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.
First some definitions regarding econometrics, regressions, types of data and independent and dependent variables are given. Then the basic function of a simple regression analysis is explained. Lastly, there is discussion of the meaning of the error term.
There are three things one can do on this website - 1. Learn 2. Help Teach 3. Sign up for the MOOC.
Photo by timJ on Unsplash Do you wish to know how to analyze and solve business and economic questions with data analysis tools Then Econometrics by Erasmus University Rotterdam is the right course for you as you learn how to translate data into models to make forecasts and to support …
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.
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.
This course introduces students to the relevance of gender relations in economics as a discipline and in economic processes and outcomes. The course covers three main components of gender in economics and the economy: (1) the gendered nature of the construction and reproduction of economic theory and thought; (2) the relevance and role of gender in economic decision-making; and (3) differences in economic outcomes based on gender. We wil touch on the relevance of gender and gender relations in at least each of the following topics: economic theory; the history of economic thought; human capital accumulation; labor market discrimination; macroeconomic policy, including gender budgeting; household economics; basic econometrics; and economic crises.
This course introduces students to the relevance of gender relations in economics as a discipline and in economic processes and outcomes. The course covers three main components of gender in economics and the economy: (1) the gendered nature of the construction and reproduction of economic theory and thought; (2) the relevance and role of gender in economic decision-making; and (3) differences in economic outcomes based on gender. We will touch on the relevance of gender and gender relations in at least each of the following topics: economic theory; the history of economic thought; human capital accumulation; labor market discrimination; macroeconomic policy, including gender budgeting; household economics; basic econometrics; economic history; and economic crises.
Making sense of economists and their world in a persuasive and entertaining style, Arjo Klamer, shows that economics is as much about how people interact as it is about the models, the mathematics, the econometrics, the theories and the ideas that come from the enormous aggregate of economics literature. Knowing and understanding economics requires both bookwork and mingling with other economists.
Despite the important methodological critiques of the mainstream offered by heterodox economics, the dominant research method taught in heterodox programmes remains econometrics.
This syllabus provides an overview of the contents of the course "The Philosophy and Methodology of Economics" at the Duke University
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.
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 chapter discusses the role of gender in economic relations, processes, and outcomes. Gender differences in economic outcomes such as labor force participation and wages have received growing attention from economists in the last several decades – a positive and much needed development in economic thinking.
In this essay the author reviews empirical studies in economics that analyze factors behind the rise of nationalist and populist parties in Western countries. He stresses that economic factors (e.g., trade shocks and economic crisis) play a crucial role in the rise of populist parties; however, the discussion of mechanisms driving this trend remains unsatisfying
Steve Keen analyses how mainstream economics fails when confronted with the covid-19-pandemic. Mainstream economics has propagated the dismantling of the state and the globalization of production - both of which make the crisis now so devastating. More fundamentally, mainstream economics deals with market systems, when what is needed to limit the virus’s spread is a command system.
Stratification economics is defined as a systemic and empirically grounded approach to addressing intergroup inequality. Stratification economics integrates economics, sociology and social psychology to distinctively analyze inequality across groups that are socially differentiated, be it by race, ethnicity, gender, caste, sexuality, religion or any other social differentiation.
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.
Institutional economics focuses on the role of social institutions in terms of laws or contracts, but also those of social norms and patterns of human behaviour that are connected to the social organisation of production, distribution and consumption in the economy.
This course introduces students to the relevance of gender relations in economics as a discipline and in economic processes and outcomes.
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 …
Who are the 86 laureates of the economics “Nobel prize”, and what are their scientific contributions? This course will present the major concepts, theories, and results in modern economics, through an overview of the work of a selection of economics “Nobel prize” as well as Leontief prize laureates.
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.
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.
New Tools of Economic Dynamics gives an introduction and overview of recently developed methods and tools, most of them developed outside economics, to deal with the qualitative analysis of economic dynamics. It reports the results of a three-year research project by a European and Latin American network on the intersection of economics with mathematical, statistical, and computational methods and techniques.
Regression Analysis: A Constructive Critique identifies a wide variety of problems with regression analysis as it is commonly used and then provides a number of ways in which practice could be improved.