Research Question Urban renewal is happening in central city districts of major cities (Bohl, 2000; Burchell, et al, 2000). A renewed interest in inner city living often includes a focus on active and green lifestyles associated with parks, green spaces, and sustainably built homes. Previously undesirable, working class neighborhoods are now sought after and more expensive (Ding & Knapp, 2010). These shifts are partially attributable to a change in homebuyer preferences for proximity to green spaces. Real estate agents have taken notice and now prominently feature such descriptions in online real estate listings. These featured attributes act as advertising signals for consumption of homes in neighborhoods adjacent to economic development projects featuring active lifestyle green spaces. In some cases, the names of the projects act as brand names. This study uses the Atlanta, Georgia metropolitan area and the Beltline green space economic development project to investigate the impact, if any, of green space advertising signals on home prices. In doing so, we ask the following research questions: Do buyers and sellers place a positive value on green space advertising signals? Do buyers and sellers attribute a greater value to branded versus generic green space advertising signals? Method and Data - 200 words We use a content analysis of agent-generated content in 989 online real estate listings for evidence of green space advertising signals for the target neighborhoods within the Beltline region. These results are coded branded or generic and applied to a traditional hedonic pricing analysis to isolate the incremental value of the green space advertising signals in listing and sales prices of homes. A generic (park or green space) and branded (Beltline) signal are tested. Hedonic pricing models are the most common method used to evaluate the value of real estate. The underlying premise of this approach is that a home represents a bundle of desirable and undesirable characteristics to a consumer seeking to maximize their utility. Collectively, these characteristics contribute to the market value of a property which is revealed through a sales transaction (Cebula, 2009). The job of hedonic analysis in real estate is to investigate the relationship between the existence and amount of all characteristics and the price consumers are willing to pay (Coulson, 2008). Generally, hedonic price models take on the following form: Price = ƒ(Physical Characteristics, Other Factors). In this study, the hedonic price model is adapted as: lnPrice = ƒ(Physical Characteristics, Transaction Details, Green Space Signals). Summary of Findings Results suggest green space advertising signals have a statistically significant contribution to listing and sales prices. The branded signals are positively contributing to price, while generic signals have a negative contribution. Results from independent and combined effects of branded and generic signals support this finding. This implies the market places greater value on the brand name of the affiliated development project, Beltline, over general references to parks and green spaces. Results also suggest branded advertising signals are contributing to home price inflation. This may potentially displace existing neighborhood residents, often low-income or communities of color, for whom the underlying economic development project was intended to benefit (Rothstein, 2017). Many municipalities with economic development projects put rental or new construction policies in place to protect low income and/or workforce housing stock. There are rarely mechanisms to provide reserves or set asides for low income residents in the resale real estate market. This study definitively demonstrates price inflation in the resale real estate market associated with economic development projects. Such evidence may inform the creation of protective policies to serve the unmet needs of vulnerable residents in the resale real estate market in revitalizing central city districts. Statement of Key Contributions Research in green status consumption behavior finds consumers will pay a premium for such items in public consumption conditions (Griskevicius et al, 2010). This study applies an adapted framework to real estate prices in a major metropolitan neighborhood associated with green space development. Results suggest home price inflation may potentially displace existing residents, often low-income or communities of color, for whom the underlying economic development project was intended to benefit (Rothstein, 2017). Many municipalities with economic development projects put rental or new construction policies in place to protect low income and/or workforce housing stock. There are rarely mechanisms to provide consideration for low income residents in the resale real estate market. This study demonstrates price inflation in the resale real estate market associated with economic development projects. Such information may inform the creation of protective policies to serve the unmet needs of vulnerable residents in the resale real estate market in revitalizing central city districts. Affordable housing stakeholders would benefit from this manuscript. Collectively, these entities protect the interests of vulnerable residents in central city neighborhoods through policy-based initiatives. Findings may serve as a catalyst to spur investigation and policy development in other metropolitan areas experiencing similar phenomena. [ABSTRACT FROM AUTHOR]