Evidence map›Paper›PMID 34399313›Full record

ArticleJournal of health economics2021

The children of the missed pill.

Tomás Rau, Miguel Sarzosa, Sergio Urzúa

Open access · greenAbstract read
In one paragraph

Article in Journal of health economics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.0field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 3 countries.

Tomás RauInstituto de Economía, Pontificia Universidad Católica de Chile and IZA, Chile. Electronic address: trau@uc.cl.
Miguel SarzosaDepartment of Economics, Krannert School of Management, Purdue University, United States. Electronic address: msarzosa@purdue.edu.
Sergio UrzúaDepartment of Economics, University of Maryland and NBER, United States. Electronic address: urzua@econ.umd.edu.
Pontificia Universidad Católica de Chile · CLPurdue University West Lafayette · USWenzao Ursuline University of Languages · TW

Funding

Early Child Development Programs: Effective Interventions for Human DevelopmentR01HD065436 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI BEHRMAN, JERE R · 2010 to 2014
$2.4M
NICHD NIH HHS R01 HD065436
6 · The paper itself

Abstract

We assess the impact of exogenous variation in oral contraceptives prices-a year-long decline followed by a sharp increase due to a documented collusion case-on fertility decisions and newborns' outcomes. Our empirical strategy follows an interrupted time-series design, which is implemented using multiple sources of administrative information. As prices skyrocketed (45% within a few weeks), the Pill's consumption plunged, and weekly conceptions increased (3.2% after a few months). We show large effects on the number of children born to unmarried mothers, to mothers in their early twenties, and to primiparae women. The incidence of low birth weight and fetal/infant deaths increased (declined) as the cost of birth control pills rose (fell). In addition, we document a disproportional increase in the weekly miscarriage and stillbirth rates. As children reached school age, we find lower school enrollment rates and higher participation in special education programs. Our evidence suggests these "extra" conceptions were more likely to face adverse conditions during critical periods of development.

Indexed as

Abortion, SpontaneousContraceptionChildFemaleFertilityHumansInfant, NewbornPregnancyPrenatal CareFertilityHealthImpact of collusion

Identifiers

PMID34399313
PMCPMC8496187
OpenAlexW2762163800

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.