This paper uses an experiment to identify what modelling decisions significantly affect estimates of own-price elasticity for non-residential electricity demands in the United States (U.S.). Based on ~175,000 panel data analyses of 10,944 monthly observations by state available from the Energy...

We study a personalized pricing problem with demand censoring in an offline data-driven setting. In this problem, a firm is endowed with a finite amount of inventory, and faces a random demand that is dependent on the offered price and the covariates (from products, customers, or both). Any...

When regions in close proximity have different tax rates, residents may engage in cross-border shopping and take advantage of tax differentials. The extent of this activity can be captured by the tax elasticity of border sales (TEBS). We collect 749 estimates of TEBS reported in 60 studies, and...

This paper estimates consumer demand for firearms with the aim of evaluating the likely impacts of firearm regulations. We first conduct a stated-choice-based conjoint analysis and estimate an individual-level demand model for firearms. We validate our estimates using aggregate moments from...

We consider an infinite-horizon multi-product dynamic pricing problem with reference effects in a monopolistic setting, where the reference price is an exponentially weighted average of historical prices. In each period, the demand follows the multinomial logit (MNL) model, where the utility...

A new generation of technology disrupts the diffusion of the earlier generation. Our objectives are: (1) to analyze price elasticity during generational transition via a multi-country, multiple generations model embedding the effects of competitive and environmental covariates; (2) to understand...

Pricing technology that allows firms to rapidly adjust prices has two potential benefits. Prices can respond more rapidly to demand shocks, leading to higher revenues. On the other hand, time-varying prices can be used to smooth out demand across periods, reducing costs in markets with capacity...