Decision Science Commons^™

Airline Ticket Anaysis, Emerson Kohl, Ivan O'Neil

Discovery Day - Daytona Beach

While the U.S. domestic airline industry generates hundreds of billions in annual revenue, the mechanics of airfare pricing remain remarkably opaque to travelers and analysts alike. Prices for geographically similar routes often diverge sharply, driven by a complex interplay of structural constraints and market pressures. This study elucidates the primary drivers of ticket pricing by analyzing high-frequency data from the Bureau of Transportation Statistics DB1B database.   Utilizing an Ordinary Least Squares framework, the research evaluates how route distance, carrier concentration, passenger throughput, and seasonal fluctuations collectively dictate average fares. By quantifying these relationships in Python, the analysis seeks to isolate …

What Drives Indonesian Muslims To Waqf? An Analysis Of Behavioral Intention Toward Cash Waqf Linked Deposit (Cwld), Abdullah Zaid Khoiri, Kenny Devita Indraswari, A. Azizon, Tika Arundina

International Journal of Islamic Economics and Business Sustainability

Purpose – The purpose of the paper is to find out the factors that affect the intention of Indonesian Muslims to participate in Cash Waqf Linked Deposit (CWLD), a new Islamic banking product that combines cash waqf and sharia time deposits, launched in Indonesia in late 2023 to help overcome the gap between the potential cash waqf in the country and its actual collection.

Design/methodology/approach – This study employed an Extended Theory of Planned Behaviour (TPB) model which included religiosity, knowledge, trust and perceived benefit in addition to attitude, subjective norm and perceived behavioural control. The primary data were …

The Effects Of Neighborhood And Interior Characteristics On Residential Sale Prices, Ella Sophie Hagman

Undergraduate Economics Working Paper Series

This study analyses to what extent certain neighborhood and interior characteristics affect residential sale prices, after accounting for standard property variables. This is important to examine in order to understand the function of the housing market, the sources of price differences, and whether residential values can be controlled by prioritizing specific desirable property features. The study is based on a dataset of approximately 330,000 observations from the Multiple Listing Service (MLS), as well as walkability data obtained from Walk Score. The data is analyzed in Stata, using three regression models with different combinations of explanatory variables. The results show that …