摘要:This study examines factors that previous literature has found to influence real estate prices over both annual and monthly timeframes. This study is based on a unique dataset of daily asking price changes of two-to-four unit residential buildings in Chicago. The final sample consisted of 4,749 sold properties resulting in 12,807 unique daily price changes to examine. The purpose of this study was to examine if prices moved as a result of more than the 800 micro and macroeconomic event announcements over this six year period, 2005-2011. Logistic regressions were used to show how little these publicized announcements are reflected in the price adjustments that lead to a sale. Regression analyses were also completed in an attempt to examine the impact on price and the quantity of changes. The combined findings from these models suggest that practitioners and sellers do not look to these publicized announcements to determine price adjustments and that previous findings cannot be replicated in smaller event windows.