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On tests for sex preferences.

Journal of Population Economics

|October 1, 1988

Summary

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This study evaluates methods for detecting sex preferences in fertility data. Hazard estimation effectively identifies sex preferences, unlike traditional parity progression ratio and ordinary least squares (OLS) regression methods.

Area of Science:

Demography
Sociology
Biostatistics

Background:

Detecting parental sex preferences is crucial for understanding fertility patterns.
Existing methods like sex ratio, parity progression ratio, and OLS regression have limitations.

Purpose of the Study:

To critically evaluate common tests for sex preferences.
To propose and demonstrate a more robust method for detecting sex preferences.

Main Methods:

Comparative analysis of sex ratio, parity progression ratio, and ordinary least squares (OLS) regression.
Application of hazard estimation techniques.
Analysis of retrospective fertility histories of Chinese and Malay populations in Malaysia.

Main Results:

Keywords:

Asia Behavior Birth Intervals Comparative Studies Demographic Factors Developing Countries Estimation Technics Fertility Fertility Measurements Malaysia Methodological Studies Parity Parity Progression Ratio Population Population Characteristics Population Dynamics Psychological Factors Research Methodology Sex Distribution Sex Factors Sex Preference Sex Ratio Southeastern Asia Studies Value Orientation

Related Experiment Videos

The sex ratio test is valid for sex preferences under specific conditions.
Parity progression ratio and OLS regression are limited by right censoring and time-varying covariates.
Hazard estimation provides clear evidence of sex preferences among Chinese in Malaysia.

Conclusions:

Hazard estimation is a superior method for testing sex preferences compared to conventional approaches.
Conventional methods may underestimate or fail to detect sex preferences due to methodological limitations.