Showing posts with label Fertility. Show all posts
Showing posts with label Fertility. Show all posts

Sunday, February 2, 2020

Estimating total fertility rates from population pyramids

Matt Hauer and Carl Schmertmann (both on Twitter) have just published a new paper that promises to be a game changer in population studies. They devised a method to estimate total fertility rates using inputs as minimal as the age/sex structure of a population. They tested the accuracy of the method using 2400+ fertility schedules and the result is incredibly accurate. Matt has written a thread on Twitter summarizing some of the key aspects of the paper.  The code to replicate the paper is here and an ungated preprint of the paper can be downloaded here.


Hauer, M., & Schmertmann, C. (2018). Population pyramids yield accurate estimates of total fertility rates. Demography. https://doi.org/10.1007/s13524-019-00842-x  []

Abstract:
The primary fertility index for a population, the total fertility rate (TFR), cannot be calculated for many areas and periods because it requires disaggregation of births by mother’s age. Here we discuss a flexible framework for estimating TFR using inputs as minimal as a population pyramid. We develop five variants, each with increasing complexity and data requirements. We test accuracy across a diverse set of data sources that comprise more than 2,400 fertility schedules with known TFR values, including the Human Fertility Database, Demographic and Health Surveys, U.S. counties, and nonhuman species. We show that even the simplest and least accurate variant has a median error of only 0.09 births per woman over 2,400 fertility schedules, suggesting accurate TFR estimation over a wide range of demographic conditions. We anticipate that this framework will extend fertility analysis to new subpopulations, periods, geographies, and even species. To demonstrate the framework’s utility in new applications, we produce subnational estimates of African fertility levels, reconstruct historical European TFRs for periods up to 150 years before the collection of detailed birth records, and estimate TFR for the United States conditional on race and household income.

Estimated TFR from Population Pyramids. We compare the performance of five variants against observed TFRs using data from the Human Fertility Data, Demographic and Health Surveys, the US Census Bureau, and various non-human species.

Sunday, January 10, 2016

Sex is another good reason to stop climate change, apparently

Hotter temperatures reduce sex drive and lower birth rates, according to a recent study published as a NBER Working Paper. There is a good summary of the paper here. I kind of liked the conclusion in the abstract.

Barreca, A., Deschenes, O., & Guldi, M. (2015). Maybe Next Month? Temperature Shocks, Climate Change, and Dynamic Adjustments in Birth Rates (No. w21681). NBER Working Paper.

Abstract:
Dynamic adjustments could be a useful strategy for mitigating the costs of acute environmental shocks when timing is not a strictly binding constraint. To investigate whether such adjustments could apply to fertility, we estimate the effects of temperature shocks on birth rates in the United States between 1931 and 2010. Our innovative approach allows for presumably random variation in the distribution of daily temperatures to affect birth rates up to 24 months into the future. We find that additional days above 80 °F cause a large decline in birth rates approximately 8 to 10 months later. The initial decline is followed by a partial rebound in births over the next few months implying that populations can mitigate the fertility cost of temperature shocks by shifting conception month. This dynamic adjustment helps explain the observed decline in birth rates during the spring and subsequent increase during the summer. The lack of a full rebound suggests that increased temperatures due to climate change may reduce population growth rates in the coming century. As an added cost, climate change will shift even more births to the summer months when third trimester exposure to dangerously high temperatures increases. Based on our analysis of historical changes in the temperature-fertility relationship, we conclude air conditioning could be used to substantially offset the fertility costs of climate change.

Wednesday, November 25, 2015

Where do women have Maternity leave and Who pays for it




Monday, May 13, 2013

Media Exposure and Reproductive Behavior





Three papers discussing the effects of media exposure on reproductive behavior.

Ferrara et al (2008). Soap Operas and Fertility: Evidence from Brazil. IDB Working Paper Nº 533 *

Chong and La Ferrara (2010). Television and divorce: Evidence from Brazilian novelasJ. European Economic Association.

Westoff and Koffman (2011). The Association of Television and Radio with Reproductive BehaviorPopulation and Development Review.




*A  funny  curious finding: "the likelihood that the twenty most popular names chosen by parents for their newborns would include one or more names of the main characters of novelas aired that year was about 33 percent if the area where parents lived received the Globo signal and only 8.5 percent if it did not."


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