2020Journal of Hospitality & Tourism ResearchRequires access

The Issue of Endogeneity and Possible Solutions in Panel Data Analysis in The Hospitality Literature

Sungbeen Park, Sujin Song, Seoki Lee

Open publisher page 14 citations

Abstract

This study discusses endogeneity and causality issues in analyzing panel data and presents possible suggestions to alleviate them. Establishing causality is of paramount interest for researchers, yet the hospitality literature has tended to employ econometric techniques that rely heavily on modeling assumptions for endogeneity problems. Accordingly, this article provides practical guidance for hospitality researchers in addressing endogeneity issues when analyzing panel data. Specifically, this article (a) discusses endogeneity issues in the use of panel data, (b) suggests possible remedies to mitigate endogeneity problems, (c) reviews how the existing hospitality literature has previously dealt with such problems, and (d) suggests how hospitality researchers can effectively address endogeneity issues with reference to an example of difference-in-differences methods using restaurant panel data.

About this research paper

What this paper is about

This study discusses endogeneity and causality issues in analyzing panel data and presents possible suggestions to alleviate them. Establishing causality is of paramount interest for researchers, yet the hospitality literature has tended to employ econometric techniques that rely heavily on modeling assumptions for endogeneity problems. Accordingly, this article provides practical guidance for hospitality researchers in addressing endogeneity issues when analyzing panel data. Specifically, this article (a) discusses endogeneity issues in the use of panel data, (b) suggests possible remedies to mitigate endogeneity problems, (c) reviews how the existing hospitality literature has previously dealt with such problems, and (d) suggests how hospitality researchers can effectively address endogeneity issues with reference to an example of difference-in-differences methods using restaurant panel data.

Why it matters

OpenAlex reports 14 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

This study discusses endogeneity and causality issues in analyzing panel data and presents possible suggestions to alleviate them. Establishing causality is of paramount interest for researchers, yet the hospitality literature has tended to employ econometric techniques that rely heavily on modeling assumptions for endogeneity problems. Accordingly, this article provides practical guidance for hospitality researchers in addressing endogeneity issues when analyzing panel data. Specifically, this article (a) discusses endogeneity issues in the use of panel data, (b) suggests possible remedies to mitigate endogeneity problems, (c) reviews how the existing hospitality literature has previously dealt with such problems, and (d) suggests how hospitality researchers can effectively address endogeneity issues with reference to an example of difference-in-differences methods using restaurant panel data.

Key concepts: Endogeneity, Hospitality, Panel data, Causality (physics), Economics, Econometrics, Hospitality industry, Panel analysis

Related papers

Back to paper searchBrowse research topicsOriginal source
The Issue of Endogeneity and Possible Solutions in Panel Data Analysis in The Hospitality Literature — Research Paper | ScholarLens