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There are three things one can do in this website - 1. Learn 2. Help Teach 3. Sign up MOOC. This is a semester-long graduate course in Econometrics. This course is intended for graduate students in economics-related fields and more generally in social sciences. The course includes an overview of the models and theory and applications using Stata, R, or SAS
programs. This econometrics class covers about 15 of the most commonly used econometric models in economics, such as linear regression, panel data models, probit and logit models, limited dependent variable models, count data models, time series models, and many more.
The human imprint on the biosphere has become so pronounced in recent years that there has been talk of a new geological era, the 'Anthropocene'.
This syllabus provides an overview of the contents of the course "Understanding Economic Models" at the University of Helsinki.
This article considers the strengths of agent-based modelling and the ways that it can be used to help central banks understand the economy. These models provide a complement to more traditional economic modelling which has been criticised in the wake of the Great Recession.
Have you ever wondered why it is so difficult to follow through on new year’s resolutions, such as to exercise more or to start saving more money towards retirement? The agent that most traditional economic models are based on would not struggle to keep up these resolutions. These agents are referred to as homo economicus.
An essay of the writing workshop on contemporary issues in the field of Nigerian economics: Labour and all the dynamics, such as laws, mobility, gender participation, regulation etc., that are associated with it cements the need for this paper which seeks to objectively review, analyse, and if deemed necessary, give plausible recommendations.
Michael Kalecki famously remarked “I have found out what economics is; it is the science of confusing stocks with flows”. Stock-Flow Consistent (SFC) models were developed precisely to address this kind of confusion. The basic intuition of SFC models is that the economy is built up as a set of intersecting balance sheets, where transactions between entities are called flows and the value of the assets/liabilities they hold are called stocks. Wages are a flow; bank deposits are a stock, and confusing the two directly is a category error. In this edition of the pluralist showcase I will first describe the logic of SFC models – which is worth exploring in depth – before discussing empirical calibration and applications of the models. Warning that there is a little more maths in this post than usual (i.e. some), but you should be able to skip those parts and still easily get the picture.
This collection of previously published and new papers is a major intervention in the on-going debate about the nature and future of economics. Instead of the present deductivist-formalist orientation of mainstream economics, Lars Syll advocates for the adoption of a more pluralist approach to economics, arguing for more realism and relevance with less insistence on mathematical modeling.
This article outlines the fundamental challenges of democratically planned economies and categorises proposed models into six groups, each of which approaches planning and coordination at different levels of authority and between myriad economic units in a particular way, taking into account efficiency as well as democratic principles and environmental and social sustainability. Through a classification system based on decision-making authority and mediation mechanisms, the article provides a framework for understanding and comparing these models. By examining their different approaches, it offers insights into the complexities and potential paths of democratically planned economies in the 21st century.
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.
Geographical economics starts from the observation that economic activity is clearly not randomly distributed across space. This revised and updated introduction to geographical economics uses the modern tools of economic theory to explain the who, why and where of the location of economic activity. The text provides an integrated, first-principles introduction to geographical economics for advanced undergraduate students and first-year graduate students, and has been thoroughly revised and updated to reflect important developments in the field, including new chapters on alternative core models and policy implications.
This paper presents an overview of different models which explain financial crises, with the aim of understanding economic developments during and possibly after the Great Recession. In the first part approaches based on efficient markets and rational expectations hypotheses are analyzed, which however do not give any explanation for the occurrence of financial crises and thus cannot suggest any remedies for the present situation. A broad range of theoretical approaches analyzing financial crises from a medium term perspective is then discussed. Within this group we focused on the insights of Marx, Schumpeter, Wicksell, Hayek, Fisher, Keynes, Minsky, and Kindleberger. Subsequently the contributions of the Regulation School, the approach of Social Structures of Accumulation and Post-Keynesian approach, which focus on long-term developments and regime shifts in capitalist development, are presented. International approaches to finance and financial crises are integrated into the analyses. We address the issue of relevance of all these theories for the present crisis and draw some policy implications. The paper has the aim to find out to which extent the different approaches are able to explain the Great Recession, what visions they develop about future development of capitalism and to which extent these different approaches can be synthesized.
In this paper the main developments in post-Keynesian macroeconomics since the mid- 1990s will be reviewed. For this purpose the main differences between heterodox economics in general, including post-Keynesian economics, and orthodox economics will be reiterated and an overview over the strands of post-Keynesian economics, their commonalities and developments since the 1930s will be outlined. This will provide the grounds for touching upon three important areas of development and progress of post-Keynesian macroeconomics since the mid-1990s: first, the integration of distribution issues and distributional conflict into short- and long-run macroeconomics, both in theoretical and in empirical/applied works; second, the integrated analysis of money, finance and macroeconomics and its application to changing institutional and historical circumstances, like the process of financialisation; and third, the development of full-blown macroeconomic models, providing alternatives to the mainstream 'New Consensus Model' (NCM), and allowing to derive a full macroeconomic policy mix as a more convincing alternative to the one implied and proposed by the mainstream NCM, which has desperately failed in the face of the recent crises.
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.
The Philosophy of Economics Foundational Text provides a systematic and well-structured overview over the field of philosophy of economics.
The MINE website explores the interplay between nature and economy. Focusing on such fundamental concepts as time, thermodynamics, evolution, homo politicus and justice, a new outline of economic activity emerges within nature. The dominant approach of Mainstream Economics, which considers nature as a subsystem of the economy, is thus replaced by a broader and more integrated framework. The visual map and its links between concepts provides an orientation. The visitor can approach the content from their own starting point and follow their own path to discovery. Each concept starts with the historical background and moves on through theory and practice.
The research behind MINE began in the 1970s at the University of Heidelberg, Germany, in an interdisciplinary group spearheaded by Professor Malte Faber, including scientists from economics to mathematics, physics and philosophy. The research has contributed to the field of Ecological Economics.
MINE is directed at students, scientists and decion-makers. More on http://nature-economy.de/faq/
In this blog article Steve Keen elaborates on flawed climate change modelling and mainstream economics forecasts. In specific, he stresses the climate change forecasts of the DICE model (“Dynamic Integrated model of Climate and the Economy”) by Nobel Memorial Prize in Economic Sciences winner William Nordhaus.
In this podcast, Nalia Kabeer talks about her work, criticising the way in which Randomized Control Trials (RCTs) is adopted as a sole form of impact assessment. At the beginning of the talk, she briefly describes The Ultra Poor Project (the context of her study), RCTs and its critiques (such as lack of acknowledgement of human agency, heterogeneity, and social context); also, the problem that most RCTs practitioners do not allow for qualitative research conducted in an integrated way as it might cause their studies “being contaminated.”
Post-Keynesians focus on the analysis of capitalist economies, perceived as highly productive, but unstable and conflictive systems. Economic activity is determined by effective demand, which is typically insufficient to generate full employment and full utilisation of capacity.
Based on a critique on econometric and DSGE models (in particular in the context of the financial crisis), Doyne Farmer presents his current research programme that aims at building an agent-based model of the financial and economic crisis. It models heterogeneous agents and from there simulates the economy, firstly for the housing market. The interview gives a short insight in the research programme.
In the keynote speech, Sigrid Stagl argues why it is necessary to include socio-ecological aspects in macoreconomic models. The talk focuses on the ecological necessities, mentioning limits to growth, resource extraction and planetary boundaries. At the end, Stagl shortly presents several current macroeconomic initiatives and models that move towards a a socio-ecological macroeconomics.
Neoclassical economics focuses on the allocation of scarce resources. Economic analysis is mainly concerned with determining the efficient allocation of resources in order to increase welfare.
This text provides an easy to understand introduction to complexity economics for non-specialist audiences such as bachelor's students.
As opposed to the conventional over-simplified assumption of self-interested individuals, strong evidence points towards the presence of heterogeneous other-regarding preferences in agents. Incorporating social preferences – specifically, trust and reciprocity - and recognizing the non-constancy of these preferences across individuals can help models better represent the reality.
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.
The new online platform ‚DIY Macroeconomic Model Simulation‘ provides an open-source code repository and online script for macroeconomic model simulation. It follows a “do-it-yourself” (DIY) approach, empowering users to numerically simulate key macroeconomic models on their own using the programming language R.
What data is used in the economic models of the IPCC? How problematic is it, that tipping points are often ignored? A very interesting presentation by Steve Keen during the OECD Conference "Averting Systemic Collapse".
The notion that the demand and supply side are independent is a key feature of textbook undergraduate economics and of modern macroeconomic models. Economic output is thought to be constrained by the productive capabilities of the economy - the ‘supply-side' - through technology, demographics and capital investment. In the short run a boost in demand may increase GDP and employment due to frictions such as sticky wages, but over the long-term successive rises in demand without corresponding improvements on the supply side can only create inflation as the economy reaches capacity. In this post I will explore the alternative idea of demand-led growth, where an increase in demand can translate into long-run supply side gains. This theory is most commonly associated with post-Keynesian economics, though it has been increasingly recognised in the mainstream literature.
How do people make decisions? There is a class of models in psychology which seek to answer this question but have received scant attention in economics despite some clear empirical successes. In a previous post I discussed one of these, Decision by Sampling, and this post will look at another: the so-called Fast and Frugal heuristics pioneered by the German psychologist Gerd Gigerenzer. Here the individual seeks out sufficient information to make a reasonable decision. They are ‘fast’ because they do not require massive computational effort to make a decision so can be done in seconds, and they are ‘frugal’ because they use as little information as possible to make the decision effectively.
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.
Maria Nikolaidi on how Minsky’s theory has been modelled over past decades and how one can use these models in order to analyse contemporary issues such as financial fragility and financial instability caused by climate change.
Adam Smith's The Wealth of Nations provided the first, most influential and lasting explanation of the workings of modern economics. But with his focus on "the market" as the best mechanism for producing and distributing the necessities of life, Smith's concepts only told part of the story, leading to flawed economic models that devalue activities that fall outside of the market's parameters of buying and selling.
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