This paper presents a simple theoretical model of the effects of airline code sharing and antitrust immunity between noncompeting carriers. When carriers without a code sharing agreement or immunized alliance price a route, a double marginalization problem arises. Immunized alliances internalize...

This paper uses merger simulations to predict post-merger prices for six major airline mergers from the 1980's, and compares these predictions with actual post-merger prices. Simulations which incorporate varying degrees of post-merger information allow us to decompose the actual price changes...

This paper studies the causal relationship between proximity and knowledge diffusion by exploiting sudden changes in travel time following the introduction of new flight routes. We find that decreasing travel time between U.S. cities by 20% increases knowledge flow by 0.5%, which corresponds to...

Airlines showcase their on-time performance (OTP), a globally accepted operational performance metric, to demonstrate punctuality, service reliability, and attract air travelers. Airlines adopt passive strategies, such as \schedule padding" and active processes, such as making operational...

Aviation industry already developing with globalization and as a result of increasing trade volume supports more than 87M jobs direct or indirectly and creates 3.5% of global GDP. Despite to the earnings of sector to economy and tourism annually 915M Tons of CO2 emtitted to nature as 2019. This...

Currently, flight delays are common and they propagate from an originating flight to connecting flights, leading to large disruptions in the overall schedule. These disruptions cause massive economic losses, affect airlines' reputations, waste passengers' time and money, and directly impact the...

Forecasting stock market movements is a challenging task from the practitioners' point of view. We explore how model selection via the least absolute shrinkage and selection operator (LASSO) approach can be better used to forecast stock closing prices using real-world datasets of daily stock...

In recent decades full-service airlines have targeted price-sensitive passengers, traditionally targeted by low-cost airlines, by promoting their economy class options. This paper aims to guide both types of airlines in promoting their economyclass options by utilizing factors influencing...

This research addresses the challenges of multi-attribute group decision-making in a hesitant fuzzy environment, where randomness and uncertainty introduce biases into practical making choices. A probability-based double uncertain fuzzy (PDHF) algorithm is proposed to overcome these challenges....