Regression Analysis. The use of regression analysis for demand estimation can be further
illustrated by expanding the Electronic Data Processing (EDP), Inc., example
described in the chapter. Assume that the link between units sold and personal
selling ex
Stata Homework on Heteroskedasticity
ECONOMETRICS
MS ECONOMICS, AUA
Instructor: Aleksandr Grigoryan
This Stata homework will deal with heteroscedasticity, in particular with: a) robust standard errors; b) the test used to detect
heteroscedasticity; c) Com
Quiz 2
Econometrics MSE 2016
MS Economics, AUA 2016
Exercise 1. Suppose that b is the least squares coefficient vector in the regression of Y on
X and that c is any other K 1 vector. Prove that the difference in the two sums of squared
residuals is (Y Xc)
Asymptotic properties
We now look at properties of the OLS estimator that hold in large samples, or more precisely, as the sample size N tends to innity, keeping the
number of explanatory variables K xed
The idea is that, at least for models estimated usi
A
A.1
Conditional expectation
Review of conditional densities, expectations
We start with the continuous case. This is sections 6.6 and 6.8 in the book. Let X, Y be
continuous random variables. We defined the conditional density of X given Y to be
fX,Y (x
Economic Growth Theory
Vahagn Jerbashian
Lecture notes
This version: February 2, 2016
Contents
Empirical observations; Kaldor stylized facts of growth; Neoclassical production
function; The Solow-Swan model
4
Growth matters over long time periods . . . .
Takashi Yamano
Fall Semester 2009
Lecture Notes on Advanced Econometrics
Lecture 6: OLS Asymptotic Properties
Consistency (instead of unbiasedness)
First, we need to define consistency. Suppose Wn is an estimator of on a sample of Y1,
Y2, , Yn of size n.