Attachment orientations and entrepreneurship

This research presents a theoretical model and examines it empirically to associate attachment orientations with various types of entrepreneurs. The results show clear evidence that attachment orientations not only predict an adult’s tendency to become an entrepreneur but also the type of entrepreneur he will become. Specifically, the results show that attachment anxiety is the dimension that is the most responsible for the variability of becoming an entrepreneur, while anxiety and avoidant dimensions predict his characteristics and attitudes as an entrepreneur. This paper makes five important contributions to the research of both attachment theory and entrepreneurship. First, it adds to the theoretical understanding of the psychology of entrepreneurs. Second, the attachment theory enables us to extend our understanding beyond the predictions of personality traits regarding entrepreneurial intentions in order to further predict the type of entrepreneur he will turn out to be. Third, it stresses the role of early childhood events regarding the prediction of future entrepreneurial orientation. Fourth, it uses a unique data set of real young entrepreneurs in a single industry homogenous design in Israel, which is known worldwide as a startup nation. Fifth, it focuses on the opportunity validation stage (rather than the opportunity identification of the resource allocation stages), which is often neglected in entrepreneur personality research.     

Learning by replicator and best-response: the importance of being indifferent

This paper compares two learning processes, namely those generated by replicator and best-response dynamics, from the point of view of the asymptotics of play. We base our study on the intersection of the basins of attraction of locally stable pure Nash equilibria for replicator and best-response dynamics. Local stability implies that the basin of attraction has positive measure but there are examples where the intersection of the basin of attraction for replicator and best-response dynamics is arbitrarily small. We provide conditions, involving the existence of an unstable interior Nash equilibrium, for the basins of attraction of any locally stable pure Nash equilibrium under replicator and best-response dynamics to intersect in a set of positive measure. Hence, for any choice of initial conditions in sets of positive measure, if a pure Nash equilibrium is locally stable, the outcome of learning under either procedure coincides. We provide examples illustrating the above, including some for which the basins of attraction exactly coincide for both learning dynamics. We explore the role that indifference sets play in the coincidence of the basins of attraction of the stable Nash equilibria.     

Going up and down: rethinking the empirics of growth in the developing and newly industrialized world

Growth dynamics are remarkably heterogeneous, in particular when one focuses on developing countries. Economic miracles and failures are embedded within extended phases of either growth or decline. In this paper, we analyze the growth patterns of developing and newly industrialized countries on the basis of structural breaks and growth regimes experienced. Emphasizing the presence of broken trends, we focus on the difference between expansionary and recessionary regimes of medium length, and we show that models of takeoffs and exponential growth are inadequate to characterize the majority of observed growth dynamics. Then, we move to a systematic classification of different patterns and we isolate an additional stylized fact characterizing the process of growth and development. In particular, our results show that expansionary regimes are associated with convergence and positive correlation between growth and (short run) volatility. By contrast, in recessionary regimes, poorer countries face deeper failures and a negative correlation between growth and volatility is found, indicating that output fluctuates less around the trend during strong rather than mild recessions. Catching-up phenomena are infrequent but more likely to occur across categories of growth patterns rather than within. Finally, we discover that regimes of growth and recession show similar average length (about 16 years). Although recessions are, on average, remarkably pronounced (14% loss of GDP per capita), the magnitude of growth is much larger during expansions. In sum, our results underline that stable positive growth is hardly achieved in developing countries, which rather alternate long phases of expansions with equally long phases of recession. Moreover, cross-sectional empirical regularities are found to differ between regimes of positive and negative growth.     

The biological hypothesis in cliometrics of growth: a methodological critique of Fogel (post 1982) and Ashraf & Galor (2013)

The resort to biological “analogies”, “metaphors” and “concepts” is an important aspect of the history of the relationships between economics and biology and has long been greatly controversial. This controversy continues today in the most recent work of three cliometricians, i.e. Fogel (post 1982) and Ashraf and Galor (2013). We focus on the theories of historical growth relying on biological explanations which have been formulated by these economists, from the specific angle of biological reductionism. We propose a methodological critique of their use of biological variables as determinants of the historical dynamics of economic growth. Based upon the transposition to the field of economics of Ernst Mayr’s distinction between functional and evolutionary biology and his definitions of reductionism, we argue that despite some similarities, the questions raised by Fogel’s and Ashraf & Galor’s theories are of distinct nature. Nonetheless, we stress the need for a careful examination of the biological mechanisms supporting these researches.     

Market failure vs. system failure as a rationale for economic policy? A critique from an evolutionary perspective

This paper reconsiders the explanation of economic policy from an evolutionary economics perspective. It contrasts the neoclassical equilibrium notions of market and government failure with the dominant evolutionary neo-Schumpeterian and Austrian-Hayekian perceptions. Based on this comparison, the paper criticizes the fact that neoclassical reasoning still prevails in non-equilibrium evolutionary economics when economic policy issues are examined. This is more than surprising, since proponents of evolutionary economics usually view their approach as incompatible with its neoclassical counterpart. In addition, it is shown that this “fallacy of failure thinking” even finds its continuation in the alternative concept of “system failure” with which some evolutionary economists try to explain and legitimate policy interventions in local, regional or national innovation systems. The paper argues that in order to prevent the otherwise fruitful and more realistic evolutionary approach from undermining its own criticism of neoclassical economics and to create a consistent as well as objective evolutionary policy framework, it is necessary to eliminate the equilibrium spirit. Finally, the paper delivers an alternative evolutionary explanation of economic policy which is able to overcome the theory-immanent contradiction of the hitherto evolutionary view on this subject.     

The dynamics of regional learning paradigms and trajectories

While the literature is rich with studies on the identification of alternative types of learning processes that might exist in the real world, the identification of the determinants of the structural changes in regional learning processes is still an underexplored research field in regional innovation theories. This paper proposes the concept of regional learning paradigms and trajectories to study how alternative and more advanced learning processes arise in a region, and highlights the evolutionary path-creation strategies enabling a paradigmatic jump. By taking into consideration also learning modes typical of peripheral or declining industrial areas, generally left aside in previous theories, this new conceptual approach allows us to understand how more complex learning and innovation processes can emerge in all types of regions. From these reflections, spontaneous processes or policy recommendations to catch-up in the innovation ladder are highlighted for each type of region.     

The Swedish industrial support program of the 1970s revisited

The economy-wide dynamic cost-benefit study of the Swedish industrial subsidy program 1976 through 1984 (Carlsson et al. Res Policy 10(43):336–354 1981; Carlsson J Ind Econ 32(1):9–14, 1983a, b) is revisited in light of later economic development. Since the Swedish Micro to Macro model (Eliasson Am Econ Rev 67(1):277–281 1977a, 2017a) was used for quantification, this article is both (1) a study on the calibration of high dimensional micro-based and nonlinear economic systems models, and (2) a post inquiry into the empirical credibility of the cost-benefit calculations performed. We find that the Micro-based Macro model represents the minimum of detailed resolution necessary for the dynamic cost benefit calculations of the micro interventions in the Swedish economy we study. Even though the increased model complexity meant significant parameter calibration difficulties, a thoroughly researched model specification with exactly defined policy interfaces (with the markets of the economy) should take priority over parameter estimation problems, and always be preferred to estimating the parameters of a wrongly specified model perfectly. The oil price shocks of the 1970s caused radical market disorder in the western economies, bankrupting some 35% of Swedish manufacturing and threatening the Swedish government with massive unemployment. We confirm the earlier results that the government choice of a radical employment rescue policy came at enormous social cost in the form of economic stagnation, and still did not prevent the unemployment of the rest of OECD Europe from hitting Sweden a decade later, and persisting well into the next millennium. According to an alternative simulated policy scenario on the model, had the subsidies been replaced with a general lowering of the payroll tax of the same magnitude and the consequent increase in unemployment taken immediately during 1976–1980, production structures would have been radically and rapidly reorganized, normal employment would have been rapidly restored, and neither the stagnation nor the radical increase in unemployment of the early 1990s would have occurred. In retrospect we see no reason to worry about the empirical credibility of this computed dynamic trade off between Keynesian demand and Schumpeterian supply effects (caused by resource reallocations and endogenous structural change due to the price change), as we did then. We conclude with certainty that this trade-off would not even have been discovered as a possibility had we used a traditional model that did not embody these micro-macro linkages.     

Relating business model innovations and innovation cascades: the case of biotechnology

This article conceptualizes innovation as a process, where the scientific and industrial application of technological knowledge nurtures new routines and institutions, in order to relate changing business model innovations to innovation cascades. Innovation in science-based, high-tech sectors is changing its tempo, from the evolutionary pace of incremental novelties punctuated by occasional radical novelties, to innovation cascades. These cascades involve a long series of interlinked radical innovations, which can be traced through various scientific and technological indicators like patents and publications. Innovation cascades are relevant to industry, because they make the future less predictable. They are particularly interesting because these changes also enable the testing an abundance of new business models. Innovation cascades have a major impact on the number and sustainability of business models and on strategy. Business model innovations are visible not only in the existing organizations that undergo change, but also new organizational models appear. The case of biotechnology after the 1980s is used to illustrate our conceptualization.     

General purpose technologies in theory,application and controversy: a review

Distinguishing characteristics of General Purpose Technologies (GPTs) are identified and definitions discussed. Our definition includes multipurpose and single-purpose technologies, defining them according to their micro-technological characteristics, not their macro-economic effects. Identifying technologies as GPTs requires recognizing their evolutionary nature, and accepting possible uncertainties concerning marginal cases. Many of the existing ‘tests’ of whether particular technologies are GPTs are based on misunderstandings either of what GPT theory predicts or what such tests can establish. The development of formal GPT theories is outlined, showing that only the early theories predicted the inevitability of GPT-induced showdown and surges. More recent GPT theories, designed to model the characteristics of GPTs, do not imply the necessity of specific macro effects. We show that GPTs can rejuvenate the growth process without causing slowdowns or surges. We conclude that existing criticisms of GPT theory can be resolved and that the concept remains useful for economic theory.     

Size and information revelation in securities trading

We examine differences in information content between order submission sizes and trade sizes by U.S. equity traders. Increasing (decreasing) order submission (trade) size is reflective of information. The result suggests that better-informed traders want to trade in a large size, but that they engage in stealth trading practices or break larger orders into smaller sizes in order to conceal information. While prior studies tend to narrowly focus on trade executions at the market-centre level, our findings indicate that order submission size varies significantly from trade size and that both sizes are informative about future prices, albeit in an inverse manner.