Movers and Stayers: An analysis Based on Two Longitudinal Data Files,

Abstract

The mover-stayer model of mobility stipulates that only a subset of an observed population at risk is actually engaged in the process being analyzed. Extension of this formulation to the continuous case has been limited by a paucity of suitable data. This paper reports an analysis of residential departure based on two longitudinal data files. The findings reveal a substantial degree of recurrence and chronicity in mobility behavior. Certain population segments show a pronounced tendency to change residence repeatedly and frequently, while others remain virtually immobile. Regression analysis reveals, moreover, that chronically mobile persons are best identified by indices of past mobility augmented by selected socioeconomic measures. These findings underscore the need to account for heterogeneity of risk in models of mobility. They strongly support the logic and authenticity of the mover-stayer model and the importance of making the distinction with as much precision and graduation as available data will permit. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1970
Accession Number
AD0731265

Entities

People

  • Peter A. Morrison

Organizations

  • RAND Corporation

Tags

DTIC Thesaurus Topics

  • Data Science
  • Heterogeneity
  • Information Science
  • Mobility
  • Precision
  • Regression Analysis
  • Reliability

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