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Middle East and Central Asia > Qatar

You are looking at 1 - 10 of 10 items for :

  • Type: Journal Issue x
  • Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity x
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Cover IMF Working Papers
The Labor Market Impact of Artificial Intelligence: Evidence from US Regions
Yueling Huang
This paper empirically investigates the impact of Artificial Intelligence (AI) on employment. Exploiting variation in AI adoption across US commuting zones using a shift-share approach, I find that during 2010-2021, commuting zones with higher AI adoption have experienced a stronger decline in the employment-to-population ratio. Moreover, this negative employment effect is primarily borne by the manufacturing and lowskill services sectors, middle-skill workers, non-STEM occupations, and individuals at the two ends of the age distribution. The adverse impact is also more pronounced on men than women.
Keywords:
Artificial intelligence; technology; labor; local labor markets; shift share; middle-skill worker; labor market impact; impact of artificial intelligence; employment effect; low-skill services sectors; Employment; Employment rate; Labor markets; Global
Cover IMF Working Papers
The Green Future: Labor Market Implications for Men and Women
Naomi-Rose Alexander
,
Longji Li
,
Jorge Mondragon
,
Sahar Priano
, and
Marina Mendes Tavares
This study examines the green transition's effects on labor markets using a task-based framework to identify jobs with tasks that contribute, or with the potential to contribute, to the green transition. Analyzing data from Brazil, Colombia, South Africa, the United Kingdom, and the United States, we find that the proportion of workers in green jobs is similar across AEs and EMs, albeit with distinct occupational patterns: AE green job holders typically have higher education levels, whereas in EMs, they tend to have lower education levels. Despite these disparities, the distribution of green jobs across genders is similar across countries, with men occupying over two-thirds of these positions. Furthermore, green jobs are characterized by a wage premium and a narrower gender pay gap. Our research further studies the implications of AI for the expansion of green employment opportunities. This research advances our understanding of the interplay between green jobs, gender equity, and AI and provides valuable insights for promoting a more inclusive green transition.
Keywords:
Labor Market Transition; Climate Change; Employment; narrower gender pay gap; wage premium; job holder; employment share; Gender inequality; Artificial intelligence; Women; Global
Cover IMF Working Papers
Exposure to Artificial Intelligence and Occupational Mobility: A Cross-Country Analysis
Mauro Cazzaniga
,
Carlo Pizzinelli
,
Emma J Rockall
, and
Marina Mendes Tavares
We document historical patterns of workers' transitions across occupations and over the life-cycle for different levels of exposure and complementarity to Artificial Intelligence (AI) in Brazil and the UK. In both countries, college-educated workers frequently move from high-exposure, low-complementarity occupations (those more likely to be negatively affected by AI) to high-exposure, high-complementarity ones (those more likely to be positively affected by AI). This transition is especially common for young college-educated workers and is associated with an increase in average salaries. Young highly educated workers thus represent the demographic group for which AI-driven structural change could most expand opportunities for career progression but also highly disrupt entry into the labor market by removing stepping-stone jobs. These patterns of “upward” labor market transitions for college-educated workers look broadly alike in the UK and Brazil, suggesting that the impact of AI adoption on the highly educated labor force could be similar across advanced economies and emerging markets. Meanwhile, non-college workers in Brazil face markedly higher chances of moving from better-paid high-exposure and low-complementarity occupations to low-exposure ones, suggesting a higher risk of income loss if AI were to reduce labor demand for the former type of jobs.
Keywords:
Artificial intelligence; Employment; Occupations; Emerging Markets; AI adoption; college-educated worker; structural change; stepping-stone job; workers in Brazil; Labor markets; Wages; Labor force
Cover Staff Discussion Notes
Gen-AI: Artificial Intelligence and the Future of Work
Mauro Cazzaniga
,
Florence Jaumotte
,
Longji Li
,
Giovanni Melina
,
Augustus J Panton
,
Carlo Pizzinelli
,
Emma J Rockall
, and
Marina Mendes Tavares
Artificial Intelligence (AI) has the potential to reshape the global economy, especially in the realm of labor markets. Advanced economies will experience the benefits and pitfalls of AI sooner than emerging market and developing economies, largely due to their employment structure focused on cognitive-intensive roles. There are some consistent patterns concerning AI exposure, with women and college-educated individuals more exposed but also better poised to reap AI benefits, and older workers potentially less able to adapt to the new technology. Labor income inequality may increase if the complementarity between AI and high-income workers is strong, while capital returns will increase wealth inequality. However, if productivity gains are sufficiently large, income levels could surge for most workers. In this evolving landscape, advanced economies and more developed emerging markets need to focus on upgrading regulatory frameworks and supporting labor reallocation, while safeguarding those adversely affected. Emerging market and developing economies should prioritize developing digital infrastructure and digital skills
Keywords:
Artificial Intelligence; Labor Market; Job Displacement; Income Inequality; Advanced Economies; Emerging Market Economies; Low-Income Developing Countries; AI preparedness index; AI benefit; AI exposure; ICT employment share; AI adoption; Emerging and frontier financial markets; Income; Global; Africa
Cover IMF Working Papers
Labor Market Exposure to AI: Cross-country Differences and Distributional Implications
Carlo Pizzinelli
,
Augustus J Panton
,
Ms. Marina Mendes Tavares
,
Mauro Cazzaniga
, and
Longji Li
This paper examines the impact of Artificial Intelligence (AI) on labor markets in both Advanced Economies (AEs) and Emerging Markets (EMs). We propose an extension to a standard measure of AI exposure, accounting for AI's potential as either a complement or a substitute for labor, where complementarity reflects lower risks of job displacement. We analyze worker-level microdata from 2 AEs (US and UK) and 4 EMs (Brazil, Colombia, India, and South Africa), revealing substantial variations in unadjusted AI exposure across countries. AEs face higher exposure than EMs due to a higher employment share in professional and managerial occupations. However, when accounting for potential complementarity, differences in exposure across countries are more muted. Within countries, common patterns emerge in AEs and EMs. Women and highly educated workers face greater occupational exposure to AI, at both high and low complementarity. Workers in the upper tail of the earnings distribution are more likely to be in occupations with high exposure but also high potential complementarity.
Keywords:
Artificial intelligence; Employment; Occupations; Emerging Markets; impact of artificial intelligence; exposure to AI; labor market exposure; employment share; educated worker; Labor markets
Cover IMF Working Papers
Comparing the Employment-Output Elasticities of Expatriates and Nationals in the Gulf Cooperation Council
Mr. Alberto Behar
We estimate the elasticity of private-sector employment to non-oil GDP in the Gulf Cooperation Council (GCC) for GCC nationals and expatriates using a Seemingly Unrelated Error Correction (SUREC) model. Our results indicate that the employment response is lower for nationals, who have an estimated short-run elasticity of only 0.15 and a long-run response of 0.7 or less. The elasticity is almost unity for expatriates in the long run and 0.35 in the short run. We interpret low elasticities as indirect evidence of labor market adjustment costs, which could include hiring and firing rigidities, skills mismatches, and reluctance to accept private sector jobs. Forecasts suggest that, absent measures to reduce adjustment costs, the private sector will only be able to absorb a small portion of nationals entering the labor force.
Keywords:
WP; labor market; Employment Elasticities; Labor Market Adjustment Costs; GCC; Gulf Cooperation Council; Inclusive Growth; GCC country; employment growth; GCC employment; GCC labor market structure; employment response; growth forecast; employment elasticity; GCC elasticity; employment projection; employment-growth relationship; employment rigidity; GCC aggregate; Employment; Labor markets; Public employment; Labor force; Public sector; Middle East; Middle East and Central Asia; North Africa; East Africa; Global
Cover IMF Working Papers
Does Public-Sector Employment Fully Crowd Out Private-Sector Employment?
Mr. Alberto Behar
and
Mr. Junghwan Mok
We quantify the extent to which public-sector employment crowds out private-sector employment using specially assembled datasets for a large cross-section of developing and advanced countries, and discuss the implications for countries in the Middle East, North Africa, Caucasus and Central Asia. These countries simultaneously display high unemployment rates, low private-sector employment rates and high proportions of government-sector employment. Regressions of either private-sector employment rates or unemployment rates on two measures of public-sector employment point to full crowding out. This means that high rates of public employment, which incur substantial fiscal costs, have a large negative impact on private employment rates and do not reduce overall unemployment rates.
Keywords:
WP; private sector; private-sector employment; Employment; Crowding out; Middle East and Central Asia; employment rate; crowding-out effect; C. private-sector employment; employment dataset; MENAP country; outcomes in the MCD; MCD country; employment equation; MCD countries' employment data; CCA country; labor force; Public employment; Employment rate; Government debt management; Unemployment; Middle East
Cover Departmental Papers
Gulf Cooperation Council Countries (GCC): Enhancing Economic Outcomes in an Uncertain Global Economy
Samya Beidas-Strom
,
Mr. Tobias N. Rasmussen
, and
Mr. David Robinson
Departmental papers are usually focused on a specific economic topic, country, or region. They are prepared in a timely way to support the outreach needs of the IMF’s area and functional departments.
Keywords:
DPPP; DP; GCC country; real GDP; financial crisis; monetary policy; fiscal policy; Consumption; Oil prices; Credit default swap; Employment; Global; Asia and Pacific; Middle East
Cover IMF Working Papers
Emerging Strains in GCC Labor Markets
Mr. Ugo Fasano-Filho
and
Rishi Goyal
Unemployment pressures among nationals are emerging in the Cooperation Council for the Arab States of the Gulf (GCC). 2 At a time when a rapidly growing number of young nationals are entering the labor force and governments are no longer able to act as employers of first and last resort, the non-oil sector continues to rely on expatriate labor to meet its labor requirements in most GCC countries. In this environment, policymakers face the related challenges of addressing unemployment pressures while striking a balance between maintaining a liberal foreign labor policy and a reasonable level of competitiveness of the non-oil sector. Using a matching function framework, this paper examines labor market policies that are likely to expand the ability to hire nationals in the non-oil sector. It finds that an effective labor strategy should focus on strengthening investment in human capital, adopting institutional reforms, and promoting a vibrant non-oil economy.
Keywords:
WP; wage; private sector; GCC country; GCC countries; labor market policies; matching function framework; unemployment rate; reservation wage; wage bill; wage expectation; Labor markets; Wages; Employment; Labor force; Unemployment; Europe; Asia and Pacific
Cover GCC Countries
GCC Countries
From Oil Dependence to Diversification
Mr. Zubair Iqbal
and
Mr. Ugo Fasano-Filho

Abstract

This paper presents an overview of the unprecedented economic and social transformation witnessed by the member countries of the Cooperation Council of the Arab States of the Gulf (GCC)-Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates-over the last three decades.

Keywords:
MISC PUBS; Misc.; GCC country; GCC; country; state enterprise; government; GCC economy; GCC population; GCC countries' effort; GCC area; state enterprise reform; GCC member states; GCC workforce; Labor force; Employment; Privatization; Labor markets; Stock markets; Global