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In this paper I seek to understand how consumers value music today by investigating what consumers are willing to pay for digitally downloaded songs (such as the ones available on the iTunes or Amazon music stores) and the variety of factors that influence their willingness to pay. I conducted a

In this paper I seek to understand how consumers value music today by investigating what consumers are willing to pay for digitally downloaded songs (such as the ones available on the iTunes or Amazon music stores) and the variety of factors that influence their willingness to pay. I conducted a survey and received over 500 responses regarding willingness to pay for single-song downloads, consumer sentiment on whether music should be free, streaming service use, and other information pertaining to music consumption behavior. Through this research I found that paid-streamers are willing to pay more for songs than those who do not pay to stream, all else being equal. Further, Free-streamers are not willing to pay significantly more or less than non-streamers. This finding is additional information to other research that suggests streaming acts as a substitute for sales. I also found that most consumers are in the middle when it comes to the debate for whether music should always be free or always be purchased. Where someone aligns on the spectrum is a statistically significant contributing factor to what that person is willing to pay for a song. My findings also suggest that consumer preferences distinguish between benefit derived from music ownership and benefit derived from the ability to listen to music. This information sheds more light on the reason behind the declining digital download market.
ContributorsRodriguez, Stefan Daniel (Author) / Mandel, Naomi (Thesis director) / Veramendi, Gregory (Committee member) / Department of Economics (Contributor) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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Description
Individual’s outcomes are significantly affected by occupation share changes. This is supported by regression analysis of the Displace Workers Survey a supplement to the Current Population Survey – a nationally representative panel data set. Regression analysis is used to demonstrate that individuals in occupations that are increasing as a share

Individual’s outcomes are significantly affected by occupation share changes. This is supported by regression analysis of the Displace Workers Survey a supplement to the Current Population Survey – a nationally representative panel data set. Regression analysis is used to demonstrate that individuals in occupations that are increasing as a share of the total number of workers are better off across the gamut of outcomes than their counterparts in occupations that are decreasing as a share of the total number of workers. Workers in occupations with increasing shares are more likely to find jobs quickly, less likely to experience significant wage losses, less likely to change occupation, and less likely to go on to welfare.
ContributorsGaughan, Patrick Michael (Author) / Veramendi, Gregory (Thesis director) / Foster, William (Committee member) / Department of Finance (Contributor) / Department of Information Systems (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05