Critique of probabilistic models: Application of the Semi?Markov model to migration
- 1 January 1972
- journal article
- research article
- Published by Taylor & Francis in The Journal of Mathematical Sociology
- Vol. 2 (1), 63-82
- https://doi.org/10.1080/0022250x.1972.9989803
Abstract
The role of probabilistic models, with special reference to application of the Semi‐Markov model to the analysis of internal migration, is discussed. Advantages of probabilistic models over more conventional methods based on regression analysis are detailed. Probabilistic models have stood apart from the rest of the literature, in migration as well as other areas of application, because they have no substantive content. It is argued that unless their parameters are related to the causal structure and exogenous determinants of the migration process, probabilistic models will be of little practical and scientific use. A strategy for integrating probabilistic models with theoretical and empirical analysis is sketched, to be carried out in the next article.Keywords
This publication has 17 references indexed in Scilit:
- On the concept of equal exchangeBehavioral Science, 2007
- A GRAVITY MODEL OF INTERDEPENDENT EQUATIONS TO ESTIMATE FLOW CREATION AND DIVERSION*Journal of Regional Science, 1969
- Markov Processes and Economic Analysis: The Case of MigrationEconometrica, 1969
- Interstate Population Migration and State Income Inequality: A Simultaneous Equation ApproachEconomic Development and Cultural Change, 1968
- A Markovian policy model of interregional migrationPapers in Regional Science, 1966
- Pooling Cross Section and Time Series Data in the Estimation of a Dynamic Model: The Demand for Natural GasEconometrica, 1966
- Behavioral aspects of the decision to migratePapers in Regional Science, 1965
- Distance and Human Interaction. A Migration StudyGeografiska Annaler. Series B, Human Geography, 1965
- THE RELATIONSHIP BETWEEN MIGRATION AND INCOME IN THE UNITED STATESPapers in Regional Science, 1960
- Statistical Inference about Markov ChainsThe Annals of Mathematical Statistics, 1957