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Does Education level lead to Higher Earnings of Farmers and Businessmen in Pakistan? A Case Study of District Bahawalnagar

Author

Listed:
  • Farrukh Bashir

    (The Islamia University of Bahawalpur, Pakistan Bahawalnagar Campus.)

  • Ismat Nasim

    (Government Sadiq College Women University, Bahawalpur.)

  • Muhammad Junaid Nasrullah

    (Pakistan Institute of Development Economics, Islamabad.)

Abstract

The current study examines the role of education on earnings in informal sector. By using stratified random sampling technique sample of 382 individuals is collected through questionnaire and interviews. Ordinary least square method is applied for statistical estimation on data. Education of the respondent in years and categories of education variable from primary to M. Phil. level, age of the respondent, experience, gender, area of living, spouse education, mother’s education, household size, size of land, livestock, availability of healthy diet, investment, and rental property are positively associated with earnings of farmers and businessmen, whereas age square, experience square, schooling of respondent, technical education, working hours, father’s education, marital status and spouse job are negatively associated with earnings of farmers and businessmen.

Suggested Citation

  • Farrukh Bashir & Ismat Nasim & Muhammad Junaid Nasrullah, 2017. "Does Education level lead to Higher Earnings of Farmers and Businessmen in Pakistan? A Case Study of District Bahawalnagar," Pakistan Journal of Humanities and Social Sciences, International Research Alliance for Sustainable Development (iRASD), vol. 5(2), pages :140-163, December.
    • Handle: RePEc:ani:ipjhss:v:5:y:2017:i:2:p:140-163
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Education levels; Bahawalnagar district; Fathers’ Education; Mother’s Education; Schooling of respondents.;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • I20 - Health, Education, and Welfare - - Education - - - General
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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