TY - JOUR AU - Haines,Michael R. AU - Hacker,J. David TI - The Puzzle of the Antebellum Fertility Decline in the United States: New Evidence and Reconsideration JF - National Bureau of Economic Research Working Paper Series VL - No. 12571 PY - 2006 Y2 - October 2006 UR - http://www.nber.org/papers/w12571 L1 - http://www.nber.org/papers/w12571.pdf N1 - Author contact info: Michael R. Haines Department of Economics, 217 Persson Hall Colgate University 13 Oak Drive Hamilton, NY 13346 Tel: 315/228-7536 Fax: 315/228-7033 E-Mail: MHAINES@MAIL.COLGATE.EDU David Hacker Department of History Binghamton University (SUNY) PO Box 6000 Binghamton, NY 13902 E-Mail: hacker@binghamton.edu M3 - presented at "Summer Institute", July 14-August 8, 2002 AB - All nations that can be characterized as developed have undergone the demographic transition from high to low levels of fertility and mortality. Most presently developed nations began their fertility transitions in the late nineteenth or early twentieth centuries. The United States was an exception. Evidence using census-based child-woman ratios suggests that the fertility of the white population of the United States was declining from at least the year 1800. By the end of the antebellum period in 1860, child-woman ratios had declined 33 percent. There is also indication that the free black population was experiencing a fertility transition. This transition was well in advance of significant urbanization, industrialization, and mortality decline and well in advance of every other presently developed nation with the exception of France. This paper uses census data on county-level child-woman ratios to test a variety of explanations on the antebellum American fertility transition. It also uses micro data from the IPUMS files for 1850 and 1860. A number of the explanations, including the land availability hypothesis, the local labor market-child default hypothesis, and the life cycle saving hypothesis, are consistent with the data, but nuptiality, not one of the usual explanations, emerges as likely very important. ER -