Pourya Valizadeh
Biographic Data
| ID | 5491422 |
|---|---|
| NAME | Pourya Valizadeh |
| GIVEN NAMES | Pourya |
| FAMILY NAME | Valizadeh |
| SIGNATURE | VALIZADEH P |
| AFFILIATIONS | University of North Carolina at Chapel Hill |
| ORCID | 0000-0001-9564-4754 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Forecasting the path of SNAP spending using state-level panel data models
Forecasting total Supplemental Nutrition Assistance Program (SNAP) spending in the United States is essential for effective budget planning and policy design. We develop panel econometric forecasting models that predict total SNAP spending using a bottom-up approach that models its key components—enrollment, monthly benefits, and administrative expenses—at the state level and aggregates them to the national level. This structure supports conditio…
Broad‐Based Categorical Eligibility Policy and SNAP Participation
The broad‐based categorical eligibility (BBCE) policy allows states to bypass federal gross income and asset tests for supplemental nutrition assistance program (SNAP) eligibility. Policymakers often propose limiting BBCE's scope or eliminating it altogether. Yet, our understanding of BBCE's impact on SNAP participation has relied solely on static two‐way fixed effects (TWFE) estimators, which have been criticized for assuming no treatment effect…
The New school food standards and nutrition of school children
What is driving increases in dietary quality in the United States
What is driving increases in dietary quality in the United States
The New school food standards and nutrition of school children
Broad‐Based Categorical Eligibility Policy and SNAP Participation
The broad‐based categorical eligibility (BBCE) policy allows states to bypass federal gross income and asset tests for supplemental nutrition assistance program (SNAP) eligibility. Policymakers often propose limiting BBCE's scope or eliminating it altogether. Yet, our understanding of BBCE's impact on SNAP participation has relied solely on static two‐way fixed effects (TWFE) estimators, which have been criticized for assuming no treatment effect…
Forecasting the path of SNAP spending using state-level panel data models
Forecasting total Supplemental Nutrition Assistance Program (SNAP) spending in the United States is essential for effective budget planning and policy design. We develop panel econometric forecasting models that predict total SNAP spending using a bottom-up approach that models its key components—enrollment, monthly benefits, and administrative expenses—at the state level and aggregates them to the national level. This structure supports conditio…
Biology (2 works) · Economics (2 works) · Food Science (2 works) · Medicine (2 works) · Obesity, Physical Activity, Diet (2 works) · Psychology (2 works) · Agricultural economics (1 work) · Algorithm (1 work) · Business (1 work) · Child Nutrition and Water Access (1 work)