Econometrics: Econometrics Unleashed, Mastering Data-Driven Economics

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What is Econometrics

The field of econometrics involves the utilization of statistical techniques to analyze economic data with the objective of providing empirical evidence to economic relationships. More specifically, it refers to "the quantitative analysis of actual economic phenomena based on the concurrent development of theory and observation, related by appropriate methods of inference." In a textbook that provides an introduction to economics, econometrics is described as a tool that enables economists to "sift through mountains of data to extract simple relationships." In the field of econometrics, Jan Tinbergen is identified as one of the two founding fathers. That other individual, Ragnar Frisch, was also the one who first used the phrase in the manner that it is used today.


How you will benefit


(I) Insights, and validations about the following topics:


Chapter 1: Econometrics


Chapter 2: Least squares


Chapter 3: Gauss-Markov theorem


Chapter 4: Regression analysis


Chapter 5: Consistent estimator


Chapter 6: Instrumental variables estimation


Chapter 7: Probit model


Chapter 8: Ordinary least squares


Chapter 9: Simple linear regression


Chapter 10: Seemingly unrelated regressions


Chapter 11: Breusch-Pagan test


Chapter 12: Cochrane-Orcutt estimation


Chapter 13: Generalized least squares


Chapter 14: Statistical model specification


Chapter 15: Heteroskedasticity-consistent standard errors


Chapter 16: Heckman correction


Chapter 17: Polynomial regression


Chapter 18: Error correction model


Chapter 19: Errors-in-variables models


Chapter 20: Linear regression


Chapter 21: Homoscedasticity and heteroscedasticity


(II) Answering the public top questions about econometrics.


(III) Real world examples for the usage of econometrics in many fields.


(IV) Rich glossary featuring over 1200 terms to unlock a comprehensive understanding of econometrics. (eBook only).


Who will benefit


Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of econometrics.

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