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      The Missing Baby Bust: The Consequences of the COVID-19 Pandemic for Contraceptive Use, Pregnancy, and Childbirth Among Low-Income Women

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          Abstract

          Multiple episodes in US history demonstrate that birth rates fall in response to recessions. However, the 2020 COVID-19 recession differed from earlier periods in that employment and access to contraception and abortion fell, as reproductive health centers across the country temporarily closed or reduced their capacity. This paper exploits novel survey and administrative data to examine how reductions in access to reproductive health care during 2020 affected contraceptive efficacy among low-income women. Accounting for 2020’s reductions in access to contraception and the economic slowdown, our results predict a modest decline in births of 1.1 percent in 2021 for low-income women. Further accounting for reductions in access to abortion implies that birth rates may even rise for low-income women. These results also suggest that already economically disadvantaged families disproportionately affected by the COVID-19 economy will experience a large increase in unplanned births.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s11113-022-09703-9.

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          An Introduction to the Bootstrap

          Statistics is a subject of many uses and surprisingly few effective practitioners. The traditional road to statistical knowledge is blocked, for most, by a formidable wall of mathematics. The approach in An Introduction to the Bootstrap avoids that wall. It arms scientists and engineers, as well as statisticians, with the computational techniques they need to analyze and understand complicated data sets.
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            Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies

            This paper proposes entropy balancing, a data preprocessing method to achieve covariate balance in observational studies with binary treatments. Entropy balancing relies on a maximum entropy reweighting scheme that calibrates unit weights so that the reweighted treatment and control group satisfy a potentially large set of prespecified balance conditions that incorporate information about known sample moments. Entropy balancing thereby exactly adjusts inequalities in representation with respect to the first, second, and possibly higher moments of the covariate distributions. These balance improvements can reduce model dependence for the subsequent estimation of treatment effects. The method assures that balance improves on all covariate moments included in the reweighting. It also obviates the need for continual balance checking and iterative searching over propensity score models that may stochastically balance the covariate moments. We demonstrate the use of entropy balancing with Monte Carlo simulations and empirical applications.
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              Contraceptive failure in the United States.

              This review provides an update of previous estimates of first-year probabilities of contraceptive failure for all methods of contraception available in the United States. Estimates are provided of probabilities of failure during typical use (which includes both incorrect and inconsistent use) and during perfect use (correct and consistent use). The difference between these two probabilities reveals the consequences of imperfect use; it depends both on how unforgiving of imperfect use a method is and on how hard it is to use that method perfectly. These revisions reflect new research on contraceptive failure both during perfect use and during typical use. Copyright © 2011 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                marthabailey@g.ucla.edu
                Journal
                Popul Res Policy Rev
                Popul Res Policy Rev
                Population Research and Policy Review
                Springer Netherlands (Dordrecht )
                0167-5923
                1573-7829
                2 March 2022
                : 1-21
                Affiliations
                [1 ]GRID grid.19006.3e, ISNI 0000 0000 9632 6718, Department of Economics, , University of California Los Angeles, ; 315 Portola Plaza, Bunche Hall 9349, Los Angeles, CA 90095 USA
                [2 ]GRID grid.214458.e, ISNI 0000000086837370, Department of Economics, , University of Michigan, ; Ann Arbor, USA
                [3 ]GRID grid.214458.e, ISNI 0000000086837370, Population Studies Center, , Institute for Social Research, University of Michigan, ; Ann Arbor, USA
                Author information
                http://orcid.org/0000-0002-7692-6040
                Article
                9703
                10.1007/s11113-022-09703-9
                8888131
                35250129
                51435648-ac8e-4a7d-a777-ca64d4f37251
                © The Author(s), under exclusive licence to Springer Nature B.V. 2022

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 26 May 2021
                : 2 February 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100009633, Eunice Kennedy Shriver National Institute of Child Health and Human Development;
                Award ID: R01HD100438
                Award ID: T32HD007339
                Award ID: P2C HD04128
                Award ID: P2CHD041022
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100009827, Laura and John Arnold Foundation;
                Categories
                Original Research

                Social policy & Welfare
                contraception,long-acting reversible contraceptives (larcs),fertility rates,pregnancy,covid-19,pandemic,recession

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