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town for 76 quarters (19 years). Each observation corresponds to a transaction,
and one house can appear in multiple observations. The dataset has 22 variables,
and brief variable description is provided in the worksheet “Info.” The data also
contains 76 dummy variables (d_q1 through d_q76) indicating the quarter of
sales for each house.
percentiles at 1%, 5%, 10%, 25%, 75%, 90%, 95%, 99% of “Living Area” and
dataset using the data in “Hedonic Data” worksheet.
house price index (with 1st quarter as base quarter) and draw a graph
(quarter on the horizontal axis and index on the vertical axis).
houses sold more than once. Compare characteristics of the whole dataset
and the repeat sample
“Repeat Sales Data 3” worksheet. Assume all the housing characteristics
didn’t change between sales.
“Repeat Sales Data 3” worksheet again. However, do NOT assume all the
housing characteristics didn’t change between sales, but include all the (first
order differenced) housing characteristics in the regression.
constructed indices are not the same.