{"title":"Determinants of Earnings of Rural Households of Multan District (Pakistan)","authors":"Rashid Ahmad, Saba Rehman","doi":"10.47067/reads.v9i1.475","DOIUrl":null,"url":null,"abstract":"This study focuses on exploring the factors affecting on urban Earnings of household of Multan district. Cross-sectional data was collected through questionnaire from household of District Multan's belonging to rural areas. About 300 respondents belonging to rural areas were randomly engaged for an interview in 2021. Mincerian earning function was used for analysis and its extension form was also analyzed. In this study it was found that Experience and Education positively impact on earning whereas experience square had a negative impact while evaluating Mincerian Earing function. In the Extended Mincerian Earing function, Education, experience, age, spouse involvement, marital status, and migration positively impact on earnings while age squared, experience squared, and employment have a negative impact on earnings of rural household of Multan district.","PeriodicalId":32725,"journal":{"name":"Review of Economics and Development Studies","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Review of Economics and Development Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47067/reads.v9i1.475","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This study focuses on exploring the factors affecting on urban Earnings of household of Multan district. Cross-sectional data was collected through questionnaire from household of District Multan's belonging to rural areas. About 300 respondents belonging to rural areas were randomly engaged for an interview in 2021. Mincerian earning function was used for analysis and its extension form was also analyzed. In this study it was found that Experience and Education positively impact on earning whereas experience square had a negative impact while evaluating Mincerian Earing function. In the Extended Mincerian Earing function, Education, experience, age, spouse involvement, marital status, and migration positively impact on earnings while age squared, experience squared, and employment have a negative impact on earnings of rural household of Multan district.