universe:  View help for Universe Flights and hotels in major U.S. cities over the period 2003--2011.

Data Type(s):  View help for Data Type(s) aggregate data; observational data; other; survey data

Methodology

Data Source:  View help for Data Source Smith Travel Research, LLC. Trend Reports. 
Bureau of Transportation, T-100 Segment Data and Airline On Time Performance.

Unit(s) of Observation:  View help for Unit(s) of Observation Hotel segment-metro area-year and airline-destination-year

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