PETŘÍČEK, Martin. Price elasticity of demand for accommodation sector. In SECOND INTERNATIONAL SCIENTIFIC CONFERENCE ON IT, TOURISM, ECONOMICS, MANAGEMENT AND AGRICULTURE - ITEMA 2018. 2018.
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Základní údaje
Originální název Price elasticity of demand for accommodation sector
Název anglicky Price elasticity of demand for accommodation sector
Autoři PETŘÍČEK, Martin.
Vydání SECOND INTERNATIONAL SCIENTIFIC CONFERENCE ON IT, TOURISM, ECONOMICS, MANAGEMENT AND AGRICULTURE - ITEMA 2018, 2018.
Další údaje
Typ výsledku Konferenční abstrakt
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.
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnil: doc. Ing. Martin Petříček, Ph.D., učo 14750. Změněno: 31. 3. 2019 13:38.
Anotace
The paper focuses on measuring the price elasticity of selected customer segments of accommodation services in Prague. To measure elasticity, the simple log linear regression analysis method was chosen. Due to the required output, a simple regression analysis was performed. The inputs are considered as sales and the number of beds sold per night. Logarithmic data transformation was performed at all inputs. Outputs are available over the last five years. Measured elasticity can then serve as input for price optimization within revenue management. It is important that price elasticity during the selected years is moreover stable, and can be therefore used for future analysis and primarily for the optimization process.
Anotace anglicky
The paper focuses on measuring the price elasticity of selected customer segments of accommodation services in Prague. To measure elasticity, the simple log linear regression analysis method was chosen. Due to the required output, a simple regression analysis was performed. The inputs are considered as sales and the number of beds sold per night. Logarithmic data transformation was performed at all inputs. Outputs are available over the last five years. Measured elasticity can then serve as input for price optimization within revenue management. It is important that price elasticity during the selected years is moreover stable, and can be therefore used for future analysis and primarily for the optimization process.
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