Pons, Martina (2021). The impact of air pollution on birthweight: evidence from grouped quantile regression. Empirical economics, 62(1), pp. 279-296. Springer 10.1007/s00181-021-02048-w
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Estimates of the average effect of pollution on birthweight might not provide a complete picture if more vulnerable infants are disproportionately more affected. To
address this, I focus on the distributional effect of particulate matter pollution (PM2.5)
on birthweight. To estimate the impact, this paper uses grouped quantile regression, a
methodology developed by Chetverikov et al. (Econometrica 84(2): 809–833, 2016),
which allows estimating the impact of a group-level treatment on an individual-level
outcome when there are group-level unobservables. The analysis reveals nonhomogeneous effects indicating that pollution disproportionately affects infants in the lower
tail of the conditional distribution, whereas average effects suggest only minimal and
not economically significant impact of pollution on birthweight. The findings are also
consistent across different specifications.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
03 Faculty of Business, Economics and Social Sciences > Department of Economics |
UniBE Contributor: |
Pons, Martina |
Subjects: |
300 Social sciences, sociology & anthropology > 330 Economics |
ISSN: |
0377-7332 |
Publisher: |
Springer |
Language: |
English |
Submitter: |
Dino Collalti |
Date Deposited: |
28 Jan 2022 13:49 |
Last Modified: |
05 Dec 2022 16:00 |
Publisher DOI: |
10.1007/s00181-021-02048-w |
BORIS DOI: |
10.48350/163581 |
URI: |
https://boris.unibe.ch/id/eprint/163581 |
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