CCP Estimation of Dynamic Discrete Choice Demand Models with Segment Level Data and Continuous Unobserved Heterogeneity: Rethinking EV Subsidies vs. Infrastructure
References
- (2020) Identifying the discount factor in dynamic discrete choice models. Quant. Econom. 11(2):471–501.Crossref, Google Scholar
- (2021) Dynamic decisions under subjective expectations: A structural analysis. J. Econometrics 222(1, Part C):645–675.Crossref, Google Scholar
- (2011) Conditional choice probability estimation of dynamic discrete choice models with unobserved heterogeneity. Econometrica 79(6):1823–1867.Crossref, Google Scholar
- (2020) Identifying dynamic discrete choice models off short panels. J. Econometrics 215(2):473–485.Crossref, Google Scholar
- (2016) Identification and semiparametric estimation of a finite horizon dynamic discrete choice model with a terminating action. Quant. Marketing Econom. 14(4):271–323.Crossref, Google Scholar
- (1994) Estimating discrete-choice models of product differentiation. RAND J. Econom. 25(2):242–262.Crossref, Google Scholar
- (2014) Identification in differentiated products markets using market level data. Econometrica 82(5):1749–1797.Crossref, Google Scholar
- Berry ST, Haile PA (2024) Nonparametric identification of differentiated products demand using micro data. Econometrica 92:1135–1162.Google Scholar
- (1995) Automobile prices in market equilibrium. Econometrica 63(4):841–890.Crossref, Google Scholar
- (2019) Linear estimation of aggregate dynamic discrete demand for durable goods: Overcoming the curse of dimensionality. Marketing Sci. 38(5):888–909.Link, Google Scholar
- (2019) A simple and robust estimator for discount factors in optimal stopping dynamic discrete choice models. Preprint, submitted September 20, http://dx.doi.org/10.2139/ssrn.3456840.Crossref, Google Scholar
- (2019) Estimating dynamic discrete choice models with aggregate data: Small sample properties of the inclusive value approximation. Quant. Marketing Econom. 17(4):359–384.Crossref, Google Scholar
- (2012) Improving the numerical performance of static and dynamic aggregate discrete choice random coefficients demand estimation. Econometrica 80(5):2231–2267.Crossref, Google Scholar
- (2023) Has consumer acceptance of electric vehicles been increasing? Evidence from microdata on every new vehicle sale in the United States. AEA Papers Proc. 113:329–335.Crossref, Google Scholar
- (2011) Does AMD spur Intel to innovate more? J. Political Econom. 119(6):1141–1200.Crossref, Google Scholar
- (2012) Dynamics of consumer demand for new durable goods. J. Political Econom. 120(6):1173–1219.Crossref, Google Scholar
- (2003) Efficient estimation of average treatment effects using the estimated propensity score. Econometrica 71(4):1161–1189.Crossref, Google Scholar
- (1993) Conditional choice probabilities and the estimation of dynamic models. Rev. Econom. Stud. 60(3):497–529.Crossref, Google Scholar
- (2012) Nonparametric identification of dynamic models with unobserved state variables. J. Econometrics 171(1):32–44.Crossref, Google Scholar
- (2017) A simple estimator for dynamic models with serially correlated unobservables. J. Econom. Methods 6(1):20150011.Crossref, Google Scholar
- Imai S, Jain N, Ching A (2009) Bayesian estimation of dynamic discrete choice models. Econometrica 77:1865–1899.Google Scholar
- (2009) Nonparametric identification of finite mixture models of dynamic discrete choices. Econometrica 77(1):135–175.Crossref, Google Scholar
- (2002) Identifying dynamic discrete decision processes. Econometrica 70(2):801–816.Crossref, Google Scholar
- (2013) Demand for differentiated durable products: The case of the US computer printer market. Econom. Inquiry 51(2):1277–1298.Crossref, Google Scholar
- (2009) Inference in dynamic discrete choice models with serially correlated unobserved state variables. Econometrica 77(5):1665–1682.Crossref, Google Scholar
- (2020) Early adopters and their motives: Differences between earlier and later adopters of residential solar photovoltaics. Renewable Sustainable Energy Rev. 133:110142.Crossref, Google Scholar
- (2020) Real-world usage of plug-in hybrid electric vehilces fuel consumption, electric driving, and CO2 emissions. The International Council of Clean Transportation White Paper. https://theicct.org/wp-content/uploads/2021/06/PHEV-FS-EN-sept2020-0.pdf.Google Scholar
- (2003) A micromodel of new product adoption with heterogeneous and forward-looking consumers: Application to the digital camera category. Quant. Marketing Econom. 1(4):371–407.Crossref, Google Scholar
- (2012) Semiparametric estimation of Markov decision processes with continuous state space. J. Econometrics 166(2):320–341.Crossref, Google Scholar
- Su C-L, Judd KL (2012) Constrained optimization approaches to estimation of structural models. Econometrica 80:2213–2230.Google Scholar
- (2019) A computationally efficient fixed point approach to dynamic structural demand estimation. J. Econometrics 208(2):563–584.Crossref, Google Scholar
- (2007) Vertical relationships between manufacturers and retailers: Inference with limited data. Rev. Econom. Stud. 74(2):625–652.Crossref, Google Scholar
- (2018) Technology adoption and critical mass: The case of the US electric vehicle market. J. Industrial Econom. 66(2):423–480.Crossref, Google Scholar

