Replication data for: Sharp for SARP: Nonparametric Bounds on Counterfactual Demands

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)

本文推导了反事实需求（counterfactual demands）以及希克斯补偿变差（Hicksian compensating variation）与等价变差（equivalent variation）的紧非参数界（sharp nonparametric bounds）。此类“i界”完善并拓展了布伦德尔（Blundell）、布朗宁（Browning）与克劳福德（Crawford）于2008年提出的早期研究成果。研究表明，由于其推导无需以传递性为前提，他们所提出的界在显示偏好弱公理（Weak Axiom of Revealed Preference，WARP）下是紧的；而本文提出的新界则在显示偏好强公理（Strong Axiom of Revealed Preference，SARP）下同样满足紧性。通过引入传递性假设，新界可用于界定福利测度（welfare measures）。研究进一步证明，此类福利测度的新界可通过易于实现的算法完成实操落地。（JEL分类号：D04、D11）