Democratizing the Economy or Introducing Economic Risk? Gig Work During the COVID-19 Pandemic

Abstract Though the growth of the gig economy has coincided with increased economic precarity in the new economy, we know less about the extent to which gig work (compared with other self-employment arrangements and non-gig work) may fuel economic insecurity among American households. We fill this gap in the literature by drawing on a sample […]

Democratizing the economy or introducing economic risk? Gig work during the COVID-19 pandemic

Summary Though the growth of the gig economy has coincided with increased economic precarity in the new economy, we know less about the extent to which gig work (compared with other self-employment arrangements and non-gig work) may fuel economic insecurity among American households. We fill this gap in the literature drawing on a sample of […]

Gig Work and Self-Employment

Research Agenda

SPI analyzes data from the Household Financial Survey and Socioeconomic Impacts of COVID-19 Survey to explore how non-traditional work relates to workers’ financial stability.

Gig work can be a lifeline, but it may be disappearing for those that need it

When you think of gig work—types of work where online apps and platforms allow workers to get paid for a range of services including ride-sharing, home repairs, art sales, and property rental—you might imagine a flexible job that enables anyone to earn income. If you have a reliable car and a smartphone, you can download […]

Does Savings Affect Participation in the Gig Economy? Evidence from a Tax Refund Field Experiment

This paper investigates how saving the federal tax refund affects gig economy participation for low-income online tax filers in the six months following tax filing. Using longitudinal survey and administrative data, we leverage random assignment in a unique refund savings experiment as an instrument for refund savings. We find significant heterogeneity in estimated effects that are consistent […]

The Impact of Gig-Economy on Financial Hardship among Low-Income Families” Kaitlin Daniels, Olin Business School at Washington University

As the gig economy plays an increasingly important role in the labor market, there is a need to understand the economic factors that influence participation in this sector. In this paper, we investigate how saving the federal tax refund affects gig economy participation for low-income online tax filers in the six months following tax filing. […]

JPMorgan Chase awards $1.6 million grant to address employment vulnerability of low-wage frontline workers

JPMorgan Chase has awarded a $1.6 million grant to the Social Policy Institute (SPI) at Washington University in St. Louis in aid of its Workforce Economic Inclusion and Mobility (WEIM) Project to address the employment vulnerability of low-wage frontline and essential workers. Through this work, SPI will build a better understanding of the public policy […]

Cut me some slack! An exploration of slack resources and technology-mediated human capital investments in entrepreneurship

Purpose In this paper, the authors explore the relationship that slack resources and technology-mediated human capital investments can have on individuals’ entrepreneurial intentions. Focusing on human capital investments that individuals make through education and work, the authors analyze the relationship among formal online learning opportunities, informal skill development in the gig economy and entrepreneurial intentions. […]

Socioeconomic Impact of COVID-19 Survey: United States

Survey in the United States

The Socioeconomic Impacts of COVID-19 Survey in the U.S. consists of five waves and was designed to study the social and economic impacts of the pandemic. The survey was administered with oversight from an advisory committee with representation and experts from the field.

Socioeconomic Impacts of COVID-19: Israel

Survey in Israel

A survey was fielded in Israel to examine the socioeconomic impact of the COVID-19 pandemic. The survey collects data on approximately 2,300 respondents in each wave and consists of both a cross-sectional and a panel component, allowing researchers to analyze robust samples of households in each wave and track outcomes within households over time.

Building an effective employee financial wellness program [5 Key Insights]

Anyone who does a “happy dance” on payday knows how much employers affect our financial lives. Most of us depend on employment to make ends meet and pursue our long-term goals. That’s why through the Workforce Financial Stability Initiative, we’ve been studying employee financial wellness programs (EFWPs) since 2017. Our motivation was simple: with growing […]

Financial Well-being: Measuring Financial Perceptions and Experiences in Low- and Moderate- Income Households (Links to an external site)

Abstract As the gig economy plays an increasingly important role in the labor market, there is a need to understand the economic factors that influence participation in this sector. In this paper, we investigate how saving the federal tax refund affects gig economy participation for low-income online tax filers in the six months following tax […]

Research Wire (Links to an external site)

Bufe, S., Roll, S. P., Kondratjeva, O., Hardy, B., & Grinstein-Weiss, M. (2019). Does Savings Affect Participation in the Gig Economy? Evidence from a Tax Refund Field Experiment (SPI Working Paper 19-1). St. Louis, MO: Washington University, Social Policy Institute.

Financially Stressed Families Save More with Medicaid, Study Shows

As the gig economy plays an increasingly important role in the labor market, there is a need to understand the economic factors that influence participation in this sector. In this paper, we investigate how saving the federal tax refund affects gig economy participation for low-income online tax filers in the six months following tax filing. […]

Household Financial Survey (HFS)

Financial Security

Since 2013 SPI researchers have conducted the Household Financial Survey, a national, twice-per-year survey administered to a random sample of low- and moderate-income online tax filers.