Pollution and Labor Market Search Externalities Over the Business Cycle

2020 ◽  
Author(s):  
John Gibson ◽  
Garth Heutel
2012 ◽  
Vol 18 (3) ◽  
pp. 548-572 ◽  
Author(s):  
Kenneth Beauchemin ◽  
Murat Tasci

We construct a multiple-shock, discrete-time version of the Mortensen–Pissarides labor market search model to investigate the basic model's well-known tendency to underpredict the volatility of key labor market variables. In addition to the standard labor productivity shock, we introduce shocks to matching efficiency and job separation. We estimate the multiple-shock model and then simulate its properties. Although it generates significantly more volatility while preserving the Beveridge curve relationship, the multiple-shock model generates counterfactual implications for the cyclicality of job separations. Using a business cycle accounting approach, next we show that the model requires significantly procyclical and volatile matching efficiency and counterfactually procyclical job separations to render the observed data without error. We conjecture that the basic Mortensen–Pissarides model lacks mechanisms to generate sufficiently strong labor market reallocation over the business cycle, and suggest nontrivial labor force participation and job-to-job transitions as promising avenues of research.


2020 ◽  
Author(s):  
Ines Black ◽  
Sharique Hasan ◽  
Rembrand Koning

2019 ◽  
Vol 68 (3) ◽  
pp. 252-260
Author(s):  
Almut Balleer ◽  
Britta Gehrke ◽  
Brigitte Hochmuth ◽  
Christian Merkl

Abstract This article argues that short-time work stabilized employment in Germany substantially during the Great Recession in 2008/09. The labor market instrument acted in timely manner, as it was used in a rule-based fashion. In addition, discretionary extensions were effective due to their interaction with the business cycle. To ensure that short-time work will be effective in the future, this article proposes an automatic facilitation of the access to short-time work in severe recessions. This reduces the likelihood of a too extensive use at the wrong point in time as well as structural instead of cyclical interventions.


2013 ◽  
Vol 14 (3) ◽  
pp. 372-397 ◽  
Author(s):  
Burkhard Heer ◽  
Alfred Maußner

Abstract We review the labor market implications of recent real-business cycle and New Keynesian models that successfully replicate the empirical equity premium. We document the fact that all models reviewed in this article that do not feature either sticky wages or immobile labor between two production sectors as in Boldrin et al. (2001) imply a negative correlation of working hours and output that is not observed empirically. Within the class of Neo-Keynesian models, sticky prices alone are demonstrated to be less successful than rigid nominal wages with respect to the modeling of the labor market stylized facts. In addition, monetary shocks in these models are required to be much more volatile than productivity shocks to match statistics from both the asset and labor market.


Author(s):  
Samuel Muehlemann ◽  
Stefan Wolter

The economic reasons why firms engage in apprenticeship training are twofold. First, apprenticeship training is a potentially cost-effective strategy for filling a firm’s future vacancies, particularly if skilled labor on the external labor market is scarce. Second, apprentices can be cost-effective substitutes for other types of labor in the current production process. As current and expected business and labor market conditions determine a firm’s expected work volume and thus its future demand for skilled labor, they are potentially important drivers of a firm’s training decisions. Empirical studies have found that the business cycle affects apprenticeship markets. However, while the economic magnitude of these effects is moderate on average, there is substantial heterogeneity across countries, even among those that at first sight seem very similar in terms of their apprenticeship systems. Moreover, identification of business cycle effects is a difficult task. First, statistics on apprenticeship markets are often less developed than labor market statistics, making empirical analyses of demand and supply impossible in many cases. In particular, data about unfilled apprenticeship vacancies and unsuccessful applicants are paramount for assessing potential market failures and analyzing the extent to which business cycle fluctuations may amplify imbalances in apprenticeship markets. Second, the intensity of business cycle effects on apprenticeship markets is not completely exogenous, as governments typically undertake a variety of measures, which differ across countries and may change over time, to reduce the adverse effects of economic downturns on apprenticeship markets. During the economic crisis related to the COVID-19 global pandemic, many countries took unprecedented actions to support their economies in general and reacted swiftly to introduce measures such as the provision of financial subsidies for training firms or the establishment of apprenticeship task forces. As statistics on apprenticeship markets improve over time, such heterogeneity in policy measures should be exploited to improve our understanding of the business cycle and its relationship with apprenticeships.


Sign in / Sign up

Export Citation Format

Share Document