Econometric Modelling of Canadian Long Distance Calling: A Comparison of Aggregate Time Series versus Point-to-Point Panel Data Approaches.
Aggregate time series and point-to-point panel data approaches to modeling Canadian long distance calling are compared. It is found that, while both models yield similar sets of aggregate elasticities, the point-to-point panel data models provide more detailed information on consumer behavior. Furthermore, the panel data models take advantage of the disaggregate data available and avoid the problems inherent in aggregate models when the rates of changes in the micro data are different. Coauthors are Christopher R. Dineen, D. Lynn Solvason, and Cheng Hsiao.
|Year of publication:||
|Authors:||Appelbe, Trent W, et al|
Empirical Economics. - Department of Economics and Finance Research and Teaching. - Vol. 17.1992, 1, p. 125-40
Department of Economics and Finance Research and Teaching
|Type of publication:||Article|
Persistent link: https://www.econbiz.de/10005382169
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