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  • paperIJHMrevised_AutoRecovered_1_FK_002_

    Rights statement: This is the author’s version of a work that was accepted for publication in International Journal of Hospitality Management. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Hospitality Management, 103, 2022 DOI: 10.1016/j.ijhm.2022.103223

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    Available under license: CC BY-NC-ND: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License

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Measuring managerial ability in the hotel industry

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Article number103223
<mark>Journal publication date</mark>31/05/2022
<mark>Journal</mark>International Journal of Hospitality Management
Volume103
Number of pages6
Publication StatusPublished
Early online date23/04/22
<mark>Original language</mark>English

Abstract

This note develops and implements a novel model to estimate managerial ability for different hotels over time. Our model is a dynamic Multiple Indicator Multiple Causes (MIMIC) model. We use Bayesian techniques organized around Markov Chain Monte Carlo and we perform detailed posterior sensitivity with respect to the prior. We propose estimating managerial ability using accounting data only, hence facilitating more studies and hypothesis testing in this area.

Bibliographic note

This is the author’s version of a work that was accepted for publication in International Journal of Hospitality Management. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Hospitality Management, 103, 2022 DOI: 10.1016/j.ijhm.2022.103223