Abstract

Recent theories have provided a persuasive account of a key stylized fact of mature economies: the common long-run trends of average real wages and labor productivity, and the ensuing stationarity of functional distribution. Central to these theories is the notion of directed technical change, which claims that a rise in labor costs sparks the adoption of labor-saving innovations. This paper empirically examines a core prediction of these theories, namely that shocks to functional distribution elicit compensatory adjustments in real product wages and labor productivity. Using two disaggregated data-sets of manufacturing industries (EU-Klems and Unido), I find evidence of cointegration and two-way, long-run Granger causality between these two variables. These findings suggest that directed technical change is indeed key for producing stationarity in functional distribution, and they complement the recent empirical literature on distributive cycles and productivity growth. Preliminary evidence from the Unido data-set also suggests the importance of directed technical change in developing countries. To illuminate the empirical procedure, I present a theoretical model of growth and distribution with directed technical change.

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