Nonparametric identification of discrete choice models with lagged dependent variables
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DOI: 10.1016/j.jeconom.2019.08.005
Abstract: Variation in covariates can be used to nonparametrically identify a discrete choice model with a lagged dependent variable and discrete unobserved heterogeneity (Kasahara and Shimotsu, 2009; Browning and Carro, 2014). In some cases the number… read more here.
Keywords: lagged dependent; identification discrete; identification; discrete choice ... See more keywords