Sharp for SARP: nonparametric bounds on counterfactual demands

Sharp for SARP: nonparametric bounds on counterfactual demands
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Sharp for SARP：反事实需求的非参数界限

DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Frederic Vermeulen
Frederic Vermeulen
中科院分区：
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文献类型：
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作者：
R. Blundell;M. Browning;L. Cherchye;Ian Crawford;B. Rock;Frederic Vermeulen

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尖锐的非参数界限推导出反事实的需求和希克斯补偿和等效的变化。这些“i界”改进和扩展了Blundell，布朗宁和Crawford（2008）的早期结果。我们表明，他们的界限是尖锐的弱公理显示偏好（WARP），因为他们不需要传递性。新的界限是尖锐的强公理显示偏好（SARP）。通过要求传递性，它们可以用来约束福利措施。福利措施的新的界限被证明是可操作的，通过算法，很容易实现。(JEL D04、D11）
Sharp nonparametric bounds are derived for counterfactual demands and Hicksian compensating and equivalent variations. These "i-bounds" refine and extend earlier results of Blundell, Browning, and Crawford (2008). We show that their bounds are sharp under the Weak Axiom of Revealed Preference (WARP) since they do not require transitivity. The new bounds are sharp under the Strong Axiom of Revealed Preference (SARP). By requiring transitivity they can be used to bound welfare measures. The new bounds on welfare measures are shown to be operationalized through algorithms that are easy to implement. (JEL D04, D11)