Understanding the contribution of demographic, socio-economic, and geographic characteristics as determinants of physical health and well-being is important for guiding public health policies and preventative behavior interventions. We use several machine learning methods to build predictive models of overall well-being and physical health among veterans as a function of these three sets of characteristics. We link Gallup's U.S. Daily Poll between 2014 and 2017 covering a range of demographic and socio-economic characteristics with zipcode characteristics from the Census Bureau to build predictive models of overall and physical well-being. Although the predictive models of overall well-being have weak performance, our classification of low levels of physical well-being performed better. Gradient boosting delivered the best results (90.2% precision, 82.4% recall, and 80.4% AUROC) with perceptions of purpose in the workplace and financial anxiety as the most predictive features. Our results suggest that additional measures of socio-economic characteristics are required to better predict physical well-being, particularly among vulnerable groups, like veterans. Reliable and effective predictive models will provide opportunities to create real-time and personalized feedback to help individuals improve their quality of life.
{"title":"Leveraging Machine Learning to Characterize the Role of Socio-economic Determinants of Physical Health and Well-being Among Veterans","authors":"C. Makridis, David Y. Zhao, G. Alterovitz","doi":"10.2139/ssrn.3686845","DOIUrl":"https://doi.org/10.2139/ssrn.3686845","url":null,"abstract":"Understanding the contribution of demographic, socio-economic, and geographic characteristics as determinants of physical health and well-being is important for guiding public health policies and preventative behavior interventions. We use several machine learning methods to build predictive models of overall well-being and physical health among veterans as a function of these three sets of characteristics. We link Gallup's U.S. Daily Poll between 2014 and 2017 covering a range of demographic and socio-economic characteristics with zipcode characteristics from the Census Bureau to build predictive models of overall and physical well-being. Although the predictive models of overall well-being have weak performance, our classification of low levels of physical well-being performed better. Gradient boosting delivered the best results (90.2% precision, 82.4% recall, and 80.4% AUROC) with perceptions of purpose in the workplace and financial anxiety as the most predictive features. Our results suggest that additional measures of socio-economic characteristics are required to better predict physical well-being, particularly among vulnerable groups, like veterans. Reliable and effective predictive models will provide opportunities to create real-time and personalized feedback to help individuals improve their quality of life.","PeriodicalId":149805,"journal":{"name":"Labor: Demographics & Economics of the Family eJournal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125906523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Camila Espinosa Borda, H. Bayona-Rodríguez, Hernán Darío Enríquez Sierra
Spanish Abstract: Esta investigación evalúa el efecto de las interacciones entre estudiantes y docentes mujeres de áreas CTIM (Ciencia, Tecnología, Ingeniería y Matemáticas, STEM por sus siglas en inglés) sobre las expectativas de elección de carrera universitaria. Considerando que factores motivacionales afectan la elección de carrera, se usa una aproximación de modelos de rol para explicar esta decisión de las mujeres que están cursando secundaria en Colombia. Esta aproximación se implementa a través de un modelo Logit multinivel que emplea los datos PISA de 2015 a nivel nacional y estima la probabilidad de elegir una carrera CTIM. Los resultados muestran que contar con una docente mujer de áreas CTIM en el colegio no tiene un efecto estadísticamente significativo sobre la expectativa de elección de una carrera CTIM de las mujeres. En contraste, la autoeficacia de las estudiantes tiene efectos positivos sobre la expectativa de elección de carrera en estas mujeres. Adicional, una mujer que cursa el bachillerato en un colegio privado con programa vocacional tiene menor probabilidad de elegir una carrera CTIM que su contraparte en un colegio público con programa vocacional.
English Abstract: This paper aims to analyze the effect of interactions between female students and teachers of Science, Technology, Engeniering and Maths (STEM), over student’s career choice expectative. By the fact that career choice is moved by motivational factors, we use a role model approach to explain the STEM career choice of women at high school in Colombia. This approach is applied through a hierarchical Logit model that uses 2015 PISA data at national level and estimates STEM career choice probability. The results show that interaction between a women student and a STEM woman teacher at school does not have a significative statistical effect over STEM career choice. By contrast, women students autoefficacy has a positive effect over STEM career choice expectative. Further, a woman in a private high school with vocational program has a lower likelihood of choice a STEM career than her partner in a public high school with vocational program.
{"title":"Efecto del género del docente sobre la elección de las carreras de las mujeres: evidencia para Colombia (Teacher's Gender Effect Over Women Career Choice: Evidence for Colombia)","authors":"Camila Espinosa Borda, H. Bayona-Rodríguez, Hernán Darío Enríquez Sierra","doi":"10.2139/ssrn.3596150","DOIUrl":"https://doi.org/10.2139/ssrn.3596150","url":null,"abstract":"<b>Spanish Abstract:</b> Esta investigación evalúa el efecto de las interacciones entre estudiantes y docentes mujeres de áreas CTIM (Ciencia, Tecnología, Ingeniería y Matemáticas, STEM por sus siglas en inglés) sobre las expectativas de elección de carrera universitaria. Considerando que factores motivacionales afectan la elección de carrera, se usa una aproximación de modelos de rol para explicar esta decisión de las mujeres que están cursando secundaria en Colombia. Esta aproximación se implementa a través de un modelo Logit multinivel que emplea los datos PISA de 2015 a nivel nacional y estima la probabilidad de elegir una carrera CTIM. Los resultados muestran que contar con una docente mujer de áreas CTIM en el colegio no tiene un efecto estadísticamente significativo sobre la expectativa de elección de una carrera CTIM de las mujeres. En contraste, la autoeficacia de las estudiantes tiene efectos positivos sobre la expectativa de elección de carrera en estas mujeres. Adicional, una mujer que cursa el bachillerato en un colegio privado con programa vocacional tiene menor probabilidad de elegir una carrera CTIM que su contraparte en un colegio público con programa vocacional.<br><br><b>English Abstract:</b> This paper aims to analyze the effect of interactions between female students and teachers of Science, Technology, Engeniering and Maths (STEM), over student’s career choice expectative. By the fact that career choice is moved by motivational factors, we use a role model approach to explain the STEM career choice of women at high school in Colombia. This approach is applied through a hierarchical Logit model that uses 2015 PISA data at national level and estimates STEM career choice probability. The results show that interaction between a women student and a STEM woman teacher at school does not have a significative statistical effect over STEM career choice. By contrast, women students autoefficacy has a positive effect over STEM career choice expectative. Further, a woman in a private high school with vocational program has a lower likelihood of choice a STEM career than her partner in a public high school with vocational program.","PeriodicalId":149805,"journal":{"name":"Labor: Demographics & Economics of the Family eJournal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132023017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The UK is 'locked down' because of coronavirus (COVID-19). No clear exit strategy currently exists. This paper suggests a possible way forward that combines elements from economics and epidemiology. The paper proposes as a policy a 'release' from lockdown of the young cohort of UK citizens aged between age 20 and 30 who do not live with parents. The paper calculates that there are approximately 4.2 million UK individuals who fall into this 20-30 ageband and who live outside the original parental home. Of those, 2.6 million work in the private sector, so unless some corrective action is taken they are likely to be extremely harshly affected, financially, when compared to employees in the public sector. The paper argues that a young-workforce release of this kind would lead to substantial economic and societal benefits without enormous health costs to the country. In this way, the nation might begin to move forward in the footsteps of the young. The paper's key concept could in principle be implemented in other countries.
{"title":"The Case for Releasing the Young from Lockdown: A Briefing Paper for Policymakers","authors":"A. Oswald, Nattavudh Powdthavee","doi":"10.2139/ssrn.3573283","DOIUrl":"https://doi.org/10.2139/ssrn.3573283","url":null,"abstract":"The UK is 'locked down' because of coronavirus (COVID-19). No clear exit strategy currently exists. This paper suggests a possible way forward that combines elements from economics and epidemiology. The paper proposes as a policy a 'release' from lockdown of the young cohort of UK citizens aged between age 20 and 30 who do not live with parents. The paper calculates that there are approximately 4.2 million UK individuals who fall into this 20-30 ageband and who live outside the original parental home. Of those, 2.6 million work in the private sector, so unless some corrective action is taken they are likely to be extremely harshly affected, financially, when compared to employees in the public sector. The paper argues that a young-workforce release of this kind would lead to substantial economic and societal benefits without enormous health costs to the country. In this way, the nation might begin to move forward in the footsteps of the young. The paper's key concept could in principle be implemented in other countries.","PeriodicalId":149805,"journal":{"name":"Labor: Demographics & Economics of the Family eJournal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133497963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
What would it mean to develop a youth-inclusive agricultural and rural development agenda? Agriculture, and particularly smallholder farming, remains the single largest source of youth employment in most low- and middle-income countries but today’s young rural men and women express little interest in agricultural futures. Research on rural youth aspirations suggests that many young people are not averse to agriculture as such, but to agriculture’s current neglected condition and the near impossibility of becoming an independent farmer while still young, due to lack of access to land. A youth-inclusive agricultural and rural development agenda means approaching young people not as instruments of development, but as subjects, actors and citizens.
{"title":"IFAD Research Series 48: Rural Youth, Today and Tomorrow","authors":"B. White","doi":"10.2139/ssrn.3567742","DOIUrl":"https://doi.org/10.2139/ssrn.3567742","url":null,"abstract":"What would it mean to develop a youth-inclusive agricultural and rural development agenda? Agriculture, and particularly smallholder farming, remains the single largest source of youth employment in most low- and middle-income countries but today’s young rural men and women express little interest in agricultural futures. Research on rural youth aspirations suggests that many young people are not averse to agriculture as such, but to agriculture’s current neglected condition and the near impossibility of becoming an independent farmer while still young, due to lack of access to land. A youth-inclusive agricultural and rural development agenda means approaching young people not as instruments of development, but as subjects, actors and citizens.","PeriodicalId":149805,"journal":{"name":"Labor: Demographics & Economics of the Family eJournal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126504379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Parental divorce is a prevalent childhood event. A long literature attempts to estimate the impact of family dissolution on children's human capital formation. Previous studies applying sibling fixed effects estimators find that the timing of divorce has no direct effects on children's outcomes and conclude that the observed raw associations between child age at parental divorce and adult outcomes are driven by selection of parents into divorce. We apply the same methods on new data sources consisting of the universe of all children that experienced parental divorces in Denmark from 1982 onwards. We find small but precisely estimated negative average effects of early family dissolution on children's human capital formation measured from adolescence to the mid-twenties. By studying additional outcomes, we find significant evidence that parental divorce in early childhood leads to higher risk of mental health problems of children in adulthood. Furthermore, we find suggestive evidence that the timing of divorce plays an especially pertinent role for boys and for children of highly educated parents.
{"title":"Differential Effects of the Timing of Divorce on Children's Outcomes: Evidence from Denmark","authors":"J. Laird, Nick Fabrin Nielsen, T. Nielsen","doi":"10.2139/ssrn.3567651","DOIUrl":"https://doi.org/10.2139/ssrn.3567651","url":null,"abstract":"Parental divorce is a prevalent childhood event. A long literature attempts to estimate the impact of family dissolution on children's human capital formation. Previous studies applying sibling fixed effects estimators find that the timing of divorce has no direct effects on children's outcomes and conclude that the observed raw associations between child age at parental divorce and adult outcomes are driven by selection of parents into divorce. We apply the same methods on new data sources consisting of the universe of all children that experienced parental divorces in Denmark from 1982 onwards. We find small but precisely estimated negative average effects of early family dissolution on children's human capital formation measured from adolescence to the mid-twenties. By studying additional outcomes, we find significant evidence that parental divorce in early childhood leads to higher risk of mental health problems of children in adulthood. Furthermore, we find suggestive evidence that the timing of divorce plays an especially pertinent role for boys and for children of highly educated parents.","PeriodicalId":149805,"journal":{"name":"Labor: Demographics & Economics of the Family eJournal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114803337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A major challenge in the study of saving behavior is how to disentangle different motives for saving. We approach this question in the context of an entire life-cycle model. Specifically, we identify the importance of different saving motives by simultaneously accounting for wealth accumulation during working period, wealth decumulation during retirement, and labor supply behavior. We show that exploiting all of these data features can sharpen our identification, thus complementing previous studies that focus only on wealth accumulation or decumulation. We calibrate our model using several micro datasets and use the estimated model to evaluate the contribution of life-cycle, bequest, and precautionary motives to total savings. We also emphasize the importance of accounting for state-contingent assets when analyzing the precautionary saving motive.
{"title":"Saving Motives over the Life-Cycle","authors":"S. Pashchenko, Ponpoje Porapakkarm","doi":"10.2139/ssrn.3585755","DOIUrl":"https://doi.org/10.2139/ssrn.3585755","url":null,"abstract":"A major challenge in the study of saving behavior is how to disentangle different motives for saving. We approach this question in the context of an entire life-cycle model. Specifically, we identify the importance of different saving motives by simultaneously accounting for wealth accumulation during working period, wealth decumulation during retirement, and labor supply behavior. We show that exploiting all of these data features can sharpen our identification, thus complementing previous studies that focus only on wealth accumulation or decumulation. We calibrate our model using several micro datasets and use the estimated model to evaluate the contribution of life-cycle, bequest, and precautionary motives to total savings. We also emphasize the importance of accounting for state-contingent assets when analyzing the precautionary saving motive.","PeriodicalId":149805,"journal":{"name":"Labor: Demographics & Economics of the Family eJournal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125479071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I show that serious, yet common, parental health shocks in childhood have immediate and lasting effects on mental health and human capital formation for children. Children who experience a parental health shock are more likely to have therapy and take anti-depressant medication following the shock. These children have lower test scores and school enrollment rates. The effect occurs immediately following the shock and persists at least into early adulthood. I find that the effect on test scores is no different for children in high- and lowincome families, but the families react differently to the shock; children from low-income families are more likely to be prescribed anti-depressants following the shock, while children from high-income families are more likely to have therapy. In addition, I find suggestive evidence that children who take anti-depressants following a parental health shock have lower educational attainments in early adulthood, while therapy doesn't have harmful long-term effects.
{"title":"Short- and Long-Term Consequences of Serious Parental Health Shocks","authors":"I. Kristiansen","doi":"10.2139/ssrn.3564038","DOIUrl":"https://doi.org/10.2139/ssrn.3564038","url":null,"abstract":"I show that serious, yet common, parental health shocks in childhood have immediate and lasting effects on mental health and human capital formation for children. Children who experience a parental health shock are more likely to have therapy and take anti-depressant medication following the shock. These children have lower test scores and school enrollment rates. The effect occurs immediately following the shock and persists at least into early adulthood. I find that the effect on test scores is no different for children in high- and lowincome families, but the families react differently to the shock; children from low-income families are more likely to be prescribed anti-depressants following the shock, while children from high-income families are more likely to have therapy. In addition, I find suggestive evidence that children who take anti-depressants following a parental health shock have lower educational attainments in early adulthood, while therapy doesn't have harmful long-term effects.","PeriodicalId":149805,"journal":{"name":"Labor: Demographics & Economics of the Family eJournal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133218165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
While a large literature studies the impact of exposure to early-life investment policies, this paper examines the impact of changes within a program, the Danish nurse home visiting program, on child and maternal health. We exploit variation induced by a nurse strike, which resulted in families missing one of the four universally-provided nurse visit. Using variation in children’s age at strike start, we show that early, but not later, strike exposure increases child and mother contacts to health professionals in the first four years after birth. Forgoing an early nurse visit also increases the probability of maternal contacts to mental health specialists in the first four years after childbirth. We highlight two potential channels for these results: screening and information provision. We show that–in non-strike years–nurses perform well in detecting maternal mental health risks during early visits, and that effects of early strike exposure are strongest for families that we expect to benefit most from information provided by nurses shortly after birth. A stylized calculation confirms that short-run health benefits from early universal home visiting outweigh costs.
{"title":"Missing a Nurse Visit","authors":"Miriam Wüst, J. Hirani, H. H. Sievertsen","doi":"10.2139/ssrn.3654922","DOIUrl":"https://doi.org/10.2139/ssrn.3654922","url":null,"abstract":"While a large literature studies the impact of exposure to early-life investment policies, this paper examines the impact of changes within a program, the Danish nurse home visiting program, on child and maternal health. We exploit variation induced by a nurse strike, which resulted in families missing one of the four universally-provided nurse visit. Using variation in children’s age at strike start, we show that early, but not later, strike exposure increases child and mother contacts to health professionals in the first four years after birth. Forgoing an early nurse visit also increases the probability of maternal contacts to mental health specialists in the first four years after childbirth. We highlight two potential channels for these results: screening and information provision. We show that–in non-strike years–nurses perform well in detecting maternal mental health risks during early visits, and that effects of early strike exposure are strongest for families that we expect to benefit most from information provided by nurses shortly after birth. A stylized calculation confirms that short-run health benefits from early universal home visiting outweigh costs.","PeriodicalId":149805,"journal":{"name":"Labor: Demographics & Economics of the Family eJournal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130965799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I decompose changes in the U.S. household earnings distribution from 1975 to 2018 to examine the labor market processes underlying its evolution over time. I model the distri- bution of earnings as a function of price effects (wages) and quantity effects (work hours and household employment), each of which are specified separately for men and women, and apply a semi-parametric density estimation technique to infer their contributions to in- equality measures over time. Results indicate that changes to the male wage distribution explain much of the growth in earnings inequality, but that its contribution varied greatly over time, with peak contributions in the mid 1990s; while changes in female work hours have actually mitigated inequality growth, particularly by raising earnings in the lower and mid portions of the distribution, with very consistent effects over time. These results demonstrate the relevance of work hours in addition to wage rates in explaining earnings inequality, and the importance of gender differences therein.
{"title":"Gender, Price, and Quantity Effects in U.S. Earnings Inequality: Revisiting Counterfactual Density Estimates","authors":"Andrew Silva","doi":"10.2139/ssrn.3688933","DOIUrl":"https://doi.org/10.2139/ssrn.3688933","url":null,"abstract":"I decompose changes in the U.S. household earnings distribution from 1975 to 2018 to examine the labor market processes underlying its evolution over time. I model the distri- bution of earnings as a function of price effects (wages) and quantity effects (work hours and household employment), each of which are specified separately for men and women, and apply a semi-parametric density estimation technique to infer their contributions to in- equality measures over time. Results indicate that changes to the male wage distribution explain much of the growth in earnings inequality, but that its contribution varied greatly over time, with peak contributions in the mid 1990s; while changes in female work hours have actually mitigated inequality growth, particularly by raising earnings in the lower and mid portions of the distribution, with very consistent effects over time. These results demonstrate the relevance of work hours in addition to wage rates in explaining earnings inequality, and the importance of gender differences therein.","PeriodicalId":149805,"journal":{"name":"Labor: Demographics & Economics of the Family eJournal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124456097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Filipe Lage de Sousa, G. Ferreira, L. Veloso, Synthia Santana
A variety of factors enable firms to innovate and eventually to improve their performance. The contribution of workforce diversity to innovation has been under-explored in empirical work. The main objective of this study was to highlight the relationship between innovation in the Brazilian private sector and workforce diversity by gender, age, and race. Using detailed firm-level data, including an employer-employee dataset, our results suggest that even though some costs are associated with workforce diversity, its benefits can offset them in most innovation outcomes.
{"title":"Diversity to Foster Innovation: Using the Lens of Brazilian Microdata","authors":"Filipe Lage de Sousa, G. Ferreira, L. Veloso, Synthia Santana","doi":"10.2139/ssrn.3667981","DOIUrl":"https://doi.org/10.2139/ssrn.3667981","url":null,"abstract":"A variety of factors enable firms to innovate and eventually to improve their performance. The contribution of workforce diversity to innovation has been under-explored in empirical work. The main objective of this study was to highlight the relationship between innovation in the Brazilian private sector and workforce diversity by gender, age, and race. Using detailed firm-level data, including an employer-employee dataset, our results suggest that even though some costs are associated with workforce diversity, its benefits can offset them in most innovation outcomes.","PeriodicalId":149805,"journal":{"name":"Labor: Demographics & Economics of the Family eJournal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116449384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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