# Summary: Statistical Modeling

• This + 400k other summaries
• A unique study and practice tool
• Never study anything twice again
• Get the grades you hope for
• 100% sure, 100% understanding
Remember faster, study better. Scientifically proven.
PLEASE KNOW!!! There are just 66 flashcards and notes available for this material. This summary might not be complete. Please search similar or other summaries.

## Read the summary and the most important questions on Statistical Modeling

• ### 1 Econometrics - Linear Regression

This is a preview. There are 12 more flashcards available for chapter 1

• #### What is a log(dependentvariable)?

Says something about the percentage change
• #### Why can linear models contain squares?

Linear model means linear in the parameters
• #### What does OLS stand for?

Ordinary Leas Squares
• #### Intepret the zero conditional mean

The data doesn't provide systematic information about error term u
• #### What are exogenous variables?

Explanatory variables uncorrelated with error term
• #### When can you omit a variable in the simple regression?

1. If x2 is superfluous (partial effect of x2 on y is 0) : b2 = 0 or
2. If x1 and x2 are uncorrelated
• ### 1.1 Hypothesis Testing

This is a preview. There are 2 more flashcards available for chapter 1.1

• #### What is a nested model?

A model in a model
• #### What does it mean when null hypothesis is overwhelmingly rejected for F-test?

Three variables are jointly significant
Werent significant individually
Multicollinearity between them
• #### What package to use homoskedasticity?

Eicker-Huber-White
• ### 1.2 Reporting Statistics and Results

• #### What shouldn't you do when reporting regressions?

Don't report multiple statistics that say roughly the same thing. t-statistic and standard errors = superfluous
PLEASE KNOW!!! There are just 66 flashcards and notes available for this material. This summary might not be complete. Please search similar or other summaries.