On the Choice of Funtional Form for Hedonic Price Functions

1988 ◽  
Vol 70 (4) ◽  
pp. 668 ◽  
Author(s):  
Maureen L. Cropper ◽  
Leland B. Deck ◽  
Kenenth E. McConnell
Keyword(s):  
Hedonic Price ◽  
Price Functions

HEDONIC PRICE FUNCTIONS

1975 ◽  
Vol 13 (2) ◽  
pp. 157-178 ◽  
Author(s):  
ROBERT E.B. LUCAS
Keyword(s):  
Hedonic Price ◽  
Price Functions

On the Issue of Functional Form Choice in Hedonic Price Functions: Further Evidence

1997 ◽  
Vol 21 (5) ◽  
pp. 759-765 ◽  
Author(s):  
John M. Halstead ◽  
Rachel A. Bouvier ◽  
Bruce E. Hansen
Keyword(s):  
Functional Form ◽  
Hedonic Price ◽  
Price Functions

An Analysis of Restaurant Characteristics and Meal Prices in Melbourne, Australia

1996 ◽  
Vol 2 (1) ◽  
pp. 79-93 ◽  
Author(s):  
Pemasiri J. Gunawardana ◽  
Inka I. Havrila
Keyword(s):  
Investment Decisions ◽  
Marketing Strategies ◽  
Point Of View ◽  
Function Approach ◽  
Hedonic Price ◽  
Short Term ◽  
Hedonic Price Function ◽  
Price Functions ◽  
Restaurant Meals

This paper applies the hedonic price function approach to identify and estimate the variations in meal prices according to various characteristics of a sample of restaurants in Melbourne, Australia. The estimated hedonic price functions have important implications for restaurant marketing strategies and provide useful information to customers, and may serve to improve the efficiency in the market for restaurant dining. From the point of view of restaurant operators, the results indicate how short-term and long-term investment decisions may be made to impart particular characteristics. From the perspective of customers, the results provide information on price premia and discounts for restaurant meals according to each of the characteristics, including locations.

scholarly journals Wine price determinants. Is there a homogeneous international standard?

2021 ◽  
Vol 10 (1) ◽  
pp. 33-55
Author(s):  
Tânia Gonçalves ◽  
João Rebelo ◽  
Lina Lourenço-Gomes ◽  
José Caldas
Keyword(s):  
Regression Models ◽  
Hedonic Price ◽  
Grape Variety ◽  
Alcohol Content ◽  
Price Variation ◽  
Variation Data ◽  
Price Determinants ◽  
Main Determinants ◽  
Implicit Prices ◽  
Price Functions

This article presents an international comparison of the main determinants of wine prices in specialist online wine shops. Hedonic price functions were estimated for 9624 wines spread among four datasets from France, Italy, Germany and Australia. To explain price variation data was collected on wine classification, closure type, wine origin, medals or awards, vintage, alcohol content, color, and grape variety. Results from quantile regression models show that the wine vintage is a common price driver in all markets and quantiles. A quite similar effect was found for alcohol content. In terms of color, the implicit prices for red and white wines are also structurally different between countries, particularly in origin, blend, closure, awards and age. Thus, the markets should be assumed as heterogeneous, and the extrapolation of the results from one market to another may lead to erroneous management decisions. 

On a possible bias in estimates of hedonic price functions

1989 ◽  
Vol 25 (1) ◽  
pp. 138-142 ◽  
Author(s):  
Komei Sasaki
Keyword(s):  
Hedonic Price ◽  
Price Functions
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