Does Public-Sector Employment Fully Crowd Out Private-Sector Employment?

Behar, Alberto; Mok, Junghwan

doi:10.5089/9781484329412.001

Cited by 23 publications

(12 citation statements)

References 17 publications

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“…In several countries in the Arab Gulf, government jobs have been an industry of choice for young adults (Behar & Mok, 2013;World Bank, 2013). Young people with adequate resources will wait for public sector jobs to open, rather than taking a job in the private sector, given the differentially high pay offered in public sector jobs and the corresponding low expected productivity (World Bank, 2013;Bunglawala, 2011;Stasz, Eide, & Martorell, 2008;Shediac & Samman, 2010).…”

Section: Introductionmentioning

confidence: 99%

Factors Shaping Qatari Students’ Career Expectations in STEM, Business or Public Sector Fields

Sellami

Kimmel

Wittrock

et al. 2017

EURASIA J MATH SCI T

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The purpose of this study was to identify factors shaping career expectations of Qatari students. The study examined individual and motivational variables likely to influence career expectations in STEM fields, the public sector, and business. This study used survey data of 802 Qatari students and 543 parents from the 2012 Qatar Education Study. The results suggest a varied, context-dependent portrait of career expectations. The results indicate that the education system in Qatar influenced students' STEM career expectations and demonstrate that operating a private business or seeking a job in the public sector continues to rival their expectations about STEM careers in Qatar. The paper concludes with some important implications for policy as well as recommendations for further study and research.

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Section: Introductionmentioning

confidence: 99%

Factors Shaping Qatari Students’ Career Expectations in STEM, Business or Public Sector Fields

Sellami

Kimmel

Wittrock

et al. 2017

EURASIA J MATH SCI T

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“…Behar and Mok [2013] report that, on average for 194 countries, public sector employment accounts for 15% of total employment. Besides hiring a large fraction of the labor force, there is a bias towards skilled workers, equally common in both advanced and developing economies.…”

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confidence: 99%

Human capital and the size distribution of firms

Gomes

Kuehn

2017

Review of Economic Dynamics

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. www.econstor.eu The Institute for the Study of Labor (IZA) in Bonn is a local and virtual international research center and a place of communication between science, politics and business. IZA is an independent nonprofit organization supported by Deutsche Post Foundation. The center is associated with the University of Bonn and offers a stimulating research environment through its international network, workshops and conferences, data service, project support, research visits and doctoral program. IZA engages in (i) original and internationally competitive research in all fields of labor economics, (ii) development of policy concepts, and (iii) dissemination of research results and concepts to the interested public. Terms of use: Documents in D I S C U S S I O N P A P E R S E R I E SIZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author. The shortage of skilled workers limits the growth of more productive firms. Two factors influence the availability of skilled workers: i) the education level of the workforce and ii) large public sectors that predominantly hire individuals with a better education. We set up a model economy with a government and private firm formation where production requires unskilled and skilled jobs. Workers with a secondary education are pivotal as they can perform both types of jobs. We find that level of education and public sector employment account for 40-45% of the differences between the United States and Mexico in terms of average firm size, GDP per capita, and GDP per hour worked. We also show that the impact of public employment on skill premiums and productivity measures depends on the skill bias in public hiring.JEL Classification: J24, J45, E24, H30, O11

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“…Last but not least, a statement of public employment and political power must be briefly discussed to properly address the research questions in the next sections. In that regard, we witness that the definition of public employment differs due country-specific regulations and reforms trajectories of public employment regimes and therefore it has not reached universal consensus (Gimpelson andTreisman, 2002, Behar andMok, 2013). Although imprecise, the definition by Gottschall et al (2015) seems complete, in that they define the term public employment as a large and heterogeneous group of employees who are directly or indirectly involved in the production and supply of publicly-financed goods and services; other definitions tend to exclude companies owned by the state for operating in the private sphere.…”

Section: Introductionmentioning

confidence: 99%

Influence of artificial intelligence on public employment and its impact on politics: A systematic literature review

Reis

Santo

Melão

2021

BJO&PM

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Goal: Public administration is constantly changing in response to new challenges, including the implementation of new technologies such as robotics and artificial intelligence (AI). This new dynamic has caught the attention of political leaders who are finding ways to restrain or regulate AI in public services, but also of scholars who are raising legitimate concerns about its impacts on public employment. In light of the above, the aim of this research is to analyze the influence of AI on public employment and the ways politics are reacting.Design / Methodology / Approach: We have performed a systematic literature review to disclose the state-of-the-art and to find new avenues for future research. Results:The results indicate that public services require four kinds of intelligence -mechanical, analytical, intuitive, and empathetic -albeit, with much less expression than in private services. Limitations of the investigation:This systematic review provides a snapshot of the influence of AI on public employment. Thus, our research does not cover the whole body of knowledge, but it presents a holistic understanding of the phenomenon. Practical implications:As private companies are typically more advanced in the implementation of AI technologies, the for-profit sector may provide significant contributions in the way states can leverage public services through the deployment of AI technologies.Originality / Value: This article highlights the need for states to create the necessary conditions to legislate and regulate key technological advances, which, in our opinion, has been done, but at a very slow pace.

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Does Public-Sector Employment Fully Crowd Out Private-Sector Employment?

Cited by 23 publications

References 17 publications

Factors Shaping Qatari Students’ Career Expectations in STEM, Business or Public Sector Fields

Factors Shaping Qatari Students’ Career Expectations in STEM, Business or Public Sector Fields

Human capital and the size distribution of firms

Influence of artificial intelligence on public employment and its impact on politics: A systematic literature review

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