Basics Flashcards

General Understanding

1
Q

Three Major Uses of Econometrics

A

1) Describing Economic Reality
2) Testing Hypotheses about economic theory
3) Forecasting future economic activity

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2
Q

Econometrics is…

A

the quantitative measurement and analysis of actual economic and business phenomenon

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3
Q

Regression Analysis is…

A

statistical technique that attempts to “explain” movements in one variable (the dependent variable) as a function of movements in a set of other variables (independent or explanatory variables) through the quantification of a single equation.

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4
Q

What are three alternative econometric approaches?

A

1) Specifying the models or relationships to be studied
2) Collecting the data to quantify the models
3) Quantifying the models w/data

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5
Q

Stochastic Error Term…

A

is a Term that is added to a regression equation to introduce all the variation in Y that cannot be explained by the included x

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6
Q

Stochastic Error Term is a symbol of…

A

the econometricians ignorance or inability to model all the movements of the dependent variable

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7
Q

Stochastic error term must be present in a regression equation because…

A

there are at least four other sources of variation in Y variation in the included X’s

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8
Q

Key Assumptions about the error Term:

A

1) The variation of e does not change when x changes
2) The problem distribution of e is normal
3) Estimated sum of e is 0
4) The value of e is independent of e for any two observations I and j

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9
Q

Steps to test whether the slope coefficient is significant different from zero:

A

1) Estimate variance, to do this we need to know how widely the error is distributed.
2) We use the available data to estimate
a) compute a confidence interval around slope coefficients where Null = B1 = 0
b) compute the T - statistic for the difference between B1 and 0

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10
Q

OLS

A

Ordinary Least Squares, also known as minimizing squared errors

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11
Q

P-value and T-statistics are unites so…

A

always factor in the difference between substantive vs. statistic difference

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12
Q

TSS=

A

RSS+ESS

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13
Q

Why should we include more than one variable in our regression?

A

1) to improve the precision of our predictions of Y

2) to avoid biased estimate of the co-efficients (“omitted variable bias”)

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14
Q

Multicolinearity

A

is when your Rk2 is big and results in large standard errors (multivariate)

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15
Q

The standard error reported in STATA is…

A

s^2= RSS/(N-(k+1))

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16
Q

for confidence interval do…

A

t-score x std. error + or - t-crit