Parametric and nonparametric approaches to price and tax reform

• 成果类型: Article
• 署名作者: Deaton, A; Ng, S
• 署名单位: Princeton University; Boston College
• 刊物名称: JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
• ISSN/ISSBN: 0162-1459
• DOI: 10.2307/2669828
• 发表日期: 1998
• 页码: 900-909
• 关键词: regression; coefficients

摘要

In many public policy problems, we need to estimate the way in which policy changes affect people's behavior. In the analysis of tax and subsidy reform-the topic of this article-we need to know how tax-induced price changes affect the amounts that people buy of the taxed goods. We present various economic and statistical approaches to obtaining the required estimates. We consider the standard structural methods in economics, where the behavior and welfare of individual agents are captured simultaneously by the specification of utility functions whose parameters are to be estimated. We argue that these methods are less useful than alternatives that directly consider the derivatives of the re,regression function of average behavior. We consider both parametric and nonparametric estimators of these derivatives in the context of price reform For foods in Pakistan, focussing on the advantages and disadvantages of average derivative estimation (ADE). ADE is attractive in principle, because it directly estimates the statistics required for policy analysis. In the practical case considered here, neither technique is a clear winner; each has strengths and weaknesses.