The Nested PIGLOG Model: An Application to U.S. Food Demand
提出嵌套PIGLOG需求系统，可嵌套十三种其他需求系统，并应用于美国食品需求数据，发现外出用餐比在家用餐对价格和收入更敏感。
Abstract A new demand system is introduced, the Nested PIGLOG model, nesting thirteen other demand systems including five that are also new. This new model and its nested special cases are applied to models of U.S. food demand that include food‐at‐home (FAH), food‐away‐from‐home (FAFH), and alcoholic beverages. Although nested tests and out‐of‐sample forecasting performance favor generalizing models to a certain degree, statistically insignificant improvements to in‐sample‐fit and even poorer out‐of‐sample forecast accuracy undermine further generalizations. Based on a subset of preferred models, FAFH is found to be price and income elastic compared to FAH which is price and income inelastic.