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Employment Bonuses and Labor Turnover

Journal of Labor Economics 1987 5(4, Part 2), S124-S135
The purpose of this paper is to illustrate how a two-part compensation system composed of a rigid base salary and a flexible bonus can reduce turnover. It is shown that bonus pay is an effective retention device if it is risk reducing and is correlated with outside contract offers. For the first time, to the best of our knowledge, a model of bonus payments is tested with U.S. instead of Japanese data. The empirical results are suggestive of the conditions that give bonuses an important, even dominant, role in worker retention.

Collective Bargaining and Union Membership Effects on the Wages of Male Youths

Journal of Labor Economics 1986 4(2), 193-211
The objective of this paper is to demonstrate that the nonunion wage differential consists of two effects. The first represents the differential between the wage of a nonunion worker in a collective bargaining unit and the wage paid to a comparable worker not covered by a bargaining agreement. This effect arises from the monopoly power of organized labor. The second is the wage differential between union and nonunion workers in collective bargaining units. This latter effect is attributed to economic benefits that unionism brings to its members. Empirical evidence is presented in support of both effects.

Employer Tax Evasion in the Unemployment Insurance Program

Journal of Labor Economics 1996 14(2), 210-230
We use unique data to analyze employer tax compliance with Unemployment Insurance (UI) provisions. The data indicate that employers may have underreported $728 million of UI taxes nationally in 1987 alone. To formally examine this noncompliance, a theoretical model of payroll tax evasion is developed showing that increasing payroll tax rates, among other things, likely increases noncompliance by risk-neutral firms. This prediction is empirically verified. The finding that UI tax evasion is systematically related to various firm characteristics suggests that UI audits may be effectively targeted by statistical profiles derived from our model, thereby improving compliance.