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Methodology for Developing Life Tables for Sessile Insects in the Field Using the Whitefly, Bemisia tabaci, in Cotton As a Model System

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Economic development and fertility: A methodological re-evaluation.

D S Massey, L M Tedrow

Population Studies

|November 19, 2011

Summary

This summary is machine-generated.

This study challenges the prevailing model of economic development and fertility, finding little statistical support for the idea that development initially increases then decreases fertility. The research suggests existing variables are redundant and calls for identifying new factors to explain fertility variations.

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Published on: July 4, 2007

Area of Science:

Demography
Sociology
Economics

Background:

Previous research suggests a complex relationship between economic development and fertility rates.
Existing models propose that economic development initially increases fertility, then decreases it due to inhibiting factors.
These models have been widely interpreted to explain fertility transitions in various societies.

Purpose of the Study:

To critically re-examine the methodology and empirical evidence supporting the established economic development-fertility model.
To assess the statistical validity and explanatory power of current models.
To identify limitations in the existing framework and suggest improvements.

Main Methods:

Statistical re-analysis of existing data from a key study on economic development and fertility.
Application of multiple and partial correlation methods.
Examination of variable redundancy and statistical independence.

Main Results:

Little statistical or empirical support was found for the prevailing model.
Major independent variables in existing models were found to be largely redundant.
The established model was deemed untenable due to interrelations between redundant constructs.

Conclusions:

The current model explaining fertility changes based on economic development is statistically questionable.
Redundancy among key variables limits the explanatory power of existing models.
Further research should focus on isolating statistically independent variables to better explain fertility variance.