master.bib

% Encoding: windows-1252


@Article{ajami_water_management_2008,
  Title                    = {Sustainable water resource management under hydrological uncertainty},
  Author                   = {Ajami, Newsha K. and Hornberger, George M. and Sunding, David L.},
  Journal                  = {Water Resour Res},
  Year                     = {2008},

  Month                    = nov,
  Number                   = {11},
  Volume                   = {44},

  Doi                      = {10.1029/2007WR006736},
  ISSN                     = {0043-1397},
  Url                      = {http://europa.agu.org/?uri=/journals/wr/wr0811/2007WR006736/2007WR006736.xml&view=article},
  Urldate                  = {2010-04-13}
}

@Article{brown_politics_2016,
  Title                    = {The Politics of Water Conservation: Identifying and Overcoming Political Barriers to Successful Policies},
  Author                   = {Brown, Kate Pride and Hess, David J.},
  Journal                  = {Water Policy},
  Year                     = {in press}
}

@Article{stan_2016,
  Title                    = {Stan: A Probabilistic Programming Language},
  Author                   = {Carpenter, Bob and Gelman, Andrew and Hoffman, Matt and Lee, Daniel and Goodrich, Ben and Betancourt, Michael and Brubaker, Michael A. and Guo, Jiquiang and Li, Peter and Riddell, Allen},
  Journal                  = {J Stat Softw},
  Year                     = {in press, 2016},
  Note                     = {Available at \url{http://www.stat.columbia.edu/~gelman/research/published/stan-paper-revision-feb2015.pdf}},

  Url                      = {http://www.stat.columbia.edu/~gelman/research/published/stan-paper-revision-feb2015.pdf}
}

@Article{dunlap_nep_worldwide_2008,
  Title                    = {The {N}ew {E}nvironmental {P}aradigm Scale: From Marginality to Worldwide Use},
  Author                   = {Dunlap, Riley E.},
  Journal                  = {The Journal of Environmental Education},
  Year                     = {2008},

  Month                    = sep,
  Number                   = {1},
  Pages                    = {3--18},
  Volume                   = {40},
  Abstract                 = {The New Environmental Paradigm (NEP) Scale, published in The Journal of Environmental Education by R. E. Dunlap and K. D. Van Liere (1978), has become the most widely used measure of environmental concern in the world and been employed in hundreds of studies in dozens of nations. This article tells the story of the NEP Scale, beginning with how the author developed the notion of an environmental paradigm and then decided to measure it. The author describes the original NEP Scale and its 3 revisions, 1 of which is rapidly replacing the 1978 version in most studies. The author then reviews current uses of the various NEP Scales and examines major criticisms of them. Last, the author discusses the failure of an ecological worldview to become institutionalized in the United States, stemming from intense opposition to it since the 1990s, and the need to understand the sources of this opposition and monitor the situation.},
  Doi                      = {10.3200/JOEE.40.1.3-18},
  ISSN                     = {0095-8964},
  Keywords                 = {ecological worldview, New Ecological Paradigm, New Environmental Paradigm, New Environmental Paradigm Scale},
  Owner                    = {gilligjm},
  Shorttitle               = {The {New} {Environmental} {Paradigm} {Scale}},
  Timestamp                = {2016.10.07},
  Url                      = {http://dx.doi.org/10.3200/JOEE.40.1.3-18},
  Urldate                  = {2016-10-07}
}

@Article{dunlap_nep_1978,
  Title                    = {The ``{N}ew {E}nvironmental {P}aradigm''},
  Author                   = {Dunlap, Riley E. and Liere, Kent D. Van},
  Journal                  = {The Journal of Environmental Education},
  Year                     = {1978},

  Month                    = jul,
  Number                   = {4},
  Pages                    = {10--19},
  Volume                   = {9},
  Doi                      = {10.1080/00958964.1978.10801875},
  ISSN                     = {0095-8964},
  Owner                    = {gilligjm},
  Timestamp                = {2016.10.07},
  Url                      = {http://dx.doi.org/10.1080/00958964.1978.10801875},
  Urldate                  = {2016-10-07}
}

@Article{dunlap_nep_2008,
  Title                    = {The ``{N}ew {E}nvironmental {P}aradigm''},
  Author                   = {Dunlap, Riley E. and Van Liere, Kent D.},
  Journal                  = {Journal of Environmental Education},
  Year                     = {2008},
  Number                   = {1},
  Pages                    = {19--28},
  Volume                   = {40},
  Abstract                 = {A study examined the extent to which the public accepts the content of the New Environmental Paradigm (NEP). Findings revealed a remarkable degree of acceptance for the NEP among environmentalists and the general public, but environmentalists endorse NEP much more strongly than the general public. An instrument designed to measure the NEP is outlined.},
  Doi                      = {10.3200/JOEE.40.1.19-28},
  ISSN                     = {00958964},
  Keywords                 = {Environmental protection, Examinations -- Design \& construction, Political Participation, Scaling (Social sciences)},
  Owner                    = {gilligjm},
  Timestamp                = {2016.10.07},
  Url                      = {http://proxy.library.vanderbilt.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=eft&AN=508007572&site=ehost-live},
  Urldate                  = {2016-10-07}
}

@Article{dunlap_attitudes_2000,
  Title                    = {New Trends in Measuring Environmental Attitudes: Measuring Endorsement of the {N}ew {E}cological {P}aradigm: A Revised {NEP} Scale},
  Author                   = {Dunlap, Riley E. and Van Liere, Kent D. and Mertig, Angela G. and Jones, Robert Emmet},
  Journal                  = {Journal of Social Issues},
  Year                     = {2000},

  Month                    = jan,
  Number                   = {3},
  Pages                    = {425--442},
  Volume                   = {56},
  Abstract                 = {Dunlap and Van Liere's New Environmental Paradigm (NEP) Scale, published in 1978, has become a widely used measure of proenvironmental orientation. This article develops a revised NEP Scale designed to improve upon the original one in several respects: (1) It taps a wider range of facets of an ecological worldview, (2) It offers a balanced set of pro- and anti-NEP items, and (3) It avoids outmoded terminology. The new scale, termed the New Ecological Paradigm Scale, consists of 15 items. Results of a 1990 Washington State survey suggest that the items can be treated as an internally consistent summated ratingscale and also indicate a modest growth in pro-NEP responses among Washington residents over the 14 years since the original study.},
  Doi                      = {10.1111/0022-4537.00176},
  ISSN                     = {1540-4560},
  Language                 = {en},
  Owner                    = {gilligjm},
  Shorttitle               = {New {Trends} in {Measuring} {Environmental} {Attitudes}},
  Timestamp                = {2016.10.07},
  Url                      = {http://onlinelibrary.wiley.com/doi/10.1111/0022-4537.00176/abstract},
  Urldate                  = {2016-10-07}
}

@Book{fleck_fighting_2016,
  title     = {Water is for Fighting Over and Other Myths about Water in the West},
  publisher = {Island Press},
  year      = {2016},
  author    = {Fleck, John},
}

@Book{gelman_bda_2014,
  title     = {{B}ayesian Data Analysis},
  publisher = {CRC Press},
  year      = {2014},
  author    = {Gelman, Andrew and Carlin, John B. and Stern, Hal S. and Dunson, David B. and Vehtari, Aki and Rubin, Donald B.},
  edition   = {3rd},
}

@Book{gelman_arm_2007,
  Title                    = {Data Analysis using Regression and Multilevel/Hierarchical Models},
  Author                   = {Gelman, Andrew and Hill, Jennifer},
  Publisher                = {Cambridge Univ. Press},
  Year                     = {2007}
}

@Article{gelman_information_criteria_2014,
  Title                    = {Understanding predictive information criteria for {B}ayesian models},
  Author                   = {Gelman, Andrew and Hwang, Jessica and Vehtari, Aki},
  Journal                  = {Stat Comput},
  Year                     = {2014},
  Pages                    = {997--1016},
  Volume                   = {24}
}

@Article{gelman_prior_2008,
  Title                    = {A weakly informative default prior distribution for logistic and other regression models},
  Author                   = {Gelman, Andrew and Jakulin, Aleks and Pittau, Maria Grazia and Su, Yu-Sung},
  Journal                  = {Ann Appl Stat},
  Year                     = {2008},
  Pages                    = {1360--1383},
  Volume                   = {2},

  Url                      = {http://projecteuclid.org.proxy.library.vanderbilt.edu/euclid.aoas/1231424214}
}

@Article{gleick_soft_water_paths_2002,
  Title                    = {Water management: {S}oft water paths},
  Author                   = {Gleick, Peter H.},
  Journal                  = {Nature},
  Year                     = {2002},
  Pages                    = {373--373},
  Volume                   = {418},

  Doi                      = {10.1038/418373a},
  Url                      = {http://www.nature.com.proxy.library.vanderbilt.edu/nature/journal/v418/n6896/full/418373a.html}
}

@Article{hess_drought_2016,
  Title                    = {Drought, Risk, and Institutional Politics in the {A}merican {S}outhwest},
  Author                   = {Hess, David J and Wold, Christopher A. and Hunter, Elise and Nay, John J. and Worland, Scott and Gilligan, Jonathan and Hornberger, George M.},
  Journal                  = {Sociol Forum},
  Year                     = {2016},
  Pages                    = {807--827},
  Volume                   = {31},

  Doi                      = {DOI: 10.1111/socf.12274},
  Url                      = {http://onlinelibrary.wiley.com/doi/10.1111/socf.12274/abstract}
}

@Article{hess_vwci_2016,
  Title                    = {Measuring Urban Water Conservation Policies},
  Author                   = {Hess, David J. and Wold, Christopher A. and Worland, Scott. C. and Hornberger, George M.},
  Journal                  = {J Am Water Resour Assoc},
  Year                     = {in press, 2016}
}

@Article{hornberger_water_conservation_2015,
  Title                    = {Water conservation and hydrological transitions in cities in the {U}nited {S}tates},
  Author                   = {Hornberger, George M. and Hess, David J. and Gilligan, Jonathan},
  Journal                  = {Water Resour Res},
  Year                     = {2015},

  Month                    = jun,
  Number                   = {6},
  Pages                    = {4635--4649},
  Volume                   = {51},

  Abstract                 = {Cities across the world have had to diversify and expand their water supply systems in response to demand growth, groundwater depletion and pollution, and instability and inadequacy of regional surface freshwater sources. In the U.S., these problems plague not only the arid Western cities but increasingly also cities in the Eastern portions of the country. Although cities continue to seek out new sources of water via Promethean projects of long-distance supply systems, desalinization plants, and the recharge of aquifers with surface water, they also pursue water conservation because of its low cost and other benefits. We examine water conservation as a complex sociotechnical system comprising interactions of political, sociodemographic, economic, and hydroclimatological factors. We provide quantitative data on the factors that affect more and less advanced transitions in water conservation regimes, and we show that water stress and other hydrological data can only partially predict the transition. We also provide qualitative case studies to identify institutional and political barriers to more advanced water conservation regimes. This interdisciplinary, mixed methods approach typifies the need for knowledge that informs hydrologists about how their research may or may not be adopted by decision-makers.},
  Doi                      = {10.1002/2015WR016943},
  ISSN                     = {1944-7973},
  Keywords                 = {1834 Human impacts, 1880 Water management, 1884 Water supply, water conservation},
  Language                 = {en},
  Url                      = {http://onlinelibrary.wiley.com/doi/10.1002/2015WR016943/abstract},
  Urldate                  = {2016-02-12}
}

@Article{jacobi_tool_2013,
  Title                    = {A tool for calculating the {P}almer drought indices},
  Author                   = {Jacobi, John and Perrone, Debra and Duncan, Leslie Lyons and Hornberger, George},
  Journal                  = {Water Resour Res},
  Year                     = {2013},

  Month                    = sep,
  Note                     = {00000},
  Number                   = {9},
  Pages                    = {6086--6089},
  Volume                   = {49},

  Abstract                 = {This paper presents a tool for calculating the Palmer Drought Severity Index (PDSI) and associated drought indices. The PDSI is a widely used drought index, yet the complexity and lack of transparency associated with the calculation of the PDSI makes it difficult for a researcher to independently calculate the index. Researchers are often forced to use PDSI values supplied by the National Climatic Data Center (NCDC) of the National Oceanic and Atmospheric Administration (NOAA) or some other third party. The MATLAB tool presented here is easy to use, thoroughly documented, and transparent. The tool was developed by checking an independently developed code against NCDC's FORTRAN code. Discrepancies between the MATLAB tool and the NCDC code are documented. Researchers using the tool will be able to easily calculate the Palmer drought indices for data inputs of any length and at any spatial scale.},
  Doi                      = {10.1002/wrcr.20342},
  ISSN                     = {1944-7973},
  Keywords                 = {1812 Drought, 1833 Hydroclimatology, 1895 Instruments and techniques: monitoring, drought, drought monitoring, MATLAB, palmer, PDSI, Tool},
  Language                 = {en},
  Url                      = {http://onlinelibrary.wiley.com/doi/10.1002/wrcr.20342/abstract},
  Urldate                  = {2016-02-12}
}

@TechReport{kotchen_instrument_choice_2011,
  Title                    = {Policy-Instrument Choice and Benefit Estimates for Climate-Change Policy in the {U}nited {S}tates},
  Author                   = {Kotchen, Matthew J. and Boyle, Kevin J. and Leiserowitz, Anthony A.},
  Institution              = {National Bureau of Economic Research},
  Year                     = {2011},
  Month                    = oct,
  Number                   = {17539},
  Type                     = {Working {Paper}},
  Abstract                 = {This paper provides the first willingness-to-pay (WTP) estimates in support of a national climate-change policy that are comparable with the costs of actual legislative efforts in the U.S. Congress. Based on a survey of 2,034 American adults, we find that households are, on average, willing to pay between \$79 and \$89 per year in support of reducing domestic greenhouse-gas (GHG) emissions 17 percent by 2020. Even very conservative estimates yield an average WTP at or above \$60 per year. Taking advantage of randomized treatments within the survey valuation question, we find that mean WTP does not vary substantially among the policy instruments of a cap-and-trade program, a carbon tax, or a GHG regulation. But there are differences in the sociodemographic characteristics of those willing to pay across policy instruments. Greater education always increases WTP. Older individuals have a lower WTP for a carbon tax and a GHG regulation, while greater household income increases WTP for these same two policy instruments. Republicans, along with those indicating no political party affiliation, have a significantly lower WTP regardless of the policy instrument. But many of these differences are no longer evident after controlling for respondent opinions about whether global warming is actually happening.},
  Owner                    = {gilligjm},
  Timestamp                = {2016.10.07},
  Url                      = {http://www.nber.org/papers/w17539},
  Urldate                  = {2016-10-07}
}

@TechReport{leiserowitz_american_mind_2015,
  Title                    = {Climate Change in the American Mind: October 2015},
  Author                   = {Leiserowitz, Anthony A. and Maibach, Edward W. and Roser-Renouf, Connie and Feinberg, Geoffrey D. and Rosenthal, Seth},
  Institution              = {Yale Project on Climate Change Communications},
  Year                     = {2015},

  Address                  = {New Haven},
}

@Article{maggioni_conservation_2014,
  Title                    = {Water demand management in time of drought: {W}hat matters for water conservation},
  Author                   = {Maggioni, Elena},
  Journal                  = {Water Resour Res},
  Year                     = {2014},
  Pages                    = {215--139},
  Volume                   = {51},

  Owner                    = {gilligjm},
  Timestamp                = {2016.09.28}
}

@Manual{matsuura_gridded_precip_2015,
  Title                    = {Terrestrial Precipitation: 1900--2014 Gridded Monthly Time Series (Version 4.01)},
  Author                   = {Matsuura, Kenji and Willmott, Cort J.},
  Note                     = {Available at \url{http://climate.geog.udel.edu/~climate/html_pages/Global2014/README.GlobalTsP2014.html}},
  Organization             = {Dept. Geography, U. Delaware},
  Year                     = {2015},

  Url                      = {http://climate.geog.udel.edu/~climate/html_pages/Global2014/README.GlobalTsP2014.html}
}

@Manual{matsuura_gridded_temp_2015,
  Title                    = {Terrestrial Air Temperature: 1900--2014 Gridded Monthly Time Series (Version 4.01)},
  Author                   = {Matsuura, Kenji and Willmott, Cort J.},
  Note                     = {Available at \url{http://climate.geog.udel.edu/~climate/html_pages/Global2014/README.GlobalTsT2014.html}},
  Organization             = {Dept. Geography, U. Delaware},
  Year                     = {2015},

  Url                      = {http://climate.geog.udel.edu/~climate/html_pages/Global2014/README.GlobalTsT2014.html}
}

@TechReport{maupin_water_use_2014,
  Title                    = {Estimated Use of Water in the {U}nited {S}tates in 2010},
  Author                   = {Maupin, Molly and Kenny, Joan and Hutson, Susan and Lovelace, John and Barber, Nancy and Linsey, Kristin},
  Institution              = {U.S. Geological Survey},
  Year                     = {2014},
  Note                     = {Available at \url{http://pubs.usgs.gov/circ/1405/}},
  Number                   = {1405},
  Type                     = {Circular},

  Url                      = {http://pubs.usgs.gov/circ/1405/}
}

@Article{perrone_food_energy_water_2014,
  Title                    = {Water, food, and energy security: scrambling for resources or solutions?},
  Author                   = {Perrone, Debra and Hornberger, George M.},
  Journal                  = {WIRES: Water},
  Year                     = {2014},

  Month                    = jan,
  Note                     = {00000},
  Number                   = {1},
  Pages                    = {49--68},
  Volume                   = {1},

  Abstract                 = {Anthropogenic-induced climate changes and population growth projected by 2050, combined with global economic growth driven by emerging markets, suggest that greater stress will be placed on water, food, and energy resources in the future. These resources are interdependent and are linked in a complex global network of trade. As pressures on the three resources grow, three-way interactions arise so that a solution to address scarcity in one cannot be achieved without impact on the others. The water security, food security, and energy security trilemma creates a multidimensional web that is a structurally complex network with dynamic links among resources that vary in both weight and direction. Because structure affects function, characterizing the network anatomy that links the resources in three-way interactions is helpful when setting goals to meet resource security. We argue that water plays a central role in shaping interactions and that the main scarcity issues occur with trade-offs between thermoelectric power generation and agriculture, between hydroelectric power generation and agriculture, and between biofuel production and food production. Three illustrations—the Apalachicola–Chattahoochee–Flint River Basin in the southeastern United States, the island nation of Sri Lanka, and Brazil—capture the main three-way interactions that we have identified. Although the problems that strew the path to global sustainability are massive, we suggest alternatives along both technological and nontechnological paths to meet future needs. WIREs Water 2014, 1:49–68. doi: 10.1002/wat2.1004 Conflict of interest: The authors have declared no conflicts of interest for this article. For further resources related to this article, please visit the WIREs website.},
  Doi                      = {10.1002/wat2.1004},
  ISSN                     = {2049-1948},
  Language                 = {en},
  Shorttitle               = {Water, food, and energy security},
  Url                      = {http://onlinelibrary.wiley.com.proxy.library.vanderbilt.edu/doi/10.1002/wat2.1004/abstract},
  Urldate                  = {2016-03-01}
}

@Article{perrone_water_energy_nexus_2011,
  Title                    = {Gaining Perspective on the Water−Energy Nexus at the Community Scale},
  Author                   = {Perrone, Debra and Murphy, Jennifer and Hornberger, George M.},
  Journal                  = {Environ. Sci. \& Tech.},
  Year                     = {2011},

  Month                    = may,
  Note                     = {00032},
  Number                   = {10},
  Pages                    = {4228--4234},
  Volume                   = {45},

  Abstract                 = {Water and energy resources are interrelated but their influence on each other is rarely considered. To quantify the water and energy portfolios associated with a community?s water?energy nexus (WEN) and the influence of geographic location on resources, we present the WEN tool. The WEN tool quantifies a community?s transport (consumed for or lost before delivery) and nexus (energy for water and water for energy) resources so communities can assess their resource flows. In addition, to provide insight into the full range of impacts of water and energy resource acquisition and to frame the influence of geography on resources, we coin the term ?urban resource islands?. The concept of urban resource islands provides a framework for considering the implication of geography on a community?s water and energy resource acquisition and use. The WEN tool and the concept of resource islands can promote communities to think about their hidden resources and integrate such concepts into their sustainability trade-off analyses and policy decisions. In this paper, we use Tucson, Arizona, United States as a case study.},
  Doi                      = {10.1021/es103230n},
  ISSN                     = {0013-936X},
  Url                      = {http://dx.doi.org/10.1021/es103230n},
  Urldate                  = {2016-03-01}
}

@Article{quan_aridity_2013,
  Title                    = {Validation of temperature–precipitation based aridity index: Paleoclimatic implications},
  Author                   = {Quan, Chen and Shuang, Han and Torsten, Utescher and Chunhua, Zhang and Liu, Yu-Sheng},
  Journal                  = {Palaeogeogr Palaeoclimatol Palaeoecol},
  Year                     = {2013},
  Pages                    = {86-95},
  Volume                   = {386},

  Doi                      = {10.1016/j.palaeo.2013.05.008}
}

@Manual{r_manual_2016,
  Title                    = {R: A Language and Environment for Statistical Computing},

  Address                  = {Vienna},
  Author                   = {{R Core Team}},
  Organization             = {R Foundation for Statistical Computing},
  Year                     = {2016},

  Url                      = {https://www.R-project.org/}
}

@Article{satija_san_antonio_2014,
  Title                    = {{S}an {A}ntonio Approves Historic Water Project},
  Author                   = {Satija, Nina},
  Journal                  = {Texas Tribune},
  Year                     = {2014},
  Note                     = {Oct.~30}
}

@Article{sauri_conservation_2013,
  Title                    = {Water Conservation: {T}heory and Evidence in Urban Areas of the Developed World},
  Author                   = {Saur\'i, David},
  Journal                  = {Annu Rev Environ Resour},
  Year                     = {2013},
  Pages                    = {227--248},
  Volume                   = {38}
}

@Manual{stan_manual_2015,
  Title                    = {{S}tan Modeling Language: User's Guide and Reference Manual},
  Author                   = {{Stan Development Team}},
  Edition                  = {Version 2.11.0},
  Note                     = {Available at \url{http://mc-stan.org/documentation/}},
  Year                     = {2016}
}

@Article{stern_nep_context_1995,
  Title                    = {The {N}ew {E}cological {P}aradigm in Social-Psychological Context},
  Author                   = {Stern, Paul C. and Dietz, Thomas and Guagnano, Gregory A.},
  Journal                  = {Environ Behav},
  Year                     = {1995},

  Month                    = nov,
  Number                   = {6},
  Pages                    = {723--743},
  Volume                   = {27},
  Abstract                 = {The New Ecological Paradigm (NEP) scale is the most frequently used measure of environmental concern, but it has not been placed in the context of a social-psychological theory of attitude formation or attitude-behavior relationships. Using data from a northern Virginia sample, this study examines NEP in relation to the variables in a theoretical model of environmental concern. We found that the NEP is indistinguishable from a scale of awareness of consequences (AC) of general environmental conditions, both psychometrically and in terms of its relations to behavioral intentions, but somewhat different in its relations to basic value orientations and sociodemographic variables. We conclude that both NEP and AC measure generalized beliefs about the nature of human-environment interactions-or "folk ecology"—a set of beliefs that may be influenced by social structure and values and that influence attitudes, beliefs, and behavioral intentions regarding specific environmental conditions.},
  Doi                      = {10.1177/0013916595276001},
  ISSN                     = {0013-9165, 1552-390X},
  Language                 = {en},
  Owner                    = {gilligjm},
  Timestamp                = {2016.10.07},
  Url                      = {http://eab.sagepub.com/content/27/6/723},
  Urldate                  = {2016-10-07}
}

@Article{switzer_green_lenses_2016,
  Title                    = {Green Colored Lenses: Worldviews and Motivated Reasoning in the Case of Local Water Scarcity},
  Author                   = {Switzer, David and Vedlitz, Arnold},
  Journal                  = {Environ Behav},
  Volume                   = {advance online publication},
  Year                     = {2016},

  Doi                      = {10.1177/0013916516669391}
}

@Misc{bea_rpp_2016,
  Title                    = {{RPP1} Regional Price Parities},

  Author                   = {{U.S. Bureau Econ. Analysis}},
  Note                     = {Available at \url{http://www.bea.gov/iTable/index.cfm}},
  Year                     = {2016},

  Url                      = {http://www.bea.gov/iTable/iTableHtml.cfm?reqid=70&step=30&isuri=1&7022=101&7023=8&7033=-1&7024=non-industry&7025=5&7026=xx&7027=2013&7001=8101&7028=1&7031=5&7040=-1&7083=levels&7137040=-1&7029=101&7090=70}
}

@Misc{bea_rpi_2016,
  Title                    = {{RPI1} Real Per-Capita Personal Income},

  Author                   = {{U.S. Bureau Econ. Analysis}},
  Note                     = {Available at \url{http://www.bea.gov/iTable/index.cfm}},
  Year                     = {2016},
}


@TechReport{bea_rpp_methodology_2016,
  Title                    = {Real Personal Income and Regional Price Parities},
  Author                   = {{U.S. Bureau Econ. Analysis}},
  Type                     = {Regional Economic Accounts Methodology Report},
  Number                   = {RPP2016},
  Year                     = {2016},
  Note                     = {Available at \url{http://www.bea.gov/regional/pdf/RPP2016_methodology.pdf}},
}


@Misc{census_population_2015,
  Title                    = {Metropolitan and Micropolitan Statistical Areas},

  Author                   = {{U.S. Census Bureau, Population Div.}},
  Note                     = {Available at \url{http://www.census.gov/popest/data/metro/totals/2014/}},
  Year                     = {2015},

  Url                      = {http://www.census.gov/popest/data/metro/totals/2014/}
}

@TechReport{omb_msa_list_2015,
  Title                    = {Revised Delineations of Metropolitan Statistical Areas},
  Author                   = {{U.S. Office of Management \& Budget}},
  Year                     = {2015},
  Number                   = {15-01},
  Type                     = {Bulletin}
}

@Article{vose_nclimdiv_2014,
  Title                    = {Improved Historical Temperature and Precipitation Time Series for {U}.{S}. Climate Divisions},
  Author                   = {Vose, Russell S. and Applequist, Scott and Squires, Mike and Durre, Imke and Menne, Matthew J. and Williams, Claude N. and Fenimore, Chris and Gleason, Karin and Arndt, Derek},
  Journal                  = {Journal of  Applied Meteorology and Climatology},
  Year                     = {2014},
  Pages                    = {1232--1251},
  Volume                   = {53},
  Abstract                 = {This paper describes an improved edition of the climate division dataset for the conterminous United States (i.e., version 2). The first improvement is to the input data, which now include additional station networks, quality assurance reviews, and temperature bias adjustments. The second improvement is to the suite of climatic elements, which now includes both maximum and minimum temperatures. The third improvement is to the computational approach, which now employs climatologically aided interpolation to address topographic and network variability. Version 2 exhibits substantial differences from version 1 over the period 1895–2012. For example, divisional averages in version 2 tend to be cooler and wetter, particularly in mountainous areas of the western United States. Division-level trends in temperature and precipitation display greater spatial consistency in version 2. National-scale temperature trends in version 2 are comparable to those in the U.S. Historical Climatology Network whereas version 1 exhibits less warming as a result of historical changes in observing practices. Divisional errors in version 2 are likely less than 0.5°C for temperature and 20 mm for precipitation at the start of the record, falling rapidly thereafter. Overall, these results indicate that version 2 can supersede version 1 in both operational climate monitoring and applied climatic research.},
  Doi                      = {10.1175/JAMC-D-13-0248.1},
  ISSN                     = {1558-8424},
  Owner                    = {gilligjm},
  Timestamp                = {2016.09.28},
  Url                      = {http://journals.ametsoc.org/doi/abs/10.1175/JAMC-D-13-0248.1},
  Urldate                  = {2016-09-28}
}

@Book{cook_pvi_2013,
  Title                    = {Introducing the 2014 {C}ook {P}olitical {R}eport {P}artisan {V}oter {I}ndex},
  Author                   = {Wasserman, David},
  Publisher                = {Cook Political Report},
  Year                     = {2013},
  Note                     = {Available at \url{http://cookpolitical.com/story/5604}},

  Url                      = {http://cookpolitical.com/story/5604}
}

@Article{wilmott_moisture_index_1992,
  Title                    = {A More Rational Climatic Moisture Index},
  Author                   = {Willmott, Cort J. and Feddema, Johannes J.},
  Journal                  = {The Professional Geographer},
  Year                     = {1992},

  Month                    = feb,
  Number                   = {1},
  Pages                    = {84--88},
  Volume                   = {44},
  Abstract                 = {A climatic moisture index (Im) used extensively by C. W. Thornthwaite and others is examined, and a modified version of the index is proposed. Arbitrary limits ($-100 \le I_m \le 100$ $(\infty--1)$), combined with its dimensionless property, make the original index difficult to interpret. Our refined version also is dimensionless, but the limits have been recast so that $-1 \le I_m \le 1$. Wet climates have positive values of Im while dry climates are negative, and the index is symmetric about zero. The spatial distribution of our modified annual-average moisture index over the world's continents is mapped and described.},
  Doi                      = {10.1111/j.0033-0124.1992.00084.x},
  ISSN                     = {0033-0124},
  Owner                    = {gilligjm},
  Timestamp                = {2016.10.07},
  Url                      = {http://www-tandfonline-com.proxy.library.vanderbilt.edu/doi/abs/10.1111/j.0033-0124.1992.00084.x},
  Urldate                  = {2016-10-06}
}

@Book{gcrp_natl_assessment_3_2014,
  Title                    = {Climate Change Impacts in the {U}nited {S}tates: {T}he Third National Climate Assessment},
  Editor                   = {Melillo, Jerry M. and Richmond, Terese C. and Yohe, Gary W.},
  Publisher                = {U.S. Global Change Research Program},
  Year                     = {2014},

  Doi                      = {10.7930/J0Z31WJ2}
}

@Misc{cq_elections_2016,
  Author = {{CQ Press}},
  Title = {Voting and Elections Collection},
  Year = {2016},
  Note = {Available at \url{http://library.cqpress.com/elections/}}
}

@book{schattschneider_semisovereign_1975,
	title = {The Semisovereign People},
	publisher = {Dryden Press},
	author = {Schattschneider, Elmer Eric},
	year = {1975},
}

@Comment{jabref-meta: databaseType:bibtex;}