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作者

来源

来源 JOURNAL OF URBAN ECONOMICS,Vol.60,P.440-457

语言

英文

关键字

作者单位

University of Maryland, Baltimore County, MD"}]},{"#name":"affiliation","$":{"id":"aff002;Resources for the Future, 1616 P Street, NW, Washington, DC 20036"}]},{"#name":"affiliation","$":{"id":"aff003;US EPA—National Center for Environmental Economics, 1200 Pennsylvania Avenue, NW, MC 1809T, Washington, DC 20460"}]},{"#name":"correspondence","$":{"id":"cor001;University of Maryland, Baltimore County, MD"}]},"aff002":{"#name":"affiliation","$":{"id":"aff002;Resources for the Future, 1616 P Street, NW, Washington, DC 20036"}]},"aff003":{"#name":"affiliation","$":{"id":"aff003;US EPA—National Center for Environmental Economics, 1200 Pennsylvania Avenue, NW, MC 1809T, Washington, DC 20460"}]}},"correspondences":{"cor001":{"#name":"correspondence","$":{"id":"cor001

摘要

This paper explores the effect of low density zoning regulations and other factors on subdivision density. Using a unique dataset of new subdivisions built over a 34-year period in Calvert County, Maryland, we econometrically estimate a density function using both OLS and censored regression. The variability in density permitted by the county's zoning and TDR rules over the sample period allows us to assess the relative importance of market factors and regulatory constraints on density. We use the censored model to predict what density patterns would have been without zoning.