Measuring the price responsiveness of gasoline demand: Economic shape restrictions and nonparametric demand estimation

By Richard Blundell, Joel L. Horowitz, M. Parey. 2011

118 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Marketing, Renewable Energy, Sustainability and the Environment

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Citations in the corpus

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). Formally, the parameter of interest is the average derivative of log demand with respec”
Nonparametric Instrumental Variable Estimation Under Monotonicity (2015, methodology): “Hausman and Newey (1995) and Blundell, Horowitz, and Parey (2012), for example, demonstrate the importance of employing flexible estimators of g that do not suffer from misspecification bias due to arbitrary restrictions in the model.”
High Frequency Evidence on the Demand for Gasoline (2017, background): “…and government studies evaluating potential policy interventions in gasoline markets frequently rely on estimates from this literature or adopt the same problematic methods to obtain estimates despite the fact that the elasticity values can often substantially impact predicted policy outcomes.”
Simultaneous inference for Best Linear Predictor of the Conditional Average Treatment Effect and other structural functions (2017, methodology): “The dependence of the price elasticity on the household income was highlighted in Blundell et al. (2012), who have estimated the elasticity by low, middle, and high-income groups and found its relationship with income to be non-monotonic.”
Nonparametric Welfare Analysis for Discrete Choice (2014, background): “Hoderlein and Vanhems 2011, Blundell et al 2012, 2013 and Lewbel and Pendakur, 2013 among others discuss demand and welfare estimation for continuous choice under restricted heterogeneity.”