A question that recent research on the global pandemic raises is: how do the assumptions underlying epidemiological models and economic models differ? Epidemiological models we now know have become quite sophisticated (see Avery et al., 2020). Debate among economic methodologists regarding the...

The global production (as a system of creating values) is eventually forming a vast web of value chains that explains the transitional structures of global trade and development of the world economy. It is truly a new wave of globalisation, and we can term it as the global value chains (GVCs),...

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation...

In statistics, samples are drawn from a population in a datagenerating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidencegenerating process (EGP). We claim that EGP variation...

In statistics, samples are drawn from a population in a datagenerating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidencegenerating process (EGP). We claim that EGP variation...

In statistics, samples are drawn from a population in a datagenerating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidencegenerating process (EGP). We claim that EGP variation...

In statistics, samples are drawn from a population in a datagenerating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidencegenerating process (EGP). We claim that EGP variation...

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation...

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation...

In recent academic and to some extent public debates, mainstream economics has been accused of excessive mathematization. The rejection of mathematical and other formal methods is often cited as a crucial trait of Austrian economics. Based on a systematic discussion of potential benefits and...

Change is hardly a new feature in human affairs. Yet something has begun to change in change. In the face of a range of emerging, complex, and interconnected global challenges, society’s collective governance efforts may need to be put on a different footing. Many of these challenges derive...

This paper examines how attribute substitution (AS), central to the psychology of choice and behavioral economic reasoning, can be understood when combined with counterfactual thinking (CFT), often called ‘what if’ or ‘if only’ thinking, and how their combination creates important...

For the past few decades, because of the environmental hazards, green purchase has been subject to wide ranges of studies. Subsequently, understanding the intellectual structure of the green purchase behaviour is increasingly becoming important. This study investigates the citation in green...

In the last decade, contextualization has matured into an important topic of entrepreneurship research and continues to attract great interest. However, from a methodological point of view, contextualization still seems to pose significant challenges. In order to reflect the current trends and...

This is the introduction to a symposium, The New Realism in Business Law and Economics, published in the Wisconsin Law Review. The symposium features papers from Afra Afsharipour, Robert Anderson IV, Elizabeth deFontenay, Sean Griffith, Mitu Gulati (with Steven Choi and Robert Scott), Claire...

The fields of the history and methodology of economics have recently experienced a quantitative turn. Among the quantitative tools and methods recently used, text mining has received less attention. In this article, we apply a “text as data” approach to the study of Adam Smith's The Wealth...

For the past few decades, because of the environmental hazards, green purchase has been subject to wide ranges of studies. Subsequently, understanding the intellectual structure of the green purchase behaviour is increasingly becoming important. This study investigates the citation in green...

In the last decade, contextualization has matured into an important topic of entrepreneurship research and continues to attract great interest. However, from a methodological point of view, contextualization still seems to pose significant challenges. In order to reflect the current trends and...

Pluralism in economics appears to be a double-edged sword: we need more than one theory to grasp and explain the entire economic world, yet a plurality of possible explanations undermines the aspiration of the economic discipline to provide 'objective knowledge' in the singular of the 'one world...

This article surveys computational approaches to classical-Marxian economics. These approaches include a range of techniques - such as numerical simulations, agent-based models, and Monte Carlo methods - and cover many areas within the classical-Marxian tradition. We focus on three major themes...

Traditionally, students of economics have often been told that it is a non-experimental science. Using a quantitative and qualitative analysis of introductory economics textbooks, we track the historical evolution of this rhetoric from 1970 to the present day. We find that anti-experimental...

In a world dominated by uncertainty, modeling and understanding the optimal behavior of agents is of the utmost importance. Many problems in economics, finance, and actuarial science naturally require decision makers to undertake choices in stochastic environments. Examples include optimal...

This book is devoted to the application of fractional calculus in economics to describe processes with memory and non-locality. Fractional calculus is a branch of mathematics that studies the properties of differential and integral operators that are characterized by real or complex orders....