IDEAS home Printed from https://ideas.repec.org/p/crm/wpaper/26061.html

Sex, Lies and Birth Statistics: The Mysterious Case of the Spanish Missing Women

Author

Listed:
  • Manuel Bagues
  • Carmen Villa

Abstract

Official Spanish birth registry data report sex ratios well above expected levels between 1975 and 2000, peaking at 109 boys per 100 girls in the early 1980s, the highest in the world at that time. Prior research has attributed these elevated ratios to factors such as maternal age, birth order, and differential prenatal care. We show that they instead reflect systematic coding errors by the Spanish Statistical Office. Census data reveal normal sex ratios for the same cohorts. The birth registry also exhibits implausible monthly volatility and asymmetrically distributed outliers, consistent with one-directional miscoding of females as males. Additional corroborating evidence comes from provisional birth statistics, which show significantly lower sex ratios than the finalised records, and from anomalous patterns in adjacent fields on the birth registration form. Our findings underscore the responsibility of statistical agencies to validate administrative records and cross-check them against alternative sources.

Suggested Citation

  • Manuel Bagues & Carmen Villa, 2026. "Sex, Lies and Birth Statistics: The Mysterious Case of the Spanish Missing Women," RFBerlin Discussion Paper Series 26061, ROCKWOOL Foundation Berlin (RFBerlin).
  • Handle: RePEc:crm:wpaper:26061
    as

    Download full text from publisher

    File URL: https://www.rfberlin.com/wp-content/uploads/2026/02/26061.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:crm:wpaper:26061. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Moritz Lubczyk or Matthew Nibloe (email available below). General contact details of provider: https://edirc.repec.org/data/cmucluk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.