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Abstract: In this paper, we consider expectations of the form E[log(y)jx] = j=1 ff j log(x j ) as a good starting point for a more general analysis. We show why this naturally leads to the following flexible functional form, E[yjx] = f( j=1 h j (x j )), where f(\Delta) and the h j (\Delta)'s are estimated by cubic splines. The main objective of this paper is to provide a straightforward method to estimate E[yjx]. We demonstrate the usefulness of this approach by estimating gasoline demand from the 1994 ... (Update)
Context of citations to this paper: More
.... for example, the Residential Transportation and Energy Consumption Survey reports personal income as one of only 25 indicators (see Coppejans, 2000). The estimator proposed here is called the weighted B spline because it is a smooth weighted average of the data, where the...
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BibTeX entry: (Update)
Coppejans, M. (2000), "Flexible but Parsimonious Demand Designs: The Case of Gasoline," working paper. http://citeseer.ist.psu.edu/coppejans02flexible.html More
@misc{ coppejans00flexible,
author = "M. Coppejans",
title = "Flexible but Parsimonious Demand Designs: The Case of Gasoline",
text = "Coppejans, M. (2000), Flexible but Parsimonious Demand Designs: The Case
of Gasoline, working paper.",
year = "2000",
url = "citeseer.ist.psu.edu/coppejans02flexible.html" }
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