Abstract
Asymmetric information in the labor market arises mainly from the lack of access and interpretability of information in isolated labor markets. It is suggested that the problem of asymmetric information is quite compelling if the workers are either new in the labor market so that no employer has information regarding their productivity, or because the labor markets (across regions or countries) do not share information efficiently. The prevalence of asymmetric information often leads to statistical discrimination in the labor market. The present chapter captures the peculiarities of such markets with reference to labor market interactions between native employers and immigrant employees who originate in developing and transition countries, largely. The flow of migrants is rather large for the Organisation for Economic Co-operation and Development (OECD) countries, but the analytical dimensions of this model and the subsequent discussions should find ready relevance for rural–urban migration and south–south migration of skilled and unskilled workers also. The occupational patterns evolving in such labor markets provide some interesting results. The analytical results are supported by a large number of numerical examples and graphical depictions describing the patterns of income growth and variance across groups of native and immigrant workers. The results also help to explain the preponderance of entrepreneurial or self-employment activities for certain groups.
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Notes
- 1.
Capital market imperfections and its effects have earlier been explored in detail in de Meza and Webb (1987). Cressy (1996) however, demonstrates that firms self-select financing from banks, instead of banks selecting them. According to this paper, correlation between firm survival and financial capital is spurious. If firms have greater human capital, they are more likely to accept bank’s offer. There is no credit rationing for start-ups.
- 2.
See Coles and Treble (1993) for a different approach towards a problem of moral hazard. Firms having assembly lines pay higher agency cost to stop absenteeism and recruit more reliable workers.
- 3.
Exceptions are Appelbaum and Katz (1986) and Kanbur (1979). Appelbaum and Katz assume one industry with identical risk-averse individuals. An alternative for every individual is, however, an outside option, unlike Kanbur (1979) where the entire economy is taken into account.
- 4.
See Casson (1982, p. 199), Birley (1985), Kent et al. (1981), and Balkin (1989, p. 7) for social and family dependence among prospective self-employed individuals.
- 5.
Long (1982) and Evans and Leighton (1987), for example, found that being nonwhite or black reduces probability of self-employment significantly.
- 6.
Goux and Maurin (2000) attribute the drop in unskilled demand in France to technological improvement and lack of demand for industries hiring more unskilled workers.
- 7.
These estimates were based on Census of Population Survey (CPS) March 1987.
- 8.
We assume that “ɑ” is exogenously determined.
- 9.
This is a linearity assumption.
- 10.
The choice of values above is arbitrary in our model. In fact, such values represent per hour wage rate for skilled or unskilled individuals, their share in the population, and per dollar returns from risky activities taken up. Although per hour wages are available, statistics on constant and random returns from every dollar invested in a project with some risk is not available in the literature. Our assumptions reflect what might be expected in the real world, if such activities are pursued.
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Appendices
Appendix 3A
Proofs:
We show here that if \({{\left| \frac{\delta r_{S}^{*}}{\delta r_{U}^{*}}\right|}_{S}}-{{\left| \frac{\delta r_{S}^{*}}{\delta r_{U}^{*}}\right|}_{UN}}>0\), then S and UN converge .
From Eq. (3.9),
and from Eq. (3.13),
We find two implicit solutions from the above two equations to show that the curves depicting S and UN converge if and only if \({{\left| \frac{\delta r_{S}^{*}}{\delta r_{U}^{*}}\right|}_{S}}>{{\left| \frac{\delta r_{S}^{*}}{\delta r_{U}^{*}}\right|}_{UN}}\).
Accordingly, from (3.23),
where \({\rm K} = \alpha (1 - r_S^*) + (1 - \alpha )(1 - r_U^*)\)
Again, from (3.24),
where \({\rm H}' = {(y + \delta 1 + z1)^{2 - r_U^*}} - {(y + \delta 1 - z1)^{2 - r_U^*}}\)
Therefore,
In this case, \({\rm H}> {\rm H}'\), \({{\Lambda }^{r_{S}^{*}}}>{{\Lambda }^{r_{U}^{*}}}\), z > z1, \((1-r_{S}^{*})<(1-r_{U}^{*})\), x > y, and \({{(2-r_{S}^{*})}^{2}}<{{(2-r_{U}^{*})}^{2}}\).
Based on these relations, the above condition as in (2.27) is satisfied. This leads to the convergence of the two curves depicted by S and UN in (Fig. 3.9) QED.
Appendix 3B
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Kar, S., Datta, D. (2015). Asymmetric Information in the Labor Market. In: Industrial and Labor Economics. India Studies in Business and Economics, vol 25. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2017-6_3
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