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The Property Tax in Focus: Are Assessments and Property Taxes Equitable?
No full textA number of recent studies have found lower-value residences assessed at higher proportions of sale price than higher-value properties. This session will review these findings and consider issues in the measurement of vertical equity in assessment and policies for its improvement
The Effect of Solar Systems on Home Values
No full textThe Orange County Property Appraiser’s Office has examined home values for homes with PV systems and compared the sale values of such homes from before and after the PV systems were installed. OCPA studied the effects of solar systems on home values to determine if there is a value impact on residential property after installing solar equipment. Additionally, numerous studies have attempted to bridge the data gaps that exist
Updating Your Cost Schedule: An Examination of RCN
No full textThis presentation will outline the steps in developing a cost study and outline methods to update cost table
What’s New with Spatial AVMs
No full textDiscussing the history of automated valuation, models using algorithms for mass appraisal, and introducing new methodologies
Tuesday Keynote Address: Water Wise Gulf South
No full textHear from the team at Water Wise Gulf South who will be joined by a local community organization building their capacity to advance green infrastructure in the region. The mission of Water Wise Gulf South is to empower individuals, neighborhoods, and marginalized communities to manage stormwater, thereby reducing localized flooding and providing many other benefits. We promote community-driven, ecologically-based solutions, known as green infrastructure, to infiltrate, filter, and detain stormwater runoff and improve water quality. Our approach is to build community leadership and demonstrate green infrastructure systems. We accomplish this by providing technical assistance, educational programming, green infrastructure leadership training, and green infrastructure implementation
GIS and CAMA Developments in the Netherlands
No full textDiscussion on developments in using GIS and CAMA, data management and assessment education; also, validation models in AVM’s
Mobile GIS! How To
No full textWhether you are doing a complete damage assessment or just taking pictures in the field, your GIS delivers benefits of collecting information in the field, but also delivering your enterprise data to field appraisers. This session will cover the GIS Damage Assessment, AGOL and the lessons learned in real disaster situations. This must-attend session if you have field workers support other departments with your data
A Unified Property Tax Ecosystem for Intuitive Workflow
No full textWhat if you could easily experience the digital transformation of an assessment office, its data collection, analysis tools, and revenue processes? Visualize the flow of online applications, to workflow, electronic communications, data analysis, and the ability to track and monitor it all — connecting communities and helping people thrive. See how scalable, agile solutions can eliminate challenges, streamline operations, and deliver a modern taxpayer experience within one ecosystem
An analysis of California\u27s state-county assessors\u27 partnership agreement program on county assessment administration spending
No full textCalifornia’s State-County Assessors’ Partnership Agreement Program (SCAPAP) provided selected counties with a dollar-for-dollar matching grant from the state for assessment administration over a three-year period from fiscal year 2015 through 2017. The policy goals for the grant were to boost local property tax collections and stimulate local spending on assessment administration. This study explores the effectiveness of the grant in accomplishing the second goal. Stimulated spending is the difference between assessors’ spending with the grant and their spending without the grant, but the policy evaluation problem is that we observe spending for participating counties only when they receive the grant. Spending levels when they do not receive the grant must be estimated. Using assessor expenditure data from 2007 through 2017 in a difference-in-difference research design, the study finds that for each $1 in state grants, counties provided 86 cents, which is consistent with counties reducing their baseline appropriations to assessors to divert some of the grant to other county functions. Nonetheless, the data also cannot rule out the possibility that counties fully matched the grant. The study provides compelling evidence supporting matching grants as a strategy to improve local investment in assessment administration
Prediction accuracy for property tax mass appraisal: A comparison between regularized machine learning and the eigenvector spatial filter approach
No full textPrediction accuracy for mass appraisal has evolved substantially over the last few decades, facilitated by the revolution in data availability and the advancement of computational software. Accompanying these advances, newer geospatial approaches and machine learning algorithms have opened up new horizons for price prediction and mass appraisal assessment. The application of machine learning (ML) and artificial intelligence (AI) within mass appraisal has generated considerable debate; these methods are often perceived as impractical because their explainability and defensibility—required for assessment application, notably in challenge scenarios—are limited. This study compares a traditional multiple regression analysis (MRA) approach with regularized (penalized) machine learning approaches and a more nuanced geostatistical technique, the eigenvector spatial filter (ESF) approach, applying data sets for two urban residential areas in the United Kingdom and the United States. The findings show the efficacy of the geostatistical ESF technique against the ML approaches—both of which outperform the traditional MRA. The findings also show the ESF approach provides the basis of a more understandable alternative spatial method for mass appraisal aligned with the MRA approach, with the spatial filters easily incorporated as predictors into MRA to alleviate spatial autocorrelation. Further, the penalized ML regression approaches offer a more practical alternative to other forms of ML for assessors. Both methods produce reliable yet understandable regression models for mass appraisal assessment