Information, Learning, and Wage Rates in Low-Income Rural Areas
In this essay, we present evidence that employers in rural areas of developing countries have imperfect information with regard to the productivity of heterogeneous workers. In addition to obtaining direct measures of the completeness of employer information we consider the implications of informati...
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description | In this essay, we present evidence that employers in rural areas of developing countries have imperfect information with regard to the productivity of heterogeneous workers. In addition to obtaining direct measures of the completeness of employer information we consider the implications of information asymmetries for the structure of casual labor markets. We then evaluate the extent to which casual labor markets do, in fact, exhibit these attributes. We find that: (1) there is adverse selection out of the time-rate labor market; (2) employers discriminate statistically: given two workers with different observed characteristics but the same actual productivity, the worker from the group with the higher average productivity will have a higher wage; (3) employers exhibit learning over time: the extent of employer ignorance is negatively related to labor-market exposure on the part of the workers; and (4) calorie consumption affects productivity but is not rewarded in the time-rate labor market. In concluding we argue that an analysis of wage and employment patterns and the implications of these patterns for human capital investment in rural areas of developing countries that ignored the role of information problems could yield misleading conclusions. |
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In addition to obtaining direct measures of the completeness of employer information we consider the implications of information asymmetries for the structure of casual labor markets. We then evaluate the extent to which casual labor markets do, in fact, exhibit these attributes. We find that: (1) there is adverse selection out of the time-rate labor market; (2) employers discriminate statistically: given two workers with different observed characteristics but the same actual productivity, the worker from the group with the higher average productivity will have a higher wage; (3) employers exhibit learning over time: the extent of employer ignorance is negatively related to labor-market exposure on the part of the workers; and (4) calorie consumption affects productivity but is not rewarded in the time-rate labor market. In concluding we argue that an analysis of wage and employment patterns and the implications of these patterns for human capital investment in rural areas of developing countries that ignored the role of information problems could yield misleading conclusions.</description><identifier>ISSN: 0022-166X</identifier><identifier>EISSN: 1548-8004</identifier><identifier>DOI: 10.2307/146293</identifier><identifier>CODEN: JHREA9</identifier><language>eng</language><publisher>Madison: University of Wisconsin Press</publisher><subject>Agricultural productivity ; Cost efficiency ; Developing countries ; Developing Nations ; Economic models ; Economic theory ; Employee productivity ; Employers ; Employment ; Employment discrimination ; Employment Patterns ; Equal Opportunities (Jobs) ; Foreign Countries ; Gender discrimination ; Human Capital ; Information Utilization ; International aspects ; Labor market ; Labor markets ; Labor supply ; Labour market ; LDCs ; Low Income ; Manpower information ; Men ; Nutrition ; Overview, Theory, and Measurement ; Productivity ; Role ; Rural Areas ; Rural development ; Salary Wage Differentials ; Social aspects ; Statistical Bias ; Structure ; Unskilled labor ; Wage rate ; Wage rates ; Wages ; Wages & salaries</subject><ispartof>The Journal of human resources, 1993-10, Vol.28 (4), p.759-790</ispartof><rights>Copyright 1993 The Board of Regents of the University of Wisconsin System</rights><rights>COPYRIGHT 1993 University of Wisconsin Press</rights><rights>Copyright University of Wisconsin Press Fall 1993</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c520t-de40125cdbfe04d27fffea8ad1e23d9897430bde2c216ad46e63f6c38c73f51a3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/146293$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/146293$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,803,27869,27924,27925,31000,58017,58250</link.rule.ids><backlink>$$Uhttp://eric.ed.gov/ERICWebPortal/detail?accno=EJ473857$$DView record in ERIC$$Hfree_for_read</backlink></links><search><creatorcontrib>Foster, Andrew D.</creatorcontrib><creatorcontrib>Rosenzweig, Mark R.</creatorcontrib><title>Information, Learning, and Wage Rates in Low-Income Rural Areas</title><title>The Journal of human resources</title><description>In this essay, we present evidence that employers in rural areas of developing countries have imperfect information with regard to the productivity of heterogeneous workers. In addition to obtaining direct measures of the completeness of employer information we consider the implications of information asymmetries for the structure of casual labor markets. We then evaluate the extent to which casual labor markets do, in fact, exhibit these attributes. We find that: (1) there is adverse selection out of the time-rate labor market; (2) employers discriminate statistically: given two workers with different observed characteristics but the same actual productivity, the worker from the group with the higher average productivity will have a higher wage; (3) employers exhibit learning over time: the extent of employer ignorance is negatively related to labor-market exposure on the part of the workers; and (4) calorie consumption affects productivity but is not rewarded in the time-rate labor market. 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resources</jtitle><date>1993-10-01</date><risdate>1993</risdate><volume>28</volume><issue>4</issue><spage>759</spage><epage>790</epage><pages>759-790</pages><issn>0022-166X</issn><eissn>1548-8004</eissn><coden>JHREA9</coden><abstract>In this essay, we present evidence that employers in rural areas of developing countries have imperfect information with regard to the productivity of heterogeneous workers. In addition to obtaining direct measures of the completeness of employer information we consider the implications of information asymmetries for the structure of casual labor markets. We then evaluate the extent to which casual labor markets do, in fact, exhibit these attributes. We find that: (1) there is adverse selection out of the time-rate labor market; (2) employers discriminate statistically: given two workers with different observed characteristics but the same actual productivity, the worker from the group with the higher average productivity will have a higher wage; (3) employers exhibit learning over time: the extent of employer ignorance is negatively related to labor-market exposure on the part of the workers; and (4) calorie consumption affects productivity but is not rewarded in the time-rate labor market. In concluding we argue that an analysis of wage and employment patterns and the implications of these patterns for human capital investment in rural areas of developing countries that ignored the role of information problems could yield misleading conclusions.</abstract><cop>Madison</cop><pub>University of Wisconsin Press</pub><doi>10.2307/146293</doi><tpages>32</tpages></addata></record> |
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subjects | Agricultural productivity Cost efficiency Developing countries Developing Nations Economic models Economic theory Employee productivity Employers Employment Employment discrimination Employment Patterns Equal Opportunities (Jobs) Foreign Countries Gender discrimination Human Capital Information Utilization International aspects Labor market Labor markets Labor supply Labour market LDCs Low Income Manpower information Men Nutrition Overview, Theory, and Measurement Productivity Role Rural Areas Rural development Salary Wage Differentials Social aspects Statistical Bias Structure Unskilled labor Wage rate Wage rates Wages Wages & salaries |
title | Information, Learning, and Wage Rates in Low-Income Rural Areas |
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