Using Examiner Assignment to Estimate Causal Effects of SSDI Receipt

By Nicole Maestas, Kathleen J. Mullen, Alexander Strand. 2013

473 citations recorded by the source corpus.

Subfields: Accounting, Demography, Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/b0017d6fbbf306dd5a09a80b741fd9b6fd564e72

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Accounting

1. Peter Hull
2. Wallace K. C. Mok
3. Magne Mogstad
4. C. Chaisemartin
5. Bruce D. Meyer
6. Christian N. Brinch
7. Matthew Wiswall
8. Brigham R. Frandsen

In Demography

1. Magne Mogstad
2. Wallace K. C. Mok
3. C. Chaisemartin
4. Bruce D. Meyer
5. Christian N. Brinch
6. Matthew Wiswall
7. Brigham R. Frandsen
8. M. Arellano

In Economics and Econometrics

1. C. Chaisemartin
2. Bruce D. Meyer
3. Xavier Jaravel
4. Kirill Borusyak
5. Lars Lefgren
6. Brigham R. Frandsen
7. Peter Hull
8. Wallace K. C. Mok

Citations in the corpus

• Disability, earnings, income and consumption (2013, background): “(2011), French and Song (2012), and Maestas et al. (2013). 5 Our companion paper, Meyer and Mok (2013), focuses on earnings, income and public benefit receipt.”
• Economics, Fairness and Algorithmic Bias (2020, unknown): “…et al., 2017); foster-care cases to foster care workers (Doyle Jr et al., 2007; Doyle Jr, 2008); disabilityinsurance applications to examiners (Maestas et al., 2013); bankruptcy judges to individual debtors (Dobbie and Song, 2015) and corporations (Chang and Schoar, 2013); and job seekers to…”
• Beyond LATE with a Discrete Instrument (2017, methodology): “U1,U0,UD), a common assumption in applied work estimating MTE (see, e.g., Carneiro and Lee 2009; Carneiro et al. 2011; Maestas et al. 2013).”
• Quasi-Experimental Shift-Share Research Designs (2018, background): “26Recent examples of examiner designs include Chetty et al. (2011), Maestas et al. (2013), Doyle et al. (2015), Feng and Jaravel (2017), and Dobbie et al. (2018).”
• Tolerating defiance? Local average treatment effects without monotonicity (2017, methodology): “…of papers have used randomly assigned judges with different sentencing rates as an instrument for incarceration (see Aizer and Doyle (2015) and Kling (2006)) or receipt of disability insurance (see Maestas, Mullen, and Strand (2013), French and Song (2014), and Dahl, Kostøl, and Mogstad (2014)).”
• Using Instrumental Variables for Inference About Policy Relevant Treatment Effects (2018, unknown): “However, researchers are sometimes interested in the MTE function itself, for example, Carneiro, Heckman, and Vytlacil (2011) and Maestas, Mullen, and Strand (2013).”
• Contamination Bias in Linear Regressions (2021, unknown): “Prominent “judge IV” examples include Kling (2006), Maestas et al. (2013), and Dobbie and Song (2015). bias term that is generally non-zero.”
• Judging Judge Fixed Effects (2019, background): “…effect of foster care on child outcomes (Doyle, 2007, 2008), the effect of disability on labor supply, mortality, and intergenerational welfare use (Maestas et al., 2013; Dahl et al., 2014; Autor et al., 2017; Black et al., 2018), and the effect of patents on innovation (Galasso and Schankerman,…”