HighStudy design
Design:
Study group formation:
Time period of study:
Primary outcome domains examined:
Increase short-term earnings, Increase long-term earnings, Increase short-term employment, Increase long-term employment, Decrease short-term benefit receipt, Decrease long-term benefit receiptOther outcome domains examined:
Housing, spending, debt and savings, healthStudy funded by:
Results
View table definitionsScroll to the right to view the rest of the table columns
| Outcome domain | Measure | Timing | Study quality by finding | Comparison group mean | Program group mean | Impact | Units | Findings | Sample size |
|---|---|---|---|---|---|---|---|---|---|
| Increase short-term earnings | Monthly earnings, follow-up survey | Month 12 |
High
|
1,009.00 | 1,076.00 | 67.00 | 2017 dollars |
|
351 |
| Increase short-term earnings | Quarterly earnings, UI data | Quarter 6 |
High
|
3,367.00 | 3,275.00 | -92.00 | 2017 dollars |
|
346 |
| Increase long-term earnings | Monthly earnings, follow-up survey | Month 24 |
High
|
1,149.00 | 1,357.00 | 208.00 | 2018 dollars |
|
346 |
| Increase long-term earnings | Total earnings over follow-up period, UI data | Quarter 18 |
High
|
3,408.00 | 3,458.00 | 50.00 | 2020 dollars |
|
346 |
| Increase short-term employment | Currently employed, follow-up survey | Month 12 |
High
|
59.30 | 66.00 | 6.70 | percentage points |
|
351 |
| Increase short-term employment | Ever employed, quarterly, UI data | Quarter 6 |
High
|
61.00 | 66.20 | 5.20 | percentage points |
|
346 |
| Increase long-term employment | Average employment rate, quarterly, UI data | Quarter 18 |
High
|
62.20 | 67.10 | 4.90 | percentage points |
|
346 |
| Increase long-term employment | Currently employed, follow-up survey | Month 24 |
High
|
62.60 | 68.70 | 6.10 | percentage points |
|
346 |
| Decrease short-term benefit receipt | Any government benefit receipt, follow-up survey | Month 12 |
High
|
68.30 | 64.20 | -4.10 | percentage points |
|
351 |
| Decrease short-term benefit receipt | Current SDA benefit receipt, follow-up survey | Month 12 |
High
|
14.90 | 15.10 | 0.20 | percentage points |
|
351 |
| Decrease short-term benefit receipt | Current SNAP benefit receipt, follow-up survey | Month 12 |
High
|
62.40 | 56.10 | -6.30 | percentage points |
|
351 |
| Decrease short-term benefit receipt | Current SSI benefit receipt, follow-up survey | Month 12 |
High
|
1.60 | 2.60 | 1.00 | percentage points |
|
351 |
| Decrease short-term benefit receipt | Current TANF benefit receipt, follow-up survey | Month 12 |
High
|
3.70 | 1.30 | -2.40 | percentage points |
|
351 |
| Decrease short-term benefit receipt | Current unemployment benefit receipt, follow-up survey | Month 12 |
High
|
1.60 | 0.90 | -0.70 | percentage points |
|
351 |
| Decrease short-term benefit receipt | Current WIC benefit receipt, follow-up survey | Month 12 |
High
|
19.60 | 17.40 | -2.20 | percentage points |
|
351 |
| Decrease long-term benefit receipt | Any government benefit receipt, follow-up survey | Month 24 |
High
|
62.10 | 56.20 | -5.90 | percentage points |
|
346 |
| Decrease long-term benefit receipt | Average monthly SDA benefit, follow-up survey | Month 24 |
High
|
138.00 | 130.00 | -8.00 | 2020 dollars |
|
346 |
| Decrease long-term benefit receipt | Average monthly SNAP benefit, follow-up survey | Month 24 |
High
|
197.00 | 191.00 | -6.00 | 2020 dollars |
|
346 |
| Decrease long-term benefit receipt | Average monthly SSI benefit, follow-up survey | Month 24 |
High
|
33.33 | 16.88 | -16.45 | 2020 dollars |
|
346 |
| Decrease long-term benefit receipt | Average monthly TANF benefit, follow-up survey | Month 24 |
High
|
2.11 | 14.75 | 12.64 | 2020 dollars |
|
346 |
| Decrease long-term benefit receipt | Average monthly unemployment or worker's compensation benefit, follow-up survey | Month 24 |
High
|
14.19 | 8.25 | -5.94 | 2020 dollars |
|
346 |
| Decrease long-term benefit receipt | Average SNAP benefit, monthly, administrative data | Month 60 |
High
|
152.00 | 157.00 | 5.00 | 2020 dollars |
|
427 |
| Decrease long-term benefit receipt | Average SNAP participation rate, monthly, administrative data | Month 60 |
High
|
36.90 | 38.40 | 1.50 | percentage points |
|
427 |
| Decrease long-term benefit receipt | Current SDA benefit receipt, follow-up survey | Month 24 |
High
|
16.60 | 14.00 | -2.60 | percentage points |
|
346 |
| Decrease long-term benefit receipt | Current SNAP benefit receipt, follow-up survey | Month 24 |
High
|
50.50 | 53.20 | 2.70 | percentage points |
|
346 |
| Decrease long-term benefit receipt | Current SSI benefit receipt, follow-up survey | Month 24 |
High
|
2.70 | 1.00 | -1.70 | percentage points |
|
346 |
| Decrease long-term benefit receipt | Current TANF benefit receipt, follow-up survey | Month 24 |
High
|
1.60 | 4.00 | 2.40 | percentage points |
|
346 |
| Decrease long-term benefit receipt | Current unemployment benefit receipt, follow-up survey | Month 24 |
High
|
1.60 | 1.30 | -0.30 | percentage points |
|
346 |
| Decrease long-term benefit receipt | Current WIC benefit receipt, follow-up survey | Month 24 |
High
|
14.70 | 8.20 | -6.50 | percentage points |
|
346 |
Short-term outcomes are those measured 18 months or fewer after participants are first offered services. Long-term outcomes are those measured between 18 months and 5 years after participants are first offered services. Very long-term outcomes are those measured 5 years or more after participants are first offered services.
Means are not displayed when not reported or not aligned with the impact estimates. For example, if the impact estimate is regression-adjusted but only unadjusted means are reported in the study, the unadjusted means are not displayed as they are not aligned with the adjusted impact estimate.
Impact estimates are not shown when the estimate units cannot be converted to natural units.
High
Moderate
The findings quality describe our confidence that a given study’s finding is because of the program. We do not display findings that rate low.
A moderate-to-large favorable finding that is unlikely to be due to chance
A moderate-to-large favorable finding that might to be due to chance
A small favorable finding that is unlikely to be due to chance
A small favorable finding that might be due to chance
A favorable finding that is unlikely to be due to chance, but we cannot determine the standardized effect size
A favorable finding that might be due to chance, but we cannot determine the standardized effect size
A moderate-to-large unfavorable finding that is unlikely to be due to chance
A moderate-to-large unfavorable finding that might to be due to chance
A small unfavorable finding that is unlikely to be due to chance
A small unfavorable finding that might be due to chance
An unfavorable finding that is unlikely to be due to chance, but we cannot determine the standardized effect size
An unfavorable finding that might be due to chance, but we cannot determine the standardized effect size
A finding that is unlikely to be due to chance, but we cannot determine the standardized effect size or direction
A finding of no effect that might be due to chance
Sample characteristics
Participants were adults between 18 and 55 years old who were willing and able to work; resided in Tarrant County, TX; and had low family incomes (below 185 percent of the federal poverty line). Most participants were female (85 percent). The majority of participants were recipients of public assistance (65 percent) and single mothers (56 percent). Less than half of participants (40 percent) were employed at baseline, and 25 percent of participants had a high school diploma or GED. The average age of participants was 37 years old.
Age
| Mean age | 37 years |
Sex
| Female | 85% |
| Male | 15% |
Race and ethnicity
| Black or African American |
48%
|
| White, not Hispanic |
15%
|
| Hispanic or Latino of any race |
30%
|
| Unknown, not reported, or other |
8%
|
The race and ethnicity categories may sum to more than 100 percent if the authors reported race and ethnicity separately; in these cases, we report the category White, rather than White, not Hispanic.
Family status
| Single parents | 56% |
Employment and public benefit status
| Were employed | 40% |
| Cash assistance recipients | 65% |
Education
| Had a high school diploma or GED | 25% |
| Did not have a high school diploma or GED | 30% |
| Postsecondary credential | 20% |
Specific employment barriers
| Were experiencing homelessness | 6% |
Program implementation
Implementing organization:
Program history:
Program services:
Mandatory services:
Comparison services:
Service receipt duration:
Program funding:
Study publications
Evans, William N., Shawna Kolka, James X. Sullivan, and Patrick S. Turner (2023). Fighting poverty one family at a time: Experimental evidence from an intervention with holistic, individualized, wrap-around services, NBER Working Paper No. 30992. National Bureau of Economic Research. Available at: https://www.nber.org/papers/w30992
Evans, William N., Shawna Kolka, James X. Sullivan, and Patrick S. Turner (2023). Fighting poverty one family at a time: Experimental evidence from an intervention with holistic, individualized, wrap-around services, NBER Working Paper No. 30992. National Bureau of Economic Research. [Online Appendix] Available at: https://data.nber.org/data-appendix/w30992/w30992.appendix.pdf
Evans, William N., Shawna Kolka, James X. Sullivan, and Patrick S. Turner (2025). Fighting poverty one family at a time: Experimental evidence from an intervention with holistic, individualized, wrap-around services, American Economic Journal: Economic Policy 17(1): 311-361. Available at: https://doi.org/10.1257/pol.20200716
Evans, William N., Shawna Kolka, James X. Sullivan, and Patrick S. Turner (2025). Fighting poverty one family at a time: Experimental evidence from an intervention with holistic, individualized, wrap-around services, American Economic Journal: Economic Policy 17(1): 311-361. [Online Appendix] Available at: https://www.aeaweb.org/content/file?id=22120
View the glossary for more information about these and other terms used on this page.
Pathways to Work refers to programs by the names used in study reports or manuscripts. Some program names may use language that is not consistent with our style guide, preferences, or the terminology we use to describe populations.
101022-Study of Padua Pilot