Do mergers improve operational performance: A study of the US Domestic Airline Industry

This paper assesses the impact of mergers on four key operational performance metrics in the US domestic airline industry using a dataset from 2000−2015. We identify four mergers that have taken place in the last decade and study the effect of these mergers on our performance metrics. We compare the...

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Main Author: Wong, Alexander/A
Format: Dissertation (University of Nottingham only)
Language:English
Published: 2016
Online Access:https://eprints.nottingham.ac.uk/36432/
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author Wong, Alexander/A
author_facet Wong, Alexander/A
author_sort Wong, Alexander/A
building Nottingham Research Data Repository
collection Online Access
description This paper assesses the impact of mergers on four key operational performance metrics in the US domestic airline industry using a dataset from 2000−2015. We identify four mergers that have taken place in the last decade and study the effect of these mergers on our performance metrics. We compare the performance of our selected airlines before and after each merger, finding that performance post-merger appears to improve relative to pre-merger. We then carry out Fixed Effects Regression on our dataset to ascertain if there are any performance related benefits for airlines involved in mergers. Following this, after attempting to correct for the problem of endogeneity of the merger status of a firm we carry out Two Stage Least Squares Regression. Our results indicate that mergers can benefit the airlines in terms of improved performance though many of our results are not significant. We conclude that mergers in the Airline Industry can result in improvement in the key performance metrics we identify.
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spelling nottingham-364322017-10-19T16:56:02Z https://eprints.nottingham.ac.uk/36432/ Do mergers improve operational performance: A study of the US Domestic Airline Industry Wong, Alexander/A This paper assesses the impact of mergers on four key operational performance metrics in the US domestic airline industry using a dataset from 2000−2015. We identify four mergers that have taken place in the last decade and study the effect of these mergers on our performance metrics. We compare the performance of our selected airlines before and after each merger, finding that performance post-merger appears to improve relative to pre-merger. We then carry out Fixed Effects Regression on our dataset to ascertain if there are any performance related benefits for airlines involved in mergers. Following this, after attempting to correct for the problem of endogeneity of the merger status of a firm we carry out Two Stage Least Squares Regression. Our results indicate that mergers can benefit the airlines in terms of improved performance though many of our results are not significant. We conclude that mergers in the Airline Industry can result in improvement in the key performance metrics we identify. 2016-09-09 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/36432/1/Alex%20Wong%20Dissertation.pdf Wong, Alexander/A (2016) Do mergers improve operational performance: A study of the US Domestic Airline Industry. [Dissertation (University of Nottingham only)]
spellingShingle Wong, Alexander/A
Do mergers improve operational performance: A study of the US Domestic Airline Industry
title Do mergers improve operational performance: A study of the US Domestic Airline Industry
title_full Do mergers improve operational performance: A study of the US Domestic Airline Industry
title_fullStr Do mergers improve operational performance: A study of the US Domestic Airline Industry
title_full_unstemmed Do mergers improve operational performance: A study of the US Domestic Airline Industry
title_short Do mergers improve operational performance: A study of the US Domestic Airline Industry
title_sort do mergers improve operational performance: a study of the us domestic airline industry
url https://eprints.nottingham.ac.uk/36432/