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Adjusting period tempo changes with an extension of Ryder's basic translation equation.

Publication ,  Journal Article
Zeng, Y; Land, KC
Published in: Demography
May 2002

We show that the observed changes in the period tempo of fertility are biased and derive a new formula for adjusting such bias. We present illustrative applications of our proposed method to the cases of the United States and Taiwan. We then describe the relevance of adjustments of observed period fertility tempo for evaluating family planning programs aiming at delaying and reducing births to slow down population growth in developing countries. The work reported in this article also can be regarded as an extension of Ryder's basic translation equation. The extension provides a set of formulas expressing relationships of quantum-tempo between cohorts and periods under specified assumptions.

Duke Scholars

Published In

Demography

DOI

ISSN

0070-3370

Publication Date

May 2002

Volume

39

Issue

2

Start / End Page

269 / 285

Location

United States

Related Subject Headings

  • United States
  • Taiwan
  • Population Growth
  • Models, Statistical
  • Humans
  • Fertility
  • Family Planning Services
  • Demography
  • Birth Rate
  • Bias
 

Citation

APA
Chicago
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MLA
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Zeng, Y., & Land, K. C. (2002). Adjusting period tempo changes with an extension of Ryder's basic translation equation. Demography, 39(2), 269–285. https://doi.org/10.1353/dem.2002.0022
Zeng, Yi, and Kenneth C. Land. “Adjusting period tempo changes with an extension of Ryder's basic translation equation.Demography 39, no. 2 (May 2002): 269–85. https://doi.org/10.1353/dem.2002.0022.
Zeng, Yi, and Kenneth C. Land. “Adjusting period tempo changes with an extension of Ryder's basic translation equation.Demography, vol. 39, no. 2, May 2002, pp. 269–85. Pubmed, doi:10.1353/dem.2002.0022.
Journal cover image

Published In

Demography

DOI

ISSN

0070-3370

Publication Date

May 2002

Volume

39

Issue

2

Start / End Page

269 / 285

Location

United States

Related Subject Headings

  • United States
  • Taiwan
  • Population Growth
  • Models, Statistical
  • Humans
  • Fertility
  • Family Planning Services
  • Demography
  • Birth Rate
  • Bias