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Effects of work requirements for food assistance eligibility on disability claiming Cover

Effects of work requirements for food assistance eligibility on disability claiming

By:   
Open Access
|Feb 2022

Figures & Tables

Figure 1

States with work requirements by year.

Notes: Data are from USDA correspondence to states regarding their work requirement waivers.

Table 1

Regression results – overall effects

(1)(2)(3)(4)
SSI applications per 10KSSI recipients per 10KSNAP rateSSI rate
Panel A: Main Results
Any work requirement−0.002 (0.510)0.333 (0.241)−0.000 (0.001)−0.004 (0.003)
Observations408408408408
Within R-squared0.6250.4260.0680.234
Standard R-squared0.9670.9150.8520.743
Mean33.4311.190.130.02
% Change from mean0.0%3.0%0.0%−20.0%
Partial Eta-squared0.0000.0070.0080.000
90% Conf. interval0 – 0.0190 – 0.0280 – 0.0300 – 0.006
Panel B: Including State-Level Controls
Any work requirement−0.201 (0.500)0.173 (0.185)0.000 (0.001)−0.002 (0.003)
Observations400400400400
Within R-squared0.7000.5520.1100.329
Standard R-squared0.9740.9380.8580.774
% Change from mean−0.6%1.5%0.0%−10.0%
Partial Eta-squared0.0010.0040.0030.000
90% Conf. interval0 – 0.0130 – 0.0220 – 0.0200 – 0.007

[i] Notes: Underlying data come from the SAMWD and CPS (2010–2017). Each column within each panel represents a separate regression. Outcomes in Columns 1 and 2 are measured per 10,000 population; Outcomes in Columns 3 and 4 are rates. All regressions include state and year fixed effects. In Panel B, state-level controls are added, including TANF caseload, unemployment rate, state minimum wage, poverty ratio, high school completion rates, Medicaid expansions, fractions of the population that are White, Black, Hispanic, of prime age, and female; Governor’s political party affiliation, “Must Access” PDMP, medical cannabis dispensary access, and recreational cannabis dispensary access. The first panel includes 408 state-years, while the lower panel includes 400 state-years because the District of Columbia does not have a Governor. Standard errors are clustered at the state level and reported in parentheses.

[ii] ***p < 0.01, **p < 0.05, *p < 0.1.

Table 2

Regression results – rates among those with self-reported disabilities or low income

(1)(2)(3)(4)
SNAP rate – difficultySNAP rate – low incomeSSI rate – difficultySSI rate – low income
Panel A: Main Results
Any work requirement−0.001 (0.008)0.004 (0.004)−0.013 (0.011)−0.007 (0.011)
Observations408408408408
Within R-squared0.0720.0180.1020.106
Standard R-squared0.3720.5180.4890.569
Mean0.290.320.220.06
% Change from mean−0.3%1.3%−5.9%−11.7%
Partial Eta-squared0.0030.0010.0000.002
90% Conf. interval0 – 0.0190 – 0.0140 – 0.0040 – 0.017
Panel B: Including State-Level Controls
Any work requirement0.002 (0.008)0.005 (0.004)−0.007 (0.012)−0.002 (0.010)
Observations400400400400
Within R-squared0.1240.0670.1670.179
Standard R-squared0.4100.5420.5260.606
% Change from mean0.7%1.6%−3.2%−3.3%
Partial Eta-squared0.0010.0000.0000.003
90% Conf. interval0 – 0.0130 – 0.0070 – 0.0070 – 0.022

[i] Notes: Underlying data come from the SAMWD and CPS (2010–2017). Each column in each panel represents a separate regression. Difficulty refers to those with self-reported disabilities and Low Income refers to self-reported income <150% of the FPL. All regressions include state and year fixed effects. In Panel B, state-level controls are added, including TANF caseload, unemployment rate, state minimum wage, poverty ratio, high school completion rates, Medicaid expansions, fractions of the population that are White, Black, Hispanic, of prime age, and female; Governor’s political party affiliation, “Must Access” PDMP, medical cannabis dispensary access, and recreational cannabis dispensary access. The first panel includes 408 state-years, while the lower panel includes 400 state-years because the District of Columbia does not have a Governor. Standard errors are clustered at the state level and reported in parentheses.

[ii] ***p < 0.01, **p < 0.05, *p < 0.1.

Figure 2

Decomposition of DID results. Panel A: Decomposition of overall results. Panel B: Decomposition of results for those with self-reported disabilities or low income.

Notes: Decomposition based on Goodman-Bacon (2021).

Figure 3

Event studies – Overall effects.

Notes: Average Treatment Effects on the Treated (ATT) are graphed by year relative to work requirement implementation. ATTs are calculated by running event studies separately for each group as defined by year of work requirement implementation. Leads and lags are then averaged, weighting by the share of states in each group. Virginia and West Virginia gained and reversed work requirements during the sample period and are omitted from the event study analysis. Outcomes are measured per 10,000 population in the first two graphs and are rates in the second two graphs. Underlying regressions control for state and year fixed effects with standard errors clustered at the state level.

Figure 4

Event studies for SSA recipients.

Notes: Average Treatment Effects on the Treated (ATT) are graphed by year relative to work requirement implementation. ATTs are calculated by running event studies separately for each group as defined by year of work requirement implementation. Leads and lags are then averaged, weighting by the share of states in each group. Virginia and West Virginia gained and reversed work requirements during the sample period and are omitted from the event study analysis. Underlying regressions control for state and year fixed effects with standard errors clustered at the state level.

Table 3

Average treatment effects from Callaway and Sant’Anna (2021) analysis

(1)(2)(3)(4)
SSI applications per 10KSSI recipients per 10KSNAP rateSSI rate
Any work requirement1.339* (0.806)0.460 −0.4990.001 −0.004−0.001 (0.001)
Mean33.4311.190.130.02
% Change from mean4.0%4.1%0.8%5.0%
SNAPSNAPSSISSI
Rate – DifficultyRate – Low IncomeRate – DifficultyRate – Low Income
Any work requirement−0.037* (0.019)−0.016 (0.018)0.010 (0.018)0.001 (0.006)
Mean0.290.320.220.06
% Change from mean12.8%5.0%4.5%1.7%
Observations384384384384

[i] Notes: Average Treatment Effects on the Treated (ATT) are calculated by running event studies separately for each group as defined by year of work requirement implementation. Leads and lags are then averaged, weighting by the share of states in each group. Virginia and West Virginia gained and reversed work requirements during the sample period and are omitted from the event study analysis. Underlying regressions control for state and year fixed effects with standard errors clustered at the state level.

DataURL
USDA correspondenceTimothy Harris, Illinois State University. fharr1@ilstu.edu
SSA State Agency Monthly Workload Datahttps://www.ssa.gov/disability/data/ssa-sa-mowl.htm
Current Population Surveywww.ipums.org
University of Kentucky Center for Poverty Research Datahttp://ukcpr.org/resources/national-welfare-data
Medicaid Expansionhttps://www.kff.org/health-reform/state-indicator/state-activity-around-expanding-medicaid-under-the-affordable-care-act/?currentTimeframe=0&sortModel=%7B%22colId%22:%22Location%22,%22sort%22:%22asc%22%7D.
Prescription Drug Monitoring Programswww.pdaps.org
Medical and recreational cannabis accessPowell, David; Rosalie Liccardo Pacula; Mireille Jacobson (2018). Do Medical Marijuana Laws Reduce Addictions and Deaths Related to Pain Killers? Journal of Health Economics, 58:29–42
www.pdaps.org
www.procon.org
Table A1

State and year information on work requirements

Work requirements added by year
Pre-2010Colorado, Delaware, Nebraska, New York, North Dakota, South Dakota, Texas, West Virginia
2011None
2012New Hampshire, Utah, Vermont, Wyoming
2013Iowa, Kansas, Minnesota, Ohio, Oklahoma, Virginia
2014Hawaii, Maine, Montana, Wisconsin
2015Indiana, Louisiana, Washington
2016Alabama, Alaska, Arkansas, Arizona, Connecticut, Florida, Georgia, Idaho, Kentucky, Maryland, Mississippi, Massachusetts, Missouri, New Jersey, New Mexico, North Carolina, Oregon, Pennsylvania, South Carolina, Tennessee, Virginia, West Virginia
2017California, District of Columbia, Illinois, Michigan
Work requirements reversed by year
2012West Virginia
2014Virginia

[i] Source: USDA correspondence to states

Table A2

Descriptive statistics overall and by work requirement status – control variables

FULL SAMPLE (N = 408)NO WR (N = 225)WR (N = 183)NO WR V. WR
MeanStd.MeanStd.MeanStd.p-Value
TANF cases per 1,0004.423.054.993.722.812.90<0.001
Medicaid expansion0.280.450.190.390.400.490.683
Unemployment rate6.342.167.641.784.741.38<0.001
State minimum wage7.660.967.587.761.071.060.064
Poverty ratio0.140.030.150.120.030.03<0.001
Fraction white0.690.160.670.710.160.150.012
Fraction black0.110.110.130.090.090.09<0.001
Fraction hispanic0.110.100.120.110.100.100.598
Fraction prime age adults0.400.020.400.390.020.02<0.001
Fraction with high school diploma0.680.030.680.690.030.03<0.001
Sex ratio (female to male)0.510.010.510.510.010.01<0.001
Medical cannabis dispensary0.260.440.240.030.280.030.374
Recreational cannabis dispensary0.030.180.000.000.070.02<0.001
“Must Access” PDMP0.170.380.120.020.250.030.001

[i] Notes: Data cover the period from 1/1/2010 through 12/31/2017. p-values are from two-sided t-tests for continuous measures and from chi-squared tests for dichotomous measures.

Table A3

Comparing outcomes for state-years with and without work requirements

FULL SAMPLENO WRWRNO WR V. WR
MeanStd.MeanStd.MeanStd.p-Value
SSI applications per 10,00033.4313.9738.100.9827.690.78<0.001
SSI recipients per 10,00011.193.8412.200.299.950.20<0.001
SNAP recipiency0.130.040.140.000.120.00<0.001
SNAP recipiency – difficulty0.290.090.310.010.270.01<0.001
SNAP recipiency – low Income0.320.080.340.010.290.01<0.001
SSI recipiency0.020.010.020.000.020.000.002
SSI recipiency – difficulty0.220.070.230.000.200.00<0.001
SSI recipiency – low income0.060.030.070.000.060.000.276

[i] Notes: Data cover the period from 1/1/2010 through 12/31/2017. SSI applications per 10,000 population and SSI recipients per 10,000 population are based on the SAMWD data. SNAP and SSI recipiencies are from the CPS. All population measures are for the whole population. p-values are from two-sided t-tests.

Table A4

Averaged coefficients by period from Callaway and Sant’Anna (2021) event studies

Period(1)(2)(3)(4)(5)(6)(7)(8)
SSI applications per 10KSSI recipients per 10KSNAP rateSSI rateSNAP rate - difficultySNAP rate - low incomeSSI rate - difficultySSI rate - low income
−7−0.496 (1.176)−0.451 (0.743)0.014*** (0.004)−0.002 (0.002)−0.020 (0.193)0.0234* (0.012)0.003 (0.035)0.008 (0.006)
−60.883 (0.711)0.174 (0.223)−0.006 (0.005)–0.001 (0.001)0.020 (0.023)−0.013 (0.016)−0.044 (0.032)−0.016 (0.008)
−5−0.467 (0.561)−0.005 (0.252)0.008 (0.005)0.001 (0.001)−0.006 (0.036)0.004 (0.020)0.024 (0.026)0.014 (0.007)
−4−0.414 (0.482)−0.032 (0.217)0.007 (0.004)0.000 (0.001)−0.033 (0.025)−0.005 (0.016)0.020 (0.018)−0.001 (0.008)
−3−0.233 (0.486)−0.242 (0.199)−0.005 (0.006)0.000 (0.002)0.006 (0.025)0.002 (0.016)−0.006 (0.022)−0.001 (0.007)
−2−0.004 (0.442)0.353** (0.179)0.000 (0.004)0.000 (0.001)−0.006 (0.026)−0.004 (0.014)−0.016 (0.022)−0.009 (0.008)
−11.068 (1.112)0.062 (0.334)−0.002 (0.005)−0.001 (0.001)−0.001 (0.023)−0.025 (0.019)0.013 (0.020)0.002 (0.007)
0−0.027 (0.272)0.161 (0.150)0.001 (0.004)0.000 (0.001)−0.002 (0.017)0.011 (0.018)0.018 (0.021)0.009 (0.007)
10.459 (0.579)0.102 (0.280)−0.001 (0.005)−0.001 (0.001)−0.045* (0.024)−0.039* (0.022)0.002 (0.017)0.005 (0.007)
21.693* (0.930)0.375 (0.446)0.003 (0.005)−0.002* (0.001)−0.070*** (0.024)−0.020 (0.020)−0.002 (0.020)−0.006 (0.006)
32.451* (1.325)0.791 (0.662)0.007 (0.006)−0.002 (0.002)−0.050 (0.031)−0.023 (0.028)−0.018 (0.030)−0.004 (0.012)
43.560* (1.861)0.851 (0.995)0.000 (0.008)0.000 (0.001)−0.042 (0.044)−0.003 (0.037)0.030 (0.028)−0.003 (0.008)
51.444 (1.970)0.383 (0.940)−0.005 (0.011)−0.001 (0.001)−0.006 (0.043)−0.030 (0.043)0.049* (0.028)0.009 (0.013)
64.854 (3.471)2.248 (2.673)0.004 (0.013)−0.001 (0.002)−0.108* (0.056)−0.070 (0.043)0.014 (0.048)−0.022 (0.014)

Notes: Underlying data come from the SAMWD and CPS (2010–2017). Outcomes in Columns 1 and 2 are measured per 10,000 population; Outcomes in Columns 3–8 are rates. All regressions include state and year fixed effects. Average Treatment Effects on the Treated (ATT) are measured by Period (year) relative to the period in which work requirements were implemented (Period = 0). ATTs are calculated by running event studies separately for each group as defined by year of work requirement implementation. Leads and lags are then averaged, weighting by the share of states in each group. Standard errors clustered at the state level and reported in parentheses.

*** p < 0.01,

** p < 0.05,

* p < 0.1.

Table A5

Weighted treatment – overall samples

Variables(1)(2)(3)(4)
SSI applications per 10KSSI recipients per 10KSNAP recipiencySSI recipiency
Any work requirement−0.002 (0.545)0.333 (0.258)−0.005 (0.003)−0.000 (0.001)
Weighted by counties affected−1.125 (1.304)−0.271 (0.497)−0.013* (0.007)−0.001 (0.001)
Weighted by ABAWD population−1.985 (3.245)0.311 (1.242)−0.037** (0.018)−0.002 (0.004)
Weighted by non-exempted ABAWD population−2.300 (3.090)0.444 (1.237)−0.041** (0.019)−0.003 (0.004)

Notes: Underlying data come from the SAMWD and CPS (2010–2017). Each cell represents a separate regression. Outcomes in Columns 1 and 2 are measured per 10,000 population; Outcomes in Columns 3 and 4 are rates. All regressions include state and year fixed effects. Standard errors clustered at the state level and reported in parentheses.

*** p < 0.01,

** p < 0.05,

* p < 0.1.

Table A6

Weighted treatment – subgroups

Variables(1)(2)(3)(4)
SNAP rate - difficultySNAP rate - low incomeSSI rate - difficultySSI rate - low income
Any work requirement−0.013 (0.012)−0.007 (0.011)−0.001 (0.009)0.004 (0.005)
Weighted by counties affected−0.030 (0.025)−0.015 (0.027)−0.010 (0.020)0.006 (0.011)
Weighted by ABAWD population−0.081 (0.069)−0.054 (0.067)−0.019 (0.049)0.013 (0.028)
Weighted by non-exempted ABAWD population−0.091 (0.075)−0.067 (0.069)−0.029 (0.052)0.001 (0.029)

[i] Notes: Underlying data come from the SAMWD and CPS (2010–2017). Each cell represents a separate regression. Outcomes in Columns 1 and 2 are measured per 10,000 population; Outcomes in Columns 3 and 4 are rates. All regressions include state and year fixed effects. Standard errors clustered at the state level and reported in parentheses.

[ii] ***p < 0.01, **p < 0.05, *p < 0.1.

Figure A1

SSA applications and recipients per 10,000 population by year.

Notes: Data are from the SAMWD.

Figure A2

Probability of SNAP recipiency over time.

Notes: Data are from the CPS. SNAP – Difficulty includes all individuals reporting a disability based on the six-part monthly difficulty question and the annual work limitation question. SNAP – Low income includes individuals earning <150% of the federal poverty line.

Figure A3

Probability of SSI recipiency over time.

Notes: Data are from the CPS. SSI – Difficulty includes all individuals reporting a disability based on the six-part monthly difficulty question and the annual work limitation question. SSI – Low income includes individuals earning <150% of the federal poverty line.

Figure A4

Event studies.

Notes: Event studies are run including the full range of leads and lags available in the data and state and year fixed effects. Policy implementation occurs at time t = 0. Virginia and West Virginia gained and reversed work requirements during the sample period and are omitted from the event study analysis. Standard errors are clustered at the state-level. 95% confidence intervals are reported.

Figure A5

Event studies – Difficulty or low income.

Notes: Event studies are run including the full range of leads and lags available in the data and state and year fixed effects. Policy implementation occurs at time t = 0. Virginia and West Virginia gained and reversed work requirements during the sample period and are omitted from the event study analysis. Standard errors are clustered at the state-level. 95% confidence intervals are reported.

Figure A6

ATT by treatment group – Overall.

Notes: Average Treatment Effects on the Treated (ATT) are graphed treatment group, as defined by the year the work requirement was implemented. ATTs are calculated by running event studies separately for each group as defined by year of work requirement implementation. Leads and lags are then averaged, weighting by the share of states in each group, before being aggregated to calculate the group-specific treatment effect. Virginia and West Virginia gained and reversed work requirements during the sample period and are omitted from the event study analysis. Underlying regressions control for state and year fixed effects with standard errors clustered at the state level.

Figure A7

ATT by treatment group – Overall.

Notes: Average Treatment Effects on the Treated (ATT) are graphed treatment group, as defined by the year the work requirement was implemented. ATTs are calculated by running event studies separately for each group as defined by year of work requirement implementation. Leads and lags are then averaged, weighting by the share of states in each group, before being aggregated to calculate the group-specific treatment effect. Virginia and West Virginia gained and reversed work requirements during the sample period and are omitted from the event study analysis. Underlying regressions control for state and year fixed effects with standard errors clustered at the state level.

Language: English
Accepted on: Jan 10, 2022
Published on: Feb 19, 2022
Published by: Sciendo
In partnership with: Paradigm Publishing Services
JEL:

© 2022 Sarah S. Stith, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 License.