Figure 1.
Time series of the literary misery index for all books calculated through WNA (white circles), versus the U.S. economic misery index
(red circles).
has been scaled by a factor of 10 to allow a better comparison.
Figure 2.
Moving average of economic misery.
(a) The effect of varying the moving average period, τ, versus a simple lag, on correlation expressed as Pearson's r between the time series of for all books of 1900–2000 and U.S. misery index (b) Time series for
, the 11-year moving average of the U.S. misery index (red circles), versus literary misery index,
, derived from all books calculated through WNA (white circles). Similarly to Figure 1,
has been scaled by a factor of 10 to allow a better comparison.
Figure 3.
Time period and economic index.
(a) The effect of varying the moving average period, τ, on correlation expressed as Pearson's r between the time series of for all books in the Google data and U.S. economy misery index,
from 1900 to 2000 (blue line) and between the the two same time series from 1929 to 2000 (red line) (b) Scatterplot of literary misery index,
, versus the 11-year moving average of U.S. economy misery index,
, from 1929 to 2000. (c) The effect of varying the moving average period, τ, on correlation expressed as Pearsons r between the time series of
for all books in the Google data of 1900–2000 versus U.S. misery index (blue line), U.S. unemployment rate (red line), and U.S. inflation rate (black line).
Table 1.
Correlations between the 11-year moving average on the U.S. misery index and different literary samples, 1929 to 2000.
Figure 4.
Repeating the analysis on German economic and literary misery.
(a) The effect of varying the moving average period, , versus as a simple lag, on correlation between for German LIWC and German misery index (b) Time series of the literary misery index for all books calculated through German LIWC (white circles), versus the German economic misery index (red circles).