ESTIMATION OF DURATION MODELS USING THE ANNUAL HOUSING SURVEY Academic Article

abstract

• The structure of the Annual Housing Survey (AHS) data set has unique characteristics which complicate application of the standard methodologies of duration analysis. This paper derives a general likelihood function for estimating duration models using the AHS that incorporates these unique characteristics. A duration model is then estimated using separate samples of renters and owners from the AHS. With respect to household characteristics and mobility behavior, our results largely confirm previous findings by Henderson and Ioannides (Journal of Urban Economics, 26, 212-230 (1989)). In addition, we estimate completed lengths of stay that are 40 to 50% larger than the popular stereotype. 1992.

authors

• Gronberg, Timothy

published proceedings

• JOURNAL OF URBAN ECONOMICS

author list (cited authors)

• GRONBERG, T. J., & REED, W. R.

citation count

• 13

complete list of authors

• GRONBERG, TJ||REED, WR

publication date

• May 1992

publisher

• Elsevier  Publisher

published in

• Journal of Urban Economics  Journal

keywords

• 11 Sustainable Cities And Communities
• 38 Economics
• 3801 Applied Economics

Digital Object Identifier (DOI)

• 10.1016/0094-1190(92)90059-T

start page

• 311

end page

• 324

volume

• 31

issue

• 3

URL

• http://dx.doi.org/10.1016/0094-1190(92)90059-t

user-defined tag

• 11 Sustainable Cities and Communities