Statistics 520
P. Shaman
Fall 2013
Notes 11
Readings. Finish reading Chapter 6 in W. These notes cover Sections 6.3 and 6.5 of the book.
In MHE read Section 5.2.
Sampling schemes other than random samples. To date most of our discussion has focused
on met
Statistics 520
P. Shaman
Fall 2013
Notes 12
Overview and readings. These notes address system-wide OLS estimation of a system of linear
equations. Applications in this framework are for the seemingly unrelated regressions (SUR)
model and the linear panel
Statistics 520
P. Shaman
Fall 2013
Notes 7
Readings. Read Section 4.4 in W. It deals with the bias in OLS estimation when there is
measurement error. Measurement error can be in the response variable, and it can be in the
explanatory variables. Well look
Statistics 520
P. Shaman
Fall 2013
Notes 9
Readings. Finish reading Chapter 5 of W. These notes address Sections 5.2.3, 5.2.4 and
5.2.5, and they present an example. In the next set of notes Ill present some final
comments about 2SLS estimation and turn t
Statistics 520
P. Shaman
Fall 2013
Notes 8
Readings. Read Chapter 5 in W. These notes cover Sections 5.1, 5.2.1, 5.2.2, 5.2.4 and 5.2.5.
In the next set of notes Ill go back to cover Section 5.2.3, resume with 5.2.6, and present
examples. Chapter 5 deals
Statistics 520
P. Shaman
Fall 2013
Notes 3
Readings. Read sections 4.1 and 4.2 in W (for now skip Section 4.2.4). These deal with
ordinary least squares (OLS) estimation of the single equation linear model. Model
assumptions are presented, and the asympto
Statistics 520
P. Shaman
Fall 2013
Notes 10
Readings. Finish reading Chapter 5 of W, and read Chapter 6. These notes cover
Sections 5.2.6 and 5.3, and Section 6.1. In MHE read Section 4.6.4.
Difficulties posed by 2SLS estimation. There are two topics to d
Statistics 520
P. Shaman
Fall 2013
Notes 4
Readings. Section 4.2.3 in W, which deals with calculation of standard errors of estimates when
there is heteroscedasticity. Ill calculate standard errors in Example 2 of Notes 3 assuming
heteroscedastic data. In
Statistics 520
P. Shaman
Fall 2013
Notes 5
Readings. Read Section 12.8 in W, which deals with simulation and resampling. In
MHE bootstrapping is discussed on pages 300302. Also, read the remainder of Section
8.1 in MHE, which addresses the calculation of
Statistics 520
P. Shaman
Fall 2013
Notes 6
Readings. Section 4.3 in W. The section deals with omitted explanatory variables in the context
of OLS estimation. Often the reason a variable is omitted from a regression calculation is that it
has not been or c
Statistics 520
P. Shaman
Fall 2013
Notes 2
Readings. Read chapter 3 in W. The subject matter is asymptotic theory, and it is drawn from
probability theory and statistical theory. The important topics are big oh and little oh notation,
convergence in proba
STATISTICS
(WH) cfw_STAT
101. Introductory Business Statistics. (C) Staff.Prerequisite(s): MATH 104 or equivalent;
successful completion of STAT 101 is prerequisite to STAT 102.
Data summaries and descriptive statistics; introduction to a statistical comp