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Relationships Between the Demand for Local Telephone Calls and Household Characteristics

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Abstract

The demand for local telephone calls varies among households. This paper develops models, based on limited data from California and Cincinnati, which predict the demand for local calls from household characteristics. The models enable one to stratify a metropolitan area into regions of expected high, low, and medium telephone demand and thus provide a mechanism for efficiently estimating the demand in a metropolitan area from the demand of a sample of telephone customers in the area. Although the data and models are too limited to establish definite causal relationships, the models suggest that the demand for local calls might be related to the number of people in the household and the age and sex of the household head. Furthermore, while there is some ambiguity between the California and Cincinnati results, there is also the suggestion that local call demand might be related to income, the race of the household head, and the telephone density in the wire center.

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... Additional studies have been published since then, all designed to assess the effects of usage sensitive pricing on different population groups. Infosino (1980), using a sample of 1000 households spread over 18 WCs in Metropolitan Los Angeles and Cincinnati, and the results of a mail survey, relates individual household calling rates to such variables as race, sex of head of household, and size and income of household. He obtains R 2 around 0.35. ...
... Les résultats qui seront présentés ne seront donc représentatifs que des seules pratiques téléphoniques domestiques des citadins. Il est néanmoins comparable aux échantillons enquêtes à Chicago et à Cincinnati (Brandon, 1981 ;Infosino, 1980). L'échantillon enquêté, bien que représentatif de la population urbaine abonnée, est relativement petit. ...
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... Additional studies have been published since then, all designed to assess the effects of usage sensitive pricing on different population groups. Infosino (1980), using a sample of 1000 households spread over 18 WCs in Metropolitan Los Angeles and Cincinnati, and the results of a mail survey, relates individual household calling rates to such variables as race, sex of head of household, and size and income of household. He obtains R 2 around 0.35. ...
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... Variables developed here are based on the notions of social disadvantage considered above and previous studies of network access (in particular Infosino, 1980;Brandon, 1981;Perl, 1983;Bodnar et al., 1988;Taylor and Kridel, 1990). The list of variables developed for inclusion in the econometric model are listed below in Table 9. ...
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