Pub Date : 2024-09-27DOI: 10.1016/j.ehb.2024.101436
Adriana N König, Michael Laxy, Annette Peters, Alexandra Schneider, Kathrin Wolf, Lars Schwettmann, Daniel Wiesen
Rising temperatures affect human behavior and risk-taking in several domains. However, it is not yet well understood just how ambient temperature shapes risk attitudes. Using data from the large population-based KORA-Fit study (Cooperative Health Research in the Region of Augsburg) of older people (N=2454), we identify a statistically significant, but very small, positive association between short-term ambient temperature changes and individuals' general willingness to take risks. Health-related risk attitudes, however, show no significant relationship with temperature. These findings support a domain-specific view of risk attitudes, with results remaining consistent for vulnerable individuals with the chronic conditions diabetes, hypertension, and asthma. Overall, our findings suggest that risk attitudes are somewhat stable towards changes in ambient temperature.
{"title":"What is the relationship between risk attitudes and ambient temperature? Evidence from a large population-based cohort study.","authors":"Adriana N König, Michael Laxy, Annette Peters, Alexandra Schneider, Kathrin Wolf, Lars Schwettmann, Daniel Wiesen","doi":"10.1016/j.ehb.2024.101436","DOIUrl":"https://doi.org/10.1016/j.ehb.2024.101436","url":null,"abstract":"<p><p>Rising temperatures affect human behavior and risk-taking in several domains. However, it is not yet well understood just how ambient temperature shapes risk attitudes. Using data from the large population-based KORA-Fit study (Cooperative Health Research in the Region of Augsburg) of older people (N=2454), we identify a statistically significant, but very small, positive association between short-term ambient temperature changes and individuals' general willingness to take risks. Health-related risk attitudes, however, show no significant relationship with temperature. These findings support a domain-specific view of risk attitudes, with results remaining consistent for vulnerable individuals with the chronic conditions diabetes, hypertension, and asthma. Overall, our findings suggest that risk attitudes are somewhat stable towards changes in ambient temperature.</p>","PeriodicalId":50554,"journal":{"name":"Economics & Human Biology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142376275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-24DOI: 10.1016/j.ehb.2024.101434
Understanding the formation of risk preferences is crucial for elucidating the roots of economic, social, and health inequalities. However, this area remains inadequately explored. This study employs a risk preference measure directly linked to the labor market to examine whether previous experiences with high unemployment rates influence current risk decision-making among the elderly, and whether this impact varies by genotype. The findings indicate that individuals with low genetic predispositions for risk tolerance are more significantly influenced by historical fluctuations in unemployment rates than those with high genetic predispositions for risk tolerance. Consequently, this paper identifies genetic endowment as a crucial moderating factor that shapes how past experiences impact current decision-making processes. This disparity in how past experiences shape risk preferences based on genetic predisposition may further amplify inequalities in health, wealth, income, and other outcomes associated with risk preferences.
{"title":"The role of gene–environment interaction in the formation of risk attitudes","authors":"","doi":"10.1016/j.ehb.2024.101434","DOIUrl":"10.1016/j.ehb.2024.101434","url":null,"abstract":"<div><div>Understanding the formation of risk preferences is crucial for elucidating the roots of economic, social, and health inequalities. However, this area remains inadequately explored. This study employs a risk preference measure directly linked to the labor market to examine whether previous experiences with high unemployment rates influence current risk decision-making among the elderly, and whether this impact varies by genotype. The findings indicate that individuals with low genetic predispositions for risk tolerance are more significantly influenced by historical fluctuations in unemployment rates than those with high genetic predispositions for risk tolerance. Consequently, this paper identifies genetic endowment as a crucial moderating factor that shapes how past experiences impact current decision-making processes. This disparity in how past experiences shape risk preferences based on genetic predisposition may further amplify inequalities in health, wealth, income, and other outcomes associated with risk preferences.</div></div>","PeriodicalId":50554,"journal":{"name":"Economics & Human Biology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142358843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-24DOI: 10.1016/j.ehb.2024.101435
This study explores the allocation of time, particularly to sleep, among children and adolescents in response to daily daylight variation. Utilising a dataset of over 50,000 time-use diaries from two Australian cohorts spanning 16 years and employing an individual fixed effects estimator, we uncover a substantial causal impact of daily daylight duration on sleep patterns. Our findings reveal that days with longer daylight hours are associated with a decrease in total sleep duration, primarily driven by a later sleep onset time. Additionally, longer daylight hours correspond to reduced time spent on personal care and media activities, with increased dedication to school and physical activities. Furthermore, we identify socio-demographic factors moderating these effects, such as older age and weekend days exerting a stronger influence on sleep duration, while females and children of unemployed mothers exhibit a subtle impact. These insights contribute to our understanding of how environmental factors shape daily routines and offer implications for designing schedules that promote positive developmental outcomes in young individuals.
{"title":"Daylight duration and time allocation of children and adolescents","authors":"","doi":"10.1016/j.ehb.2024.101435","DOIUrl":"10.1016/j.ehb.2024.101435","url":null,"abstract":"<div><div>This study explores the allocation of time, particularly to sleep, among children and adolescents in response to daily daylight variation. Utilising a dataset of over 50,000 time-use diaries from two Australian cohorts spanning 16 years and employing an individual fixed effects estimator, we uncover a substantial causal impact of daily daylight duration on sleep patterns. Our findings reveal that days with longer daylight hours are associated with a decrease in total sleep duration, primarily driven by a later sleep onset time. Additionally, longer daylight hours correspond to reduced time spent on personal care and media activities, with increased dedication to school and physical activities. Furthermore, we identify socio-demographic factors moderating these effects, such as older age and weekend days exerting a stronger influence on sleep duration, while females and children of unemployed mothers exhibit a subtle impact. These insights contribute to our understanding of how environmental factors shape daily routines and offer implications for designing schedules that promote positive developmental outcomes in young individuals.</div></div>","PeriodicalId":50554,"journal":{"name":"Economics & Human Biology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142331679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-19DOI: 10.1016/j.ehb.2024.101431
The misallocation of medical resources leads to interregional patient flow in search of better healthcare. Using out-of-pocket medical expenditure data and a delineating method, this paper identifies spatial clusters of medical services in China based on patient flow across cities. Our findings indicate that healthcare resources are more concentrated in northern China, while southern China is divided into several large healthcare clusters at the same threshold. The provincial capital and economically significant cities are more likely to serve as medical cluster centers. We further apply the gravity model to examine the effects of healthcare disparity on cross-city medical expenditure. The results reveal that geographic disparities in high-quality medical resources encourage remote healthcare-seeking behavior, and the shorter the distance between locations, the higher the level of medical consumption. Patients are inclined to seek medical services within their own province and within specific medical clusters identified through delineation methods. This effect is more pronounced among patients from non-central cities. This study highlights healthcare inequality by examining cross-regional medical expenditure, providing valuable insights for future healthcare policy.
{"title":"The geography of healthcare: Mapping patient flow and medical resource allocation in China","authors":"","doi":"10.1016/j.ehb.2024.101431","DOIUrl":"10.1016/j.ehb.2024.101431","url":null,"abstract":"<div><div>The misallocation of medical resources leads to interregional patient flow in search of better healthcare. Using out-of-pocket medical expenditure data and a delineating method, this paper identifies spatial clusters of medical services in China based on patient flow across cities. Our findings indicate that healthcare resources are more concentrated in northern China, while southern China is divided into several large healthcare clusters at the same threshold. The provincial capital and economically significant cities are more likely to serve as medical cluster centers. We further apply the gravity model to examine the effects of healthcare disparity on cross-city medical expenditure. The results reveal that geographic disparities in high-quality medical resources encourage remote healthcare-seeking behavior, and the shorter the distance between locations, the higher the level of medical consumption. Patients are inclined to seek medical services within their own province and within specific medical clusters identified through delineation methods. This effect is more pronounced among patients from non-central cities. This study highlights healthcare inequality by examining cross-regional medical expenditure, providing valuable insights for future healthcare policy.</div></div>","PeriodicalId":50554,"journal":{"name":"Economics & Human Biology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142320123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-11DOI: 10.1016/j.ehb.2024.101433
This study examines the association between decentralized wage bargaining and worker health in Finland. We utilize unique data on collective agreements matched with total population administrative data on mental health disorders and sickness absence for the 2005–2013 period. We find that decentralized wage bargaining is related to mental health among blue-collar workers. Specifically, local wage increase allowances are associated with improved mental health in firms with a high concentration of white-collar employees, whereas this association is reversed in firms where blue-collar workers predominate. No consistent links to sickness absences are observed. Further analyses indicate that higher earnings under local wage agreements may explain the observed improvement in mental health in white-collar intensive firms, whereas decreased employment could partially explain the worsened mental health in blue-collar intensive firms.
{"title":"Decentralized wage bargaining and health","authors":"","doi":"10.1016/j.ehb.2024.101433","DOIUrl":"10.1016/j.ehb.2024.101433","url":null,"abstract":"<div><p>This study examines the association between decentralized wage bargaining and worker health in Finland. We utilize unique data on collective agreements matched with total population administrative data on mental health disorders and sickness absence for the 2005–2013 period. We find that decentralized wage bargaining is related to mental health among blue-collar workers. Specifically, local wage increase allowances are associated with improved mental health in firms with a high concentration of white-collar employees, whereas this association is reversed in firms where blue-collar workers predominate. No consistent links to sickness absences are observed. Further analyses indicate that higher earnings under local wage agreements may explain the observed improvement in mental health in white-collar intensive firms, whereas decreased employment could partially explain the worsened mental health in blue-collar intensive firms.</p></div>","PeriodicalId":50554,"journal":{"name":"Economics & Human Biology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142233828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-10DOI: 10.1016/j.ehb.2024.101432
While the benefits of physical activity on health are well documented, in high-income countries 1 in 3 adults do not reach the recommended levels. Thus, policy makers have developed interventions to promote physical activity. The aim of this research is to evaluate the effectiveness of physical activity prescription on mental health outcomes, by studying an intervention that prescribes physical activity at the primary care level in Catalonia (PAFES). This intervention specifically targets the adult population with high cardiovascular risk. We use data from the Health Survey of Catalonia (2011–2016) and exploit the variation in the number of trained General Practitioners that prescribe physical activity. Our results show that physical activity prescription reduces the probability of suffering from poor mental health. This effect is mainly driven by females within the targeted population. We also explore the main effect (or the output) of the intervention. While PAFES increases the probability of patients undertaking high-level physical activity, it does not affect rates of sedentarism or minutes walked per day. Results are consistent when using alternative mental health outcome measures, including self-reported depression and anxiety. We conclude that the prescription of physical activity not only contributes to the improvement of physical health but is also a useful tool to help preserve mental wellbeing.
{"title":"The effects of physical activity prescription on mental health: Evidence from primary care","authors":"","doi":"10.1016/j.ehb.2024.101432","DOIUrl":"10.1016/j.ehb.2024.101432","url":null,"abstract":"<div><p>While the benefits of physical activity on health are well documented, in high-income countries 1 in 3 adults do not reach the recommended levels. Thus, policy makers have developed interventions to promote physical activity. The aim of this research is to evaluate the effectiveness of physical activity prescription on mental health outcomes, by studying an intervention that prescribes physical activity at the primary care level in Catalonia (PAFES). This intervention specifically targets the adult population with high cardiovascular risk. We use data from the Health Survey of Catalonia (2011–2016) and exploit the variation in the number of trained General Practitioners that prescribe physical activity. Our results show that physical activity prescription reduces the probability of suffering from poor mental health. This effect is mainly driven by females within the targeted population. We also explore the main effect (or the output) of the intervention. While PAFES increases the probability of patients undertaking high-level physical activity, it does not affect rates of sedentarism or minutes walked per day. Results are consistent when using alternative mental health outcome measures, including self-reported depression and anxiety. We conclude that the prescription of physical activity not only contributes to the improvement of physical health but is also a useful tool to help preserve mental wellbeing.</p></div>","PeriodicalId":50554,"journal":{"name":"Economics & Human Biology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1570677X24000844/pdfft?md5=253583980aac6eca1ec62dfa726312aa&pid=1-s2.0-S1570677X24000844-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142272649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-25DOI: 10.1016/j.ehb.2024.101429
India reached the replacement level of fertility in 2020. However, the journey of fertility transition is unconventional and heterogeneous within the country and across the different socio-economic groups. The fertility transition is considered to be faster than its socio-economic and health transition in several states. Thus, it has been presumed that the returns to fertility decline are heterogeneous across the states and population sub-groups. Our specific hypothesis is that although rich and poor, and educated and un-educated, everyone had significantly contributed to the fertility decline in response to family planning policies, only those socio-economically better-off have been investing relatively more in their children compared to the poor, and this has led to diverging destinies for children. We tested this supposition using a macro-level panel dataset (1992–2021), fixed and random effects, and IV regression models. The results confirm that child health care and outcomes have diverged while fertility declined from 1992 to 2021. These results are sustained in multiple robustness checks. While fertility is declining with highly state-sponsored family planning programmes, the persistent socio-economic inequalities are leading to unequal progress in health outcomes for children in India.
印度的生育率在 2020 年达到更替水平。然而,在印度国内和不同的社会经济群体中,生育率过渡的历程是非常规的,也是异质的。在一些邦,生育率转型被认为快于其社会经济和健康转型。因此,人们推测生育率下降的回报在各州和人口亚群体之间是不一样的。我们的具体假设是,尽管富人和穷人、受过教育的人和未受过教育的人,每个人都对计划生育政策导致的生育率下降做出了重大贡献,但只有那些社会经济条件较好的人与穷人相比,对子女的投资相对较多,这导致了儿童命运的分化。我们使用宏观面板数据集(1992-2021 年)、固定效应和随机效应以及 IV 回归模型对这一假设进行了检验。结果证实,从 1992 年到 2021 年,在生育率下降的同时,儿童医疗保健和结果也出现了分化。这些结果在多重稳健性检验中得到了证实。虽然生育率在国家高度支持的计划生育计划下有所下降,但持续存在的社会经济不平等导致印度儿童健康成果的进展不均衡。
{"title":"Diverging destinies: How children are faring under demographic transition","authors":"","doi":"10.1016/j.ehb.2024.101429","DOIUrl":"10.1016/j.ehb.2024.101429","url":null,"abstract":"<div><p>India reached the replacement level of fertility in 2020. However, the journey of fertility transition is unconventional and heterogeneous within the country and across the different socio-economic groups. The fertility transition is considered to be faster than its socio-economic and health transition in several states. Thus, it has been presumed that the returns to fertility decline are heterogeneous across the states and population sub-groups. Our specific hypothesis is that although rich and poor, and educated and un-educated, everyone had significantly contributed to the fertility decline in response to family planning policies, only those socio-economically better-off have been investing relatively more in their children compared to the poor, and this has led to diverging destinies for children. We tested this supposition using a macro-level panel dataset (1992–2021), fixed and random effects, and IV regression models. The results confirm that child health care and outcomes have diverged while fertility declined from 1992 to 2021. These results are sustained in multiple robustness checks. While fertility is declining with highly state-sponsored family planning programmes, the persistent socio-economic inequalities are leading to unequal progress in health outcomes for children in India.</p></div>","PeriodicalId":50554,"journal":{"name":"Economics & Human Biology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142122227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-22DOI: 10.1016/j.ehb.2024.101428
This paper investigates the impact of maternal age at birth on child mortality in India, the world's most populous country burdened with significant neonatal and infant mortality. Utilizing data from the latest National Family Health Surveys, covering around 1 million children, our analysis incorporates models with household and biological-mother fixed-effects to address unobserved heterogeneity. Outcomes include neonatal mortality (<28 days), infant mortality (<12 months), and under-5 mortality. Findings reveal a U-shaped relationship between maternal age and child mortality, with the highest risk for mothers below 17 and above 40 years old. Robustness checks confirm the enduring significance of maternal age even after adjusting for socioeconomic factors and time-variant unobservables. Moreover, models with biological-mother fixed-effects suggest higher risks compared to models that only control for observables, indicating that regressions without controls for time-invariant heterogeneity may underestimate the risks of maternal age at birth.
{"title":"Beyond the biological prime: Deciphering the link between child survival and maternal age in India","authors":"","doi":"10.1016/j.ehb.2024.101428","DOIUrl":"10.1016/j.ehb.2024.101428","url":null,"abstract":"<div><p>This paper investigates the impact of maternal age at birth on child mortality in India, the world's most populous country burdened with significant neonatal and infant mortality. Utilizing data from the latest National Family Health Surveys, covering around 1 million children, our analysis incorporates models with household and biological-mother fixed-effects to address unobserved heterogeneity. Outcomes include neonatal mortality (<28 days), infant mortality (<12 months), and under-5 mortality. Findings reveal a U-shaped relationship between maternal age and child mortality, with the highest risk for mothers below 17 and above 40 years old. Robustness checks confirm the enduring significance of maternal age even after adjusting for socioeconomic factors and time-variant unobservables. Moreover, models with biological-mother fixed-effects suggest higher risks compared to models that only control for observables, indicating that regressions without controls for time-invariant heterogeneity may underestimate the risks of maternal age at birth.</p></div>","PeriodicalId":50554,"journal":{"name":"Economics & Human Biology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142077356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-20DOI: 10.1016/j.ehb.2024.101427
We use quarterly panel data from the COME-HERE survey covering five European countries to analyse three facets of the experience of loneliness during the COVID-19 pandemic. First, in terms of prevalence, loneliness peaked in April 2020, followed by a U-shape pattern in the rest of 2020, and then remained relatively stable throughout 2021 and 2022. We then establish the individual determinants of loneliness and compare them to those found in the literature predating the COVID-19 pandemic. As in previous work, women are lonelier, and partnership, education, income, and employment protect against loneliness. However, the pandemic substantially shifted the age profile: it is now the youngest who are the loneliest. We last show that pandemic policies affected loneliness, which rose with containment policies but fell with government economic support. Conversely, the intensity of the pandemic itself, via the number of recent COVID-19 deaths, had only a minor impact. The experience of the pandemic has thus shown that public policy can influence societal loneliness trends.
{"title":"Loneliness during the COVID-19 pandemic: Evidence from five European countries","authors":"","doi":"10.1016/j.ehb.2024.101427","DOIUrl":"10.1016/j.ehb.2024.101427","url":null,"abstract":"<div><p>We use quarterly panel data from the COME-HERE survey covering five European countries to analyse three facets of the experience of loneliness during the COVID-19 pandemic. First, in terms of prevalence, loneliness peaked in April 2020, followed by a U-shape pattern in the rest of 2020, and then remained relatively stable throughout 2021 and 2022. We then establish the individual determinants of loneliness and compare them to those found in the literature predating the COVID-19 pandemic. As in previous work, women are lonelier, and partnership, education, income, and employment protect against loneliness. However, the pandemic substantially shifted the age profile: it is now the youngest who are the loneliest. We last show that pandemic policies affected loneliness, which rose with containment policies but fell with government economic support. Conversely, the intensity of the pandemic itself, via the number of recent COVID-19 deaths, had only a minor impact. The experience of the pandemic has thus shown that public policy can influence societal loneliness trends.</p></div>","PeriodicalId":50554,"journal":{"name":"Economics & Human Biology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1570677X24000790/pdfft?md5=03d9fd00bd5b0d18514bd27a02be094d&pid=1-s2.0-S1570677X24000790-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142012174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-08-13DOI: 10.1016/j.ehb.2024.101416
Contraception is a crucial tool that empowers women to control their bodily autonomy. Concurrently, domestic violence remains a pressing public health issue, depleting women’s autonomy. We establish a causal link between a woman’s contraceptive use decision and the occurrence of intimate partner violence. We use an instrumental variable approach to estimate our causal effects by utilizing nationally representative data for India. Using exogenous variation in the neighbourhood average of women’s exposure to family planning messages via radio, we find that if a woman independently makes the decision to use contraceptives, she is at a significantly higher risk of physical, sexual and emotional domestic violence. We estimate the bounds of our effects by assuming the IV to be plausibly exogenous, where we relax the exogeneity condition. Our findings underscore the importance of reproductive health in initiatives that reduce domestic violence and targeted policies that provide support to younger and employed women and those from backward caste and rural areas.
避孕是赋予妇女控制自己身体自主权的重要工具。与此同时,家庭暴力仍然是一个紧迫的公共卫生问题,它削弱了妇女的自主权。我们建立了妇女避孕决定与亲密伴侣暴力发生之间的因果关系。我们采用工具变量法,利用印度具有全国代表性的数据来估算因果效应。利用妇女通过广播接触计划生育信息的邻近地区平均值的外生变化,我们发现,如果妇女独立做出使用避孕药具的决定,她遭受身体暴力、性暴力和情感家庭暴力的风险就会显著增加。我们通过假定 IV 是看似外生的来估计影响的边界,其中我们放宽了外生性条件。我们的研究结果强调了生殖健康在减少家庭暴力的举措中的重要性,以及为年轻妇女、就业妇女、落后种姓妇女和农村妇女提供支持的针对性政策的重要性。
{"title":"Power to choose? Examining the link between contraceptive use decision and domestic violence","authors":"","doi":"10.1016/j.ehb.2024.101416","DOIUrl":"10.1016/j.ehb.2024.101416","url":null,"abstract":"<div><p>Contraception is a crucial tool that empowers women to control their bodily autonomy. Concurrently, domestic violence remains a pressing public health issue, depleting women’s autonomy. We establish a causal link between a woman’s contraceptive use decision and the occurrence of intimate partner violence. We use an instrumental variable approach to estimate our causal effects by utilizing nationally representative data for India. Using exogenous variation in the neighbourhood average of women’s exposure to family planning messages via radio, we find that if a woman independently makes the decision to use contraceptives, she is at a significantly higher risk of physical, sexual and emotional domestic violence. We estimate the bounds of our effects by assuming the IV to be plausibly exogenous, where we relax the exogeneity condition. Our findings underscore the importance of reproductive health in initiatives that reduce domestic violence and targeted policies that provide support to younger and employed women and those from backward caste and rural areas.</p></div>","PeriodicalId":50554,"journal":{"name":"Economics & Human Biology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141998092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}