Determinants of the effective tax rate in the tourism sector. A dynamic Panel Data Model

Authors

  • José Moreno-Rojas
  • María Rosario González-Rodríguez University of Seville
  • Rosario Carmen Martín-Samper University of Seville

DOI:

https://doi.org/10.18089/

Keywords:

Effective Tax Rate, Asset composition, Firm size, Financial structure, Equity, Dynamic panel data, ROA

Abstract

This paper presents a dynamic model of the Effective Tax Rate (ETR) in the tourism sector. A dynamic model where the lagged endogenous variable ETR has been included as a regressor to identify the dynamic structure of the variable due to the existence of temporal adjustments between the short and long run in ETR payments has been estimated. The empirical analysis based on a panel data set over the 2008-2013 period explores the determinants of the ETR variable by using a Generalised Method of Moments (GMM) estimator controlling for heterogeneity in the tourism sector. The Arellano-Bond system GMM estimator has been used to estimate the model. The study seeks to shed light on the determinants of tax burden in the tourism sector covering the lack of studies on this topic

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Published

31.07.2017

Issue

Section

Tourism/Hospitality: Research Papers

How to Cite

Moreno-Rojas, J., González-Rodríguez, M. R., & Martín-Samper, R. C. (2017). Determinants of the effective tax rate in the tourism sector. A dynamic Panel Data Model. Tourism & Management Studies, 13(3), 31-38. https://doi.org/10.18089/

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