Empirical Approaches to the Problem of Aggregation Over Individuals
Empirical Approaches to the Problem of Aggregation Over Individuals
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In our eReader you can find the full English version of the book. Read Empirical Approaches to the Problem of Aggregation Over Individuals Online - link to read the book on full screen. Our eReader also allows you to upload and read Pdf, Txt, ePub and fb2 books. In the Mini eReder on the page below you can quickly view all pages of the book - Read Book Empirical Approaches to the Problem of Aggregation Over Individuals
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To quickly assess the difficulty of the text, read a short excerpt:
If b is constant for all t, then one can only conclude that the large -small differences are sufficiently smeared in the aggregate data as not to be noticed empirically. This is an unfortunate "synchronization" of x. And /9. , as one cannot learn whether the data has involved a sectoral trend from "small" to "large" groups or vice versa, which is necessary information for applying the model out of sample. This issue has a simple answer, which is to model differences among ^. 's using observable... micro data, so that the aggregate model reflects as many systematic features of individual behavior as possible. Modeling all coefficient differences in this way amounts to an exact aggregation approach, with the "aggregation factors" based on observable features only.
Another depiction of the "synchronization" phenomena is given in Clive Granger's (1987, 1990) analysis of "common factors. " This work points out how studies of individual level data involve different sources of variation from studies of aggregate level data, as follows.
What to read after Empirical Approaches to the Problem of Aggregation Over Individuals?
You can find similar books in the "Read Also" column, or choose other free books by Thomas M Stoker to read onlineMoreLess
To quickly assess the difficulty of the text, read a short excerpt:
If b is constant for all t, then one can only conclude that the large -small differences are sufficiently smeared in the aggregate data as not to be noticed empirically. This is an unfortunate "synchronization" of x. And /9. , as one cannot learn whether the data has involved a sectoral trend from "small" to "large" groups or vice versa, which is necessary information for applying the model out of sample. This issue has a simple answer, which is to model differences among ^. 's using observable... micro data, so that the aggregate model reflects as many systematic features of individual behavior as possible. Modeling all coefficient differences in this way amounts to an exact aggregation approach, with the "aggregation factors" based on observable features only.
Another depiction of the "synchronization" phenomena is given in Clive Granger's (1987, 1990) analysis of "common factors. " This work points out how studies of individual level data involve different sources of variation from studies of aggregate level data, as follows.
What to read after Empirical Approaches to the Problem of Aggregation Over Individuals?
You can find similar books in the "Read Also" column, or choose other free books by Thomas M Stoker to read onlineMoreLess
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