Replication data for: Does Forest Loss Increase Human Disease? Evidence from Nigeria

Principal Investigator(s):  View help for Principal Investigator(s) Julia Berazneva; Tanya S. Byker

Version:  View help for Version V1

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  Data_programs_readme 10/20/2021 01:58:PM
LICENSE.txt text/plain 14.6 KB 10/12/2019 08:04:AM

Project Citation: 

Berazneva, Julia, and Byker, Tanya S. Replication data for: Does Forest Loss Increase Human Disease? Evidence from Nigeria. Nashville, TN: American Economic Association [publisher], 2017. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E113539V1

Project Description

Summary:  View help for Summary We examine the impact of forest loss on three infectious diseases attributed to modifiable environmental factors in the last decade in Nigeria. Geolinking a new high-resolution dataset of global forest change to child-level health data from the Nigeria Demographic and Health Surveys from 2008 and 2013, we find that forest loss significantly increases the incidence of malaria, though it does not affect the incidence of diarrhea and respiratory diseases. The impact of forest loss on malaria is large and the dynamic pattern of the impact suggests a temporary ecological disturbance consistent with findings in the tropical medicine literature.

Scope of Project

Subject Terms:  View help for Subject Terms global forest change data; Publicly available data; remote sensing; Demographic and Health Surveys
JEL Classification:  View help for JEL Classification
      I12 Health Behavior
      I15 Health and Economic Development
      J13 Fertility; Family Planning; Child Care; Children; Youth
      O13 Economic Development: Agriculture; Natural Resources; Energy; Environment; Other Primary Products
      O15 Economic Development: Human Resources; Human Development; Income Distribution; Migration
      Q23 Renewable Resources and Conservation: Forestry
Geographic Coverage:  View help for Geographic Coverage Nigeria
Time Period(s):  View help for Time Period(s) 2008 – 2013 (2000s-2010s)
Universe:  View help for Universe Children born to women between 15 and 49 years of age and interviewed in 2008 and 2013 as part of a nationally representative Demographic Heath and Health Survey
Data Type(s):  View help for Data Type(s) survey data; geographic information system (GIS) data

Methodology

Data Source:  View help for Data Source NPC and ICF. 2009. Nigeria Demographic and Health Survey 2008 [Dataset]. National Population Commission [Nigeria] and ICF Macro. http://dhsprogram.com/publications/publication-fr222-dhs-final-reports.cfm. NPC and ICF. 2014. Nigeria Demographic and Health Survey 2013 [Dataset]. National Population Commission [Nigeria] and ICF International. http://dhsprogram.com/publications/publication-fr293-dhs-final-reports.cfm. Hansen, M. C., P. V. Potapov, R. Moore, M. Hancher, S. A. Turubanova, A. Tyukavina, D. Thau, et al. 2013. "High-Resolution Global Maps of 21st-Century Forest Cover Change." Science 342 (6160): 850-53. https://doi.org/10.1126/science.1244693.
Unit(s) of Observation:  View help for Unit(s) of Observation individual child,

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V1 [2019-10-12]

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