Techniques for analysis of migration-history data from the ESCAP national migration surveys

Julie DaVanzo

Expert InsightsPublished 1982

A discussion of alternative techniques for analyzing migration and its determinants and consequences using migration-history and life-history data from the ESCAP (Economic and Social Commission for Asia and the Pacific) National Migration Surveys. Methods of processing and analyzing life-history data are discussed for (1) descriptions of migration patterns and how they have changed over time, (2) analyses of determinants of migration, (3) analyses of choice among alternative types of moves, and (4) studies of individual-level consequences of migration. The paper focuses on methodological issues. It discusses general types of data desired or required, how these should be "retrieved," and what analytic techniques are most appropriate. Techniques considered range from simple cross-tabulations and ordinary least squares regression to sophisticated regression-switching models and hazard models. The paper concludes with an examination of the data processing implications of the recommendations.

Topics

Document Details

  • Copyright: RAND Corporation
  • Availability: Web Only
  • Year: 1982
  • Pages: 38
  • Document Number: P-6760

Citation

Chicago Manual of Style

DaVanzo, Julie, Techniques for analysis of migration-history data from the ESCAP national migration surveys. Santa Monica, CA: RAND Corporation, 1982. https://www.rand.org/pubs/papers/P6760.html.
BibTeX RIS

This publication is part of the RAND paper series. The paper series was a product of RAND from 1948 to 2003 that captured speeches, memorials, and derivative research, usually prepared on authors' own time and meant to be the scholarly or scientific contribution of individual authors to their professional fields. Papers were less formal than reports and did not require rigorous peer review.

This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.

RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.