Surplus Value - Measurement

Measurement

The first attempt to measure the rate of surplus-value in money-units was by Marx himself in chapter 9 of Das Kapital, using factory data of a spinning mill supplied by Friedrich Engels (though Marx credits "a Manchester spinner"). Both in published and unpublished manuscripts, Marx examines variables affecting the rate and mass of surplus-value in detail.

Some Marxian economists argue that Marx thought the possibility of measuring surplus value depends on the publicly available data. We can develop statistical indicators of trends, without mistakenly conflating data with the real thing they represent, or postulating "perfect measurements or perfect data" in the empiricist manner.

Since early studies by Marxian economists like Eugen Varga, Charles Bettelheim, Joseph Gillmann, Edward Wolff and Shane Mage, there have been numerous attempts by Marxian economists to measure the trend in surplus-value statistically using national accounts data. The most convincing modern attempt is probably that of Professors Anwar Shaikh & Ahmet Tonak .

Usually this type of research involves reworking the components of the official measures of gross output and capital outlays to approximate Marxian categories, in order to estimate empirically the trends in the ratios thought important in the Marxian explanation of capital accumulation and economic growth: the rate of surplus-value, the organic composition of capital, the rate of profit, the rate of increase in the capital stock, and the rate of reinvestment of realised surplus-value in production.

The Marxian mathematicians Emmanuel Farjoun and Moshé Machover argue that "even if the rate of surplus value has changed by 10-20% over a hundred years, the real problem is why it has changed so little" (quoted from The Laws of Chaos; A Probabilistic Approach to Political Economy (1983), p. 192). The answer to that question must, in part, be sought in artifacts (statistical distortion effects) of data collection procedures. Mathematical extrapolations are ultimately based on the data available, but that data itself may be fragmentary and not the "complete picture".