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利用单调性限制识别含部分潜在协变量的模型AI 解读

This paper develops a new method for identifying econometric models with partially latent covariates. Such data structures arise in industrial organization and labor economics settings where data are collected using an input-based sampling strategy, e.g., if the sampling unit is one of multiple labor input factors. We show that the latent covariates can be nonparametrically identified, if they are functions of a common shock satisfying some plausible monotonicity…

大都市住房市场均衡模型估计的新方法AI 解读

We provide a new estimator for a broad class of equilibrium models of metropolitan housing markets with housing differentiated by quality. Quality is a latent variable that captures all features of a dwelling and its environment. We estimate the model for Chicago and New York, obtaining hedonic housing price functions for each quality level for each metropolitan area, stocks of each quality, and compensating variations required for a household of a given income in Chicago to…

公共住房超额需求模型的估计AI 解读

The purpose of this paper is to develop and estimate a new equilibrium model of public housing that acknowledges the fact that the demand for public housing may exceed the available supply. We show that ignoring these supply side restrictions leads to an inconsistent estimator of household preferences. We estimate the parameters of the model based on a unique panel data set of low-income households in Pittsburgh. We find that public housing is an attractive option for…

高等教育市场中的招生、学费与经济资助政策AI 解读

We present an equilibrium model of the market for higher education. Our model simultaneously predicts student selection into institutions of higher education, financial aid, educational expenditures, and educational outcomes. We show that the model gives rise to a strict hierarchy of colleges that differ by the educational quality provided to the students. We also develop a new estimation procedure that exploits the observed variation in prices within colleges.…

平均导数与平均差分的核估计AI 解读

In this article we consider the problem of estimating average derivatives and differences using kernel estimators. Our analysis focuses on developing new methods that are appropriate in the context of bounded and discrete regressors and do not require higher-order kernels for consistency or asymptotic normality. We derive a new nonparametric estimator that we call the average difference estimator. We show that this estimator is consistent and root-N asymptotically normally…

跨辖区居民分选与多数决：实证分析AI 解读

The goal of this paper is to provide a comprehensive empirical analysis of majority rule and Tiebout sorting within a system of local jurisdictions. The idea behind the estimation procedure is to investigate whether observed levels of public expenditures satisfy necessary conditions implied by majority rule in a general equilibrium model of residential choice. The estimator controls for observed and unobserved heterogeneity among households, observed and unobserved…

家庭行为的跨国微观计量比较AI 解读

This paper reviews the methodological issues associated with estimating and testing competitive markets with panel data and applies it to international economics. The authors investigate differences in housing consumption and male labor supply across households in Germany and the United States. Observations are treated as equilibrium outcomes, generated by a set of competitive markets which accommodate varying degrees of integration. After controlling for differences in the…