Uskali Mäki

In a series of insightful publications, Philip Pettit and Frank Jackson have argued for an explanatory ecumenism that is designed to justify a variety of types of social scientific explanation of different , including structural and rational choice explanations. Their arguments are put in terms of different kinds of explanatory information; the distinction between causal efficacy, causal relevance and explanatory relevance within their program model of explanation; and virtual reality and resilience explanation. The arguments are here assessed from the point of view of the illumination they are able to cast on the issue of economics imperialism, the project of privileging rational choice as a unifying basis for explanations. While the Jackson–Pettit arguments turn out to be helpful in specifying some of the ontological and pragmatic constraints on economics imperialism, they are also shown to conflate distinct dimensions in the purported explanantia (such as small grain and particular grain, and the macro and the existentially quantified) and thereby to miss an important class of individualist causal process explanations of social phenomena

Is economics a proper science at all? Or if it qualifies as a science, does it underperform, does it fail to fulfil its scientific duties? Does it perhaps just pretend to proceed as a science by applying principles and techniques that are not suitable for addressing its proper subject matter and for meeting the legitimate expectations? There is a long and live tradition of economics-bashing and economics apology in posing and answering such questions. One popular current in this tradition is to blame economics for being theory-driven or method-driven or driven by whatever else but the world or empirical evidence or observation. Economics thus does not care about the real world – indeed, being so deeply shaped by its favourite theories and methods disconnects economics from the world. The alternative to this gloomy scenario is for a discipline to be evidence-driven or world-oriented or to be guided by some such proper scientific ethos. Being theory-driven involves stressing scientific virtues such as simplicity, coherence, convenience, tractability, formal rigor, theoretical elegance, and so on. Being observation-driven or world-oriented means emphasizing the importance of truth, complexity, empirical testing, practical relevance, and so on. Sometimes the former is characterized as a deductive approach, in contrast to the latter inductive approach. Diagnosis of the failures of economics and advice for how to do better economics is often put in such dichotomous terms. This popular way of framing the issues and debates is all too simplistic and outright distortive....

The cultural and epistemic status of science is under attack. Social and cultural studies of science are widely perceived to offer evidence and arguments in support of an anti-science campaign. They portray science as a mundane social endeavour, akin to religion and politics, with no privileged access to truthful information about the real world. Science is under threat and needs defence. Old philosophical legitimations have lost their bite. Alarm bells ring, new troops have to be mobilised. Call economics, the good old friend of the status quo depicting it as a generally beneficial social order while accommodating a rather mundane picture of human behaviour. In contrast to constructivist and relativist sociology of scientific knowledge, economic accounts of science seek to provide a rigorous defence of the cultural and epistemic legitimacy of science by accommodating plausible elements in the sociological accounts and by embedding them in invisible-hand arguments about the functioning of some market-like structure within science. Viewed through economic spectacles, science re-emerges from the ashes as stronger and more beautiful than ever. A spectator raises an innocent question: is economics itself strong and beautiful enough to offer such alleviating services? In order to examine the emerging issue of disciplinary credibility, we need to look at economics itself more closely, and we need to address traditional issues in the philosophy of science as well as less traditional issues of reflexivity. We will see that the above caricature concerning the role of economics in the science wars calls for heavy qualifications if not wholesale rejection

Realism and Russia? Realism is a notion with multiple meanings, so options abound as to how the two might connect with one another. An old Russian proverb conveys a realist message about social properties: "An individual in Rssia was composed of three parts: a body, a soul, and a passport." (Ruben 1985, 83) Having a passport signals the possession of a complex set of social properties, and if these are taken to be real in some appropriate sense, one is inplying a realist view in social ontology. In another sense of the word, realism is a live issues in the study of international relations. Political realism considers the behaviour of states by emphasizing the importance of national interests and the drive for power on the one hand, and the suppression of moral concerns on the other (e.g. Donnelly 2000). Russian realists hold diverse views about the newly emerged unipolar global power structure and Russia's proper strategy for adjusting to this structure (e.g. Shakleyina and Bogaturov 2004). Realism is a family of viewpoints also in the arts (including painting, music and literature) and their study. Socialist realism is a version that used to be an official doctrine in Russia, gently requesting artists to optimistically represent society's march towards communism, glorifying the heroic role of the proletariat in driving the process. Socialist realism was also well known elsewhere. So much so that in the 1970s, a philosophy professor at the University of Helsinki announced to give a lecture course on "scientific realism" but on its way to the university catalogue through the university administration, the title of the course was transformed into "socialist realism". In the spirit of rectifying that old administrative mistake, the remards to follow deal with scientifit realism as a philosophy of science. The general issue to be addressed is how the social sciences relate to the social world, in both directions.

Ronald Coase has been a vigorous critic of mainstream economic theory, arguing that it is unrealistic and that a good theory is realistic. The attributes "realistic" and "unrealistic" appear in three senses at least in Coase: one related to narrow ness and breadth; another related to abstracting from particularities (and the issue of "blackboard economics"); and the third related to correspondence with the legal. This does not yet make Coase an advocate of realism. It is therefore separately argued that each of the three kinds of "realisticness" as a property of theories is consistent with realism as a theory of theories

Science is often said to aim at truth. And much of science is heavily dependent on the construction and use of theoretical models. But the notion of model has an uneasy relationship with that of truth. Not so long ago, many philosophers held the view that theoretical models are different from theories in that they are not accompanied by any ontological commitments or presumptions of truth, whereas theories are (e.g. Achinstein 1964). More recently, some have thought that models are not truth-valued at all, but truth-valued claims can be made about similarity relations between models and real systems (e.g. Giere 1988). Others suggest that models are instruments that can be used for attaining truths, for example that models are false means for true theories (e.g. Wimsatt 2007). At the same time, philosophers and others keep talking about models being ‘correct’ and ‘incorrect’, ‘accurate’ and ‘inaccurate’ or getting facts ‘right’ or ‘wrong’. Among practicing scientists, one can find both the notion of a ‘true model’ and the idea that ‘it is in the nature of models that they are false’. There seems to be enough variety of views and confusion around them to invite a little bit of further investigation (see also Mäki 1992, 1994, 2004, 2009a,b,c).

In everyday usage, ‘realism’ is often used as a name for a practically or epistemically low-ambition attitude, while ‘idealism’ is often taken to denote a highambition—if not utopian—attitude. In philosophcal usage, mostly, it is the other way around: those who are called realists tend to claim more than their opponents—they are the philosophical optimists. Within philosophy itself, ‘realism’ adopts a variety of interrelated and contested meanings. It is used as the name for doctrines about issues such as perceptual access to reality, the existence of universals, the goals and achievements of science, the nature of truth, the objectivity of morality, and many other things. Given this variety, no single shorthand definition of the term ‘realism’ can be provided. One manifestation of this variety is that the opponents of realism about these issues are not called uniformly by a single label (other than the rather uninformative ‘antirealism’): the labels used include idealism, phenomenalism, instrumentalism, conventionalism, fictionalism, noncognitivism, constructivism, relativism, irrealism, and others. Sometimes such labels vary from one dispute or domain to another even when similar ideas are being expressed. Sometimes they are used to make claims that are specific to the domain at hand and distinct from other antirealist theses. In what follows a brief tour will be taken along some of the representative philosophical highways and lanes, from ontology through semantics to epistemology. Along the way, realism will be confronted with some of its various opponents and internal conflicts. The philosophical landscape in the neighborhood of realism is nowadays much broader than it used to be: in a typical older encyclopedia, ‘realism’ was taken to name doctrines about universals or about perception, or both, to the exclusion of much of its present coverage, and many of the current opponents were missing from view altogether.

Contemporary philosophers of science argue that models are a major vehicle of scientific knowledge. This applies to highly theoretical inquiry as well as to experimental or otherwise observational research, in both the natural and the social sciences. Making this claim is not yet very illuminating, given that there is a large variety of different kinds of model, and a number of ways in which they function in the service of science. The ambiguity of the term ‘model’ and the multiplicity of kinds of model are illustrated by Pierre Duhem’s famous comparison of the mind of a continental physicist to that of an Englishman: the former strives for ‘theories’ that are formulated in ‘the clear and precise language of geometry and algebra’ and consist of abstract and idealized notions and formulae, while the latter insists on having mechanical ‘models’ that satisfy ‘his need to imagine concrete, material, visible, and tangible things’ that are familiar to ordinary experience. While the French or German physicist deals with a formalized theory in his account of electrostasis, the English account is in terms of ‘strings which move around pulleys, which roll around drums, which go through pearl beads, which carry weights; and tubes which pump water while others swell and contract; toothed wheels which are geared to one another and engage hooks. We thought we were entering the tranquil and neatly ordered abode of reason, but we find ourselves in a factory’ (Duhem 1954, pp. 70–1). Models in this sense—iconic models —employ analogies to visualize the mechanisms depicted, while formalized theories supposedly lack this property. On the other hand, it is nowadays customary to use the term ‘model’ also for such formal systems of equations, conspicuously so in the social sciences—and, much of the time, such formal systems are used for representing causal mechanisms. In relation to such a formal system, ‘model’ is also used for its various interpretations, or just for the interpretation that makes it true. The model muddle needs to be sorted out.

It is argued that rather than a well defined F-Twist, Milton Friedman’s “Methodology of positive economics” offers an F-Mix: a pool of ambiguous and inconsistent ingredients that can be used for putting together a number of different methodological positions. This concerns issues such as the very concept of being unrealistic, the goal of predictive tests, the as-if formulation of theories, explanatory unification, social construction, and more. Both friends and foes of Friedman’s essay have ignored its open-ended unclarities. Their removal may help create new common ground for more focused debate in economics. Here I show how F53 can be reread/rewritten as a socially constructivist fallibilist, and realist statement – in contrast to the received instrumentalist interpretation.

Explanatory unification—the urge to “explain much by little”—serves as an ideal of theorizing not only in natural sciences but also in the social sciences, most notably in economics. The ideal is occasionally challenged by appealing to the complexity and diversity of social systems and processes in space and time. This article proposes to accommodate such doubts by making a distinction between two kinds of unification and suggesting that while such doubts may be justified in regard to mere derivational unification (which serves as a formal constraint on theories), it is less justified in the case of ontological unification (which is a result of factual discovery of the actual degree of underlying unity in the world)

Economics is a controversial scientific discipline. One of the traditional issues that has kept economists and their critics busy is about whether economic theories and models are about anything real at all. The critics have argued that economic models are based on assumptions that are so utterly unrealistic that those models become purely fictional and have nothing informative to say about the real world. Many also claim that an antirealist instrumentalism (allegedly outlined by Milton Friedman in 1953) justifying such unrealistic models has become established as the semi-official practitioners' philosophy of conventional economics. Others argue that what is the case in the economy and the way economics relates to it are socially constructed such that there is no economics-independent way the world worls or truths about it. On both of these pictures, realism would seem to have little do with economics. These pictures are too simplistic. There is more realism in and about economics than first would appear. To see this requires not just looking mere closely, but also adjusting one's conception of scientific realism. It also requires taking a critical stance on much of what economicsts themselves and other commentators have claimed. Yet, historically, there is much wisdom available in the philosophical self-image of the discipline.

Milton Friedman's 1953 essay 'The methodology of positive economics' remains the most cited, influential, and controversial piece of methodological writing in twentieth-century economics. Since its appearance, the essay has shaped the image of economics as a scientific discipline, both within and outside of the academy. At the same time, there has been an ongoing controversy over the proper interpretation and normative evaluation of the essay. Perceptions have been sharply divided, with some viewing economics as a scientific success thanks to its adherence to Friedman's principles, others taking it as a failure for the same reason. In this book, a team of world-renowned experts in the methodology of economics cast new light on Friedman's methodological arguments and practices from a variety of perspectives. It provides the 21st century reader with an invaluable assessment of the impact and contemporary significance of Friedman's seminal work.