Abstract

Monthly national and state-level U.S. data for the period 1997-2012 associated with macroeconomic shocks and participation in food assistance programs were used to model dynamics using polynomial distributed lags and vector autoregression approaches. Contemporaneous causal flows of macroeconomic shocks and participation in food assistance programs were modeled using directed acyclic graphs. With a more accurate set of predictions associated with participation rates in food assistance programs based on macroeconomic drivers or shocks, policy makers will be in better position to assess program costs and to minimize errors in the budgetary process.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.