Continuous Outcomes Stochastically Mismeasured As Discrete Random Variables: A Maximum Likelihood Approach

J. S. Butler, Kathryn H. Anderson

Research output: Contribution to journalArticlepeer-review

Abstract

In an economic model of retirement behavior, a continuous dependent variable was required; the variable could only be estimated discretely with error, however. Parameter estimates using this dependent variable and ordinary least squares regression are inefficient. In this paper, we develop a maximum likelihood procedure which adjusts for this heteroscedasticity.

Original languageEnglish
Pages (from-to)2005-2012
Number of pages8
JournalCommunications in Statistics - Theory and Methods
Volume13
Issue number16
DOIs
StatePublished - Jan 1 1984

Keywords

  • dependent variables
  • heteroscedastic residuals
  • maximum likelihood discretely measured
  • retirement behavior

ASJC Scopus subject areas

  • Statistics and Probability

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