ökonometrie at Humboldt-Universität Zu Berlin | Flashcards & Summaries

ökonometrie at Humboldt-Universität zu Berlin

Flashcards and summaries for ökonometrie at the Humboldt-Universität zu Berlin

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Functional Form and Time Series 

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Directed Acrylic Graph (DAG)

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Reporting Regression Results

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Hypothesis testing Dummy Variables

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Panel/Longitudinal Data

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Dummy Variable Trap

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Multiplying y or x by a constant

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Difference Between errors (u)and residuals (u hat)

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Ceteris Paribus

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What is the Relationship between SST,SSE and SSR?

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Cross Sectional Data

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OLS Regression Line

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Exemplary flashcards for ökonometrie at the Humboldt-Universität zu Berlin on StudySmarter:

ökonometrie

Functional Form and Time Series 

  • functional forms as discussed in MLR work as before
  • dummy variables work as before

ökonometrie

Directed Acrylic Graph (DAG)

  • complete set off all causal relationships in a graph with arrows
  • help explain OMV, reverse causality and conditioning on colliders
  • arrows represent direct effect

ökonometrie

Reporting Regression Results

  • coefficient estimates
  • corresponding standard errors
  • number of observations
  • R-squared 


Single equation: Equation Form

Different specifications: Table

ökonometrie

Hypothesis testing Dummy Variables

  • same as usual
  • perform hypothesis test on coefficients of dummy variables 

ökonometrie

Panel/Longitudinal Data

  • consists of time series for each cross sectional data in the set

ökonometrie

Dummy Variable Trap

  • if the regression model is to have j intercepts for j different groups w need to include j-1 dummy vars.
  • otherwise violation of MLR.3
  • base group: overall intercept of model
  • dummy variable coefficients: differences in intercepts between this group and base group

ökonometrie

Multiplying y or x by a constant

  • if y is multiplied by c then intercept and slope estimate are multiplied by c
  • if x is multiplied by c then slope is divided by c


  • if y+m intercept changes by m

  • if m is added to x the intercept changes by m*β1, slope does not change

ökonometrie

Difference Between errors (u)and residuals (u hat)

  • errors occur in poulation and are never actually observed
  • residuals occur in our model and are computed from the data

ökonometrie

Ceteris Paribus

All other factors fixed

ökonometrie

What is the Relationship between SST,SSE and SSR?

SST = SSE + SSR


  • total Variation is the sum of the explained and unexplained variation

ökonometrie

Cross Sectional Data

  • consists of random sample taken at a given time
  • order of data irrelevant

ökonometrie

OLS Regression Line

  • once we have OLS Estimators we form OLS regression line
  • estimated version of population regression function
  • we now have a predicted value for y for each value of x (fitted value)


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