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I use data from employers and longitudinal data from former/current recipients covering the period 1997 to early 2004 to analyze the relationship between job skills, job changes, and the evolution of wages. I analyze the effects of job skill requirements on starting wages, on-the-job training opportunities, wage growth prospects, and job turnover. The results show that jobs of different skill requirements differ in their prospects for earnings growth, independent of the workers who fill these jobs. Furthermore, these differences in wage growth opportunities across jobs are important determinants of workers’ quit propensities (explicitly controlling for unobserved worker heterogeneity). The determinants and consequences of job dynamics are investigated. The results using a multiplicity of methods, including the estimation of a multinomial endogenous switching model of wage growth, show that job changes, continuity of work involvement, and the use of cognitive skills are all critical components of the content of work experience that leads to upward mobility. The results underscore the sensitivity of recipients’ job transition patterns to changes in labor market demand conditions.

This paper presents new evidence on the effects of the minimum wage using Brazilian monthly household and firm panel data between 1982 and 2000. By examining the effects on wages, employment and prices together we are able to provide an explanation for the small employment effects prevalent in the literature. Our principal finding is that increasing the minimum wage raises wages and prices with small adverse employment effects. This suggests a general wage-price inflationary spiral, where persistent inflation offsets some of the wage gains. The main policy implication deriving from these results is that the potential of the minimum wage for the policy maker as a tool to help the poor is bigger under low inflation. Under high inflation, the resulting wage-price spiral makes the minimum wage increase – as well as its antipoverty policy potential – short lived. In this case, the wage effects are volatile and the permanent scars are lower employment and higher inflation in Brazil.

A number of earlier studies have examined whether extensive labour market programmes (ALMPs) contribute to upward wage pressure in the Swedish economy. Most studies on aggregate data have concluded that they actually do. In this paper we look at this issue using more recent data to check whether the extreme conditions in the Swedish labour market in the 1990s and the concomitant high levels of ALMP participation have brought about a change in the previously observed patterns. We also look at the issue using three different estimation methods to check the robustness of the results. Our main finding is that, according to most estimates, ALMPs do not seem to contribute significantly to an increased wage pressure.

Numerous studies have concluded that immigration has very small effects on wages or unemployment, even when the immigration flow is very large. Three reasons suggested for this are that immigration: (1) is not supply-push, but may instead be driven by demand-pull factors; (2) is likely to cause some out-migration; and (3) may induce flows of other factors across the economy. Surprisingly, few studies consider another obvious explanation: immigrant workers also consume locally, which means immigration stimulates the local demand for labor. Previous researchers have generally ignored the measurement of immigration's effects on labor demand, perhaps because when immigration, out-migration, and immigrant consumption occur simultaneously in the same labor market, it is very difficult to isolate immigration's effect on labor demand. This paper measures the labor demand-augmenting effects of immigration using a two-sector model of a very special case in which the receiving economy consists of: (a) an export industry employing both immigrants and natives; and (b) a retail industry employing native labor that is driven by local demand. The model can incorporate both supply-push and demand-pull immigration as well as out-migration. The model's important implication is that since immigration is exogenous to the retail sector, an unbiased estimate of the demand effect of immigration can be obtained without having to use instrumental variables estimation or other statistical procedures that may introduce new sources of bias. Fortunately, the economy in our model matches a very convenient test case: Dawson County, Nebraska. Dawson County recently experienced a surge in demand-pull immigration due to the location of a large export-driven meatpacking plant. This exogenous capital shock pulled in many Hispanic immigrant workers, who did not immediately seek work in the retail sector because of social and language barriers. This immigration led to higher retail wages and housing prices, confirming that immigration is capable of exerting significant effects on local labor demand.

Much of the recent debate on the minimum wage has focused on its employment implications. The theory of human capital suggests that minimum wages should also have important adverse effects on human capital accumulation. In the standard human capital theory, as developed by Becker (1964), Ben-Porath (1967), and Mincer (1974), a large part of human capital is accumulated on the job, and workers often finance these investments through lower wages. A binding minimum wage will therefore reduce workplace training, as it prevents low wage workers from accepting the necessary wage cuts (Rosen, 1972). The early empirical literature has confirmed this prediction. The negative impact on human capital formation has been an important argument against minimum wages in the minds of many economists and policy-makers, and an important piece of evidence in support of the standard theory of human capital.

This paper uses two complementary approaches to estimate the effect of right-to-work (RTW) laws on wages and unionization rates. The first approach uses an event study design to analyze the impact of the adoption of RTW laws in five US states since 2011. The second approach relies on a differential exposure design that exploits the differential impact of RTW laws on industries with high unionization rates relative to industries with low unionization rates. Both approaches indicate that RTW laws lower wages and unionization rates. Under the assumption that RTW laws only affect wages by lowering the unionization rate, RTW can be used as an instrumental variable (IV) to estimate the causal effect of unions on wages. In our preferred specification based on the differential exposure design, the IV estimate of the effect of unions on log wages is 0.35, which substantially exceeds the corresponding OLS estimate of 0.16. This large wage effect suggests that RTW may also directly affect wages due to a reduced union threat effect.

The minimum wage has been regarded as an important element of public policy for reducing poverty and inequality. Increasing the minimum wage is supposed to raise earnings for millions of low-wage workers and therefore lower earnings inequality. However, there is no consensus in the existing literature from industrialized countries regarding whether increasing the minimum wage has helped lower earnings inequality. China has recently exhibited rapid economic growth and widening earnings inequality. Since China promulgated new minimum wage regulations in 2004, the magnitude and frequency of changes in the minimum wage have been substantial, both over time and across jurisdictions. The growing importance of research on the relationship between the minimum wage and earnings inequality and its controversial nature have sparked heated debate in China, highlighting the importance of rigorous research to inform evidence-based policy making. We investigate the contribution of the minimum wage to the well-documented rise in earnings inequality in China from 2004 to 2009 by using city-level minimum wage panel data and a representative Chinese household survey, and we find that increasing the minimum wage reduces inequality – by decreasing the earnings gap between the median and the bottom decile – over the analysis period.

This study presents estimates of the effect of changes in the real minimum wage on the employment ratio of three groups believed to be most vulnerable to changes in the minimum wage: teenagers, young adults, and adult high-school dropouts. It also examines the effect of the minimum wage on three sub-groups within each of these larger groups: males, females, and nonwhites. The data set was obtained from the monthly outgoing rotation groups of the Current Population Survey (CPS), Three Budgets for Urban Families, and the CPI-W for various urban areas. The sample period is 1979–1999.