Metadata record for Replication Data for: "Demand Volatility, Adjustment Costs, and Productivity: An Examination of Capacity Utilization for Hotels and Airlines"
125241
Inter-university Consortium for Political and Social Research
ICPSR metadata records are licensed under a Creative Commons Attribution-Noncommercial 3.0 United States License.
V1
Replication Data for: "Demand Volatility, Adjustment Costs, and Productivity: An Examination of Capacity Utilization for Hotels and Airlines"
125241
http://doi.org/10.3886/E125241V1
R. Andrew Butters
Please see full citation.
This work is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License.
Ann Arbor, MI: Inter-university Consortium for Political and Social Research
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
productivity
demand volatility
adjustment costs
capacity utilization
occupancy rates
load factors
hotels
airlines
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
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.
U.S.
Hotel segment-metro area-year and airline-destination-year
Flights and hotels in major U.S. cities over the period 2003--2011.
aggregate data
observational data
other
survey data
Smith Travel Research, LLC. Trend Reports.
Bureau of Transportation, T-100 Segment Data and Airline On Time Performance.