Correcting for endogeneity in hospitality and tourism research
A. George Assaf, Efthymios G. Tsionas
Abstract
Open-access reader
A. George Assaf, Efthymios G. Tsionas
Abstract
Open-access reader
Purpose This paper aims to foster a new discussion on endogeneity in hospitality and tourism research. Design/methodology/approach This paper elaborates on some of the common sources of endogeneity and the methods available to address them. Findings The authors present a variety of methods that can be used to mitigate the endogeneity problem. The authors provide simulation evidence regarding the risk of incorrectly selecting instrumental variables. The authors also provide several important practical recommendations for future research. Research limitations/implications There are other issues and methods of correcting for endogeneity, that is not covered in this paper. However, the paper focuses on issues and methods that can be generalized to most contexts. Originality/value The paper provides practical recommendations for more rigorous regression estimation.
OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Purpose This paper aims to foster a new discussion on endogeneity in hospitality and tourism research. Design/methodology/approach This paper elaborates on some of the common sources of endogeneity and the methods available to address them. Findings The authors present a variety of methods that can be used to mitigate the endogeneity problem. The authors provide simulation evidence regarding the risk of incorrectly selecting instrumental variables. The authors also provide several important practical recommendations for future research. Research limitations/implications There are other issues and methods of correcting for endogeneity, that is not covered in this paper. However, the paper focuses on issues and methods that can be generalized to most contexts. Originality/value The paper provides practical recommendations for more rigorous regression estimation.
Key concepts: Endogeneity, Tourism, Hospitality, Variety (cybernetics), Instrumental variable, Econometrics, Estimation, Originality