Most economists are in agreement that, through statistical and mathematical methods, one can organize historical data into a useful body of information, which can serve as the basis both for economic theory and assessments of the state of the economy. It is also believed that the knowledge secured from the data is tentative since it is not possible to know all the information, and future empirical information might falsify previous theory.
According to this thinking, we form a view regarding the real world based on how well various pieces of information are correlated with each other. Observe, however, that by establishing a correlation between consumer outlays and the various other pieces of information, one does not really explain the nature of consumer outlays, one just describes things. This type of analysis does not tell us much regarding the underlying cause and effect.
For example, the fact that a strong correlation was established between consumer outlays and disposable income does not imply that consumer outlays are caused by disposable income. It is quite possible that one could find a very good correlation with some other variable. Does this then imply that the other variable is the cause of consumer outlays?
Why the Methods of the Natural Sciences Are Not Applicable in Economics
Most economists are of the view that introducing the methods of the natural sciences (e.g., physics, biology, chemistry) in economics could lead to a major breakthrough in our understanding of the world of economics. Now, while the natural scientist can isolate certain variables, he does not, however, know the laws that govern these particles. All that he can do is hypothesize regarding the “true law” that governs the behavior of the various phenomena identified. On this, Murray Rothbard wrote:“The laws may only be hypothecated. Their validity can only be determined by logically deducing consequents from them, which can be verified by appeal to the laboratory facts. Even if the laws explain the facts, however, and their inferences are consistent with them, the laws of physics can never be absolutely established. For some other law may prove more elegant or capable of explaining a wider range of facts. In physics, therefore, postulated explanations have to be hypothecated in such a way that they or their consequents can be empirically tested. Even then, the laws are only tentatively rather than absolutely valid.”
While in the natural sciences we cannot know the true causes definitively, this is not the case with respect to economics. The fact that man engages in purposeful action implies that causes in the world of economics are known to us—they emanate from human beings themselves and not from outside factors. In economics we do not have to hypothesize regarding the true causes—we know them. Hence, we do not require any empirical testing by means of quantitative methods to verify something which is already known to us.
For instance, contrary to popular thinking, individual outlays on goods are not caused by real income as such. In his own unique context, every individual decides how much of a given income will be used for consumption and how much for other purposes (e.g., saving, investment). While it is true that people will respond to changes in their incomes, the response is not automatic. Every individual assesses the change in his income against the particular set of goals he wants to achieve. He might decide that, because of an increase in his income, it is more beneficial for him to increase his investment rather than to increase his consumption.
Further, a logically derived theory permits us to ascertain the reasons for the possible discrepancy between the data and the theory. Thus, according to economic theory, individuals assign a greater importance to present goods over future goods. This is necessarily true because people must see to at least some level of present consumption even to survive. Therefore, interest rates cannot be negative. If, however, we do observe negative interest rates, this does not mean that the theory is wrong but rather it forces the analyst to find out how this could have happened. Most likely, he will discover that the main reason for the discrepancy between the observed data and the theory is due to central bank monetary policies.
Again, given that causality is a necessary presupposition and, in economics, causality comes from human choices, there is no requirement to confirm cause and effect by means of quantitative methods. Furthermore, to pursue quantitative analysis implies the assignment of numbers, which can be subjected to all of the operations of arithmetic. To accomplish this, it is necessary to define an objective fixed unit. Such an objective unit, however, does not exist in the realm of human valuations. It is not possible to quantify individuals’ minds, judgments, or subjective valuations. Hence, the analysis of human conduct should be qualitative and not quantitative. If outside factors were driving human conduct, then this would imply that human beings are like robots that do not initiate their actions.







