Economic Indicators : U.S. Housing Forecasts : Predictions Based on the U.S. Census Data

dc.contributor.authorFink, Andrew
dc.contributor.authorPajtash, Wyatt
dc.contributor.authorLi, Yan
dc.date.accessioned2020-03-27T12:56:02Z
dc.date.available2020-03-27T12:56:02Z
dc.date.issued2019-05
dc.descriptionColor poster with text, photographs, and graphs.en_US
dc.description.abstractForecasting is vital and has far-reaching impact on business performance and economic development. Housing price is a crucial indicator because it reflects the health of an economy. By using a linear regression model with autoregressive-moving-average components along with monthly / quarterly data dating back to 1975, we carried out forecasting on median housing prices and houses sold in various regions across the United States. Our model generated quality forecasts and allowed us to predict how U.S. housing prices and units sold may vary over the next few years.en_US
dc.description.sponsorshipUniversity of Wisconsin--Eau Claire Office of Research and Sponsored Programsen_US
dc.identifier.urihttp://digital.library.wisc.edu/1793/79960
dc.language.isoen_USen_US
dc.relation.ispartofseriesUSGZE AS589;
dc.subjectHousing pricesen_US
dc.subjectEconomic indicatorsen_US
dc.subjectPostersen_US
dc.titleEconomic Indicators : U.S. Housing Forecasts : Predictions Based on the U.S. Census Dataen_US
dc.typePresentationen_US

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