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Despite significant headwinds from population aging in most advanced economies (AEs), labor force participation rates show remarkably divergent trajectories both across countries and across different groups of workers. Participation increased sharply among prime-age women and, more recently, older workers, but fell among the young and prime-age men. This pa- per investigates the determinants of these trends using aggregate and individual-level data. We find that the bulk of the dramatic increase in the labor force attachment of prime-age women and older workers in the past three decades can be explained by changes in labor mar- ket policies and institutions, structural transformation, and gains in educational attainment. Technological advances such as automation, on the other hand, weighed on the labor supply of prime-age and older workers. In light of the dramatic demographic shifts expected in the coming decades in many AEs, our fndings underscore the need to invest in education and training, reform the tax system, reduce early retirement incentives, improve the job-matching process, and help individuals combine family and work life in order to alleviate the pressures from aging on labor supply.
Labor market deregulation, intended to boost productivity and employment, is one plausible, yet little studied, driver of the decline in labor shares that took place across most advanced economies since the early 1990s. This paper assesses the impact of job protection deregulation in a sample of 26 advanced economies over the period 1970-2015, using a newly constructed dataset of major reforms to employment protection legislation for regular contracts. We apply the local projection method to estimate the dynamic response of the labor share to our reform events at both the country and the country-industry levels. For the latter, we employ a differences-in-differences identification strategy using two identifying assumptions grounded in theory—namely that job protection deregulation should have larger negative effects in industries characterized by (i) a higher “natural” propensity to adjust the workforce, and (ii) a lower elasticity of substitution between capital and labor. We find a statistically significant, economically large and robust negative effect of deregulation on the labor share. In particular, illustrative back-of-the-envelope calculations suggest that job protection deregulation may have contributed about 15 percent to the average labor share decline in advanced economies. Together with existing evidence regarding the macroeconomic gains from job protection and other labor market reforms, our results also point to the need for policymakers to address efficiency-equity trade-offs when designing such reforms.
This paper examines the role of structural fiscal policies to promote female labor force participation and reduce gender gaps in labor markets in 26 OECD countries from 2000 to 2019. As both female labor force participation and many explanatory/control variables clearly exhibit non-stationarity (potentially leading to spurious regression results), we employ a panel vector error-correction model, in contrast with most previous empirical studies on this matter. Our analyses confirm statistically significant positive impacts of government spending on (1) early childcare and education, (2) active labor market programs, and (3) unemployment benefits, all of which would help encourage women to enter the labor force, while (4) an increase in relative tax rate on second earner could have negative impact on female labor force participation.
Reducing transport sector emissions is an important pillar of the green transition. However, the transition to electric vehicles (EV) portends major changes in vehicle manufacturing activity, on which many livelihoods in Europe depend. Using the heterogeneity across European countries in the speed of transition to EV production and variation in sectoral and regional exposure to the automotive sector, this paper offers early evidence of the labor market implications of the EV transition. Our results suggest that the transformation of the auto sector is already having an adverse impact on employment in the affected sectors and regions, which can be expected to grow at least in the near term. Many of the affected workers will be able to retire and our analysis suggests that those who will have to transition to new “greener” jobs have a fair chance to do so when compared to other workers in the manufacturing sector. Furthermore, we find evidence that active labor market policies, specifically training, can help to reduce the adjustment costs for the affected workers.
Despite the increase in female labor force participation over the past three decades, women still do not have the same opportunities as men to participate in economic activities in most countries. The average female labor force participation rate across countries is still 20 percentage points lower than the male rate, and gender gaps in wages and access to education persist. As shown by earlier work, including by the IMF, greater gender equality boosts economic growth and leads to better development and social outcomes. Gender equality is also one of the 17 United Nations Sustainable Development Goals that 193 countries committed to achieve by 2030.
Hours worked vary widely across countries and over time. In this paper, we investigate the role played by taxation in explaining these differences for EU New Member States. By extending a standard growth model with novel data on consumption and labor taxes, we assess the evolution of trends in hours worked over the 1995-2017 period. We find that the inclusion of tax rates in the model significantly improves the tracking of hours. We also estimate the elasticity of hours (and its different margins) to quantify the deadweight loss introduced by consumption and labor taxes. We find that these taxes explain a large share of labor supply differences across EU New Member States and that the potential gains from policy actions are noteworthy.
This Selected Issues paper on the Republic of Armenia seeks to quantify the macroeconomic impact of the government’s reform agenda, which covers three broad areas: tax policy and pension; governance, government efficiency, and corruption; and labor market and competition. Strengthening growth and competitiveness and addressing governance problems requires comprehensive reform efforts. The new government has made it clear that fighting corruption and improving governance remain top priorities. Measures have been proposed to enhance corporate transparency, including through accounting and auditing reforms. A more systematic support program for small and medium-sized enterprises, along with labor market reforms, should also help alleviate unemployment difficulties. The simulations suggest that the government’s tax policy reform can have a positive impact on output in the medium run if it is accompanied by supporting measures. The results suggest that a full implementation of the reform package would yield substantial benefits for the economy. In particular, it could increase real GDP by as much as 7 percent over the long run.
New technologies?digitalization, artificial intelligence, and machine learning?are changing the way work gets done at an unprecedented rate. Helping people adapt to a fast-changing world of work and ameliorating its deleterious impacts will be the defining challenge of our time. What are the gender implications of this changing nature of work? How vulnerable are women’s jobs to risk of displacement by technology? What policies are needed to ensure that technological change supports a closing, and not a widening, of gender gaps? This SDN finds that women, on average, perform more routine tasks than men across all sectors and occupations?tasks that are most prone to automation. Given the current state of technology, we estimate that 26 million female jobs in 30 countries (28 OECD member countries, Cyprus, and Singapore) are at a high risk of being displaced by technology (i.e., facing higher than 70 percent likelihood of being automated) within the next two decades. Female workers face a higher risk of automation compared to male workers (11 percent of the female workforce, relative to 9 percent of the male workforce), albeit with significant heterogeneity across sectors and countries. Less well-educated and older female workers (aged 40 and above), as well as those in low-skill clerical, service, and sales positions are disproportionately exposed to automation. Extrapolating our results, we find that around 180 million female jobs are at high risk of being displaced globally. Policies are needed to endow women with required skills; close gender gaps in leadership positions; bridge digital gender divide (as ongoing digital transformation could confer greater flexibility in work, benefiting women); ease transitions for older and low-skilled female workers.
New technologies?digitalization, artificial intelligence, and machine learning?are changing the way work gets done at an unprecedented rate. Helping people adapt to a fast-changing world of work and ameliorating its deleterious impacts will be the defining challenge of our time. What are the gender implications of this changing nature of work? How vulnerable are women’s jobs to risk of displacement by technology? What policies are needed to ensure that technological change supports a closing, and not a widening, of gender gaps? This SDN finds that women, on average, perform more routine tasks than men across all sectors and occupations?tasks that are most prone to automation. Given the current state of technology, we estimate that 26 million female jobs in 30 countries (28 OECD member countries, Cyprus, and Singapore) are at a high risk of being displaced by technology (i.e., facing higher than 70 percent likelihood of being automated) within the next two decades. Female workers face a higher risk of automation compared to male workers (11 percent of the female workforce, relative to 9 percent of the male workforce), albeit with significant heterogeneity across sectors and countries. Less well-educated and older female workers (aged 40 and above), as well as those in low-skill clerical, service, and sales positions are disproportionately exposed to automation. Extrapolating our results, we find that around 180 million female jobs are at high risk of being displaced globally. Policies are needed to endow women with required skills; close gender gaps in leadership positions; bridge digital gender divide (as ongoing digital transformation could confer greater flexibility in work, benefiting women); ease transitions for older and low-skilled female workers.

Mexico

International Monetary Fund. Western Hemisphere Dept.

Published: 2023-11

Total Pages: 36


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Mexico: Selected Issues