Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/124812
Authors: 
Gabriele, Roberto
Tundis, Enrico
Year of Publication: 
2015
Series/Report no.: 
55th Congress of the European Regional Science Association: "World Renaissance: Changing roles for people and places", 25-28 August 2015, Lisbon, Portugal
Abstract: 
A Structural Marginal Model and Inverse Probability of Treatment Weighting (IPTW) estimation strategy is proposed in a dynamic 2-dimensional treatment setting in order to identify and estimate both the direct and the indirect average treatment effects of a policy over time. This approach is used to assess the effect of public capital subsidisation on the competitiveness of firms in the hotel sector in a place-based subsidisation public policy. A positive effect of the policy is estimated on several hotel performance indicators. Moreover, we found that a hotel?s performance depend on whether many or few hotels in its own destination are subsidised.
Subjects: 
longitudinal multiple treatments
counterfactual methods
IPTW estimation
Document Type: 
Conference Paper

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