the following concerns a problem I’m working on for a course I am taking.
The basic question is whether the idea of non-precisive abstractions is still useful when we apply it to events over time in the form of counterfactual comparison.
The main reason that it may not be useful would be that it is impossible to isolate causal factors through time, to apply non-precisive abstractions to events. Below I explain this in some more detail
Two types of abstractions
Roderick Long argues for a distinction between two types of abstraction (Long 2006). The first type of abstraction specifies that certain things are absent in the theory or model. So for example, this kind of abstraction could specify that uncertainty is absent, that entrepreneurial error is absent, that time is absent, that choice is absent, and, more innocuously, that sellers have no hair color, have no history and so on. Such statements are unrealistic or just downright false.
The second type of abstraction does not specify that certain factors are absent but simply does not specify them. So if I for example think of a horse I can think of it as not having a color, or I consider it not as having a specific color. In the latter case I don’t say that the horse is colorless but I simply think of the horse without thinking about its color. The latter type of abstraction is called non-precisive abstraction and the former type is called precisive abstraction.
Counterfactual comparisons
A prediction is a comparison of a before-state and an after-state. Suppose unemployment in the Netherlands is currently at 5 percent. Suppose furthermore that now the minimum wage increases from 7 euro an hour to 10 euro an hour. This means that the costs for firms to employ people will stay the same (in case all their employees already earned 7 euro an hour or more) or increase (in case some employees earned less than 7 euro an hour) Our prediction says that unemployment will be greater in the new state than it was in the old state.
But it may very well be that at the time that the minimum wage was increased for example all sorts of licensing laws were abolished, making entry into certain professions easier. In this case it may very well be that unemployment will actually decrease despite the increase in the minimum wage. Does this make the economic theory that says that unemployment will stay the same or increase when the minimum wage is increased false or less realistic? Should we for example specify in more detail the conditions under which the prediction would be true?
One possible answer is to hold that economic theory is unaffected but when applied to the real world, that is infinitely more complex, predictions made with the help of theory may only point to tendencies rather than be absolute, precise predictions. This is the approach the marginalists and the evolutionary economists took: they speak of tendencies and they may try to refine the theory by building in more restrictive initial conditions or by becoming clearer about the causal mechanisms involved.
Another type of approach would take the form of for example ceteris paribus or ceteris absentibus clauses . The first type of clauses specifies that all else remains equal and the second clause specifies that all other forces are inoperative. At the risk of belaboring the point, both types of clauses then specify a condition, thereby making them into precisive abstractions. Since in reality both conditions cannot be fulfilled (things do not remain the same, and other things do have an influence) such precisive abstractions are false.
A non-precisive abstraction on the other hand would not compare the before-state with the after-state and specify unrealistic conditions pertaining to them and to the transition from the one into the other, but would instead look at the change only in terms of the influence of the increase in the minimum wage. So we would not say that everything stays the same or that other factors exert no influence. We are only concerned with this specific factor.
By using a non-precisive abstraction we make a different kind of comparison, a counterfactual one . We compare two wholly realistic states: one in which the minimum wage did increase and one in which it did not. We do not say that all the other factors stayed the same or that they did not exert any influence, but only that changes in them make no difference for the comparison of the actual scenario with that of the counterfactual scenario. The changes in or influence from the other factors is real but it is also the same in both scenario’s, so in terms of the comparison of the two scenario’s they are not relevant.
In other words, a non-precisive and thus counterfactual analysis would not say ‘An increase in the minimum wage results in equal or greater unemployment’ but ‘Unemployment will be equal to or greater than it would have been without the increase in the minimum wage’. So the comparison is not between a before-state and an after-state but between the actual and the counterfactual scenario. And the difference between the actual and the counterfactual scenario is only one with respect to the one element of an increase in the minimum wage or not.
Problem
The problem with this solution (and one Long also casually acknowledges) is the following:
It may very well be the case that the increase in the minimum wage for example prompts entrepreneurs to invest more in technology and that a new technological finding that emerges from this will exactly increase employment, or that unions because the minimum wage is increased now are a-okay with abolishing some laws that make it hard to fire people, etc.
So in these cases the increase in the minimum wage sets in motion another process that would not have occurred without the increase but that exactly results in a decrease in unemployment. In such cases even the counterfactual analysis that holds that unemployment would have been equal to or smaller in the scenario in which the increase in the minimum wage had not occurred seems to just be false.
This also points to a problem concerning the role of time in such counterfactual analyses: for what amount of time do these counterfactual laws hold? Given the strong interdependence of factors sooner or later a process may be set in motion by a certain change that countervails the effects of the change itself.
It would be interesting to investigate this topic in more detail, to see if this aspect can somehow be incorporated into counterfactual analysis.
Relevant literature:
Hülsmann, Jörg Guido. 2003. “Facts and Counterfactuals in Economic Law”, Journal of Libertarian Studies. Volume 17, no. 1 (Winter 2003), pp. 57–102.
Hülsmann, Jörg Guido. 2000. “A Realist Approach to Equilibrium Analysis.”. The Quarterly Journal of Austrian Economics, Vol. 3, No. 4 (Winter 2000), pp. 3-51
Long, Roderick T. 2006. “Realism and Abstraction in Economics” The Quarterly Journal of Austrian Economics, Vol. 9, No. 3 (Fall 2006): 3–23