STATISTICAL TECHNIQUES FOR ESTIMATING RELATIONSHIPS IN WHICH THE DEPENDENT VARIABLE IS DICHOTOMOUS

K.W. Lee and Lowell D. Hill

No 284545, 1974 Annual Meeting, August 18-21, College Station, Texas from American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association)

Abstract: Researchers in the social sciences often encounter the methodological problems that arise when the dependent variable in the relationship is dichotomous. Several statistical techniques for estimating such relationships are available including the conditional probability model, probit model, logit model, and discriminant analysis. This paper will compare these methods and suggest criteria for selecting among the alternatives. A comparison of the estimated function obtained by each technique will be made using a set of empirical data relating to purchase of a grain dryer.

Keywords: Research; Methods/Statistical; Methods (search for similar items in EconPapers)
Pages: 15
Date: 1974-08
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/284545/files/19-00105AAEA_0231.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea74:284545

DOI: 10.22004/ag.econ.284545

Access Statistics for this paper

More papers in 1974 Annual Meeting, August 18-21, College Station, Texas from American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().