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- Creators: School of Mathematical and Statistical Sciences
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
- Resource Type: Text
The outlying cities of Phoenix's West Metropolitan experienced rapid growth in the past ten years. This trend is only going to continue with an average expected growth of 449-891% between 2000 and 2035 (ADOT, 2012). Phoenix is not new to growth and has consistently seen swaths of people added to its population. This raises the question of what happened to the people who lived in Phoenix's West Valley during this period of rapid change and growth in their communities? What are their stories and what do their stories reveal about the broader public history of change in Phoenix's West Valley? In consideration of these questions, the community oral histories of eight residents from the West Valley were collected to add historical nuance to the limited archival records available in the area. From this collection, the previous notion of "post-war boomtowns” describing Phoenix’s West Valley was revealed to be highly inaccurate and dismissive of the residents' experiences who lived and formed their lives there.
Water markets are a promising method for adapting to water scarcity in the western United States, and the Colorado-Big Thompson Project (CBT) market is often held up as a prime example of their potential. While much has been written about the CBT market, the current academic literature tends to eschew structural modeling of supply and demand in favor of fitting hedonic price equations, which ignore many of the market’s unique characteristics. This paper proposes a model of supply and demand for CBT water which accounts for these unique features, including transaction supply, municipality stockpiling, and differences in behavior across different types of water users. The estimation of this model is made possible by novel administrative records data on both transfers and ownership of CBT water, the processing and features of which are described in detail. While the voluminous and messy nature of the data has prevented complete estimation of the model at this point, some preliminary results are presented along with a plan for future work.