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The Influence of CRM Implication on Air Transportation Safety

Student: Ferentsi Vlad

Supervisor: Valentina Kuskova

Faculty: International College of Economics and Finance

Educational Programme: Double degree programme in Economics of the NRU HSE and the University of London (Bachelor)

Year of Graduation: 2018

The paper investigates the impact of Crew Resource Management training program on the safety of air transportation in the U.S. The influence analysis is conducted using OLS regression approach and Research Discontinuity Design RDD approaches, Bayesian and OLS based. All the typical indicators of flight safety, such as number of fatalities and number of air accidents are chosen as response variables with a set of explanatory variables formed on the basis of previous researches and existing statistical data on various performance indicators of commercial air fleet. CRM impact is estimated using the concept of structural break. The data used is a time series dataset for the period 1960-2014. The OLS regression analysis results revealed no air transportation safety dependence on CRM trainings’ program, the structural break variable was proven to be insignificant in all OLS cases. All the results were checked for endogeneity, white noise and normality and revealed no problems. The data distribution in the RDD-based models showed normal distribution around the threshold, ruling out the changes due to CRM implication. The results also showed the dependence of safety indicators on several other variables, such as passenger-miles and aircraft-miles, number of departures and average of air fleet. Obtained results may be potentially interesting for the airlines’ management and the dataset and models may be used for future research on the topic.

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