a 2018

Price elasticity of demand for accommodation sector

PETŘÍČEK, Martin

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
Změněno: 31. 3. 2019 13:38, doc. Ing. Martin Petříček, Ph.D.

Anotace

ORIG EN

V originále

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.

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.