There is an
eternal fight between economics and science. One of the most active fronts that
economics holds against scientific knowledge and even common sense is data. Behind
this front, in the realm of economics, the soldiers and commanders of economic
knowledge commit suicide. Every time, when they use own data.
For a physicist,
high data quality is a must. Economists revise their estimates at a high rate
and deliberately make them incompatible over time. This is a suicide. Today, I
ran across a dramatic update to the Total Economy Database (TED) maintained by
the Conference Board. I use this database extensively and always considered it
as a reliable source of macroeconomic estimates. Before today.
So, what is the
problem? When modeling labor productivity in developed countries I used the Geary-Khamis
estimates expressed in 1990 US dollars. The data gave excellent results
reported in this blog and a few papers (1, 2,
3). For Turkey, I presented the following figure
in 2010:
Figure 1.
Comparison of the measured and predicted labor force productivity in Turkey based
on the 2010 Total Economy Database.
Today, I tried
to update the previous model using the 2013 version of TED and found the following
pattern:
Figure 2.
Comparison of measured and predicted labor force productivity in Turkey based
on the 2013 Total Economy Database.
Figure 3. The difference
between the 2013 and 2010 versions of the TED for labor force productivity (LP)
and GDP per capita in Turkey.
Figure 4. The difference
between the 2013 and 2010 versions of the TED for labor force productivity in
selected developed countries.
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