Detailed Information on Publication Record
2020
PRICE ELASTICITY OF DEMAND FOR ACCOMODATION SERVICES – EMPIRICAL APPLICATION IN PRAGUE
PETŘÍČEK, Martin and Štěpán CHALUPABasic information
Original name
PRICE ELASTICITY OF DEMAND FOR ACCOMODATION SERVICES – EMPIRICAL APPLICATION IN PRAGUE
Name (in English)
PRICE ELASTICITY OF DEMAND FOR ACCOMODATION SERVICES – EMPIRICAL APPLICATION IN PRAGUE
Authors
PETŘÍČEK, Martin and Štěpán CHALUPA
Edition
AD ALTA: JOURNAL OF INTERDISCIPLINARY RESEARCH, HRADEC KRALOVE, MAGNANIMITAS, 2020, 1804-7890
Other information
Type of outcome
Článek v odborném periodiku
Confidentiality degree
není předmětem státního či obchodního tajemství
Organization unit
University College Prague – University of International Relations and Institute of Hospitality Management and Economics, Ltd.
UT WoS
000562038200037
Keywords in English
Price Elasticity, Demand, Price Optimization, Consumer Behavior
Tags
International impact, Reviewed
Změněno: 15/12/2020 08:00, Ing. Štěpán Chalupa, Ph.D.
V originále
The paper focuses on the issue of measuring price elasticity of demand. Research has available a significant data sample on a daily basis in the segment of accommodation services since 2005 in the Czech Republic. The aim of the paper is to evaluate the development of consumer behaviour (measured by price elasticity) in the monitored segment from 2005 to the year 2017. For the calculation of price elasticity log-log regression analysis is used. The data is available daily, and therefore the resulting elasticity in the article is compared to several levels (working days, weekdays, summer months). One of the primary outputs in the research is that price elasticity is relatively stable in the monitored levels over time but has changed significantly over the long-term period.
In English
The paper focuses on the issue of measuring price elasticity of demand. Research has available a significant data sample on a daily basis in the segment of accommodation services since 2005 in the Czech Republic. The aim of the paper is to evaluate the development of consumer behaviour (measured by price elasticity) in the monitored segment from 2005 to the year 2017. For the calculation of price elasticity log-log regression analysis is used. The data is available daily, and therefore the resulting elasticity in the article is compared to several levels (working days, weekdays, summer months). One of the primary outputs in the research is that price elasticity is relatively stable in the monitored levels over time but has changed significantly over the long-term period.