Information sharing and state revenue forecasting performance

dc.contributor.authorSpreen, Thomas L.
dc.contributor.authorMartinez Guzman, Juan P.
dc.date.accessioned2023-09-28T19:29:45Z
dc.date.available2023-09-28T19:29:45Z
dc.date.issued2022-09-18
dc.description.abstractThis study evaluates whether intergovernmental information sharing enhances forecasting performance. This is accomplished by examining the accuracy of state revenue forecasts following the federal passage of the Tax Cuts and Jobs Act (TCJA) of 2017. The quantitative analysis suggests that states that shared information produced more accurate corporate income tax forecasts than nonsharing states. This result is consistent with surveys and interviews of federal and state officials that reported significant information-sharing activity arising from uncertainty about the TCJA's corporate income tax provisions. This study demonstrates that information sharing plays an important yet overlooked role in mitigating forecast uncertainty.
dc.description.urihttps://doi.org/10.1111/pbaf.12329
dc.identifierhttps://doi.org/10.13016/dspace/peox-xni1
dc.identifier.citationSpreen, Thomas L., and Martinez Guzman, Juan P.. 2022. “ Information Sharing and State Revenue Forecasting Performance.” Public Budgeting & Finance 42: 54–73.
dc.identifier.urihttp://hdl.handle.net/1903/30618
dc.language.isoen_US
dc.publisherWiley
dc.relation.isAvailableAtSchool of Public Policyen_us
dc.relation.isAvailableAtPublic Policyen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.titleInformation sharing and state revenue forecasting performance
dc.typeArticle
local.equitableAccessSubmissionNo

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