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dc.contributor.authorLIU, JING
dc.date.accessioned2010-08-25T17:35:12Z
dc.date.available2010-08-25T17:35:12Z
dc.date.issued2010-08-25
dc.identifier.urihttp://hdl.handle.net/10222/13020
dc.description.abstractA nation’s housing sector has been the cornerstone of economic activity over the past several years. Right now, the economy of the United States is in a recession. To recover the economy, activity in the U.S. housing market deserves more attention, especially the new home market. Economists in the United States believe that if new home sales could keep increasing in the future, recovery of the whole housing market, even the whole economy in the U.S., would be hopeful. To bring the hope closer to the reality, forecasting changes in the new home market is important. An accurate forecast can provide useful information for the future, so that proper planning can take peace. The purpose of this thesis is to look for an appropriate method which can accurately forecast changes in new home sales and prices in the U.S. housing market, so that policy makers base decisions on reliable information.en_US
dc.language.isoenen_US
dc.subjectNew home sales, new home prices, forecast, time seriesen_US
dc.titleForecast new home sales and prices: a case study for the United Statesen_US
dc.date.defence2010-08-24
dc.contributor.departmentDepartment of Economicsen_US
dc.contributor.degreeMaster of Artsen_US
dc.contributor.external-examinerLeonard MacLeanen_US
dc.contributor.graduate-coordinatorMelvin Crossen_US
dc.contributor.thesis-readerDaniel Rosenblumen_US
dc.contributor.thesis-supervisorYonggan Zhaoen_US
dc.contributor.ethics-approvalNot Receiveden_US
dc.contributor.manuscriptsNoen_US
dc.contributor.copyright-releaseNoen_US
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