2018
			
	    
	
	
    Price elasticity of demand for accommodation sector
PETŘÍČEK, MartinZákladní 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.
				
		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.