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Middle East and Central Asia > Qatar

You are looking at 1 - 3 of 3 items for :

  • Type: Journal Issue x
  • Mobility, Unemployment, and Vacancies: General 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
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 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