Home » JEL Codes » M (Page 2)

Category Archives: M

Geo-Spatial Modeling of Online Ad Distributions

By Mitchel Drake Gorecki The purpose of this document is to demonstrate how spatial models can be integrated into purchasing decisions for real-time bidding on advertising exchanges to improve ad selection and performance. Historical data makes it very apparent that some neighborhoods are much more interested in some ads than others. Similarly, some neighborhoods are […]

Continue Reading →

The Effects of Digital Media on Advertising Markets

By Bradford Lightcap and William Anthony Peek This paper examines the viability of sustained advertising spending in an increasingly digital age. Beginning with print media and through the advent of television, the ad market has seen vast evolution in information consumption. The result has been a creative adaptability by advertisers to keep pace with said […]

Continue Reading →

The Influence Effect of Critics’ Reviews on Foreign and Domestic Movies

By Jayoung Jeon and Luxuan Jiao Critics and their reviews provide crucial information for consumers in many “experience goods” markets, and the movie market is one such market. Through their impact on the consumer’s film selection, critics’ reviews influence the first weekend box office performance (the influence effect). We hypothesize that the influence effect of […]

Continue Reading →

The Comprehensive Optimal Business Location Model

By Mitchel Gorecki In order to ensure long run viability, a firm must understand the idea of optimal business location. In the designing of a strategy, it is important to not only evaluate the present market environment but to also account for possible future change. This paper will demonstrate the core ideas behind a comprehensive […]

Continue Reading →

Measuring the Likelihood of Small Business Loan Default: Community Development Financial Institutions (CDFIs) and the use of Credit-Scoring to Minimize Default Risk1

By Andrea Coravos Community development financial institutions (CDFIs) provide financial services to underserved markets and populations. Using small business loan portfolio data from a national CDFI, this paper identifies the specific borrower, lender, and loan characteristics and changes in economic conditions that increase the likelihood of default. These results lay the foundation for an in-house […]

Continue Reading →

Questions?

Undergraduate Program Assistant
Matthew Eggleston
dus_asst@econ.duke.edu

Director of the Honors Program
Michelle P. Connolly
michelle.connolly@duke.edu