Environmental Determinants of Child Mortality in Rural China : A Competing Risks Approach
We use a competing risk model to analyze environmental determinants of child mortality using the 1992 China National Health Survey, which collects information on cause of death. Our primary question is whether taking into account of cause of death...
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2013
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Online Access: | http://documents.worldbank.org/curated/en/2004/03/3162244/environmental-determinants-child-mortality-rural-china-competing-risks-approach-environmental-determinants-child-mortality-rural-china-competing-risks-approach http://hdl.handle.net/10986/15622 |
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okr-10986-156222021-04-23T14:03:20Z Environmental Determinants of Child Mortality in Rural China : A Competing Risks Approach Jacoby, Hanan Wang, Limin ACCESS TO SAFE DRINKING WATER ACCESS TO SAFE WATER ACCIDENTS AIR AIR POLLUTION ARI BASIC SANITATION BIRTHS CAUSES OF DEATH CENSUS CHILD DEATHS CHILD HEALTH CHILD MORBIDITY CHILD MORTALITY CHILD MORTALITY RATES CHILD SURVIVAL CHILD SURVIVAL PROGRAMS CLINICS COMMUNITY HEALTH DEATH RATE DIAGNOSTICS DIARRHEA DIARRHEAL DISEASE ECONOMIC DEVELOPMENT ECONOMIC REVIEW ECONOMICS ENVIRONMENTAL HEALTH EPIDEMIOLOGY FAMILY PLANNING HEALTH CONDITIONS HEALTH OUTCOMES HEALTH POLICY HOUSEHOLDS HOUSING HYGIENE INCOME INFANT MORTALITY INFANT MORTALITY RATES INFANTS INFECTION INFECTIOUS DISEASES INTERVENTION LIVE BIRTHS LOW INCOME LOW-INCOME COUNTRIES MEDICAL ATTENTION MIGRATION MORBIDITY MORTALITY MOTHERS NEONATAL TETANUS NUTRITION POLICY RESEARCH POPULATION LABORATORIES PREGNANCY RISK FACTORS SAFE DRINKING WATER SANITATION SANITATION SANITATION FACILITIES SELECTION BIAS SOCIAL SERVICES TETANUS URBAN AREAS WATER WATER INFRASTRUCTURE WATER QUALITY WATER SERVICE WATER SERVICES WATER SOURCES We use a competing risk model to analyze environmental determinants of child mortality using the 1992 China National Health Survey, which collects information on cause of death. Our primary question is whether taking into account of cause of death using a competing risk model, compared with a simple model of all-cause mortality, affects conclusions about the effectiveness of policy interventions. There are two potential analytical advantages in using cause of death information: (1) obtaining more accurate estimates and (2) validating causal relationships. Although, we do not find significant differences between estimates obtained from the competing risk model and those from simpler hazard models, we do find evidence supporting the causal interpretations of the effect of access to safe water on child mortality. Our analysis also suggests that a respondent-based health survey can be used to collect relatively reliable information on cause of death. Modifying future demographic and health survey (DHS) instruments to collect cause of death information inexpensively may be worthwhile for enhancing the analytical strength of the DHS. 2013-09-04T20:26:48Z 2013-09-04T20:26:48Z 2004-03 http://documents.worldbank.org/curated/en/2004/03/3162244/environmental-determinants-child-mortality-rural-china-competing-risks-approach-environmental-determinants-child-mortality-rural-china-competing-risks-approach http://hdl.handle.net/10986/15622 English en_US Policy Research Working Paper;No. 3241 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank World Bank, Washington, DC Publications & Research :: Policy Research Working Paper Publications & Research East Asia and Pacific China |
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Digital Repository |
institution_category |
Foreign Institution |
institution |
Digital Repositories |
building |
World Bank Open Knowledge Repository |
collection |
World Bank |
language |
English en_US |
topic |
ACCESS TO SAFE DRINKING WATER ACCESS TO SAFE WATER ACCIDENTS AIR AIR POLLUTION ARI BASIC SANITATION BIRTHS CAUSES OF DEATH CENSUS CHILD DEATHS CHILD HEALTH CHILD MORBIDITY CHILD MORTALITY CHILD MORTALITY RATES CHILD SURVIVAL CHILD SURVIVAL PROGRAMS CLINICS COMMUNITY HEALTH DEATH RATE DIAGNOSTICS DIARRHEA DIARRHEAL DISEASE ECONOMIC DEVELOPMENT ECONOMIC REVIEW ECONOMICS ENVIRONMENTAL HEALTH EPIDEMIOLOGY FAMILY PLANNING HEALTH CONDITIONS HEALTH OUTCOMES HEALTH POLICY HOUSEHOLDS HOUSING HYGIENE INCOME INFANT MORTALITY INFANT MORTALITY RATES INFANTS INFECTION INFECTIOUS DISEASES INTERVENTION LIVE BIRTHS LOW INCOME LOW-INCOME COUNTRIES MEDICAL ATTENTION MIGRATION MORBIDITY MORTALITY MOTHERS NEONATAL TETANUS NUTRITION POLICY RESEARCH POPULATION LABORATORIES PREGNANCY RISK FACTORS SAFE DRINKING WATER SANITATION SANITATION SANITATION FACILITIES SELECTION BIAS SOCIAL SERVICES TETANUS URBAN AREAS WATER WATER INFRASTRUCTURE WATER QUALITY WATER SERVICE WATER SERVICES WATER SOURCES |
spellingShingle |
ACCESS TO SAFE DRINKING WATER ACCESS TO SAFE WATER ACCIDENTS AIR AIR POLLUTION ARI BASIC SANITATION BIRTHS CAUSES OF DEATH CENSUS CHILD DEATHS CHILD HEALTH CHILD MORBIDITY CHILD MORTALITY CHILD MORTALITY RATES CHILD SURVIVAL CHILD SURVIVAL PROGRAMS CLINICS COMMUNITY HEALTH DEATH RATE DIAGNOSTICS DIARRHEA DIARRHEAL DISEASE ECONOMIC DEVELOPMENT ECONOMIC REVIEW ECONOMICS ENVIRONMENTAL HEALTH EPIDEMIOLOGY FAMILY PLANNING HEALTH CONDITIONS HEALTH OUTCOMES HEALTH POLICY HOUSEHOLDS HOUSING HYGIENE INCOME INFANT MORTALITY INFANT MORTALITY RATES INFANTS INFECTION INFECTIOUS DISEASES INTERVENTION LIVE BIRTHS LOW INCOME LOW-INCOME COUNTRIES MEDICAL ATTENTION MIGRATION MORBIDITY MORTALITY MOTHERS NEONATAL TETANUS NUTRITION POLICY RESEARCH POPULATION LABORATORIES PREGNANCY RISK FACTORS SAFE DRINKING WATER SANITATION SANITATION SANITATION FACILITIES SELECTION BIAS SOCIAL SERVICES TETANUS URBAN AREAS WATER WATER INFRASTRUCTURE WATER QUALITY WATER SERVICE WATER SERVICES WATER SOURCES Jacoby, Hanan Wang, Limin Environmental Determinants of Child Mortality in Rural China : A Competing Risks Approach |
geographic_facet |
East Asia and Pacific China |
relation |
Policy Research Working Paper;No. 3241 |
description |
We use a competing risk model to analyze
environmental determinants of child mortality using the 1992
China National Health Survey, which collects information on
cause of death. Our primary question is whether taking into
account of cause of death using a competing risk model,
compared with a simple model of all-cause mortality, affects
conclusions about the effectiveness of policy interventions.
There are two potential analytical advantages in using cause
of death information: (1) obtaining more accurate estimates
and (2) validating causal relationships. Although, we do not
find significant differences between estimates obtained from
the competing risk model and those from simpler hazard
models, we do find evidence supporting the causal
interpretations of the effect of access to safe water on
child mortality. Our analysis also suggests that a
respondent-based health survey can be used to collect
relatively reliable information on cause of death. Modifying
future demographic and health survey (DHS) instruments to
collect cause of death information inexpensively may be
worthwhile for enhancing the analytical strength of the DHS. |
format |
Publications & Research :: Policy Research Working Paper |
author |
Jacoby, Hanan Wang, Limin |
author_facet |
Jacoby, Hanan Wang, Limin |
author_sort |
Jacoby, Hanan |
title |
Environmental Determinants of Child Mortality in Rural China : A Competing Risks Approach |
title_short |
Environmental Determinants of Child Mortality in Rural China : A Competing Risks Approach |
title_full |
Environmental Determinants of Child Mortality in Rural China : A Competing Risks Approach |
title_fullStr |
Environmental Determinants of Child Mortality in Rural China : A Competing Risks Approach |
title_full_unstemmed |
Environmental Determinants of Child Mortality in Rural China : A Competing Risks Approach |
title_sort |
environmental determinants of child mortality in rural china : a competing risks approach |
publisher |
World Bank, Washington, DC |
publishDate |
2013 |
url |
http://documents.worldbank.org/curated/en/2004/03/3162244/environmental-determinants-child-mortality-rural-china-competing-risks-approach-environmental-determinants-child-mortality-rural-china-competing-risks-approach http://hdl.handle.net/10986/15622 |
_version_ |
1764430112573358080 |