Does Empirical Embeddedness Matter? Methodological Issues on Agent-Based Models for Analytical Social Science

The paper deals with the use of empirical data in social science agent-based models. Agent-based models are too often viewed just as highly abstract thought experiments conducted in artificial worlds, in which the purpose is to generate and not to test theoretical hypotheses in an empirical way. On the contrary, they should be viewed as models that need to be embedded into empirical data both to allow the calibration and the validation of their findings. As a consequence, the search for strategies to find and extract data from reality, and integrate agent-based models with other traditional empirical social science methods, such as qualitative, quantitative, experimental and participatory methods, becomes a fundamental step of the modelling process. The paper argues that the characteristics of the empirical target matter. According to characteristics of the target, ABMs can be differentiated into case-based models, typifications and theoretical abstractions. These differences pose different challenges for empirical data gathering, and imply the use of different validation strategies.Agent-Based Models, Empirical Calibration and Validation, Taxanomy of Models

Does Empirical Embeddedness Matter? Methodological Issues on Agent-Based Models for Analytical Social Science

The paper deals with the use of empirical data in social science agent-based models. Agent-based models are too often viewed just as highly abstract thought experiments conducted in artificial worlds, in which the purpose is to generate and not to test theoretical hypotheses in an empirical way. On the contrary, they should be viewed as models that need to be embedded into empirical data both to allow the calibration and the validation of their findings. As a consequence, the search for strategies to find and extract data from reality, and integrate agent-based models with other traditional empirical social science methods, such as qualitative, quantitative, experimental and participatory methods, becomes a fundamental step of the modelling process. The paper argues that the characteristics of the empirical target matter. According to characteristics of the target, ABMs can be differentiated into case-based models, typifications and theoretical abstractions. These differences pose different challenges for empirical data gathering, and imply the use of different validation strategies

Does Empirical Embeddedness Matter? : Methodological Issues on Agent-Based Models for Analytical Social Science

The paper deals with the use of empirical data in social science agent-based models. Agent-based models are too often viewed just as highly abstract thought experiments conducted in artificial worlds, in which the purpose is to generate and not to test theoretical hypotheses in an empirical way. On the contrary, they should be viewed as models that need to be embedded into empirical data both to allow the calibration and the validation of their findings. As a consequence, the search for strategies to find and extract data from reality, and integrate agent-based models with other traditional empirical social science methods, such as qualitative, quantitative, experimental and participatory methods, becomes a fundamental step of the modelling process. The paper argues that the characteristics of the empirical target matter. According to characteristics of the target, ABMs can be differentiated into case-based models, typifications and theoretical abstractions. These differences pose different challenges for empirical data gathering, and imply the use of different validation strategies

What Is the 'Social' in Behavioural Economics? The Methodological Underpinnings of Governance by Nudges

Behavioural economics builds on psychology rather than on sociology, and on cognitive science rather than the science of culture. The same is true for new behavioural scholarship in the legal discipline, whether this is referred to as 'behavioural law and economics' or 'law and the behavioural sciences'. The result of a one-sided definition of a more realist research agenda in legal scholarship is an impoverished understanding of the 'social'. In Thaler and Sunstein's famous concept of nudging, social conformity appears as a property of the individual, which can be instrumentalized by social nudges. More generally, the cognitive strand of behavioural economics lends itself to strategies of regulatory 'debiasing', which suggests that it is possible to get down to pure preferences that are free from any distortions. While this approach neglects the endogeneity, or social contingency, of individual preferences, the social strand of behavioural economics is explicitly concerned with the dynamics of social interaction, or the effects of social interdependence. However, both strands of behavioural economics are still higher on methodological individualism, naturalism or positivism and lower on institutionalism, culturalism or constructivism than a genuinely sociological approach. More specifically, their understanding of the 'social' does not sufficiently account for the social embeddedness of both rational and irrational economic action. What is more, behavioural economics also lacks the means to reflect on the link between science and politics, which includes the question of why different models of economic man are attractive at different points in time. The conceptual move from rational to behavioural economic man bears distinctive policy implications, which are in line with the transformation of welfare capitalism towards 'less state' and 'more market'. While the overall direction of this project gets blurred in Thaler and Sunstein's branding of 'libertarian paternalism', it is evident in the adaptation of consumer policies, which proceeds under the imperative of market-conformity. Accordingly, a strategy of nudging does not put into question the wider institutional context but offers a technical solution to what is defined as a problem of individual behavioural rigidities and cognitive biases in the market environment

Alternative Approaches to the Empirical Validation of Agent-Based Models

This paper draws on the metaphor of a spectrum of models ranging from the most theory-driven to the most evidence-driven. The issue of concern is the practice and criteria that will be appro- priate to validation of different models. In order to address this concern, two modelling approaches are investigated in some detailed – one from each end of our metaphorical spectrum. Windrum et al. (2007) (http://jasss.soc.surrey.ac.uk/10/2/8.html) claimed strong similarities between agent based social simulation and conventional social science – specifically econometric – approaches to empirical modelling and on that basis considered how econometric validation techniques might be used in empirical social simulations more broadly. An alternative is the approach of the French school of \'companion modelling\' associated with Bousquet, Barreteau, Le Page and others which engages stakeholders in the modelling and validation process. The conventional approach is con- strained by prior theory and the French school approach by evidence. In this sense they are at opposite ends of the theory-evidence spectrum. The problems for validation identified by Windrum et al. are shown to be irrelevant to companion modelling which readily incorporate complexity due to realistically descriptive specifications of individual behaviour and social interaction. The result combines the precision of formal approaches with the richness of narrative scenarios. Companion modelling is therefore found to be practicable and to achieve what is claimed for it and this alone is a key difference from conventional social science including agent based computational economics.Social Simulation, Validation, Companion Modelling, Data Generating Mechanisms, Complexity

Agent-based Computational Economics: a Methodological Appraisal

This paper is an overview of "Agent-based Computational Economics (ACE)", an emerging approach to the study of decentralized market economies, in methodological perspective. It summarizes similarities and differences with respect to conventional economic models, outlines the unique methodological characteristics of this approach, and discusses its implications for economic methodology as a whole. While ACE rejoins the reflection on the unintended social consequences of purposeful individual action which is constitutive of economics as a discipline, the paper shows that it complements state-of the-art research in experimental and behavioral economics. In particular, the methods and techniques of ACE have reinforced the laboratory finding that fundamental economic results rely less on rational choice theory than is usually assumed, and have provided insight into the importance of market structures and rules in addition to individual choice. In addition, ACE has enlarged the range of inter-individual interactions that are of interest for economists. In this perspective, ACE provides the economist‘s toolbox with valuable supplements to existing economic techniques rather than proposing a radical alternative. Despite some open methodological questions, it has potential for better integration into economics in the future.Agent-based Computational Economics, Economic Methodology, Experimental Economics.

Introduction to \u3cem\u3eThe Economics of Social Institutions\u3c/em\u3e

This volume includes thirty-six important contributions to the economics of social institutions by leading figures in the history of the field. Its nine Parts are: Early Contributions, Methodological and Conceptual Issues, Old Institutionalism, New Institutionalism, Social Costs, Growth and Development, Institutions and Change, Institutions and Organizations, and The Third Sphere of the Economy and Institutions. This set of topics provides a comprehensive review of the origins and development of the economics of social institutions. It addresses the main theoretical and policy concerns that have occupied contributors to the approach. The economics of social institutions has a been well-established research program for over a century, and continues to evolve and develop new areas of investigation. This collection provides researchers, scholars, and interested students and extensive review of the leading contributions to the subject. It can be used to advance future thinking about the economics of social institutions and as a key resource for university teaching and education

How change agents and social capital influence the adoption of innovations among small farmers: Evidence from social networks in rural Bolivia

"This paper presents results from a study that identified patterns of social interaction among small farmers in three agricultural subsectors in Bolivia—fish culture, peanut production, and quinoa production—and analyzed how social interaction influences farmers' behavior toward the adoption of pro-poor innovations. Twelve microregions were identified, four in each subsector, setting the terrain for an analysis of parts of social networks that deal with the diffusion of specific sets of innovations. Three hundred sixty farmers involved in theses networks as well as 60 change agents and other actors promoting directly or indirectly the diffusion of innovations were interviewed about the interactions they maintain with other agents in the network and the sociodemographic characteristics that influence their adoption behavior. The information derived from this data collection was used to test a wide range of hypotheses on the impact that the embeddedness of farmers in social networks has on the intensity with which they adopt innovations. Evidence provided by the study suggests that persuasion, social influence, and competition are significant influences in the decisions of farmers in poor rural regions in Bolivia to adopt innovations. The results of this study are meant to attract the attention of policymakers and practitioners who are interested in the design and implementation of projects and programs fostering agricultural innovation and who may want to take into account the effects of social interaction and social capital. Meanwhile, scholars of the diffusion of innovations may find evidence to further embrace the complexity and interdependence of social interactions in their models and approaches." from Author's AbstractSocial networks, Agricultural innovation, Change agent, Social capital,

Information Cost, Learning, and Trust Lessons from Co-operation and Higher-order Capabilities Amongst Geographically Proximate Firms

In this short paper, I put forward an argument about trust based upon an information cost perspective. I argue that, in different contexts, different origins of trust come to dominate. This is so, because different possible origins of trust have a different information cost, and different contexts have different information availability. Agents learn about this, and place their trust accordingly. I provide an empirical example, and list some traits of information availability between geographically proximate firms. The information cost argument explains why a particular way of trusting is prevalent in some proximate ‘communities’ of agents.Trust; governance; information cost; organisational learning; industrial districts