The Impact of ABAWD Time Limit Reinstatement on SNAP Participation and Employment.

OBJECTIVE: Estimate the impact of the Supplemental Nutrition Assistance Program (SNAP) time limit for able-bodied adults without dependents (ABAWD) on SNAP participation, employment, and earnings. DESIGN: A quasi-experimental study using state administrative SNAP and earnings data to compare outcomes for SNAP participants before and after the time limit went into effect. PARTICIPANTS: Supplemental Nutrition Assistance Program participants in the study cohorts in Colorado, Missouri, and Pennsylvania (N = 153,599). MAIN OUTCOME MEASURES: Monthly SNAP participation, quarterly employment, annual earnings. ANALYSIS: Logistic and ordinary least squares multivariate regression models. RESULTS: Time limit reinstatement reduced SNAP participation by 7 to 32 percentage points in the 12th month of time limit reinstatement but did not generate evidence of improved employment or annual earnings (1 year after time limit reinstatement, employment decreased by 2 to 7 percentage points and annual earnings decreased by $247 to $1,230). CONCLUSIONS AND IMPLICATIONS: The ABAWD time limit reduced SNAP participation but did not improve employment and earnings. SNAP may provide helpful support to participants as they seek to enter or re-enter employment, and removing this support may be detrimental to their employment prospects. These findings can inform decisions about requesting waivers or pursuing changes to ABAWD legislation or regulations.

Impact of Food Insecurity Nutrition Incentives on Household Fruit and Vegetable Expenditures.

OBJECTIVE: Evaluate the impact of the Food Insecurity Nutrition Incentive (FINI) grant program on self-reported fruit and vegetable (FV) expenditures. DESIGN: Pre-post quasi-experimental study design. SETTING: Farmers markets and grocery stores in states with FINI projects. PARTICIPANTS: A total of 2,471 Supplemental Nutrition Assistance Program (SNAP) households in 4 intervention groups who lived near a FINI retailer (farmers market or grocery store) and 4 matched comparison groups who did not live near a FINI retailer. MAIN OUTCOME MEASURES: Awareness and use of point-of-sale incentives and changes in self-reported monthly household FV expenditures. ANALYSIS: Ordinary least squares intent-to-treat regression model using lagged dependent variable model framework. RESULTS: Awareness of FINI was higher among households who were near a FINI retailer and had shopped there before FINI than those who lived near a FINI retailer but had not shopped there before FINI; the number of information sources from which SNAP participants heard about FINI was positively associated with incentive receipt (P < 0.05). Among those who received incentives, the average amount of incentives received at the last shopping trip ranged from $15 to $23. The FINI program had a positive impact on the average monthly FV expenditures for those in the farmers market shopper, grocery store shopper, and grocery store general intervention groups-increases ranged from $9 to $15 (P < 0.05). CONCLUSIONS AND IMPLICATIONS: Point-of-sale incentives were associated with an increase in FV expenditures among SNAP households. Further research is needed to examine (1) effective messaging strategies to increase incentive awareness and (2) the long-term impact of incentives on FV expenditures.

Impacting Entry into Evidence-Based Supported Employment: A Population-Based Empirical Analysis of a Statewide Public Mental Health Program in Maryland.

We use discrete-time survival regression to study two empirical issues relating to take-up of individual placement and support (IPS) supported employment (SE) services for persons with serious mental illness: (1) the influence of client characteristics on take-up probability, and (2) the possible impacts of a major recent initiative in one state (Maryland) to overcome barriers to IPS-SE expansion. Our longitudinal analysis of population-based Medicaid cohorts, during 2002-2010, provides tentative evidence of positive state initiative impacts on SE take-up rates, and evidence of effects on take-up for clients' diagnoses, prior work-history, health and demographic characteristics, and geographic accessibility to SE providers.