His work emphasized the complexity of underlying economic data, stressing
the importance of large numbers of observations and the limitations
of simple models based on one phase of historical experience. According
to Kuznets, economic data must include information on population structure,
technology, the quality of labour, government structure, trade, and
markets in order to provide an accurate model. In particular, he emphasized,
on the basis of the statistical series that he accumulated, how little
of economic growth can be attributed in the conventional manner to the
accumulation of labour and capital. He also described the existence
of cyclical variations in growth rates (now called "Kuznets cycles")
and their links with underlying factors such as population.
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