Public Finance Journal https://www.publicfinance.org/index.php/pfj <p><em>Public Finance Journal </em>is a biannual journal publishing peer-reviewed research that examines and analyzes contemporary issues in budgeting and finance and explores the applicability of solution sets. The journal is published by the Government Finance Officers Association and serves as a forum for discussion on significant issues related to the advancement of our scientific understanding.</p> en-US <p>Manuscripts accepted for publication in PF are licensed under a <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noopener">Creative Commons Attribution 4.0 License</a> (CC-BY 4.0). It allows all uses of published manuscripts but requires attribution.</p> <p>The CC-BY license applies also to data, code, and experimental material, except when it conflicts with a prior copyright. Common courtesy requires informing authors of new uses of their data, as well as acknowledging the source.</p> [email protected] (Bruce D. McDonald III) [email protected] (Bruce D. McDonald III) Mon, 01 Apr 2024 04:00:15 +0000 OJS 3.3.0.13 http://blogs.law.harvard.edu/tech/rss 60 The Municipal Financial Crisis https://www.publicfinance.org/index.php/pfj/article/view/12 <p>Moses, M. (2022). <em>The municipal financial crisis: A framework for understanding and fixing government budgeting</em>. Palgrave Macmillan, 184 pp., $49.99 (paperback), ISBN: 978-3-030-87835-1.</p> Kenneth W. Hunter Copyright (c) 2024 Kenneth W. Hunter https://creativecommons.org/licenses/by/4.0 https://www.publicfinance.org/index.php/pfj/article/view/12 Mon, 19 Feb 2024 00:00:00 +0000 Municipal Fiscal Stress, Bankruptcies, and Other Financial Emergencies https://www.publicfinance.org/index.php/pfj/article/view/14 <p>Guzman, T., &amp; Ermasova, N. (2023). <em>Municipal fiscal stress, bankruptcies, and other financial emergencies.</em> Routledge, 310 pp., $49.95 (paperback), ISBN: 978-1-032-34938-1.</p> Jonathan B. Justice Copyright (c) 2024 Jonathan B. Justice https://creativecommons.org/licenses/by/4.0 https://www.publicfinance.org/index.php/pfj/article/view/14 Mon, 26 Feb 2024 00:00:00 +0000 Financial Strategy for Public Managers https://www.publicfinance.org/index.php/pfj/article/view/13 <p>Kioko, S., &amp; Marlowe, J. (2023). Financial strategy for public managers (4th ed.). University of Washington, 254pp., $0.00 (ebook), ISBN: 978-1-927-47259-0. https://uw.pressbooks.pub/financialstrategy/</p> Stephanie Leiser Copyright (c) 2024 Stephanie Leiser https://creativecommons.org/licenses/by/4.0 https://www.publicfinance.org/index.php/pfj/article/view/13 Mon, 04 Mar 2024 00:00:00 +0000 Establishing an Agenda for Public Budgeting and Finance Research https://www.publicfinance.org/index.php/pfj/article/view/15 <p>Public budgeting and finance is a discipline that encompasses communities of research and practice. Too often, however, these communities fail to engage each other, instead choosing to operate independently. The result is that the research being conducted fails to address the questions of the day and our governments’ challenges. In this article, we come together as a community of academics and practitioners to establish an agenda for where future research should be conducted. This agenda aims to align the research being undertaken within the academic community with the needs of those working in the community of practice. After establishing ten areas where research is needed, we followed a ranked-choice voting process to establish a prioritization for them. Based on the outcome of this process, the two primary areas where research is currently needed most are the fiscal health of our governments and the implementation of social equity budgeting.</p> <p><span style="font-weight: 400;"> </span></p> Bruce D. McDonald III, Sarah E. Larson, Craig S. Maher, Shayne Kavanagh, Kenneth W. Hunter, Christopher B. Goodman, Honey Minkowitz, Sean A. McCandless, Saman Afshan, Meagan M. Jordan, Michaela E. Abbott, Whitney Afonso, Haris Alibašić, Joanne Allen, John Allore, Laura Mason Altizer, Ralph Amador, Brian An, Ljubinka Andonoska, Lachezar G. Anguelov, Theodore Arapis, Carolyn Arcand, George Atisa, Lonce Bailey, Celeste Baker, Brian Barnett, Christina Barsky, John R. Bartle, David Beck, Jane Beckett-Camarata, Michael Bednarczuk, Toy S. Beeninga, Terry Bellamy, L. J. Bilmes, Carol Block, David Boyd, Kaelan Boyd, Spencer Brien, Kevin M. Bronner, Douglas Brook, Marlon I. Brown, Benjamin M. Brunjes, Eric Brunner, Beverly Bunch, Thad D. Calabrese, Douglas A. Carr, Michelle Casciato, Crystal Certain, Cleopatra Charles, Can Chen, Gang Chen, Debby Cherney, Cary Christian, Benjamin Y. Clark, Shane Corbin, Daniel Costie, Jason Cournoyer, Andrew Crosby, Jeff Cummins, Stephanie Dean Davis, J. W. Decker, Jessica DeShazo, Ana Maria Dimand, Amy K. Donahue, James W. Douglas, Janet Dutcher, Komla Dzigbede, Robert J. Eger III, Todd L. Ely, Natalia Ermasova, Liz Farmer, Lucianna Farmer, Dagney Faulk, Drew Finley, Carla Flink, Michael Ford, Daniel Foth, Aimee L. Franklin, Mike Franks, Marc Fudge, Richard Funderburg, Carl J. Gabrini, Bryan Gadow, David Gentry, Chris Godlewski, Suzanne Gooding, Andrew J. Grandage, Robert Greer, Christian Griffith, Amanda Grogan, Merl Hackbart, William Hatcher, Michael Hattery, Michael Hayes, Kellie Hebert, Rebecca Hendrick, Edward Hill, Susan Hiscocks, Alfred Tat-Kei Ho, Trang Hoang, Ellenore Holbrook, Mike Hoppe, Yilin Hou, John Hudson, Nancy Hudspeth, Jackie Huffman, Mikhail Ivonchyk, G. Jason Jolley, Peter A. Jones, Jason Juffras, Jonathan B. Justice, Amanda Kass, Heidi F. Kerns, Junghack Kim, Saerim Kim, Lynn Korn, Arwi Kriz, Olha Krupa, Jennifer Lampman, Jim Landers, Keith Lane, Jekyung Lee, Keith Lee, Sooho Lee, Matthew D. Leight, Stephanie Leiser, Agustin Leon Moreta, Helisse Levine, Tony Levitas, Sungdae Lim, Michelle L. Lofton, Felipe Lozano-Rojas, Martin Luby, Onyumbe E. Lukongo, Jennifer Mace, Kaitrin Mahar, Joseph Martin, David S. T. Matkin, Rusty Mau, Arche McAdoo, Anthony McCann, Dean Michael Mead, Kirk Medlin, Charles E. Menifield, Justin Merritt, John J. Metro, Roy Meyers, David Mitchell, Thomas W. Moeller, Zachary Mohr, Temirlan T. Moldogaziev, Bryant Morehead, Chris Morrill, Sian Mughan, Joyce Munro, Bruce Neubauer, Melissa Neuman, Phuong Nguyen-Hoang, Marc Nicole, James Nordin, Julius A. Nukpezah, Susan O'Brien, Amy Oland, Julie Osteen, Amber Overholser, Michael Overton, Sungho Park, Jordan Paschal, Rahul Pathak, Marvin Phaup, Kawika Pierson, Wendy Pope, Geoffrey Propheter, Steve Redburn, Lesley Reder, David S. Reed, Vincent Reitano, Sam Riddle, William C. Rivenbark, Alejandro Rodriguez, Mark Romito, Justin Ross, Irene Rubin, Nicholas R. Sadler, Nicholas Sarpy, Josephine Gatti Schafer, Robert Schuhmann, Elizabeth A. M. Searing, Alex Sekwat, Iuliia Shybalkina, Akheil Singla, Alex Smith, Christy Smith, Zachary A. Smith, Douglas R. Snow, Dragan Stanisevski, Jon Stehle, Eric Stokan, Samuel B. Stone, David Swindell, Charles Taylor, Lori Taylor, Tran Thein Vu, Jay Toland, John Topinka, Evelyn Trammell, Paul Trogen, Ed Van Eenoo, Elizabeth Goltry Wadle, Sally Wallace, Shu Wang, Rob Wassmer, Paul Weinstein Jr., Amy M. Wells, Laura Wheeler, Daniel W. Williams, Katherine Willoughby, Darrin Wilson, Paul Winfree, Sharon Wojda, Blue Wooldridge, Paige Worsham, Kristina Wright, Stefen Wynn, Yan Xiao, H. Daniel Xu, Lang Kate Yang, Juita-Elena (Wie) Yusuf, Aziza Zemrani, Zhirong Jerry Zhao, Nancy Zielke Copyright (c) 2024 Bruce D. McDonald III, Sarah E. Larson, Craig S. Maher, Shayne Kavanagh, Kenneth W. Hunter, Christopher B. Goodman, Honey Minkowitz, Sean A. McCandless, Saman Afshan, Meagan M. Jordan https://creativecommons.org/licenses/by/4.0 https://www.publicfinance.org/index.php/pfj/article/view/15 Mon, 01 Apr 2024 00:00:00 +0000 Modeling Approach Matters, But Not as Much as Preprocessing https://www.publicfinance.org/index.php/pfj/article/view/8 <p>Revenue forecasting accuracy is critical to governmental operations. This paper addresses the question: What is the best technique for forecasting sales tax revenue? Prior studies in this area have focused on the differences between machine learning techniques and traditional approaches and neglected to consider how differences in pre-processing steps for the data before the forecasting model is applied are important. Here, we show that machine learning techniques do not always provide increased forecasting accuracy. Instead, the modeling choices matter, but less than the prior literature and practice suggested. Rather, pre-processing makes the most significant difference in forecasting accuracy, and forecasters need to understand the unique characteristics of time series data to improve forecasting performance. The immediate implications of these findings are that the focus of practitioners of in sales tax revenue forecasting should shift from prioritizing model choice towards data pre-processing.</p> Sarah E. Larson, Michael Overton Copyright (c) 2024 Sarah E. Larson, Michael Overton https://creativecommons.org/licenses/by/4.0 https://www.publicfinance.org/index.php/pfj/article/view/8 Mon, 11 Mar 2024 00:00:00 +0000 AI as a Budgeting Tool: Panacea or Pandora’s Box? https://www.publicfinance.org/index.php/pfj/article/view/6 <p>Local government officials are consistently tasked with doing more with less. The combination of fiscal institutions, devolution of fiscal federalism, voter frustration, and economic shocks have been the leading causes of these more recent challenges. However, the reality is that smaller local governments, by their very nature, struggle with service provision. This paper explores the next evolution of change to local governments – artificial intelligence (AI), specifically ChatGPT – and its potential for local governments. We discuss the use of AI in budgeting, with a focus on financial data management and statistical analysis, including forecasting and policy recommendations for a small Nebraska municipality. Our experience with ChatGPT highlights its powerful capabilities for data processing. Transitioning to ChatGPT-4 from ChatGPT-3.5 (with or without Python) improved data processing efficiency but introduced financial costs, and we observed that the use of detailed and precise prompts enhances output quality across all versions. Achieving a balance between time, cost, data preparation, and prompt precision is crucial for optimizing the potential of ChatGPT in financial data analysis.</p> Michael Lee, Daniel Hayes, Craig S. Maher Copyright (c) 2024 Michael Lee, Daniel Hayes, Craig S. Maher https://creativecommons.org/licenses/by/4.0 https://www.publicfinance.org/index.php/pfj/article/view/6 Mon, 18 Mar 2024 00:00:00 +0000 Adoption of Property Tax Expenditure and Limitations by U.S. States https://www.publicfinance.org/index.php/pfj/article/view/7 <p>Property tax expenditure and limitations (TELs) are key tools used by U.S. states to control local government spending and taxing authority. This paper employs a multiple events history analysis to understand the factors influencing the adoption of county-level property tax TELs by state governments. The findings show that external factors such as policy learning, competition, imitation, and coercion play crucial roles in this process. Notably, the study reveals that higher out-migration rates and the presence of voter-based ballot initiatives significantly increase the likelihood of TEL adoption. Additionally, the spread of TELs is influenced more by national trends rather than neighboring state actions, highlighting the saliency of these policies. These findings shed light on the dynamics of policy diffusion and provide insights into the interplay between state-level decisions and local government financial autonomy. The study’s implications extend beyond public finance, offering a nuanced understanding of policy adoption and diffusion in federal systems.</p> J. W. Decker Copyright (c) 2024 J. W. Decker https://creativecommons.org/licenses/by/4.0 https://www.publicfinance.org/index.php/pfj/article/view/7 Mon, 01 Apr 2024 00:00:00 +0000 Bridging the Divide https://www.publicfinance.org/index.php/pfj/article/view/16 <p>The creation of <em><span data-preserver-spaces="true">Public Finance Journal</span></em><span data-preserver-spaces="true"> (</span><em><span data-preserver-spaces="true">PF)</span></em><span data-preserver-spaces="true"> is the culmination of several years of discussion about how best to address the divide between practitioners’ research needs and academic scholarship. </span><em><span data-preserver-spaces="true">PF’s</span></em><span data-preserver-spaces="true"> origin is predicated on the expectation that for a professional discipline such as public administration and the subfield of public budgeting and finance, in particular, there needs to be an easily accessible forum for the dissemination of ideas and solutions. This journal would not be possible without the support of the Government Finance Officers Association, the oversight committees, the editorial board, and those helping with the journal’s management. We are excited about the inaugural edition, where we have reviews of three important books, three thought-provoking research articles, and an article that surveys current research needs in the budget and finance field as expressed by faculty and practitioners.</span></p> Bruce D. McDonald III, Craig S. Maher Copyright (c) 2024 Bruce D. McDonald III, Craig S. Maher https://creativecommons.org/licenses/by/4.0 https://www.publicfinance.org/index.php/pfj/article/view/16 Mon, 01 Apr 2024 00:00:00 +0000 Back Matter https://www.publicfinance.org/index.php/pfj/article/view/18 <p>Publication License, Submission Information and Back Cover</p> The Editors Copyright (c) 2024 Public Finance Journal https://creativecommons.org/licenses/by/4.0 https://www.publicfinance.org/index.php/pfj/article/view/18 Mon, 01 Apr 2024 00:00:00 +0000 Front Matter https://www.publicfinance.org/index.php/pfj/article/view/19 <p>Front Cover and Editorial Board</p> The Editors Copyright (c) 2024 Public Finance Journal https://creativecommons.org/licenses/by/4.0 https://www.publicfinance.org/index.php/pfj/article/view/19 Mon, 01 Apr 2024 00:00:00 +0000 Table of Contents https://www.publicfinance.org/index.php/pfj/article/view/17 The Editors Copyright (c) 2024 Public Finance Journal https://creativecommons.org/licenses/by/4.0 https://www.publicfinance.org/index.php/pfj/article/view/17 Mon, 01 Apr 2024 00:00:00 +0000