Comparing Mobile Phone Price Estimators in the IranMarket: Hedonic Regression and Artificial Neural Network

Mohsen Nazari, Seyed Vahid Tabatabaie Kalejahi


The purpose of this paper is to develop two price estimator functions and compare the performance and accurateness of them.After gathering mobile phone features from their manufacturers’ websites and their prices from “Donyaye-Eqtesad” newspaper, Hedonic regression and Artificial Neural Network models developed.The most effective feature of mobile phones in their prices are theirs brand, being touch screen, camera quality in mega pixel, battery life in calling and wireless network connectivity, and Also ANN model is better estimator than hedonic regression function.Because all of the mobile phones in the Iran market are imported from other countries, importers can import mobile phones that have those features that have more value to customers and reach a higher market share.The major contribution of this paper is specifying the most important determinants of mobile phone prices in the Iran market and comparing the two price estimator functions. This paper is of value to mobile phone importers, mobile phone manufactures, advertisers and pricing researchers.

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Copyright (c) 2011 Mohsen Nazari, Seyed Vahid Tabatabaie Kalejahi

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Business Management and Strategy  ISSN 2157-6068

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