Tiebout Bias and the Demand for Local Public Schooling
指出，当人们根据公共品数量和质量选择社区时，传统需求估计会产生“蒂布特偏差”，并提出改进的最大似然估计方法，应用于密歇根州地方公立教育数据。
Until recently, estimates of demand functions for public goods were obtained (either with aggregate or micro survey data) using single equation estimation techniques. However, demand estimates may be biased when in dividuals' choices of communities are dependent upon the quantity and quality of public good provided. This paper spells out the nature of this bias (called Tiebout bias) and suggests an improved maximum-likelihood estimation technique. The technique is applied to a data set involving local public education in Michigan. Copyright 1987 by MIT Press.