Econometrics - PowerPoint PPT Presentation

This material delves into the fundamentals of econometric theory for games, focusing on estimation in static and dynamic games of incomplete information, as well as discrete static games of complete information, auction games, and algorithmic game theory. It covers basic tools, terminology, and main

10 views • 31 slides

Discover the complexities of nonlinear relationships through polynomials, dummy variables, and interactions between continuous variables in econometrics. Delve into cost and product curves, average and marginal cost curves, and their implications in economic analysis. Understand the application of d

3 views • 34 slides

Mallika Srinivasan is an Indian industrialist and CEO of TAFE, with a remarkable journey from studying Econometrics to taking over her family business. Despite initial challenges and skepticism, Mallika's determination and expertise led TAFE to phenomenal growth and success, making it a top choice f

1 views • 7 slides

Econometrics and machine learning intersect in decision-making scenarios where causal and counterfactual questions arise. This talk explores the relationship between the two fields, highlighting the identification of causal quantities and the flexible estimation techniques employed. Examples demonst

3 views • 53 slides

Exploring the concept of sampling error, deriving properties of OLS estimators, and examining the accuracy of sample estimates in regression analysis. The focus is on unbiasedness, consistency, and standard error calculations in estimating population parameters using random samples. Real-life exampl

2 views • 24 slides

This paper presents an in-depth exploration of financial econometrics, mathematics, statistics, and machine learning in the context of applications in finance. Covering topics from single equation regression methods to machine learning applications, the content delves into various aspects of financi

2 views • 67 slides

This chapter delves into hypothesis testing and confidence intervals in econometrics, covering topics such as testing regression coefficients, forming confidence intervals, using the central limit theorem, and presenting regression model results. It explains how to establish null and alternative hyp

1 views • 24 slides

Explore the world of Vector Autoregressions (VARs) in econometrics with Tony Yates. This lecture provides an overview of VARs, including motivation, estimation techniques, and key concepts such as identification and factors models. Learn about the applications of VARs in macroeconomics and the resou

5 views • 54 slides

Endogeneity in econometrics can create challenges such as omitted variables bias, measurement error, simultaneous causality, and using lagged values. This can affect the accuracy of models. One way to address this is through instrumental variable estimation methods. These methods help deal with endo

2 views • 42 slides

Hypothesis testing is vital in econometrics to evaluate statements about population parameters. The null hypothesis assumes no difference, while the alternative hypothesis offers a different perspective. Different types of errors—such as Type I and Type II errors—can occur during hypothesis test

2 views • 11 slides

Explore the key concepts of the Multiple Regression Model, including model specification, parameter estimation, hypothesis testing, and goodness-of-fit measurements. Assumptions and properties of the model are discussed, highlighting the relationship between variables and the econometric model. Vari

3 views • 31 slides

Dr. Woraphon Yamaka offers a comprehensive course on Big Data Analysis in Economics at the Faculty of Economics, Chiang Mai University. The course covers topics such as Data Science, Econometrics, Machine Learning, R programming, Data Visualization, Symbolic Data Analysis, Machine Learning Modeling,

0 views • 5 slides

Dutch policy impact assessment relies on a mix of RCTs, natural experiments, and advanced econometrics to evaluate the effectiveness of interventions. Dr. Theo Roelandt, Chief Analyst at the Ministry of Economic Affairs & Climate Policies, emphasizes the importance of evidence-based policymaking in

0 views • 16 slides

Explore the methodology behind ROI studies in advertising effectiveness, led by Sally Dickerson. Learn about budget optimization, econometric models, media mix analysis, and the role of econometrics in identifying sales-driving factors.

1 views • 15 slides

The aim is to facilitate the communication of regression results in an understandable manner, focusing on marginal effects and means. Explore the differences between marginal mean and conditional mean in statistics and econometrics. Learn how to calculate and interpret marginal effects in statistica

0 views • 29 slides

This lecture covers Vector Autoregressions (VARs), including motivation, estimation methods (MLE, OLS, Bayesian), identification criteria, factor models, TVP VAR estimation, and useful sources in the field. It also discusses matrix/linear algebra prerequisites and applications in macroeconomics. The

0 views • 51 slides

Econometrics is the application of statistical methods to analyze economic data. It involves estimating relationships between economic variables, testing theories and hypotheses, forecasting economic variables, and evaluating government and business policies. Econometric analysis includes steps like

0 views • 21 slides

Eurostat Lightning Introduction by Dario Buono at a Time Series Meeting in March 2018. Eurostat, the Statistical Office of the European Union, with about 700 staff of 28 nationalities, focuses on Euro-zone and EU aggregates harmonization, best practices, guidelines, trainings, and international coop

0 views • 9 slides

Concepts of null and alternative hypotheses, errors in hypothesis testing, and types of hypotheses in econometrics. Learn how to test the validity of hypotheses using statistical techniques like Chi-Square Test and make informed decisions based on sample results.

0 views • 8 slides

Delve into the world of auction theory, identification, and estimation of value distributions in econometrics. Explore non-parametric identification and estimation techniques in first-price auctions. Gain insights into algorithmic game theory and econometrics with a focus on structural estimation in

0 views • 26 slides

This material delves into Bayesian econometric analysis of panel data, exploring Bayesian econometric models, relevant sources, software tools, philosophical underpinnings, objectivity vs. subjectivity, and paradigms in classical and Bayesian approaches. It discusses the use of new information to up

0 views • 58 slides

Explore the definition, scope, and comparisons of econometrics with economic theory, mathematical economics, and statistics. Learn how econometrics provides numerical values for economic relationships and verifies economic theories through the integration of economics, mathematics, and statistics.

1 views • 135 slides

Learn about addressing endogeneity concerns in non-linear models in econometrics, focusing on projects involving employee departure and charitable giving. Discover the challenges faced with non-linear models like Hazard and Hurdle models and explore ways to handle endogeneity. Gain insights into con

0 views • 70 slides

Explore the concept of statistical relationship in econometrics, focusing on characterizing the relationship between variables of interest and related ones. Learn about bivariate distribution, conditional moments, sample data analysis, and the impact of conditioning on reducing variation in economet

1 views • 47 slides

Explore the concept of functional form in econometrics through discussions on dummy variables, regression analysis, and analysis of art sales data involving Monet paintings. Understand how variables interact, examine different forms of regression, and delve into the dynamics of art pricing. Addition

0 views • 41 slides

Dive into the fundamentals of econometrics with this comprehensive guide. Learn how to define and conduct an econometric study, explore real-world examples like the impact of good teachers on student outcomes and the applicability of the Law of Demand to electricity, and understand the challenges of

1 views • 19 slides

Explore the concepts of prediction, goodness-of-fit, and modeling issues in econometrics through topics like least squares prediction, measuring goodness-of-fit, and variance analysis. Learn how factors such as uncertainty, sample size, and explanatory variable variation impact forecast error varian

0 views • 25 slides

Learn about the impact of heteroskedasticity on OLS estimations in regression analysis, including causes, consequences, and detection methods. Explore how violations of classical assumptions can affect the validity of inferences made in econometrics.

0 views • 18 slides

Explore the key concepts of regression analysis, focusing on the conditional expectation function and population regression function. Learn about linear PRFs, the importance of stochastic disturbance terms, and the method of Ordinary Least Squares for estimating regression parameters.

0 views • 16 slides

Explore simulation-based estimation techniques in econometrics through topics like conditional log likelihood, likelihood functions for random effects, and obtaining unconditional likelihood using methods like Butler and Moffitt. Discover applications in innovation studies with a Probit model for Ge

0 views • 36 slides

Explore the concepts of random effects model, error components model, convergence of moments, and the distinction between random vs. fixed effects in panel data analysis. Learn from Professor William Greene at the Stern School of Business, Department of Economics.

0 views • 61 slides

Explore Frisch-Waugh theorem, partitioned solution, inverse techniques, and their implications in econometrics for regression analysis and correlation. Understand the algebraic expressions and practical applications related to partial regression coefficients.

0 views • 25 slides