Replication data for: What Do Big Data Tell Us about Why People Take Gig Economy Jobs?
Principal Investigator(s): View help for Principal Investigator(s) Dmitri K. Koustas
Version: View help for Version V1
Name | File Type | Size | Last Modified |
---|---|---|---|
9_Koustas_Data_Programs | 12/07/2019 03:37:PM | ||
|
text/plain | 14.6 KB | 12/07/2019 10:37:AM |
Project Citation:
Koustas, Dmitri K. Replication data for: What Do Big Data Tell Us about Why People Take Gig Economy Jobs? Nashville, TN: American Economic Association [publisher], 2019. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-12-07. https://doi.org/10.3886/E116468V1
Project Description
Summary:
View help for Summary
The gig economy is widely regarded to be a source of secondary or temporary income, but little is known about economic activity outside of the gig economy. Using data from a large, online personal finance application, I document the evolution of non-gig income and household balance sheets surrounding the participation decision for gig economy jobs. This simple analysis reveals striking pretrends in income and assets. In addition to providing insight into the reasons why households enter the gig economy, these findings have potentially important implications for the external validity of previous studies focusing on gig economy activity only.
Scope of Project
JEL Classification:
View help for JEL Classification
C55 Large Data Sets: Modeling and Analysis
D14 Household Saving; Personal Finance
J22 Time Allocation and Labor Supply
J23 Labor Demand
C55 Large Data Sets: Modeling and Analysis
D14 Household Saving; Personal Finance
J22 Time Allocation and Labor Supply
J23 Labor Demand
Related Publications
Published Versions
Report a Problem
Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.
This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.