INTRODUCTION TO ECONOMETRICS II ECO 306 NOUN 14
NATIONAL OPEN UNIVERSITY OF NIGERIA Course Code: ECO 356 Course Title: Introduction to Econometrics II Course Developer/Writer: Dr. Adesina-Uthman GA. Faculty of Social Sciences Department of Economics National Open University of Nigeria.
and OKOJIE, Daniel Esene School of Post Graduate Studies (SPGS) University of Lagos, Akoka-Yaba Lagos.
ContentEditor: Prof. Ismael Ogboru Department of Economics,
University of Jos, Jos,
INTRODUCTION TO ECONOMETRICS II ECO 306 NOUN 16
INTRODUCTION TO ECONOMETRICS II CONTENTS PAGES Module 1: Sampling Theory, Variance and Correlation Unit 1: Random variables and sampling theory Unit 2:
Covariance and Variance Unit
3:
CorrelationCoefficient...........................................................................................
...20
Module 2: Simple Equation Regression Models Unit 1: Simple Regression Analyses Unit 2: Properties of the regression coefficients and hypothesis testing Unit 3: Multiple
regression analysis and Multicollinearity....................................................54 Unit 4: Transformations of Variables Unit 5: Dummy Variables Unit 6: Specification of regression variables A preliminary skirmish
Module 3: Heteroscedasticity/Heteroskedasticity -
Heteroscedasticity and Its Implications
…......................................................76
- Solution to
Heteroscedasticity
Problem - Other Tests Consequences of
Heteroscedasticity…......................................84
INTRODUCTION TO ECONOMETRICS II ECO 306 NOUN 17
Module 4: Autocorrelation, Error and Econometric Modelling Unit 1: Stochastic Regression
and measurement errors Unit 2:
Autocorrelation......................................................................................................
....93 Unit 3: Econometric Modelling and Models Using Time Series Data
Module 5: Simultaneous Equation, Binary Choice, and Maximum Likelihood Estimation Unit 1: Simultaneous Equations Unit 2: Binary Choice and Maximum Likelihood Estimation
MODULE 1 SAMPLING THEORY, VARIANCE, AND CORRELATION The general aim of this module is to provide the student with a thorough understanding of the basic statistical tools that will be needed for regression analyses in the subsequent module. As well as random
variables and sampling theory,
Covariance, variance, and correlation are to bedemystified for proper understanding. By the end of this module,students would have been able to understand the basic parts of regression analysis. The units to be studied in this module are
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