Exam 18: The Theory of Multiple Regression
Exam 1: Economic Questions and Data17 Questions
Exam 2: Review of Probability71 Questions
Exam 3: Review of Statistics63 Questions
Exam 4: Linear Regression With One Regressor65 Questions
Exam 5: Regression With a Single Regressor: Hypothesis Tests and Confidence Intervals59 Questions
Exam 6: Linear Regression With Multiple Regressors65 Questions
Exam 7: Hypothesis Tests and Confidence Intervals in Multiple Regression65 Questions
Exam 8: Nonlinear Regression Functions62 Questions
Exam 9: Assessing Studies Based on Multiple Regression65 Questions
Exam 10: Regression With Panel Data50 Questions
Exam 11: Regression With a Binary Dependent Variable50 Questions
Exam 12: Instrumental Variables Regression50 Questions
Exam 13: Experiments and Quasi-Experiments50 Questions
Exam 14: Introduction to Time Series Regression and Forecasting50 Questions
Exam 15: Estimation of Dynamic Causal Effects50 Questions
Exam 16: Additional Topics in Time Series Regression50 Questions
Exam 17: The Theory of Linear Regression With One Regressor49 Questions
Exam 18: The Theory of Multiple Regression50 Questions
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Assume that the data looks as follows:
Y =
,U =
,X =
,and β = (β1)
Using the formula for the OLS estimator
= (
X)-1
Y,derive the formula for
1,the only slope in this "regression through the origin."







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The difference between the central limit theorems for a scalar and vector-valued random variables is
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In the case when the errors are homoskedastic and normally distributed,conditional on X,then
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Write an essay on the difference between the OLS estimator and the GLS estimator.
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A joint hypothesis that is linear in the coefficients and imposes a number of restrictions can be written as
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Let there be q joint hypothesis to be tested.Then the dimension of r in the expression Rβ = r is
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In order for a matrix A to have an inverse,its determinant cannot be zero.Derive the determinant of the following matrices:
A =
B =
X'X where X = (1 10)


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To prove that the OLS estimator is BLUE requires the following assumption
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Give several economic examples of how to test various joint linear hypotheses using matrix notation.Include specifications of Rβ = r where you test for (i)all coefficients other than the constant being zero, (ii)a subset of coefficients being zero,and (iii)equality of coefficients.Talk about the possible distributions involved in finding critical values for your hypotheses.
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Consider the following symmetric and idempotent Matrix A: A = I -
ιι' and ι =
a.Show that by postmultiplying this matrix by the vector Y (the LHS variable of the OLS regression),you convert all observations of Y in deviations from the mean.
b.Derive the expression Y'AY.What is the order of this expression? Under what other name have you encountered this expression before?


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