Access

You are not currently logged in.

Access your personal account or get JSTOR access through your library or other institution:

login

Log in to your personal account or through your institution.

If You Use a Screen Reader

This content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.

The Analysis of Mobility Processes by the Introduction of Independent Variables into a Markov Chain

Seymour Spilerman
American Sociological Review
Vol. 37, No. 3 (Jun., 1972), pp. 277-294
Stable URL: http://www.jstor.org/stable/2093468
Page Count: 18
  • Read Online (Free)
  • Download ($14.00)
  • Subscribe ($19.50)
  • Cite this Item
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
The Analysis of Mobility Processes by the Introduction of Independent Variables into a Markov Chain
Preview not available

Abstract

A major drawback to the traditional Markov formulation of social mobility is that it assumes homogeneity of transition behavior among persons in an origin state. This requirement has detracted from considering the ways in which the transition probabilities vary among individuals. This paper introduces a regression procedure which allows a heterogeneous population to be examined within a Markov framework. The advantages of this formulation are threefold: (a) it facilitates determining the sources of variation in the population transition probabilities; (b) it permits over-time change in the transition probabilities resulting from population shifts on particular attributes to be distinguished from structural change, in which the rules governing transitions have altered; (c) it enables construction of individual-level transition matrices, which are necessary for projecting to the k-step population matrix in the presence of heterogeneity. These techniques are applied to an analysis of geographic migration data.

Page Thumbnails

  • Thumbnail: Page 
277
    277
  • Thumbnail: Page 
278
    278
  • Thumbnail: Page 
279
    279
  • Thumbnail: Page 
280
    280
  • Thumbnail: Page 
281
    281
  • Thumbnail: Page 
282
    282
  • Thumbnail: Page 
283
    283
  • Thumbnail: Page 
284
    284
  • Thumbnail: Page 
285
    285
  • Thumbnail: Page 
286
    286
  • Thumbnail: Page 
287
    287
  • Thumbnail: Page 
288
    288
  • Thumbnail: Page 
289
    289
  • Thumbnail: Page 
290
    290
  • Thumbnail: Page 
291
    291
  • Thumbnail: Page 
292
    292
  • Thumbnail: Page 
293
    293
  • Thumbnail: Page 
294
    294