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19 results
The chi-square distribution is used to test a hypothesis. Therefore, expected values are related to observed values using a chi-square distribution. Then using p-value tables the hypothesis is tested at a 5% significance level.
The definition of a chi-square distribution is given. Chi-square is defined as the sum of random normally distributed variables (mean=0, variance=s.d.=1). The number of added squared variables is equal to the degrees of freedom. With more degrees of freedom the probability of larger chi-square values is increased.
From the two premises that (1) economies are complex systems and (2) the accumulation of knowledge about reality is desirable, I derive the conclusion that pluralism with regard to economic research programs is a more viable position to hold than monism. To substantiate this claim an epistemological framework of how scholars study their objects of inquiry and relate their models to reality is discussed. Furthermore, it is argued that given the current institutions of our scientific system, economics self-organizes towards a state of scientific unity. Since such a state is epistemologically inferior to a state of plurality, critical intervention is desirable.
Complexity economics focuses on interactions and interdependencies between individuals and structures in economic systems. Those are systems of organised complexity. High importance is given to the analysis of networks.
This text summarizes the content of the 2018 Nobel Prize winner W. Nordhaus. It is extended by some critical perspectives on this topic. The short dossier gives an overview of the most important texts we have read in the climate economics reading group.
This text provides an easy to understand introduction to complexity economics for non-specialist audiences such as bachelor's students.
More-is-better ideals such as these have long shaped our vision of rationality. Yet humans and other animals typically rely on simple heuristics to solve adaptive problems, focusing on one or a few important cues and ignoring the rest, and shortcutting computation rather than striving for as much as possible.
As seen with the United Nations significant promotion of the Sustainable Development Goals (SDGs) in the past few years, the issue of global development is of growing concern to many international organizations. As humanity continues to become more interconnected through globalization, the inequalities and injustices experienced by inhabitants of impacted countries becomes increasingly clear. While this issue can be observed in the papers of different types (e.g., different schools of thought) of economists throughout the world, the work of behavioral and complexity economists offer a unique, collaborative perspective on how to frame decisions for individuals in a way that can positively reverberate throughout society and throughout time.
What are the implications of the politics of "behavioural change"? Alexander Feldmann took a closer look for you on nudging and framing and if this is a legitimate instrument being used by the state to make us behave better in terms of our carbon footprint.
With the onset of an economic crisis that has been universally acknowledged since the end of March, two main questions arise: To what extent is the corona pandemic the starting point (or even the cause) of this crisis? And secondly: can the aid programmes that have been adopted prevent a deep and prolonged recession?
One method of economic modelling that has become increasingly popular in academia, government and the private sector is Agent Based Models, or ABM. These simulate the actions and interactions of thousands or even millions of people to try to understand the economy – for this reason ABM was once described to me as being “like Sim City without the graphics”. One advantage of ABM is that it is flexible, since you can choose how many agents there are (an agent just means some kind of 'economic decision maker' like a firm, consumer, worker or government); how they behave (do they use complicated or simple rules to make decisions?); as well as the environment they act in, then just run the simulation and see what happens as they interact over time.
If there’s one method economists have neglected the most, it’s qualitative research. Whereas economists favour mathematical models and statistics, qualitative research seeks to understand the world through intensive investigation of particular circumstances, which usually entails interviewing people directly about their experiences. While this may sound simple to quantitative types the style, purpose, context, and interpretation of an interview can vary widely. Because of this variety, I have written a longer post than usual on this topic rather than doing it a disservice. Having said that, examples of qualitative research in economics are sadly scant enough that it doesn’t warrant multiple posts. In this post I will introduce qualitative research in general with nods to several applications including the study of firm behaviour, race, Austrian economics, and health economics. More than usual I will utilise block quotes, which I feel is in the spirit of the topic.
By conducting a discourse analysis (SKAD) in the field of academic economics textbooks, this paper aims at reconstructing frames and identity options offered to undergraduate students relating to the questions ‘Why study economics?’ and ‘Who do I become by studying economics?’. The analysis showed three major frames and respective identity offerings, all of which are contextualized theoretically, with prominent reference to the Foucauldian reflection of the science of Political Economy. Surprisingly, none of them encourages the student to think critically, as could have been expected in a pedagogical context. Taken together, economics textbooks appear as a “total structure of actions brought to bear upon possible action” (Foucault), therefore, as a genuine example of Foucauldian power structures.
Jason Collins explains how his evolutionary approach to decision making relates to other approaches of behaviour This piece therefore not only serves as a good introduction to this evolutionary approach but also serves as a great introduction to these other approaches of behaviour namely neoclassical perfect rationality which involves mainly …
This statistics and data analysis course will introduce you to the essential notions of probability and statistics We will cover techniques in modern data analysis estimation regression and econometrics prediction experimental design randomized control trials and A B testing machine learning and data visualization We will illustrate these concepts with …
Behavioural economics deals with observing behaviour and economic decision making behaviour.
This course attempts to explain the role and the importance of the financial system in the global economy. Rather than separating off the financial world from the rest of the economy, financial equilibrium is studied as an extension of economic equilibrium. The course also gives a picture of the kind of thinking and analysis done by hedge funds.
In this book the author develops a new approach to uncertainty in economics, which calls for a fundamental change in the methodology of economics. It provides a comprehensive overview and critical appraisal of the economic theory of uncertainty and shows that uncertainty was originally conceptualized both as an epistemic and an ontological problem.
Game theory is the standard quantitative tool for analyzing the interactions of multiple decision makers. Its applications extend to economics, biology, engineering and even cyber security.
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