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作者：Blundell, Richard; Browning, Martin; Crawford, Ian
作者单位：University of London; University College London; IFS; University of Oxford; University of Surrey
摘要：There are three key dimensions by which revealed preference bounds on consumer demand responses can be improved. The first relates to the improvements that arise from using expansion paths for given relative prices, E-bounds. The second concerns the addition of new price information. Thirdly, there are improvements due to assuming separability. Our previous research has examined the first two cases. In this article, we show how to impose separability assumptions within a fully nonparametric an...
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作者：Lewbel, Arthur
作者单位：Boston College
摘要：Let y be a vector of endogenous variables and let w be a vector of covariates, parameters, and errors or unobservables that together are assumed to determine y. A structural model y = H(y, w) is complete and coherent if it has a well-defined reduced form, meaning that for any value of w there exists a unique value for y. Coherence and completeness simplifies identification and is required for many estimators and many model applications. Incoherency or incompleteness can arise in models with mu...
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作者：Rigobon, Roberto; Stoker, Thomas M.
作者单位：Massachusetts Institute of Technology (MIT)
摘要：We study issues that arise for estimation of a linear model when a regressor is censored. We discuss the efficiency losses from dropping censored observations, and illustrate the losses for bound censoring. We show that the common practice of introducing a dummy variable to '' correct for '' censoring does not correct bias or improve estimation. We show how censored observations generally have zero semiparametric information, and we discuss implications for estimation. We derive the likelihood...
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作者：Athey, Susan; Imbens, Guido W.
作者单位：Harvard University
摘要：Since the pioneering work by Daniel McFadden, utility-maximization-based multinomial response models have become important tools of empirical researchers. Various generalizations of these models have been developed to allow for unobserved heterogeneity in taste parameters and choice characteristics. Here we investigate how rich a specification of the unobserved components is needed to rationalize arbitrary choice patterns in settings with many individual decision makers, multiple markets, and ...
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作者：Cunha, Flavio; Heckman, James J.; Navarro, Salvador
作者单位：University of Chicago; University of Pennsylvania; University College Dublin; University of Wisconsin System; University of Wisconsin Madison
摘要：This article extends the widely used ordered choice model by introducing stochastic thresholds and interval-specific outcomes. The model can be interpreted as a generalization of the GAFT (MPH) framework for discrete duration data that jointly models durations and outcomes associated with different stopping times. We establish conditions for nonparametric identification. We interpret the ordered choice model as a special case of a general discrete choice model and as a special case of a dynami...
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作者：Ai, Chunrong
作者单位：State University System of Florida; University of Florida; Shanghai University of Finance & Economics
摘要：This article studies estimation of a conditional moment restriction model with the seminonparametric maximum likelihood approach proposed by Gallant and Nychka (Econometrica 55 (March 1987), 363-90). Under some sufficient conditions, we show that the estimator of the finite dimensional parameter theta is asymptotically normally distributed and attains the semiparametric efficiency bound and that the estimator of the density function is consistent under L-2 norm. Some results on the convergence...
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作者：Keane, Michael P.; Wolpin, Kenneth I.
作者单位：University of Pennsylvania; University of Technology Sydney; Arizona State University; Arizona State University-Tempe
摘要：A particularly challenging use of decision-theoretic models in economics is to forecast the impact of large changes in the environment. The problem we explore in this article is how to gain confidence in a model's ability to predict the impact of such large changes. We show that an approach to validation and model selection that includes the choice of a '' nonrandom holdout sample,'' a sample that differs significantly from the estimation sample along the policy dimension that the model is mea...
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作者：Matzkin, Rosa L.
作者单位：University of California System; University of California Los Angeles
摘要：I present nonparametric methods to identify and estimate the biases associated with response errors. When applied to survey data, these methods can be used to analyze how observable and unobservable characteristics of the respondent, and characteristics of the design of the survey, affect errors in the responses. This provides a method to correct the biases that those errors generate, by using the estimated response errors to '' undo '' those biases. The results are useful also to design bette...
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作者：Aradillas-Lopez, Andres; Honore, Bo E.; Powell, James L.
作者单位：Princeton University; University of California System; University of California Berkeley
摘要：This article extends the pairwise difference estimators for various semilinear limited dependent variable models proposed by Honore and Powell (Identification and Inference in Econometric Models. Essays in Honor of Thomas Rothenberg Cambridge: Cambridge University Press, 2005) to permit the regressor appearing in the nonparametric component to itself depend upon a conditional expectation that is nonparametrically estimated. This permits the estimation approach to be applied to nonlinear models...
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作者：Harding, Matthew C.; Hausman, Jerry
作者单位：Massachusetts Institute of Technology (MIT); Stanford University
摘要：Current methods of estimating the random coefficients logit model employ simulations of the distribution of the taste parameters through pseudo-random sequences. These methods suffer from difficulties in estimating correlations between parameters and computational limitations such as the curse of dimensionality. This article provides a solution to these problems by approximating the integral expression of the expected choice probability using a multivariate extension of the Laplace approximati...
