Go to main content
Formats
Format
BibTeX
MARCXML
TextMARC
MARC
DublinCore
EndNote
NLM
RefWorks
RIS

Files

Abstract

The purpose of this paper is to call attention to the important role that the statistical model and the data source play in the determination of a numerical estimate of price response. Price "elasticities" are estimated from both time-series and cross-sectional viewpoints using the same data base and essentially the same method of estimation, ordinary least squares regression (OLS). In each case the data are organized in a slightly different manner. The results obtained are reasonable from a statistical point of view, and yet each set suggests vastly different policy implications.

Details

PDF

Statistics

from
to
Export
Download Full History