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Lecture Undergraduate econometrics, 2nd edition - Chapter 16: Regression with time series data

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The analysis of time series data is of vital interest to many groups, such as macroeconomists studying the behavior of national and international economies, finance economists who study the stock market, agricultural economists who want to predict supplies and demands for agricultural products. We introduced the problem of autocorrelated errors when using time series data in chapter 12. In chapter 15 we considered distributed lag models. In both of these chapters we made implicit stationary assumptions about the time series data. | Lecture Undergraduate econometrics, 2nd edition - Chapter 16: Regression with time series data

TÀI LIỆU LIÊN QUAN

Lecture Undergraduate econometrics, 2nd edition - Chapter 1: An introduction to econometrics

Lecture Undergraduate econometrics, 2nd edition - Chapter 1: An introduction to econometrics

Lecture Undergraduate econometrics, 2nd edition - Chapter 1: An introduction to econometrics

Lecture Undergraduate econometrics, 2nd edition - Chapter 2: Some basic probability concepts

Lecture Undergraduate econometrics, 2nd edition - Chapter 3: The simple linear regression model: Specification and estimation

Lecture Undergraduate econometrics, 2nd edition - Chapter 4: Properties of the least squares estimators

Lecture Undergraduate econometrics, 2nd edition - Chapter 6: The simple linear regression model

Lecture Undergraduate econometrics, 2nd edition - Chapter 7: The multiple regression model

Lecture Undergraduate econometrics, 2nd edition - Chapter 8: The multiple regression model

Lecture Undergraduate econometrics, 2nd edition - Chapter 9: Dummy (binary) variables
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