J 2020

PRICE ELASTICITY OF DEMAND FOR ACCOMODATION SERVICES – EMPIRICAL APPLICATION IN PRAGUE

PETŘÍČEK, Martin a Štěpán CHALUPA

Základní údaje

Originální název

PRICE ELASTICITY OF DEMAND FOR ACCOMODATION SERVICES – EMPIRICAL APPLICATION IN PRAGUE

Název anglicky

PRICE ELASTICITY OF DEMAND FOR ACCOMODATION SERVICES – EMPIRICAL APPLICATION IN PRAGUE

Autoři

PETŘÍČEK, Martin a Štěpán CHALUPA

Vydání

AD ALTA: JOURNAL OF INTERDISCIPLINARY RESEARCH, HRADEC KRALOVE, MAGNANIMITAS, 2020, 1804-7890

Další údaje

Typ výsledku

Článek v odborném periodiku

Utajení

není předmětem státního či obchodního tajemství

Organizační jednotka

University College Prague – Vysoká škola mezinárodních vztahů a Vysoká škola hotelová a ekonomická s.r.o.

DOI

http://dx.doi.org/10.33543/1001

UT WoS

000562038200037

Klíčová slova anglicky

Price Elasticity, Demand, Price Optimization, Consumer Behavior

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 15. 12. 2020 08:00, Ing. Štěpán Chalupa, Ph.D.

Anotace

ORIG EN

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.

Anglicky

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.
Zobrazeno: 8. 11. 2024 08:28