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
Accepted author manuscript, 801 KB, PDF document
Available under license: CC BY-NC-ND: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Measuring managerial ability in the hotel industry
AU - Tsionas, Mike
AU - Assaf, A. George
AU - Kock, Florian
N1 - 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
PY - 2022/5/31
Y1 - 2022/5/31
N2 - 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.
AB - 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.
U2 - 10.1016/j.ijhm.2022.103223
DO - 10.1016/j.ijhm.2022.103223
M3 - Journal article
VL - 103
JO - International Journal of Hospitality Management
JF - International Journal of Hospitality Management
SN - 0278-4319
M1 - 103223
ER -