Control Function Approach for Partly Ordered Endogenous Treatments: Military Rank Premium in Wage

2017 ◽  
Vol 79 (6) ◽  
pp. 1176-1194 ◽  
Author(s):  
Young-Min Ju ◽  
Myoung-Jae Lee

2014 ◽  
Author(s):  
Zineb Abid ◽  
Edoardo Di Porto ◽  
Angela Parenti ◽  
Sonia Paty


2022 ◽  
Author(s):  
Daniel Garcia ◽  
Juha Tolvanen ◽  
Alexander K. Wagner

We provide a new framework to identify demand elasticities in markets where managers rely on algorithmic recommendations for price setting and apply it to a data set containing bookings for a sample of midsized hotels in Europe. Using nonbinding algorithmic price recommendations and observed delay in price adjustments by decision makers, we demonstrate that a control-function approach, combined with state-of-the-art model-selection techniques, can be used to isolate exogenous price variation and identify demand elasticities across hotel room types and over time. We confirm these elasticity estimates with a difference-in-differences approach that leverages the same delays in price adjustments by decision makers. However, the difference-in-differences estimates are more noisy and only yield consistent estimates if data are pooled across hotels. We then apply our control-function approach to two classic questions in the dynamic pricing literature: the evolution of price elasticity of demand over and the effects of a transitory price change on future demand due to the presence of strategic buyers. Finally, we discuss how our empirical framework can be applied directly to other decision-making situations in which recommendation systems are used. This paper was accepted by Omar Besbes, revenue management and market analytics.



2016 ◽  
pp. lbw008 ◽  
Author(s):  
Edoardo Di Porto ◽  
Angela Parenti ◽  
Sonia Paty ◽  
Zineb Abidi


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