TV commercials are generally considered nuisances at best, yet there are many people who tune in to the Super Bowl every year not for the sport, but for the ads. As a result, the demand for advertisement space during the Super Bowl is enormous, driving the price of airtime up sharply. Companies often use this opportunity to reach a large portion of the U.S. population to unveil a new product or ad campaign during their 15 or 30 seconds. Most of the time, however, commercials are run only during TV shows with similar target audiences to the company buying airtime. Ads are targeted at middle aged men on daytime ESPN, and at DIYers on HGTV. This research will attempt to quantify the increase in variety when the price of ad space increases.
With the technological advancement of our world, it is critical to understand the scope and future of the video game industry, as it is one of the fastest growing markets in the world. There are innovations in technology and hardware with different devices, advances in graphics that can essentially transform games into art, opportunities for individual profiting off of content creation and sharing, and even professional “E-sports” leagues based around popular games that draw larger global audiences than most telecast events.
I have completed my Freshman Monroe research project in Economics. Throughout the process, I gained a deeper understanding of data, statistics, the software Stata, and I learned a lot about the research process in general. As I discovered that I needed to adapt my initial plans to fit the data available, my focused area of study shifted significantly from the plans I discussed in my abstract blog post. The new variables I chose for study piqued my interest in an evolved set of questions, which led me, through use of statistical and graphical techniques, towards a meaningful set of findings.
In the last two weeks, I’ve made progress with my project. I have created a data set of historical federal census data and have worked to interpret, investigate, and analyze it in Stata, a statistical analysis software program. After I generated a data set in IPUMS (an online database of census microdata used by social and economic researchers) using the variables and samples I had selected, I downloaded this data and tried to import it into Stata, at which point I encountered a minor obstacle: the file was much larger than I had originally expected. I discovered that I needed to increase the maximum memory capacity in Stata from its default setting before I could import the data and begin the real work.