Innovation and finance: a stock flow consistent analysis of great surges of development

The present work aims at contributing to the recent stream of literature which attempts to link the Neo-Schumpeterian/Evolutionary and the Post-Keynesian theory. The paper adopts the Post-Keynesian Stock Flow Consistent modeling approach to analyze the process of development triggered by the emergence of a new-innovative productive sector into the economic system. The model depicts a multi-sectorial economy composed of consumption and capital goods industries, a banking sector and two households sectors: capitalists and wage earners. Furthermore, it provides an explicit representation of the stock market. In line with the Schumpeterian tradition, our work highlights the cyclical nature of the development process and stresses the relevance of the finance-innovation nexus, analyzing the feed-back effects between the real and financial sides of the economic system. In this way we aim at setting the basis of a comprehensive and coherent framework to study the relationship between technological change, demand and finance along the structural change process triggered by technological innovation.     

Decision neuroscience and consumer decision making

This article proposes that neuroscience can shape future theory and models in consumer decision making and suggests ways that neuroscience methods can be used in decision-making research. The article argues that neuroscience facilitates better theory development and empirical testing by considering the physiological context and the role of constructs such as hunger, stress, and social influence on consumer choice and preferences. Neuroscience can also provide new explanations for different sources of heterogeneity within and across populations, suggest novel hypotheses with respect to choices and underlying mechanisms that accord with an understanding of biology, and allow for the use of neural data to make better predictions about consumer behavior. The article suggests that despite some challenges associated with incorporating neuroscience into research on consumer decision processes, the use of neuroscience paradigms will produce a deeper understanding of decision making that can lead to the development of more effective decision aids and interventions.     

Efficient minimum distance estimation with multiple rates of convergence

This paper extends the asymptotic theory of GMM inference to allow sample counterparts of the estimating equations to converge at (multiple) rates, different from the usual square-root of the sample size. In this setting, we provide consistent estimation of the structural parameters. In addition, we define a convenient rotation in the parameter space (or reparametrization) to disentangle the different rates of convergence. More precisely, we identify special linear combinations of the structural parameters associated with a specific rate of convergence. Finally, we demonstrate the validity of usual inference procedures, like the overidentification test and Wald test, with standard formulas. It is important to stress that both estimation and testing work without requiring the knowledge of the various rates. However, the assessment of these rates is crucial for (asymptotic) power considerations.Possible applications include econometric problems with two dimensions of asymptotics, due to trimming, tail estimation, infill asymptotic, social interactions, kernel smoothing or any kind of regularization.     

Financial Market Imperfections and the Impact of Exchange Rate Movements on Exports*

This paper analyzes empirically the role of financial market imperfections in the way countries’ exports react to a currency depreciation. Using quarterly data for 27 developed and developing countries over the period 1990–2005, we find that the impact of a depreciation on exports will be less positive—or even negative—for a country if: (i) firms borrow in foreign currency; (ii) they are credit constrained; (iii) they are specialized in industries that require more external capital; (iv) the magnitude of depreciation or devaluation is large. This last result emphasizes the existence of a nonlinear relationship between an exchange rate depreciation and the reaction of a country's exports when financial imperfections are observed. This offers a new explanation for the consequences of recent currency crises in middle‐income countries.     

The Regulation of Predatory Firms

This article investigates the issue of predation by a regulated firm. Since it has private information, a regulated firm obtains higher rents in case of successful predation: the fewer the competitors, the higher the marginal social value of the regulated firm's effort and the higher the informational rents. Both principals (the investor of a "target" firm and the regulator) have to provide some incentives to prevent predation: the investor has to reduce the sensitivity of refinancing to predation; the regulator has to lower the gain of successful predation. It is shown that there is a trade-off between the power of the regulatory incentive scheme and the regulated firm's incentives to prey. In addition, as deterring predation is costly, the investor and the regulator compete when offering contracts: each wants to free-ride on the other. Hence, predation may occur in equilibrium although it makes both principals worse off.     

Identifying individual differences: An algorithm with application to Phineas Gage

In many research contexts it is useful to group experimental subjects into behavioral “types.” Usually, this is done by pre-specifying a set of candidate decision-making heuristics and assigning each subject to a heuristic in that set. Such approaches might perform poorly when applied to subjects with prefrontal cortex damage, because it can be hard to know what cognitive heuristics such subjects might use. We suggest that the Houser, Keane and McCabe (HKM) robust classification algorithm can be a useful tool in these cases. An important advantage of this classification approach is that it does not require one to specify either the nature or number of subjects' heuristics in advance. Rather, both the number and nature of the heuristics are discerned directly from the data. To illustrate the HKM approach, we draw inferences about heuristics used by subjects in the well-known gambling task [Bechara, A., Damasio, A.R., Damasio, H., Anderson, S., 1994. Insensitivity to future consequences following damage to human prefrontal cortex. Cognition 50, 7–12].     

Customs Union and Gains from Trade Under Imperfect Competition: Variation of a Kemp-Wan Theme

In a world where firms are oligopolists, is it possible to create a customs union that raises the welfare of member countries without hurting non-member countries? We give sufficient conditions for an affirmative answer.     

The Regulation of Predatory Firms

This article investigates the issue ofpredation by a regulated firm. Since it has private information, a regulated firm obtains higher rents in case of successful predation: the fewer the competitors, the higher the marginal social value of the regulated firm's effort and the higher the informational rents. Both principals (the investor of a "target" firm and the regulator) have to provide some incentives to prevent predation: the investor has to reduce the sensitivity of refinancing to predation; the regulator has to lower the gain of successful predation. It is shown that there is a trade-off between the power of the regulatory incentive scheme and the regulated firm's incentives to prey. In addition, as deterring predation is costly, the investor and the regulator compete when offering contracts: each wants to free-ride on the other. Hence, predation may occur in equilibrium although it makes both principals worse off.     

Risk aversion and framing effects

We present a new experimental evidence of how framing affects decisions in the context of a lottery choice experiment for measuring risk aversion. We investigate framing effects by replicating the Holt and Laury’s (Am. Econ. Rev. 92:1644–1655, 2002) procedure for measuring risk aversion under various frames. We first examine treatments where participants are confronted with the 10 decisions to be made either simultaneously or sequentially. The second treatment variable is the order of appearance of the ten lottery pairs. Probabilities of winning are ranked either in increasing, decreasing, or in random order. Lastly, payoffs were increased by a factor of ten in additional treatments. The rate of inconsistencies was significantly higher in sequential than in simultaneous treatment, in increasing and random than in decreasing treatment. Both experience and salient incentives induce a dramatic decrease in inconsistent behaviors. On the other hand, risk aversion was significantly higher in sequential than in simultaneous treatment, in decreasing and random than in increasing treatment, in high than in low payoff condition. These findings suggest that subjects use available information which has no value for normative theories, like throwing a glance at the whole connected set of pairwise choices before making each decision in a connected set of lottery pairs.     

Risk Aversion and the Value of Risk to Life

The standard literature on the value of life relies on Yaari’s (1965) model, which includes an implicit assumption of risk neutrality with respect to life duration. To overpass this limitation, we extend the theory to a simple variety of preferences that are not necessarily additively separable. The enlargement we propose is relevant for the evaluation of life‐saving programs: current practice, we estimate, puts too little weight on mortality risk reduction of the young. Our correction exceeds in magnitude that introduced by the switch from the notion of number of lives saved to the notion of years of life saved.