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A new technique for measuring household changes.

M L Turner1

  • 1United States Bureau of the Census, USA.

Demography
|February 1, 2011
PubMed
Summary
This summary is machine-generated.

Tracking household demographic shifts is crucial for policy analysis. This study used computer record-matching to estimate annual changes in household composition and size, providing vital data for policy planners.

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Area of Science:

  • Sociology
  • Demography
  • Public Policy

Background:

  • Recent policy initiatives aim to alter socioeconomic characteristics of families and households.
  • Accurate assessment requires distinguishing policy-driven changes from natural demographic shifts over time.

Purpose of the Study:

  • To develop a method for isolating policy-induced changes from demographic changes in households.
  • To provide national estimates of gross demographic changes in households using longitudinal data.

Main Methods:

  • Utilized family records from three Current Population Survey (CPS) panels interviewed in March 1964 and March 1965.
  • Employed a computer record-matching operation to create longitudinal household data.
  • Analyzed matched and nonmatched records to identify household mobility and demographic changes.

Main Results:

  • Confirmed approximately 20% of households are mobile annually, with nonmatched records indicating their absence in the subsequent year.
  • Found that 5% of nonmobile households transitioned between family and individual household structures.
  • Observed that 15% of remaining households experienced changes in family size, yielding first national estimates of gross demographic shifts.

Conclusions:

  • The computer record-matching technique is a cost-effective method for generating longitudinal data on household and individual demographic changes.
  • This approach provides essential analytical tools for policy planners to assess policy impacts and predict outcomes.
  • The findings offer critical insights into the dynamic nature of household structures and their susceptibility to policy interventions.