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This paper discusses non-employment margins through which firms may respond to minimum wage increases. Margins of interest include evasion, output prices, noncash compensation, job attributes including effort requirements, the firm's mix of low- and high-skilled labor, and the firm's mix of labor and capital. I discuss the basic theory behind each margin's potential importance as well as findings from empirical research on their real-world relevance. Additionally, I present a set of pedagogical diagrams that show how supply and demand analyses of labor markets can be extended to bring additional nuances of real-world markets into the classroom.

In the late 1990s and into the early 2000s, Germany was often called “the sick man of Europe.” Indeed, Germany's economic growth averaged only about 1.2 percent per year from 1998 to 2005, including a recession in 2003, and unemployment rates rose from 9.2 percent in 1998 to 11.1 percent in 2005. Today, after the Great Recession, Germany is described as an “economic superstar.” In contrast to most of its European neighbors and the United States, Germany experienced almost no increase in unemployment during the Great Recession, despite a sharp decline in GDP in 2008 and 2009. Germany's exports reached an all-time record of $1.738 trillion in 2011, which is roughly equal to half of Germany's GDP, or 7.7 percent of world exports. Even the euro crisis seems not to have been able to stop Germany's strengthening economy and employment. How did Germany, with the fourth-largest GDP in the world transform itself from “the sick man of Europe” to an “economic superstar” in less than a decade? We present evidence that the specific governance structure of the German labor market institutions allowed them to react flexibly in a time of extraordinary economic circumstances, and that this distinctive characteristic of its labor market institutions has been the main reason for Germany's economic success over the last decade.

The large regional variation in minimum wage levels during the period 2002–8 in China implies that Chinese manufacturing firms experienced competitive shocks as a function of firm location and their low-wage employment share. We find that minimum wage hikes accelerate the input substitution from labour to capital, reduce employment growth and accelerate total factor productivity growth—particularly among the less productive firms under private Chinese or foreign ownership, but not among state-owned enterprises. The heterogeneous firm response to labour cost shocks can be explained by differences in management practices and suggests that management quality and competitive pressure are complementary.

Job protection and cash benefits are key elements of parental leave (PL) systems. We study how these two policy instruments affect return-to-work and medium-run labour market outcomes of mothers of newborn children. Analysing a series of major PL policy changes in Austria, we find that longer cash benefits lead to a significant delay in return-to-work, particularly so in the period that is job-protected. Prolonged parental leave absence induced by these policy changes does not appear to hurt mothers' labour market outcomes in the medium run. We build a non-stationary model of job search after childbirth to isolate the role of the two policy instruments. The model matches return-to-work and return to same employer profiles under the various factual policy configurations. Counterfactual policy simulations indicate that a system that combines cash with protection dominates other systems in generating time for care immediately after birth while maintaining mothers' medium-run labour market attachment.

The authors present the first evidence on the consequences of the new statutory minimum wage in Germany, which was implemented on January 1, 2015. Using the IAB Establishment Panel, they identify employment effects from variation in the extent that establishments are affected by the minimum wage. A difference-in-differences estimation reveals an increase in average wages between 3.8% and 6.3% and an employment loss by approximately 1.7% in establishments affected by the minimum wage. These estimates imply a labor demand elasticity with respect to wages ranging between –0.2 and –0.4. The authors also observe a transitory reduction of the working hours in the first year after the introduction and that the employment effect seems mostly driven by a reduction in hires rather than by an increase in layoffs.

This article studies the effects of state minimum wage increase on information technology (IT) adoption at the establishment level in the United States. Our results show that treatment establishments on average allocate between $10,328 and $66,808 more per year to their IT budgets during the first 3 years after experiencing significant state minimum wage increases. Additional evidence shows that state minimum wage increases on average lead to an economically small decrease in employment. The estimated employment effect is larger for establishments that have more incentives to automate labor. Our results suggest that establishments adopt technology to countervail increased labor costs.

This study investigates the influence of managerial incentives to meet or beat the zero earnings benchmark on labor cost behavior of private Belgian firms. We posit that relative to managers of firms reporting healthy profits, managers meeting or beating the zero earnings benchmark will increase labor costs to a smaller extent when activity increases and decrease labor costs to a larger extent when activity decreases. This should take the form of more symmetric labor cost behavior for firms that report a small profit. Our findings are consistent with this prediction. Using detailed employee data, we show that managers of firms reporting a small profit focus on firing employees who are relatively low cost to fire. To protect their reputation in the labor market, managers of other firms, particularly those reporting healthy profits, limit the numbers of dismissals and react to activity changes by changing the number of hours that employees work.

This study examines how a labor cost shock affects firms’ research and development (R&D) activity, focusing on the heterogeneous effect across firm size. Using the difference-in-differences approach, we investigate the R&D effect of Labor Contract Law (LCL) on firms in China. Empirical evidence reveals that, when considering the law binding issue, strict enforcement of the LCL has a negative treatment effect on treated firms’ R&D expenditure, which was reduced by 3.03%–6.75% on average, but it did not affect their likelihood of engaging in R&D. Crucially, the LCL’s R&D effect varies greatly by firm size. There is a positive treatment effect for large and medium-sized firms, whereas small treated firms reduce R&D in response to the labor cost shock. These heterogeneous effects apply to R&D propensity across firm size. The potential mechanisms for mitigating the LCL’s cost impact are discussed. Robustness checks reaffirm the above findings.Plain English SummaryThe purpose of this paper is to question that does a stringent labor regulation hamper or facilitate firms’ R&D activity in China? Whether this R&D effect of labor regulation differs across large, medium, and small firms. We examine these questions by drawing on the discussions about labor regulation, firm size, and R&D in literature. Subsequently, the difference-in-differences approach is adopted to conduct empirical estimations, with a panel dataset drawn from Chinese Annual Survey of Industrial Firms. We find that strict enforcement of the Labor Contract Law executes a negative treatment effect on treated firms’ R&D expenditure, but not for their likelihood of engaging in R&D. Crucially, this R&D effect is a positive for large and medium-sized enterprises, but negative for small firms. Thus, the principal implication of this study is that small firms are disadvantageous in innovation activity under labor cost shocks. Small firms should consider feasible strategies to promote productivity in response to changes in the external environment.

Assumed benefits from improved reputation are often used as motives to drive corporate social responsibility (CSR) initiatives. Are improved cost efficiencies among these reputation benefits? Cost efficiencies and cost management have become more relevant as revenue streams dry up in these tough economic times. Can a good reputation aid these efforts to develop cost efficiencies specifically when managing labor costs? Prior research hypothesizes that good reputation can create labor productivity and efficiency benefits. The purpose of this study is to empirically investigate reputation's relationship with labor efficiency, labor productivity, and labor cost. Using a sample of highly reputable firms from Fortune's America's Most Admired Companies list and a corresponding matched sample of firms, we find that reputation is associated with improved labor efficiency and labor productivity. However, we do not find a significant association between reputation and reduced labor costs. Our study contributes to current research hypothesizing and finding efficiency benefits associated with good reputation. Documenting these potential reputation benefits has important implications for CSR activities and initiatives. It supports recent work that incorporates reputation into a more developed model of the relationship between CSR and performance (Vilanova et al.: 2009, Journal of Business Ethics 87, 57-69). This work is useful to businesses and supports strategies focused on \"doing well by doing good\" and maintaining healthy reputations.

Many restaurants have recently implemented self-order technologies across both online and offline channels. Online technology, through websites and mobile apps, allows customers to order and pay before coming to the store; offline technology, such as self-service kiosks, allows store customers to place orders without interacting with a human employee. In this paper, we develop a stylized theoretical model to study the impact of self-order technologies on customer demand, employment levels, and restaurant profits. Our main results follow. First, customers using self-order technologies experience reduced waiting cost and increased demand, and moreover, these benefits may even carry over to customers who do not use these technologies. Second, although public opinion suggests that self-order technologies facilitate job cuts, we find instead that some firms should increase employment levels, and, paradoxically, this recommendation holds for firms with high labor costs. Finally, we find that firms should implement online (offline) self-order technology when customers have high (low) wait sensitivity. The supplementary appendix is available at https://doi.org/10.1287/mnsc.2017.2787 . This paper was accepted by Serguei Netessine, operations management.