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First some terminology is explained. Then the interpretations of the coefficients and constants of the function are discussed. Afterwards the zero conditional mean assumption regarding the residual is problematized. Lastly, a graphical representation of a regression line is given and the least sum of squared errors is introduced and the equation for the coefficient of the linear function as well as for the intercept is given.
First some properties about the Sum of squared residuals and the linear regression function are restated. In particular three properties that an ideal fitted regression line must fulfill are discussed. Then, the R squared is defined using the measures of the Sum of squared residuals, the total sum of squares and the sum of explained squares.
The premise of this workshop is that we, as knowledge producers - especially within westernized universities (Grosfoguel, 2013), are significantly implicated in neoliberal imaginaries that are often in service of hierarchical, binary, competitive and linear narratives of growth as civilizational progress.
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.
This course introduces the main topics in Econometrics by using R statistical software. The relation of themes is comprehensive and includes the basic notions such as linear regression, multiple regression, causal inference, regression discontinuity and instrumental variable. In total, the course covers thirteen chapters that are common in any undergraduate econometrics course.
This text provides an easy to understand introduction to complexity economics for non-specialist audiences such as bachelor's students.
The last 15 years have seen extensive research into ecosystem service valuation (ESV), spurred by the Millenium Ecosystem Assessment in 2005 (Baveye, Baveye & Gowdy, 2016). Ecosystem services are defined as “the benefits people obtain from ecosystems” (Millenium Ecosystem Assessment, p.V). For example, ecosystems provide the service of sequestering carbon which helps regulate the climate. Valuation means giving ecosystems or their services a monetary price, for example researchers have estimated that the carbon sequestration services of the Mediterranean Sea is between 100 and 1500 million euros per year. The idea of ESV was a response to the overuse of natural resources and degradation of ecosystems, allegedly due to their undervaluation and exclusion from the monetary economy. ESV can be used (1) for policy decision-making, for example allocating funding to a reforestation project (2) for setting payments to people who increase ecosystem services, for example a farmer increasing the organic carbon content of their soil, and (3) for determining fees for people who degrade ecosystem services, for example a company that causes deforestation.
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.
Deforestation is estimated to be responsible for about 12-29% of global greenhouse gas emissions. This essay will explore ecological economics as an alternative lens through which to approach forest conservation and the acceleration of climate change.
Economic sociology is an entire subfield and one could write an series on it, so I’m going to stick to probably the most prominent economic sociologist and the founder of ‘new economic sociology’, Mark Granovetter.
Austrian economics focuses on the economic coordination of individuals in a market economy. Austrian economics emphasises individualism, subjectivism, laissez-faire politics, uncertainty and the role of the entrepreneur, amongst others.
Marxian Political Economy focuses on the exploitation of labour by capital. The economy is not conceived as consisting of neutral transactions for exchange and cooperation, but instead as having developed historically out of asymmetric distributions of power, ideology and social conflicts.
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.
Environmental catastrophe looms large over politics: from the young person’s climate march to Alexandria Ocasio-Cortez’s Green New Deal, increasing amounts of political space are devoted to the issue. Central to this debate is the question of whether economic growth inevitably leads to environmental issues such as depleted finite resources and increased waste, disruption of natural cycles and ecosystems, and of course climate change. Growth is the focal point of the de-growth and zero-growth movements who charge that despite efficiency gains, increased GDP always results in increased use of energy and emissions. On the other side of the debate, advocates of continued growth (largely mainstream economists) believe that technological progress and policies can ‘decouple’ growth from emissions.
The most successful multialternative theories of decision making assume that people consider individual aspects of a choice and proceed via a process of elimination. Amos Tversky was one of the pioneers of this field, but modern decision theorists – most notably Neil Stewart – have moved things forward. At the current stage the theories are able to explain a number of strictly ‘irrational’ but reasonable quirks of human decision making, including various heuristics and biases. Not only this, but eye movements of participants strongly imply that the decision-making process depicted in the theories is an accurate one.
Exploring Economics, an open-source e-learning platform, giving you the opportunity to discover & study a variety of economic theories, topics, and methods.
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.
This course provides future change makers in public and private sectors with a comprehensive overview on the structures and actors that shape markets.
On July 2020 ZOE-Institute published a unique platform for transformative policymaking: Sustainable Prosperity. Building on insights from new economic thinking the platform provides knowledge about ideas, arguments and procedures that support effective promotion of political change. It aims to strengthen change makers in public policy institutions, who are working on an ambitious green and just transition. As such, it provides convincing arguments and policy ideas to overcome the reliance of economic policy on GDP growth
Steven G. Medema is a Research Professor at Duke University. His research focuses on the History of Economic Thought, having published extensively on the issue of social costs of production (conceptualized as externalities in neoclassical economics). In this recorded seminar, he exposes his working paper on the history of the concept of externalities in economic literature, starting from Pigou’s “The Economics of Welfare” (1920), where Pigou makes the case for governmental intervention in the market where there is a divergence between private and social costs or benefits of a productive activity. T
This syllabus provides an overview of the contents of the course "Understanding Economic Models" at the University of Helsinki.
There are three things one can do on this website - 1. Learn 2. Help Teach 3. Sign up for the MOOC.
Feminist economics focuses on the interdependencies of gender relations and the economy. Care work and the partly non-market mediated reproduction sphere are particularly emphasised by feminist economics.
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.
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.
The goal of the class is to acquire familiarity with recently-published research in alternative macroeconomics with a focus on the distribution of income and wealth, cyclical growth models, and technical change.
Designed to give second-year undergraduates an intuitive understanding of basic mathematical techniques, and when and why they are applicable. Building on the traditional framework of calculus, the notion of a concave function is used to link the new algebraic methods with the more familiar graphical approachoand to introduce the modern use of duality in economic analysis.
This book presents a methodological framework for the analysis of intercultural issues frequently misinterpreted by existing theories. It uses a challenge-and-response theory of cultural development to examine the relationship between different natural disasters and threats and the developments of ancient civilizations.
Despite some diversification modern economics still attracts a great deal of criticism. This is largely due to highly unrealistic assumptions underpinning economic theory, explanatory failure, poor policy framing, and a dubious focus on prediction. Many argue that flaws continue to owe much of their shortcomings to neoclassical economics.
This book provides important insights into agrarian history and the economic and cultural meanings associated with land.
When Santa Fe Institute Scientists first started working on economics more than thirty years ago, many of their insights, approaches, and tools were considered beyond heterodox. These once-disparaged approaches included network economics, agents of limited rationality, and institutional evolution—all topics that are now increasingly considered mainstream.
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