Gig Work and the Pandemic
Looking for Good Pay from Bad Jobs During the Covid-19 Crisis
Bibliographic Data
| ID | 2362479 |
|---|---|
| Authors | Jeremy Reynolds (0000-0003-1959-6994, Department of Sociology, Purdue University, West Lafayette, IN, USA, corresponding author), Reilly Kincaid (0000-0002-8855-0001, Department of Sociology, Purdue University, West Lafayette, IN, USA) |
| Year | 2023 |
| Volume | 50 |
| Issue | 1 |
| Pages | 60-96 |
| Publication date | 2023-02-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Work and Occupations (JOURNAL) |
| Journal identifiers | ISSN: 0730-8884 • E-ISSN: 1552-8464 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/07308884221128511 |
| PMID | 38603298 |
| OpenAlex | W4298005870 |
| Language | EN |
| Citations received | 17 |
| References cited | 35 |
COVID-19 led to work hour reductions and layoffs for many Americans with wage/salary jobs. Some gig work, however, which is usually considered precarious, remained available. We examine whether people doing gig microtasks right before the pandemic increased their microtask hours during COVID-19 and whether those changes helped them financially. Using data from workers on Amazon's Mechanical Turk platform from February, March, and April of 2020, we find that roughly one third of existing workers increased their microtask hours. Increases were larger for people who lost household income or wage/salary hours. Spending more time on microtasks, however, did little to help workers financially. Furthermore, the people most reliant on microtasks before the pandemic had worse financial outcomes than others. In short, even though microtask work might seem like a good way for people to recoup lost income during the pandemic, it was of limited utility even for the experienced workers in our sample
2019-20 coronavirus outbreak · Business · Coronavirus disease 2019 (COVID-19 · Demographic economics · Economics · Financial crisis · Labour economics · Pandemic · Salary · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · Wage · Work (physics · Digital Economy and Work Transformation · Engineering · Medicine · Sharing Economy and Platforms · Transportation and Mobility Innovations · Virology
The effect of job insecurity on job satisfaction by wage/promotion opportunities and motivation in gig economy and asymmetric analysis
Ambition, Marital Status, and Burnout
Automation, artificial intelligence, and job displacement in the U.S., 2019–22
Spatial differentiation in the gig economy
More than a side-hustle
Catching Up and Coping in the Covid Economy
Remote School Parenting
The Emerging Gig Economy and Sustainable Development in Sub-Saharan Africa
Putting Fairness into the Gig Economy
The gender pay platform gap during the Covid‐19 pandemic and the role of platform gender segregation in Australia
The current social protection discourse, gig economy within the advent of Covid-19
Good Jobs or Bad Jobs? Immigrant Workers in the Gig Economy
It depends
Strategic silences for normative work
Work Schedules, Finances, and Freedom
Democratizing the Economy or Introducing Economic Risk? Gig Work During the Covid-19 Pandemic
Precarious Employment and Well-Being
Hustle and Gig
A Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk
Demographics and Dynamics of Mechanical Turk Workers
Null
Modernity and self-identity
Flexible employment relationships and careers in times of the Covid-19 pandemic
Between a rock and a hard place
The health of workers in the global gig economy
Making Ends Meet
Covid‐19 and the gender gap in work hours
Distancing Bonus Or Downscaling Loss? The Changing Livelihood of Us Online Workers in Times of Covid‐19
Risk society
Precarious Lives
The Rise and Nature of Alternative Work Arrangements in the United States, 1995-2015
Dependency and Hardship in the Gig Economy
Asymmetric Fixed-effects Models for Panel Data
Maximum Likelihood for Cross-lagged Panel Models with Fixed Effects
Challenges and Contradictions in the 'Normalising' of Precarious Work
The Side Hustle Safety Net
Working More, Less or the Same During Covid-19? A Mixed Method, Intersectional Analysis of Remote Workers
How to Deal With Reverse Causality Using Panel Data? Recommendations for Researchers Based on a Simulation Study
What Do Platforms Do? Understanding the Gig Economy
Dependence and precarity in the platform economy
| Citations per year | 5.67 |
|---|---|
| Citation span | 2023 - 2026 (4) |
| Highly cited | No |