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This book provides a comprehensive and detailed investigation of a major U.S. city, examining topics that include the economy, demographics, transportation, housing, and race. The book examines the changes that have occurred over the past three decades, exploring the factors associated with those changes and discussing future prospects

Contents -- Contributors -- Chapter 1. The Atlanta Paradox: Introduction - David L. Sjoquist -- Chapter 2. Growth and Change in Metropolitan Atlanta - Truman A. Hartshorn and Keith R. Ihlanfeldt -- Chapter 3. Atlanta: The Historical Paradox - Ronald H. Bayor -- Chapter 4. Racial Attitudes and Perceptions in Atlanta - Obie Clayton Jr., Christopher R. Geller, Sahadeo Patram, Travis Patton, and David L. Sjoquist -- Chapter 5. Black-White Residential Segregation in Atlanta - Mark A. Thompson -- Chapter 6. The Geographic Mismatch Between Jobs and Housing - Keith R. Ihlanfeldt and David L. Sjoquist

Over the last 20 years, states have adopted tax incentives focused on film production. Louisiana adopted the first state tax incentive program for film production in 1992, and by 2009 such tax incentive programs had expanded to 44 states plus the District of Columbia. The purpose of this paper is to identify the factors that explain the pattern of adoption of state film tax incentive programs. We develop a theoretical framework for analyzing states' decision to adopt these programs that considers both internal characteristics and diffusion. We empirically investigate the timing of states' adoption of film tax incentives using the Cox proportional hazards model with time‐varying predictors. The estimates of many of the hazard ratios are consistent with our expectation, although several are statistically insignificant. As expected, the pattern of adoption across states supports the hypothesis that it is a "mimicking" phenomenon. However, we find that fiscal stress results in faster adoption of film tax credits, contrary to expectations, but consistent with the notion that states look at them as a "luxury."

The "Great Recession" wreaked havoc on the revenues of state governments. In this article, we use various indicators to measure how the revenues of different state governments have—or have not—recovered in the aftermath of the Great Recession. Importantly, we also attempt to explain why these different patterns of revenue recovery have emerged. Overall, we find that some, but far from all, state governments have recovered the revenue they lost during the Great Recession. We also find that there is no single causal explanation for recovery that applies to all state governments.

The 'Great Recession' wreaked havoc on the revenues of state governments. In this article, we use various indicators to measure how the revenues of different state governments have-or have not-recovered in the aftermath of the Great Recession. Importantly, we also attempt to explain why these different patterns of revenue recovery have emerged. Overall, we find that some, but far from all, state governments have recovered the revenue they lost during the Great Recession. We also find that there is no single causal explanation for recovery that applies to all state governments. Adapted from the source document.

ABSTRACTNew business formation is an important stimulant to economic activity. However, some 20 percent of new firms die within their first year of operation. Policy makers designing programs to engineer regional economic development need to know what specific factors affect new firm survival. This paper conducts an analysis of the determinants of survival for new enterprises in the state of Georgia. Special emphasis is placed on the importance of local factors. Duration analysis is applied to four cohorts of new enterprises starting during the period 2001 to 2004. The results show that firms located in urban areas are at a higher risk of failure. However, firms situated in counties that have achieved a high level of economic development stand a better chance of surviving. Other factors such as firm size, ownership structure, industry entry rates, and business cycle fluctuations are also influential.