We claim that the process of theoretical model refinement in economics is best characterised as robustness analysis: the systematic examination of the robustness of modelling results with respect to particular modelling assumptions. We argue that this practise has epistemic value by extending William Wimsatt's account of robustness analysis as triangulation via independent means of determination. For economists robustness analysis is a crucial methodological strategy because their models are often based on idealisations and abstractions, and it is usually difficult to tell (...) which idealisations are truly harmful. (shrink)

The hybridization of two or more energy sources into a single power station is one of the widely discussed solutions to address the demand and supply havoc generated by renewable production, heating power, and cooling power) and its energy storage issues. Hybrid energy sources work based on the complementary existence of renewable sources. The combined cooling, heating, and power is one of the significant systems and shows a profit from its low environmental impact, high energy efficiency, low economic investment, (...) and sustainability in the industry. This paper presents an economic model of a microgrid system containing the CCHP system and energy storage considering the energy coupling and conversion characteristics, the effective characteristics of each microsource, and energy storage unit is proposed. The random forest regression model was optimized by the gravitational search algorithm. The test results show that the GSA-RFR model improves prediction accuracy and reduces the generalization error. The detail of the MG network and the energy storage architecture connected to the other renewable energy sources is discussed. The mathematical formulation of energy coupling and energy flow of the MG network including wind turbines, photovoltaic, CCHP system, fuel cell, and energy storage devices are presented. The testing system has been analysed under load peak cutting and valley filling of energy utilization index, energy utilization rate, the heat pump, the natural gas consumption of the microgas turbine, and the energy storage unit. The energy efficiency costs were observed as 88.2% and 86.9% with heat pump and energy storage operation comparing with GSA-RFR-based operation costs as 93.2% and 93% in summer and winter season, respectively. The simulation results extended the rationality and economy of the proposed model. (shrink)

ABSTRACTThis is a critical discussion and proposed refinement of the inspiring account of the successes and failures of economic modelling sketched in Dani Rodrik’s Economics Rules. The refinements make use of a systematic framework of the structure of scientific modelling. The issues include distinguishing the discipline of economics from the behaviour and attitudes of economists as targets of normative assessment; nature and sources of success and failure in modelling; the key role of model commentary; model transparency; purposes and audiences (...) of modelling; the nature of critical assumptions; negligibility, applicability, and tractability in modelling; the possibility of generally applicable models; and economics fundamentalism. The proposed refinements submit sharper formulations for some of Rodrik’s ideas and supplement others, but they also reveal tensions and relieve some – not yet all – of these. (shrink)

Over the past two decades, academic economics has undergone a mild revolution in methodology. The language, concepts and techniques of noncooperative game theory have become central to the discipline. This book provides the reader with some basic concepts from noncooperative theory, and then goes on to explore the strengths, weaknesses, and future of the theory as a tool of economic modelling and analysis. The central theses are that noncooperative game theory has been a remarkably popular tool in economics over (...) the past decade because it allows analysts to capture essential features of dynamic competition and competition where some parties have proprietary information. The theory is weakest in providing a sense of when it - and equilibrium analysis in particular - can be applied and what to do when equilibrium analysis is inappropriate. Many of these weaknesses can be addressed by the consideration of individuals who are boundedly rational and learn imperfectly from the past. Written in a non-technical style and working by analogy, the book, first given as part of the Clarendon Lectures in Economics, is readily accessible to a broad audience and will be of interest to economists and students alike. Knowledge of game theory is not required as the concepts are developed as the book progresses. (shrink)

Are foundations of models of ambiguity-sensitive preferences too flawed to be usefully applied to economic models? Al-Najjar and Weinstein (2009) say such is indeed the case. In this paper, first, we point out that many of the key arguments by Al-Najjar and Weinstein do not apply to quite a few of the ambiguity preference models of more recent vintage, and therefore to that extent do not undermine the foundational aspects or applicability of ambiguity models in general. Second, we argue (...) the focus in that paper on Ellsberg examples is an overly narrow concern; the Ellsberg examples have their uses but they are not the best context to understand why reasonable real-world agents may find acting in an ambiguity-sensitive manner normatively or prescriptively appealing. Finally, normative considerations aside, we submit that Al-Najjar and Weinstein are unduly dismissive of the power of such preferences to provide illuminating positive analyses of economic phenomena. (shrink)

This paper examines two recent approaches to the nature and functioning of economic models: models as isolating representations and models as credible constructions. The isolationist view conceives of economic models as surrogate systems that isolate some of the causal mechanisms or tendencies of their respective target systems, while the constructionist approach treats them rather like pure constructions or fictional entities that nevertheless license different kinds of inferences. I will argue that whereas the isolationist view is still tied to (...) the representationalist understanding of models that takes the model-target dyad as the basic unit of analysis, the constructionist perspective can better accommodate the way we actually acquire knowledge through them. Using the example of Tobin’s ultra-Keynesian model I will show how many of the epistemic characteristics of modelling tend to go unrecognised if too much focus is placed on the model-target dyad. (shrink)

There continues to be significant confusion about the goals, scope, and nature of modelling practice in neuroeconomics. This article aims to dispel some such confusion by using one of the most recent critiques of neuroeconomic modelling as a foil. The article argues for two claims. First, currently, for at least some economic model of choice behaviour, the benefits derivable from neurally informing an economic model do not involve special tractability costs. Second, modelling in neuroeconomics is best understood within (...) Marr’s three-level of analysis framework and in light of a co-evolutionary research ideology. The first claim is established by elucidating the relationship between the tractability of a model, its descriptive accuracy, and its number of variables. The second claim relies on an explanation of what it can take to neurally inform an economic model of choice behaviour. 1 Introduction2 Neurally Informed Models of Choice: A Case Study2.1 A case study on risk-sensitive choice2.1.1 Target and modelling framework2.1.2 Research question and hypotheses2.1.3 Competitive models of risk-sensitive behaviour2.1.4 Model-based fMRI: from economics to brains and back2.2 Neurally informed modelling3 Tractability: When Does Size Matter?4 Neural Integration and the Co-evolutionary Research Ideology5 Conclusion. (shrink)

Critics of Rawls's A Theory of Justice frequently envision his original position as containing a human consciousness. Thus, the re- strictions Rawls introduces for this ‘individual’—the lack of particular circumstantial and personal information—is considered a potential problem. The very ways in which Rawls circumscribes the knowledge available in this position is thought to compromise the personhood of the individual there, and hence as well the conclusions reached (that is, Rawls’s two principles). This paper will argue that, on the contrary, the (...) lack of full personhood is a critical part of Rawls’s modeling strategy, and that Rawls borrowed this particular sense of modeling from eco- nomics. It is well known that Rawls worked to verse himself in economic theory, and it is difficult to overlook its use in Theory. It will be argued that it is through parallels with economic reasoning that Rawls’s original position model can be most fruitfully understood. (shrink)

Consider a firm as an organization that needs to efficiently coordinate several specialized departments in an uncertain environment. Decision making involves collective planning sessions and decentralized operational processes. In this setting this paper explores the role of economic modeling through an experimental game. Results support the idea that economic modeling favors higher performance. Economic modeling facilitates the emergence of common knowledge and the decomposition of a group decision problem into individual decision problems that are (...) meaningfully interrelated. (shrink)

The concept of social entrepreneurship emerged as a significant factor that contributes toward public welfare and prosperity. Recent studies showed that social entrepreneurship influences the economic growth and sustainability of the state. Therefore, the underlying aim of this study was to investigate the impact of social entrepreneurship on sustainable economic growth and value creation. This study also undertook to observe the mediating role of innovation in the relationship between social entrepreneurship and sustainable economic growth and between social (...) entrepreneurship and value creation. A questionnaire technique was adopted to obtain data from 343 tour operators in China. The Smart-PLS software was used to analyze the data through the aid of a structural equation modelling (SEM) technique. The results revealed that social entrepreneurship has an effect on sustainable economic growth and value creation. The results also demonstrated that innovation has an effect on sustainable economic growth and value creation. Moreover, it was also observed that innovation mediated the relationship between social entrepreneurship and sustainable economic growth and between social entrepreneurship and value creation. Theoretically, this study made a valuable contribution by examining the impact of social entrepreneurship on sustainable economic growth and value creation and innovation as a mediator. In terms of practical implications, this study would certainly aid the policymakers to devise policies and strategies aim to encourage and promote social entrepreneurship. Moreover, future studies can introduce other mediating and moderating variables in order to gain a deeper insight into the phenomenon. (shrink)

We mobilise contemporary philosophy of science to further clarify observations on economic modelling made by Gilboa et al. (2023). We adopt a normative stance towards these modelling practices to identify the extent to which they are epistemically justified. Our message is simple: many of the distinctions proposed by Gilboa et al. (2023) are useful, but without the proper qualifications, too much flexibility in choosing the right interpretation risks downplaying the crucial role that empirical evidence should play in any modelling (...) endeavour. (shrink)

Economic models describe individuals in terms of underlying characteristics, such as taste for some good, sympathy level for another player, time discount rate, risk attitude, and so on. In real life, such characteristics change through experiences: taste for Mozart changes through listening to it, sympathy for another player through observing his moves, and so on. Models typically ignore change, not just for simplicity but also because it is unclear how to incorporate change. I introduce a general axiomatic framework for (...) defining, analysing and comparing rival models of change. I show that seemingly basic postulates on modelling change together have strong implications, like irrelevance of the order in which someone has his experiences and ‘linearity’ of change. This is a step towards placing the modelling of change on solid axiomatic grounds and enabling non-arbitrary incorporation of change into economic models. (shrink)

This paper analyzes the nonepistemic value judgments involved in modeling Carbon Dioxide Removal (CDR) techniques. The comparably high uncertainty of these techniques gives rise to epistemic risk when large-scale CDR is relied upon in most scenario evidence. Technological assumptions on CDR are thus entangled with nonepistemic value judgments. In particular, the reliance on large-scale CDR implies shifting risk to future generations and thereby gives a one-sided answer to questions of intergenerational justice. This bias in integrated assessment modeling is (...) problematic given the policy-advising role of integrated modeling. Modeling climate mitigation should focus on transforming these implicit value positions into explicit scenario parameters and should aim to provide scenario evidence on the complete array of value-laden mitigation strategies. -/- . (shrink)

This paper defends the viability of de-idealization strategies in economic modeling against recent criticism. De-idealization occurs when an idealized assumption of a theoretical model is replaced with a more realistic one. Recently, some scholars have raised objections against the possibility or fruitfulness of de-idealizing economic models, suggesting that economists do not employ this kind of strategy. We present a detailed case study from the theory of industrial organization, discussing three different models, two of which can be construed (...) as de-idealized versions of the first. We conclude that recent pessimism about de-idealization in economics is largely unfounded, and that de-idealization strategies are not only possible but also widely employed in economics. (shrink)

This ambitious book looks 'behind the model' to reveal how economists use formal models to generate insights into the economy. Drawing on recent work in the philosophy of science and economic methodology, the book presents a novel framework for understanding the logic of economic modeling. It also reveals the ways in which economic models can mislead rather than illuminate. Importantly, the book goes beyond purely negative critique, proposing a concrete program of methodological reform to better equip (...) economists to detect potential mismatches between their models and the targets of their inquiry. Ranging across economics, philosophy, and social science methods, and drawing on a variety of examples, including the recent financial crisis, Behind the Model will be of interest to anyone who has wondered how economics works - and why it sometimes fails so spectacularly. (shrink)

Templates travel because they offer a tractable format that can be used for model-building in a variety of domains. It is often because of this quality that a particular template is chosen. But one cannot assume that there are always templates ready to model a new phenomenon, and moreover, templates have also been designed at some point. A critical aspect of this designing process is the choice of the mathematical objects with which one hopes to capture this phenomenon. This means (...) that one has to assess which of the properties of different kinds of mathematical objects and which combinations of them are most appropriate. The selection of these objects is based on whether their properties enable the model to perform its function. This selection of mathematical objects is similar to the selection of materials in mechanical design. (shrink)

The economic crisis happening across the world over the last few years describes a range of interdependencies and interactions,and has highlighted the fundamentalf laws of neoclassical economic theory: its unedifying focus on prediction and, above all, its inability to explain how the economy really works. As such, it is increasingly recognised that economic phenomena cannot be exclusively investigated as being derived from deterministic, predictable and mechanistic dynamics. Instead, a new approach is required by which history-dependence, organic and (...) ever-evolving processes are also accounted for. As this view implies new challenges and opportunities for policy, we will focus our attention on innovative components of Complexity Theory for the study of economics and the evaluation of public policies. (shrink)

The book contains thirty original articles dealing with important aspects of theoretical as well as applied economic theory. While the principal focus is on: the computational and algorithmic nature of economic dynamics; individual as well as collective decision process and rational behavior, some contributions emphasize also the importance of classical recursion theory and constructive mathematics for dynamical systems, business cycles theories, growth theories, and others are in the area of history of thought, methodology and behavioural economics. The contributors (...) range from Nobel Laureates to the promising new generation of innovative thinkers. This volume is also a Festschrift in honour of Professor Kumaraswamy Vela Velupillai, the founder of Computable Economics, a growing field of research where important results stemming from classical recursion theory and constructive mathematics are applied to economic theory. The aim and hope is to provide new tools for economic modelling. This book will be of particular appeal to postgraduate students and scholars in one or more of the following fields: computable economics, business cycles, macroeconomics, growth theories, methodology, behavioural economics, financial economics, experimental and agent based economics. It might be also of importance to those interested on the general theme of algorithmic foundations for social sciences. (shrink)

“Hard obscurantism” is a species of the genus scholarly obscurantism. A rough intensional definition of hard obscurantism is that models and procedures become ends in themselves, dissociated from their explanatory functions. In the present article, I exemplify and criticize hard obscurantism by examining the writings of eminent economists and political scientists.

This book is unique because it is the first single-author monograph which applies Bourdieu’s theory to management studies. It takes a theory-driven approach to develop models to describe service innovation. This will give the reader a full understanding of the variety of different theoretical concepts that Bourdieu created and used and how they can be applied to the study of management and innovation. Moreover, it is also the only book that links Bourdieu’s theory to his methodological approach, providing the reader (...) with a toolkit of methods to perform business ethnographies according to Bourdieu’s approach. The book acts as a primer for anyone wanting to learn how to model an organisational system from a Bourdieusian perspective. It contains all the information someone might need to begin to go out in the field and collect data. Consequently, the people that might want to read this publication include post-graduate students looking to learn business anthropology, as well as post-doctoral and other early career researchers. (shrink)

In this paper we explore the hypothesis that constrained uses of imagination are crucial to economic modeling. We propose a theoretical framework to develop this thesis through a number of specific hypotheses that we test and refine through six new, representative case studies. Our ultimate goal is to develop a philosophical account that is practice oriented and informed by empirical evidence. To do this, we deploy an abductive reasoning strategy. We start from a robust set of hypotheses and (...) leave space for the generation of further hypotheses and theoretical claims based on the qualitative analysis of new empirical data. (shrink)

The ArgumentThe Netherlands has been a pioneering country in the development of macroeconometric modeling and its use in economic policy. The paper shows that the model was used to overcome the fragmented culture of Dutch pillarization. It proves that the specific use of modeling in the policy process is at least partly shaped by a nation's social structure. The case study relates to the outcome of a controversy within the social democratic pillar in the Netherlands in the (...) period 1930–50 as to how to plan the economic system in the context of the social developments leading up to the crisis, World War II, and the postwar recovery. (shrink)

Psychologists and economists often ask similar questions about human behaviour. This volume brings together contributions from leaders in both disciplines.The editorial introduction discusses methodological differences between the two which have until now limited the development of mutually beneficial lines of research. Psychologists have objected to what they see as an excessive formalism in economic modelling and an unrealistic degree of sophistication in the behaviour of individuals, while economists criticize the absence of a general psychological framework into which most results (...) can be fitted and the lack of welfare implications in their theories. The editors encourage scholars to exploit the strengths of each discipline - the ability of psychologists to understand the feelings and motivation of individuals; and the experience of economists to develop normative frameworks.The editors then highlight the links between the contributions by grouping them according to central themes in the study of rationality and well-being:1. The causes and consequences of 'irrational behaviour';2. The role of anticipatory feelings and imperfect self-knowledge on decision-making; 3. The way in which memory of past events and cost of thinking affect current decisions;4. The interaction between anticipated and remembered utility and its effects on the welfare of individuals; 5. Experimental practice on how to perform controlled experiments to test hypotheses.This exciting volume provides an excellent point of entry for anyone interested in the interface between economics and psychology. (shrink)

I explore heterogeneous constructionism, my term for the perspective that science in the making is a process of agents building by combining a diversity of components. Issues addressed include causality and explanation; transcending both realism and relativism; scientists as acting, intervening, and imaginative agents; explanations that span many levels of social practice; counterfactuals in the analysis of causal claims; and practical reflexivity. An analogy from research on the social origins of depression and a sketch from my own experience in socioeconomic (...) modeling are used to motivate and render more concrete the form of heterogeneous constructionism I am advocating. (shrink)

Economic models describe individuals in terms of underlying characteristics, such as taste for some good, sympathy level for another player, time discount rate, risk attitude, and so on. In real life, such characteristics change through experiences: taste for Mozart changes through listening to it, sympathy for another player through observing his moves, and so on. Models typically ignore change, not just for simplicity but also because it is unclear how to incorporate change. I introduce a general axiomatic framework for (...) defining, analysing and comparing rival models of change. I show that seemingly basic postulates on modelling change together have strong implications, like irrelevance of the order in which someone has his experiences and ‘linearity’ of change. This is a step towards placing the modelling of change on solid axiomatic grounds and enabling non-arbitrary incorporation of change into economic models. (shrink)

This study aimed to explore practices and strategies that have successfully reduced time-to-proficiency of the workforce in large multinational organisations and develop a model based on them. The central research question of this study was: How can organisations accelerate time-to-proficiency of employees in the workplace? The study addressed three aspects: the meaning of accelerated proficiency, as seen by business leaders; the business factors driving the need for shorter time-to-proficiency and benefits accrued from it; and practices and strategies to shorten time-to-proficiency (...) of the workforce. 85 participants (n=85) from 7 countries who represented 10 economic sectors, 20 business sectors and 28 industry groups contributed 66 successful bounded project cases. A qualitative research approach was used. Data were collected through in-depth interviews with project leaders and by collecting additional project case documents. Data were analysed using thematic analysis to identify the themes in the data. Matrix analysis was then used to perform within-case and cross-case analysis to compare the project cases. 11 overarching themes were developed from the data analysis, out of which two overarching themes explained the characteristics of job-role proficiency and accelerated proficiency, while three overarching themes described the magnituide and scale of time-to-proficiency business problem, business drivers for accelerating proficiency and business benefits of reduced time-to-proficiency. Six overarching themes revealed the business practices employed by organisations to reduce time-to-proficiency: (1) Defining business-driven proficiency measures in terms of expected business outcomes from a job role; (2) Developing a proficiency reference map of all the inputs, conditions and roadblocks that determine or influence how required business outcomes are being produced in a job role; (3) Sequencing an efficient proficiency path of activities and experiences ordered to produce the desired business outcomes in the shortest possible time; (4) Manufacturing accelerated contextual experiences by leveraging on-the-job opportunities or training interventions in a compressed time-frame; (5) Promoting an active emotional immersion through engagements, consequences, stakes, feedback and proficiency assessments; and (6) Setting up a proficiency eco-system, providing timely support to performers while doing the job such as enabling job environment, highly involved manager, structured mentoring from experts, purposeful social connectivity with peers, leveraging subject matter experts and on-demand performance support systems. Organisations orchestrated these six business practices as an input-output-feedback system to reduce time-to-proficiency of the workforce. A conceptual model (Accelerated Proficiency Model) was developed representing interactions among six business-level practices/processes as a closed-loop system to explain the concept and process of accelerated proficiency in the workplace. These practices were implemented through a set of twenty-four strategies proven successful in various contexts. The strategies employed were much beyond the boundaries of conventional training interventions. The job itself acted as the primary mechanism to accelerate proficiency. A two-level hierarchical framework (6/24 framework of strategies) was also constructed in the form of a checklist consisting of six practices and twenty-four strategies for practitioners. Overall, the findings of this research study contribute significantly to the body of knowledge on accelerated proficiency. In particular, the conceptual model and the framework developed in this study can be implemented across a range of contexts, business sectors, job types and settings to reduce time-to-proficiency of the workforce. (shrink)

Econophysics is a new and exciting cross-disciplinary research field that applies models and modelling techniques from statistical physics to economic systems. It is not, however, without its critics: prominent figures in more mainstream economic theory have criticized some elements of the methodology of econophysics. One of the main lines of criticism concerns the nature of the modelling assumptions and idealizations involved, and a particular target are ‘kinetic exchange’ approaches used to model the emergence of inequality within the distribution (...) of individual monetary income. This article will consider such models in detail, and assess the warrant of the criticisms drawing upon the philosophical literature on modelling and idealization. Our aim is to provide the first steps towards informed mediation of this important and interesting interdisciplinary debate, and our hope is to offer guidance with regard to both the practice of modelling inequality, and the inequality of modelling practice. _1_ Introduction _1.1_ Econophysics and its discontents _1.2_ Against burglar economics _2_ Modelling Inequality _2.1_ Mainstream economic models for income distribution _2.2_ Econophysics models for income distribution _3_ Idealizations in Kinetic Exchange Models _3.1_ Binary interactions _3.2_ Conservation principles _3.3_ Exchange dynamics _ 4 _ Fat Tails and Savings _ 5 _ Evaluation. (shrink)

Research in the subject area of economics (as a social science) has defined its ontologie of scientific investigation through economic methodology; a philosophical approach entailing the proviso of empirical evidence and backed by an understanding of human interaction in their natural habitat. The contention of economic methodology being refuted for its non-scientific means of investigation and particularly with the application of Ceteris Paribus (CP) law, has been critically addressed in this article, with Sierra Leone as a case example. (...) Sierra Leone is a complex economy and issues surrounding the assumption of CP has been brought to the fore, with a view of the political economy structure being made transparent so as to make it possible for economists to address critical issues surrounding corruption (exogenous factors), not accounted for in econometric modelling. This is not necessarily that which is considered as the most obvious, with the use of CP concept, for example, the influence of naturally occurring incidents like adverse weather conditions, flooding and earthquakes. (shrink)

Real-world economies are open-ended dynamic systems consisting of heterogeneous interacting participants. Human participants are decision-makers who strategically take into account the past actions and potential future actions of other participants. All participants are forced to be locally constructive, meaning their actions at any given time must be based on their local states; and participant actions at any given time affect future local states. Taken together, these essential properties imply real-world economies are locally-constructive sequential games. This paper discusses a modeling (...) approach, Agent-based Computational Economics, that permits researchers to study economic systems from this point of view. ACE modeling principles and objectives are first concisely presented and explained. The remainder of the paper then highlights challenging issues and edgier explorations that ACE researchers are currently pursuing. (shrink)

Factory floors throughout the global economy are rapidly transforming themselves into potentially fertile laboratories for research in the cognitive sciences. The information revolution has challenged our understanding of perception and cognition. Innovations in information technologies have also provided us with new methods and environments for the study of cognition. On the business and economic front, information technology is supporting the development of new corporate information systems-Enterprise Systems-that will revolutionize the decision-making, reporting and reward environments in corporations. These systems are (...) pervasive and transforming. At all levels, employees will be presented with potentially unlimited amounts of accurate, real-time information and will be expected to use that information effectively. The possibilities for research, especially for modeling the learning and decision-making processes, are unparalleled. Research conducted in these environments offers extraordinary opportunities to address research questions formerly requiring limited synthetic environmental situations. Data collected in firms as they deploy enterprise information systems can be more extensive and accurate and more easily quantified than data from traditional synthetic experiments. Research programs in these settings can also address more complex problems of human interaction and collaborativity. This article describes the aspects of enterprise systems that will be of greates interest to cognitive scientists. It also outlines the nature of potential collaboration between economists and cognitive scientists and offers a list of outstanding questions for systems design and development. (shrink)

The concept of the method based on the behavioural approach as the method minimizing hazardous behaviours of employees has been discussed in this article. The main focus has been laid upon one of the largest economic sectors, i.e. is the construction industry. Thereby, risks arising from an improper behaviour of construction workers, and also a factor contributing to it, have been described here. The influence of employee’s age and day time have been analysed in terms of accident rates. The (...) attention was also paid to alcohol consumed by workers during and after their work and to the influence that it has on dangerous behaviours. Different ways of approaches to the worker to improve safety and hygiene at work, as well as the manner in which the approach to employee should change depending on the situation, have been presented too. (shrink)

Psychologists have a long tradition of studying human behavior, strengths and weaknesses, biases and limitations. Economists have constructed normative frameworks that capture the most important elements of human decision-making and developed powerful tools to determine individual and strategic choices in a variety of situations. Only recently have their strengths been combined and economic models enriched with key ingredients found in psychological studies.This volume covers four of the most important themes in this interdisciplinary field: feelings, inconsistencies, limitations and biases. Each (...) chapter contributes to a more comprehensive and accurate modelling and description of human behavior. Its four parts cover: the origins, formation, and evolution of beliefs; consistency, commitment, and intertemporal separability of dynamic choices; attention, preference formation, and risk evaluation in limited cognition; and affective behaviour, specifically the role of emotions in decision making. (shrink)

A review of Donald Katzner's book on economic modelling is provided. In addition to characterising the book, I give critical comments on the distinction between primary and secondary assumptions.

Most of the world's population and the vast majority of the world's poor live and work in villages. Their activities are usually centred in households, but interactions among households shape the impacts of policy, market and environmental changes on rural production, incomes, employment and migration. This book presents a generation of villagewide economic modelling designed to capture these interactions when assessing the impacts of policy, market and environmental changes on rural economies in less developed countries. The authors present a (...) general framework for modelling village economies based on computable general-equilibrium techniques, estimate models for villages and a village-town in five different countries, and use these models to conduct a series of comparative experiments. The findings offer explanations for some paradoxical outcomes of exogenous shocks as their influence winds its way through rural economies, and they underline the importance of adopting a local economy-wide perspective when designing development policies. (shrink)

In this article, I argue that Williams's sceptical view about the value of economic models expressed in 'The philosophy of economic modelling: a critical survey' [South African Journal of Philosophy, 18(2): 223–246, this issue], and widely shared amongst philosophers of science, is not warrented. Williams's error, I maintain, lies in his failure to adequately distinguish, (a) between theories in general and what he calls 'folk theories', and (b) between the different roles that models play in different sciences. With (...) respect to (b), I suggest that Williams fails to recognize that scientists who lack the ability of physicists to constrain theorizing through rigorous controlled experiments must generally do a good deal of work investigating theories by means of models solely designed to test their formal implications, before further models with potentially direct applicability to the world can even be developed. Williams's central mistake, I argue, lies in confusing models of the first sort with models of the second. (shrink)

Transparency and openness are broadly endorsed in energy and environmental modelling and analysis, but too little attention is given to the transparency of value-laden assumptions. Current practices for transparency focus on making model source code and data available, documenting key equations and parameter values, and ensuring replicability of results. We argue that, even when followed, these guidelines are insufficient for achieving deep transparency, in the sense that results often remain driven by implicit value-laden assumptions that are opaque to other modellers (...) and researchers, and that may not be understood by wider audiences to be controversial. This paper identifies additional best practices for achieving transparency by highlighting issues where disagreement over value judgements will persist for the foreseeable future. Recommendations for deepening transparency are developed by learning from successes and ongoing challenges represented in three case studies. We provide recommendations to accelerate the adoption of additional best practices for deepening transparency of energy and environmental modelling in policy-relevant domains, increasing stakeholder participation with non-modellers, and encouraging interdisciplinary dialogue. (shrink)

Biologists and economists use models to study complex systems. This similarity between these disciplines has led to an interesting development: the borrowing of various components of model-based theorizing between the two domains. A major recent example of this strategy is economists’ utilization of the resources of evolutionary biology in order to construct models of economic systems. This general strategy has come to be called evolutionary economics and has been a source of much debate among economists. Although philosophers have developed (...) literatures on the nature of models and modeling, the unique issues surrounding this kind of interdisciplinary model building have yet to be independently investigated. In this paper, we utilize evolutionary economics as a case study in the investigation of more general issues concerning interdisciplinary modeling. We begin by critiquing the distinctions currently used within the evolutionary economics literature and propose an alternative carving of the conceptual terrain. We then argue that the three types of evolutionary economics we distinguish capture distinctions that will be important whenever resources of model-based theorizing are borrowed across distinct scientific domains. Our analysis of these model-building strategies identifies several of the unique methodological and philosophical issues that confront interdisciplinary modeling. (shrink)

This paper attempts to quantify the development of the key monetary values and changes in monetary trust that occurred during Roman times under ever-increasing prices. To track those developments, the paper introduces a minimal-parameter model that builds on available numismatic data relating to the Roman landmark coinages and on papyrological findings. The modelling produces a series of graphs which clearly signal the occurrence of a later crisis of confidence. It is argued that the monetary measures typically taken by the Roman (...) authorities actually fostered a crisis of confidence, and even made it inevitable. (shrink)

The ageing population has become one of the major issues, with manifold consequences upon the economic welfare and elderly living standards satisfaction. This paper grasps an in-depth assessment framework of the ageing phenomenon in connection with the labor market, with significant implications upon economic welfare, across the European Union. We configure our research on four distinctive groups of the EU–27 countries based on the Active Ageing Index mapping, during 1995–2018, by acknowledging the different intensities of ageing implications on (...) economic well-being from one group of countries to another. The methodological endeavor is based on Structural Equation Modelling. Empirical results highlight that the ageing dimensions and labor market productivity notably shape the socioeconomic development of EU countries, visibly distinguished across the four panels. The economic development induced remarkable positive spillover effects on the welfare of older people, under the influence of the ageing credentials and dynamic shaping factors. Our research advances the literature underpinnings on this multifaceted topic by investigation made on specific groups of the EU countries and distinctive strategies proposed for each group of countries, as effective results for improving the well-being of older people. Constant policy rethinking and adequate strategies should be a top priority for each specific group of EU countries, to further sustain the ageing phenomenon, with positive implications mostly on elderly welfare. (shrink)