社会保障与高频劳动力供给：来自优步司机的证据（英）

Investment Rating - The report does not provide a specific investment rating for the industry or company analyzed. Core Insights - The study estimates that the labor supply of older Uber drivers declines by an average of 2% during the week of Social Security benefit receipt, with a small group reducing labor supply by more than 40% [4][9][10] - The findings suggest that while most drivers do not significantly adjust their labor supply in response to Social Security benefits, a small percentage exhibit substantial changes, indicating deviations from standard labor supply models [10][11][12] - The research highlights the interaction between Social Security benefits and gig work, emphasizing the importance of understanding how predictable transfers affect labor supply decisions among older adults [6][16][17] Summary by Sections Introduction - The paper investigates how the receipt of Social Security retirement benefits influences the labor supply decisions of Uber drivers, particularly focusing on older adults who may rely on gig work for income [6][17] - It addresses the lack of understanding regarding the interaction between Social Security and gig work, especially in the context of flexible labor supply [6][16] Background - Social Security benefits are predictable and economically significant, covering over 93% of workers and providing the majority of retirement income for individuals aged 65 and older [19][20] - The study uses a unique identification strategy based on the staggered timing of Social Security payments to analyze labor supply adjustments among Uber drivers [7][21] Data - The analysis utilizes proprietary data from Uber, focusing on two samples: Retirement Age drivers (aged 62 and older) and Working Age drivers (aged 58 to 61) [25][30] - The Retirement Age sample includes 49,515 drivers, while the Working Age sample consists of 41,446 drivers, allowing for comparisons in labor supply behavior [25][30] Research Design - The study employs a paired-event-study framework to estimate the causal effects of Social Security benefits on labor supply, addressing challenges related to staggered treatment and the absence of a natural control group [48][49] - The analysis distinguishes between pre-treatment anticipation effects and post-treatment responses, allowing for a clearer understanding of labor supply dynamics around benefit receipt [50][51] Results - The results indicate that older Uber drivers reduce their labor supply by 2% to 5% during the week of benefit receipt, with significant variations in individual responses [9][10][36] - The findings reveal that the majority of drivers do not adjust their labor supply meaningfully, while a small group significantly reduces hours worked, suggesting the presence of nonstandard preferences among this subset [10][11][12]