Estimation theory | Econometric models
In econometrics, endogeneity broadly refers to situations in which an explanatory variable is correlated with the error term. The distinction between endogenous and exogenous variables originated in simultaneous equations models, where one separates variables whose values are determined by the model from variables which are predetermined; ignoring simultaneity in the estimation leads to biased estimates as it violates the exogeneity assumption of the Gauss–Markov theorem. The problem of endogeneity is often ignored by researchers conducting non-experimental research and doing so precludes making policy recommendations. Instrumental variable techniques are commonly used to address this problem. Besides simultaneity, correlation between explanatory variables and the error term can arise when an unobserved or omitted variable is confounding both independent and dependent variables, or when independent variables are measured with error. (Wikipedia).
Threshold Switching Models | Switching Models in Econometrics, Part 2
This is the second video in a two-part series that shows how to model time series data in the presence of regime shifts in MATLAB in this video, we use Threshold Switching Models from the Econometrics Toolbox to model inflation data across different inflationary regimes. Download the code
From playlist Switching Models in Econometrics
Trigonometry 5 The Cosine Relationship
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Michael Ghil, Coupled Climate–Economics Modeling and Data Analysis - 21 January 2019
Coupled Climate–Economics Modeling and Data Analysis: Endogenous Business Cycles and Fluctuation–Dissipation Theory Michael Ghil Ecole Normale Supérieure, Paris, e University of California, Los Angeles Abstract: This talk will address the mathematics of non-equilibrium macroeconomics [
From playlist Centro di Ricerca Matematica Ennio De Giorgi
Samuel Bowles, Research Professor at the Santa Fe Institute and Professor of Economics at the University of Siena, gave three public lectures where he presented evidence that explicit incentives and constraints often diminish ethical motivations. This is the third lecture of a three-part
From playlist Ethics, Politics and Economics
Trigonometry 6 The Sine of the Sum and the Difference of Two Angles
A description of the sine function of the sum and difference of two angles.
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11. Institutions and Incentives in Mortgages and Mortgage-Backed Securities
Capitalism: Success, Crisis and Reform (PLSC 270) Guest speaker Will Goetzmann, Director of the Yale International Center for Finance and professor at the Yale School of Management, provides a brief history of debt and financial crises. Professor Goetzmann begins with a discussion on de
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Linear regression is used to compare sets or pairs of numerical data points. We use it to find a correlation between variables.
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Regional Climate Projections and High-Resolution Economic Modeling
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From playlist Uncertainty in Climate Change: A Conversation with Climate Scientists and Economists
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MIT 14.04 Intermediate Microeconomic Theory, Fall 2020 Instructor: Prof. Robert Townsend View the complete course: https://ocw.mit.edu/courses/14-04-intermediate-microeconomic-theory-fall-2020/ YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63wnrKge9vllow3Y2OOOKqF Prof
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Sylvia Frühwirth-Schnatter: Bayesian econometrics in the Big Data Era
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Macroeconomic impacts of stranded fossil fuel assets - Mercure - Workshop 3 - CEB T3 2019
Mercure (University of Exeter) / 05.12.2019 Macroeconomic impacts of stranded fossil fuel assets ---------------------------------- Vous pouvez nous rejoindre sur les réseaux sociaux pour suivre nos actualités. Facebook : https://www.facebook.com/InstitutHenriPoincare/ Twitter :
From playlist 2019 - T3 - The Mathematics of Climate and the Environment
Trigonometry 7 The Cosine of the Sum and Difference of Two Angles
A geometric proof of the cosine of the sum and difference of two angles identity.
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The dispersion of data by means of the standard deviation.
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Extra Math Lecture 2: The mean of the binomial distribution
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While machine learning has recently had dramatic successes, there is a large class of problems that it will never be able to address on its own. To test a policy proposal, for example, often requires understanding a counterfactual scenario that has never existed in the past, and that may
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