Evidence map›Paper›PMID 32153316›Full record

ArticleJournal of applied econometrics (Chichester, England)

Measurement Error in Discrete Health Facility Choice Models: an Example from Urban Senegal.

Christopher J Cronin, David K Guilkey, Ilene S Speizer

Abstract read
In one paragraph

Article in Journal of applied econometrics (Chichester, England). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
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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.

Christopher J CroninDepartment of Economics, University of Notre Dame.
David K GuilkeyDepartment of Economics and Carolina Population Center, University of North Carolina at Chapel Hill.
Ilene S SpeizerGillings School of Global Public Health, Department of Maternal and Child Health and Carolina Population Center, University of North Carolina at Chapel Hill.

Funding

Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
NICHD NIH HHS P2C HD050924
6 · The paper itself

Abstract

We use individual-level health facility choice data from urban Senegal to estimate consumer preferences for facility characteristics related to maternal health services. We find that consumers consider a large number of quality related facility characteristics, as well as travel costs, when making their health facility choice. In contrast to the typical assumption in the literature, our findings indicate that individuals frequently bypass the facility nearest their home. In light of this, we show that the mismeasured data used commonly in the literature produces biased preference estimates; most notably, the literature likely overestimates consumer distaste for travel.

Indexed as

C35Discrete ChoiceI12I15I18J13Maternal HealthMeasurement ErrorMixed LogitSelection on ObservablesSenegal

Identifiers

PMID32153316
PMCPMC7062358

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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.