NBER Publications by Dmitry Taubinsky

We show how the traditional logic of Pigouvian externality taxes changes if consumers under-value energy costs when buying energy-using durables such as cars and air conditioners. First, with undervaluation, there is an "Internality Dividend" from externality taxes: aside from reducing the provision of public bads, they also reduce allocative inefficiencies caused by consumers' underinvestment in energy efficient durables. Second, although Pigouvian taxes are clearly the preferred policy mechanism when externalities are the only market failure, undervaluation provides an "Internality Rationale" for alternative policies such as product subsidies that reduce the relative price of energy efficient durables. However, when some consumers misoptimize and others do not, a crucial quantity for pol...

We use two different approaches to measure intertemporal preferences. First we employ the classical method of inferring preferences from a series of choices (subjects choose between $X now or $Y in D days). Second we adopt the novel approach of inferring preferences using only response time data from the same choices (how long it takes subjects to choose between $X now or $Y in D days). In principle, the inference from response times should work, since choices between items of nearly equivalent value should take longer than choices between items with substantially different values. We find that choice-based analysis and response-time-based analysis yield nearly identical discount rate estimates. We conclude that response time data sheds light on both our revealed (choice-based) preferences...

We estimate discount rates of 555 subjects using a laboratory task and find that these individual discount rates predict inter-individual variation in field behaviors (e.g., exercise, BMI, smoking). The correlation between the discount rate and each field behavior is small: none exceeds 0.28 and many are near 0. However, the discount rate has at least as much predictive power as any variable in our dataset (e.g., sex, age, education). The correlation between the discount rate and field behavior rises when field behaviors are aggregated: these correlations range from 0.09-0.38. We present a model that explains why specific intertemporal choice behaviors are only weakly correlated with discount rates, even though discount rates robustly predict aggregates of intertemporal decisions.