The Spending and Debt Response to Minimum Wage Hikes

By Daniel Aaronson, Sumit Agarwal, Eric French. 2012

229 citations recorded by the source corpus.

Subfields: Accounting, Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/deda4b4679084cb079cb50acdca114bc32e666ac

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Citations in the corpus

Household Debt: Facts, Puzzles, Theories, and Policies (2015, background): “Highutilization and low-limit cardholders increased their spending, while debt repayment (savings) rose for plausibly less-constrained cardholders.44 Aaronson et al (2012) find that an increase in the minimum wage has a multiplier effect on spending that is driven by a small number of households…”
Mortgage Refinancing, Consumer Spending, and Competition: Evidence from the Home Affordable Refinancing Program (2015, unknown): “…(1995, 2003), Jappelli et al. (1998), Souleles (1999), Parker (1999), Browning and Collado (2001), Stephens (2008), Johnson, Parker, and Souleles (2006), Agarwal, Liu, and Souleles (2007), Aaronson et al. (2012), Mian and Sufi (2012), Parker, Souleles, Johnson, and McClelland (2013), Gelman et. al.”
Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects (2018, unknown): “Aaronson et al. (2012), The Spending and Debt Response to Minimum Wage Hikes.”
Tax Cuts for Whom? Heterogeneous Effects of Income Tax Changes on Growth and Employment (2019, unknown): “Aaronson et al. (2012) show large micro consumption responses (especially on durable goods) following minimum wage increases.”
Consumer Spending and the Economic Stimulus Payments of 2008 (2013, background): “(Aaronson, Agarwal, and French 2012; Leininger, Levy, and Schanzenbach (2010); and Wilcox (1989) also find a significant response in durable goods to changes in income.”
The minimum wage and the Great Recession: Evidence of effects on the employment and income trajectories of low-skilled workers (2014, result): “This pooling of estimates is similar to that conducted by Aaronson, Agarwal, and French (2012), who obtain an even greater precision gain by accounting for each estimate’s precision when weighting estimates across data sources.”