In absence of randomized controlled experiments, identification is often aimed via instrumental variable (IV … design credible identification strategies, aforemost finding candidates for valid instruments. We discuss prominent IV …

We provide a new framework to identify demand elasticities in markets where managers rely on algorithmic … identify demand elasticities across hotel room types and over time. We confirm these elasticity estimates with a difference …-function approach to two classic questions in the dynamic pricing literature: the evolution of price elasticity of demand over time as …

We propose a new instrument for estimating the price elasticity of gasoline demand that exploits systematic differences … response to an aggregate oil price shock. Time-varying estimates do not support the view that the gasoline demand elasticity … rose to about -0.2 in 2015-16, but has remained stable since 2016. Gasoline demand is more responsive in states with lower …

unconventional, puzzling or erroneous conclusions. Finally, we discuss the construction of extraneous measures of oil demand and oil …

inferential problems that persist even in large samples. In the presence of partially identification problems, we show that an … likelihood framework using the 2013 SCF data for the U.S. confirms the results from our identification experiments. …

study the correlation of the estimated parameters and markups with the firm-level productivity growth. Second, the paper … contributes to literature on the structural identification of production functions in two ways. As a first step, it reviews the … price, and the collinearity among input factors of production. Additionally, we propose an identification strategy that …