U.S. Census Bureau
Housing & Urban Development
Months' Supply, Not Seasonally Adjusted
The months' supply is the ratio of houses for sale to houses sold in the US, indicating how long the current for-sale inventory would last given the current sales rate if no additional new houses were built. This is indicative of supply and demand of houses in the US, as well as the overall economic situation.
The data shows autocorrection, seasonality and a non-normal distribution. The data should be differenced and seasonally adjusted. While the Square Root transformation, provides the best normality, the Log variable will also perform well.
Data is able to be distributed by time but not by geography. The roll up method used is Sum.
Supply of Houses in the US - Not Seas Adj
Auto Correction Function
Auto Correlation Function After Differencing
Partial Auto Correlation Function
Seasonal and Trend Decompostion
Data shows autocorrectation indicating a need for differencing
The ACF indicates 1 order differencing is appropriate.
Further differencing is reccommended
The Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test, KPSS Trend = 0.09 p-value = 0.10 indicates that the data is stationary.
The Shapiro-Wilk test returned W = 0.96 with a p-value =0.01 indicating the data does not follow a normal distribution.
A skewness score of 0.74 indicates the data are moderately skewed.
Hartigan's dip test score of 0.04 with a p-value of 0.35 inidcates the data is unimodal
Statistics (Pearson P/ df, lower => more normal)
U.S. Census Bureau and U.S. Department of Housing and Urban Development, Monthly Supply of Houses in the United States [MSACSRNSA], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/MSACSRNSA, December 15, 2019.