Figini, Paolo ; 
Cicognani, Simona ; 
Zirulia, Lorenzo
 
(2019)
Booking in the Rain: Testing the impact of public information on prices.
    Bologna:
    Dipartimento di Scienze economiche,
    p. 42.
     
     DOI 
10.6092/unibo/amsacta/6265.
    
    In: Quaderni - Working Paper DSE
    	 (1137).
    
    
     ISSN 2282-6483. 
  
  
 
  
  	
  	
	
  
  
  
  
  
  
  
    
  
    
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      Abstract
      The key role played by public information in market economies is paramount. Yet, investigation on how prices are affected is hindered by intricate endogeneity and parametrization issues. This paper contributes to the literature by identifying and studying a case where public information is related to weather forecasts, in a sector (tourism) where meteorological conditions exogenously impact on both suppliers’ and consumers’ decisions, especially in leisure destinations. We first develop a theoretical model where forecasts affect demand and hence equilibrium prices in accommodation: an improvement in the weather forecast has a positive impact on the price, the effect being stronger the higher the level of accuracy of the forecast and the level of ex ante uncertainty in weather conditions. We then estimate an augmented hedonic price model where dynamic characteristics (typical of advanced booking strategies) are included together with information about weather forecasts. Consistent with the theory, we find that, ceteris paribus, good weather forecasts are associated to higher prices, the impact being larger the higher their level of accuracy and the higher the ex ante level of uncertainty in weather conditions.
     
    
      Abstract
      The key role played by public information in market economies is paramount. Yet, investigation on how prices are affected is hindered by intricate endogeneity and parametrization issues. This paper contributes to the literature by identifying and studying a case where public information is related to weather forecasts, in a sector (tourism) where meteorological conditions exogenously impact on both suppliers’ and consumers’ decisions, especially in leisure destinations. We first develop a theoretical model where forecasts affect demand and hence equilibrium prices in accommodation: an improvement in the weather forecast has a positive impact on the price, the effect being stronger the higher the level of accuracy of the forecast and the level of ex ante uncertainty in weather conditions. We then estimate an augmented hedonic price model where dynamic characteristics (typical of advanced booking strategies) are included together with information about weather forecasts. Consistent with the theory, we find that, ceteris paribus, good weather forecasts are associated to higher prices, the impact being larger the higher their level of accuracy and the higher the ex ante level of uncertainty in weather conditions.
     
  
  
    
    
      Tipologia del documento
      Monografia
(Working paper)
      
      
      
      
        
          Autori
          
          
        
      
        
      
        
      
        
          Parole chiave
          Information uncertainty; Bayesian model; Big Data; Pricing strategy; Exogenous quality; Hotels;
Weather forecast; Hedonic price.
          
        
      
        
          Settori scientifico-disciplinari
          
          
        
      
        
          ISSN
          2282-6483
          
        
      
        
      
        
          DOI
          
          
        
      
        
      
        
      
        
      
        
          Data di deposito
          13 Nov 2019 10:15
          
        
      
        
          Ultima modifica
          13 Nov 2019 10:20
          
        
      
        
      
      
      URI
      
      
     
   
  
    Altri metadati
    
      Tipologia del documento
      Monografia
(Working paper)
      
      
      
      
        
          Autori
          
          
        
      
        
      
        
      
        
          Parole chiave
          Information uncertainty; Bayesian model; Big Data; Pricing strategy; Exogenous quality; Hotels;
Weather forecast; Hedonic price.
          
        
      
        
          Settori scientifico-disciplinari
          
          
        
      
        
          ISSN
          2282-6483
          
        
      
        
      
        
          DOI
          
          
        
      
        
      
        
      
        
      
        
          Data di deposito
          13 Nov 2019 10:15
          
        
      
        
          Ultima modifica
          13 Nov 2019 10:20
          
        
      
        
      
      
      URI
      
      
     
   
  
  
  
  
  
  
  
  
  
  
  
  
    
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