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This paper investigates and extends the computationally attractive nonparametric random coefficients estimator of Fox, Kim, Ryan, and Bajari (2011). We show that their estimator is a special case of the nonnegative LASSO, explaining its sparse nature observed in many applications. Recognizing...
Persistent link: https://www.econbiz.de/10012099239
This paper investigates and extends the computationally attractive nonparametric random coefficients estimator of Fox, Kim, Ryan, and Bajari (2011). We show that their estimator is a special case of the nonnegative LASSO, explaining its sparse nature observed in many applications. Recognizing...
Persistent link: https://www.econbiz.de/10012109678
The delisting of brands is frequently used by retailers to strengthen their negotiating position with the manufacturers and suppliers of their product assortment. However, retailers and manufacturers have to consider the risk of potential reactions when customers are faced with a reduced or...
Persistent link: https://www.econbiz.de/10010281548
It is a common finding in empirical discrete choice studies that the estimated mean relative values of the coefficients (i.e. WTP's) from multinomial logit (MNL) estimations differ from those calculated using mixed logit estimations, where the mixed logit has the better statistical fit. However,...
Persistent link: https://www.econbiz.de/10011379636
The delisting of brands is frequently used by retailers to strengthen their negotiating position with the manufacturers and suppliers of their product assortment. However, retailers and manufacturers have to consider the risk of potential reactions when customers are faced with a reduced or...
Persistent link: https://www.econbiz.de/10008749823
Network planning models, which forecast the profitability of airline schedules, support many critical decisions, including equipment purchase decisions. Network planning models include an itinerary choice model which is used to allocate air total demand in a city pair to different itineraries....
Persistent link: https://www.econbiz.de/10013000495
In regression discontinuity designs with multiple running variables (MRD), units are assigned different treatments based on whether their values on several observed running variables exceed known thresholds. In such designs, applied work commonly analyzes each running variable separately,...
Persistent link: https://www.econbiz.de/10014346291
Persistent link: https://www.econbiz.de/10010192152
A Bayesian analysis is given of a random effects probit model that allows for heteroscedasticity. Real and simulated … examples illustrate the approach and show that ignoring heteroscedasticity when it exists may lead to biased estimates and poor …
Persistent link: https://www.econbiz.de/10014215204
Persistent link: https://www.econbiz.de/10014107078