Econometrics: Econometrics Unleashed, Mastering Data-Driven Economics
關於這本電子書
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.
