Evidence map›Paper›PMID 39328300›Full record

ArticleJournal of econometrics2024

You are What Your Parents Expect: Height and Local Reference Points.

Fan Wang, Esteban Puentes, Jere Behrman, Flávio Cunha

Abstract read
In one paragraph

Article in Journal of econometrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Fan WangDepartment of Economics, University of Houston, Houston, Texas, USA.
Esteban PuentesDepartment of Economics, Universidad de Chile, Santiago, Chile.
Jere BehrmanDepartments of Economics and Sociology and Population Studies Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Flávio CunhaDepartment of Economics, Rice University, Houston, Texas, USA.

Funding

Eliciting Maternal Knowledge about the Technology of Skill FormationR01HD073221 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI CUNHA, FLAVIO · 2013 to 2017
$3.8M
Foundational cognitive skills in developing countries: early-life nutritional, climatic and policy determinants and impacts on adolescent education, socio-emotional competencies and risky behaviorsR21HD097576 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI BEHRMAN, JERE R, FAVARA, MARTA · 2019 to 2020
$375k
NICHD NIH HHS R01 HD073221NICHD NIH HHS R21 HD097576
6 · The paper itself

Abstract

Recent estimates are that about 150 million children under five years of age are stunted, with substantial negative consequences for their schooling, cognitive skills, health, and economic productivity. Therefore, understanding what determines such growth retardation is significant for designing public policies that aim to address this issue. We build a model for nutritional choices and health with reference-dependent preferences. Parents care about the health of their children relative to some reference population. In our empirical model, we use height as the health outcome that parents target. Reference height is an equilibrium object determined by earlier cohorts' parents' nutritional choices in the same village. We explore the exogenous variation in reference height produced by a protein-supplementation experiment in Guatemala to estimate our model's parameters. We use our model to decompose the impact of the protein intervention on height into price and reference-point effects. We find that the changes in reference points account for 65% of the height difference between two-year-old children in experimental and control villages in the sixth annual cohort born after the initiation of the intervention.

Indexed as

AnthropometricsD8D9Early ChildhoodHeightI15NutritionO15Reference Points

Identifiers

PMID39328300
PMCPMC11424033

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Registered trials

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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.