Econometrics and Economic Theory in the 20th Century: Nonparametric Estimation of Exact Consumer Surplus and Deadweight Loss

By Jerry A. Hausman, Whitney K. Newey. 1999

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Double/De-Biased Machine Learning of Global and Local Parameters Using Regularized Riesz Representers (2018, background): “This parameter is critical for assessing the welfare consequences of tax changes, and it has been studied in Hausman and Newey (1995); Schmalensee and Stoker (1999); Yatchew and No (2001); Blundell et al. (2012).”
A simple ordered data estimator for inverse density weighted expectations (2007, background): “…of moments from binomial data (Lewbel, 1997, McFadden, 1999, Lewbel, Linton and McFadden, 2002), semiparametric estimators of consumer surplus (Hausman and Newey, 1995, Newey, 1997), some discrete choice, sample selection, and other latent variable model estimators (Lewbel, 1998, 2000, 2002),…”
Contingent Valuation: From Dubious to Hopeless (2012, background): “(For a discussion of the Hicksian basis for welfare analysis, see Hausman 1981, and Hausman and Newey 1995.)”
Nonparametric Instrumental Variable Estimation Under Monotonicity (2015, background): “ts as nite-sample phenomena that arise because the unconstrained nonparametric estimators are too imprecise. The wide condence bands of the unconstrained NPIV estimator are consistent with this view.Hausman and Newey (1995) andHorowitz and Lee(2012) nd similar anomalies in their nonparametric estima”
Sources of Bias and Solutions to Bias in the Consumer Price Index (2003, unknown): “For a discussion, see, for example, Hausman (1981) or Hausman and Newey (1995). quality of goods may also decrease.”
Semiparametric instrumental variable estimation of treatment response models (2003, unknown): “assumptions, and for r equal to the number of covariates that enter � 0 nonparametrically (see Hausman and Newey, 1995 ).”
Linear Inverse Problems in Structural Econometrics Estimation Based on Spectral Decomposition and Regularization (2003, unknown): “…may be endogenous and mF may be de ned by: E(Y jW1 = w1;W2 = w2) = E(mF (Z;W1)jW1 = w1;W2 = w2) (1.32) Economic applications can be found in Hausman (1981, 1985) and Hausman and Newey (1995) and a theoretical treatment of these two problems is given by Vanhems (2006) and Loubes and Vanhems (2001).”
Measuring the price responsiveness of gasoline demand: Economic shape restrictions and nonparametric demand estimation (2011, unknown): “We build on Hausman and Newey (1995), who also used nonparametric methods to estimate gasoline demand.”