{"title":"人力资本和社会因素对孟加拉国家庭收入的影响:计量经济学分析","authors":"Md. Arfanuzzaman, A. Mamun","doi":"10.35866/CAUJED.2020.45.3.002","DOIUrl":null,"url":null,"abstract":"TThe study examined the effects of human capital (education and experience) and social factors (gender, marital status, spatial condition, and occupation) on the monthly income of the people of Bangladesh through OLS and quantile regression based on the data of 9943 sample of Household Income and Expenditure Survey (HIES). It appears that both human capital and social factors have significant explanatory power to explicate the monthly income of the household. The OLS and quantile regression suggest that the effects of social factors are superior to that of human capital on the monthly income. The estimates further reveal that urban people get 18% more wage than their rural counterparts, and people engaged in the non-agricultural sector received 25% higher wages than the agricultural sector. Besides, female workers receive 36% less wage than male workers. Nevertheless, there is a distinct effect of the human capital and social factors in the gender and rural-urban context. The study recommends, a reorient policy to properly address these gender wage gap, sectoral and area-specific issues of the labor market with a view to ensuring the fair income distribution and inequality reduction.","PeriodicalId":15602,"journal":{"name":"Journal of economic development","volume":"45 1","pages":"29-49"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"The Effects of Human Capital and Social Factors on the Household Income of Bangladesh: An Econometric Analysis\",\"authors\":\"Md. Arfanuzzaman, A. Mamun\",\"doi\":\"10.35866/CAUJED.2020.45.3.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"TThe study examined the effects of human capital (education and experience) and social factors (gender, marital status, spatial condition, and occupation) on the monthly income of the people of Bangladesh through OLS and quantile regression based on the data of 9943 sample of Household Income and Expenditure Survey (HIES). It appears that both human capital and social factors have significant explanatory power to explicate the monthly income of the household. The OLS and quantile regression suggest that the effects of social factors are superior to that of human capital on the monthly income. The estimates further reveal that urban people get 18% more wage than their rural counterparts, and people engaged in the non-agricultural sector received 25% higher wages than the agricultural sector. Besides, female workers receive 36% less wage than male workers. Nevertheless, there is a distinct effect of the human capital and social factors in the gender and rural-urban context. The study recommends, a reorient policy to properly address these gender wage gap, sectoral and area-specific issues of the labor market with a view to ensuring the fair income distribution and inequality reduction.\",\"PeriodicalId\":15602,\"journal\":{\"name\":\"Journal of economic development\",\"volume\":\"45 1\",\"pages\":\"29-49\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of economic development\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.35866/CAUJED.2020.45.3.002\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Economics, Econometrics and Finance\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of economic development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35866/CAUJED.2020.45.3.002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
The Effects of Human Capital and Social Factors on the Household Income of Bangladesh: An Econometric Analysis
TThe study examined the effects of human capital (education and experience) and social factors (gender, marital status, spatial condition, and occupation) on the monthly income of the people of Bangladesh through OLS and quantile regression based on the data of 9943 sample of Household Income and Expenditure Survey (HIES). It appears that both human capital and social factors have significant explanatory power to explicate the monthly income of the household. The OLS and quantile regression suggest that the effects of social factors are superior to that of human capital on the monthly income. The estimates further reveal that urban people get 18% more wage than their rural counterparts, and people engaged in the non-agricultural sector received 25% higher wages than the agricultural sector. Besides, female workers receive 36% less wage than male workers. Nevertheless, there is a distinct effect of the human capital and social factors in the gender and rural-urban context. The study recommends, a reorient policy to properly address these gender wage gap, sectoral and area-specific issues of the labor market with a view to ensuring the fair income distribution and inequality reduction.
期刊介绍:
The Journal of Economic Development (JED) promotes and encourages research that aim at economic development and growth by publishing papers of great scholarly merit on a wide range of topics and employing a wide range of approaches. JED welcomes both theoretical and empirical papers in the fields of economic development, economic growth, international trade and finance, labor economics, IO, social choice and political economics. JED also invites the economic analysis on the experiences of economic development in various dimensions from all the countries of the globe.