NATIONAL BUREAU OF ECONOMIC RESEARCH
NATIONAL BUREAU OF ECONOMIC RESEARCH

Linear Probability Models of the Demand for Attributes with an Empirical Application to Estimating the Preferences of Legislators

James J. Heckman, James M. Snyder, Jr.

NBER Working Paper No. 5785
Issued in October 1996
NBER Program(s):   PE

This paper formulates and estimates a rigorously-justified linear probability model of binary choices over alternatives characterized by unobserved attributes. The model is applied to estimate preferences of congressmen as expressed in their votes on bills. The effective dimension of the attribute space characterizing votes is larger than what has been estimated in recent influential studies of congressional voting by Poole and Rosenthal. Congressmen vote on more than ideology. Issue-specific attributes are an important determinant of congressional" voting patterns. The estimated dimension is too large for the median voter model to describe congressional voting

download in pdf format
   (3155 K)

email paper

This paper is available as PDF (3155 K) or via email.

Machine-readable bibliographic record - MARC, RIS, BibTeX

Document Object Identifier (DOI): 10.3386/w5785

Users who downloaded this paper also downloaded these:
Stock and Watson w2772 A Probability Model of The Coincident Economic Indicators
Berry, Levinsohn, and Pakes w6481 Differentiated Products Demand Systems from a Combination of Micro and Macro Data: The New Car Market
McFadden Quantal Choice Analaysis: A Survey
Heckman The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models
Amemiya Qualitative Response Models
 
Publications
Activities
Meetings
Data
People
About

Support
National Bureau of Economic Research, 1050 Massachusetts Ave., Cambridge, MA 02138; 617-868-3900; email: info@nber.org

Contact Us