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Articles 1 - 2 of 2
Full-Text Articles in Business
Budgeting By Priorities: Balancing Stability With Economic Responsiveness, Meagan M. Jordan, Juita-Elena (Wie) Yusuf, Somayeh Hooshmand
Budgeting By Priorities: Balancing Stability With Economic Responsiveness, Meagan M. Jordan, Juita-Elena (Wie) Yusuf, Somayeh Hooshmand
School of Public Service Faculty Publications
This article investigates how the budget priorities of Arkansas state government departments vary with changes in economic conditions. The Arkansas Revenue Stabilization Act (ARSA) of 1945 established a formalized method of state budgeting by priorities. State funds are allocated, meaning the funds are legally made available, according to priority levels established each year by the Governor and the General Assembly. Those allocated funds are later distributed, meaning released for spending, according to priority levels as funds become available. In this study, we ask the research question: Are departmental budget priorities driven by stability or are they responsive to economic condition? …
Accounting For Locational, Temporal, And Physical Similarity Of Residential Sales In Mass Appraisal Modeling: The Development And Application Of Geographically, Temporally, And Characteristically Weighted Regression, Paul E. Bidanset, Michael Mccord, John R. Lombard, Peadar Davis, William J. Mccluskey
Accounting For Locational, Temporal, And Physical Similarity Of Residential Sales In Mass Appraisal Modeling: The Development And Application Of Geographically, Temporally, And Characteristically Weighted Regression, Paul E. Bidanset, Michael Mccord, John R. Lombard, Peadar Davis, William J. Mccluskey
School of Public Service Faculty Publications
Geographically weighted regression (GWR) has been recognized in the assessment community as a viable automated valuation model (AVM) to help overcome, at least in part, modeling hurdles associated with location, such as spatial heterogeneity and spatial autocorrelation of error terms. Although previous researchers have adjusted the GWR weights matrix to also weight by time of sale or by structural similarity of properties in AVMs, the research described in this paper is the first that has done so by all three dimensions (i.e., location, structural similarity, and time of sale) simultaneously. Using 24 years of single-family residential sales in Fairfax, Virginia, …