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Record W4387647004 · doi:10.1108/jsbed-06-2022-0290

Were the self-employed less happy than waged employees during the COVID-19 pandemic? Evidence from the Gallup World Poll

2023· article· en· W4387647004 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Small Business and Enterprise Development · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCOVID-19 Pandemic Impacts
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPandemicFinancial crisisDemographic economicsIndividualismCoronavirus disease 2019 (COVID-19)MediationSample (material)EconomicsWork (physics)PsychologyBusinessPolitical scienceMedicine

Abstract

fetched live from OpenAlex

Purpose The COVID-19 pandemic created not only a public health crisis but also the largest disruption to the global economies. The purpose of the paper is to investigate the adverse impacts of the pandemic on self-employment including job loss, income reduction and cut back in work hours and how these impacts were related to the well-being the self-employed. The authors also examine how self-employers responded to adversity in different cultural settings. Design/methodology/approach The main sample was obtained the Gallup World Poll that covers more than 39,000 individuals across 55 countries over the period from October 2020 to June 2021. The ordinary least square was the main choice of methodology. The paper employs the Oaxaca-Blinder decomposition technique to quantify the gap in financial loss between self-employed and employed individuals. Finally, the moderated mediation analysis allows the authors to examine how financial loss mediates the reduction in well-being of self-employers. Findings The paper finds that self-employers were 29% more likely to lose their businesses than paid individuals to lose their jobs and perhaps as a result, they were 50% more likely to experience lower work hours and less income. The findings suggest that the impact of the COVID-19 pandemic varied across countries. The financial gap between self-employment and full-time employment was narrower in countries with individualism, low uncertainty avoidance and propensity for long-term future. Finally, the paper shows that although financial loss associated with the coronavirus situation mediated the relationship between self-employment and reduced wellbeing, the positive relationship between self-employment and life satisfaction (wellbeing) held amid the pandemic. Despite all the pecuniary setbacks relative to full-time employment, self-employers report higher subjective wellbeing than regular wage earners during difficult times. Practical implications The earnings gap between self-employers and employees persists (and increase) during adverse conditions may cast into doubt the efficiency of the economic system that ensures no one is left behind. In addition, contextual factors such as cultural values should also be taken into consideration in reducing the earning gap between self-employment and regular employment. It is also implied that the self-employed choose to engage in self-employment due to psychological and emotion benefits rather than material achievements. Originality/value This study has quantified the income gap between self-employment and employed individuals in the context of adverse economic conditions. This study also highlights the fact that despite all the financial setbacks, self-employers are happier than employed individuals and they engage in self-employment as an important way to pursue happiness. This highlights well-being as the critical non-pecuniary benefits of the career choice of and transition into self-employment that have been confirmed in extant entrepreneurship literature.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.713

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.103
GPT teacher head0.271
Teacher spread0.168 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it