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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