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Econometrics: Chapter 1 and 2 - Key Concepts and Definitions, Exercises of Financial Economics

A concise overview of key concepts and definitions from chapters 1 and 2 of an econometrics textbook. It covers fundamental terms like dependent and independent variables, regression analysis, and stochastic error terms. The document also outlines the steps involved in econometric analysis, including model formulation, hypothesis testing, and data collection. It further explores different types of data, such as cross-sectional, time series, and panel data, and explains the concept of degrees of freedom and estimators.

Typology: Exercises

2024/2025

Available from 02/26/2025

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Econometrics - Chapter 1 and 2
Constant/intercept✔✔ indicates the vale of Y when X equals zero
Cross-sectional✔✔ all the observations are from the same point in time and represent
different individual economic entities from that same point in time
Dependent variable✔✔ variable that changes due to independent variables
Estimated regression equation✔✔ quantified version of the theoretical regression
equation
Expected value✔✔ deterministic component, indicates the value of Y that is determined
by a given value of X, which is assumed to be nonstochastic
Independent variable✔✔ variable that changes
Linear✔✔ if plotting the function in terms of X and Y generates a straight line
Multivariate regression model✔✔ more than one independent variable
Regression analysis✔✔ A statistical technique that attempts to "explain" movements in
one variable as a function of movements in a set of other variables
Residual✔✔ the difference between the estimated value of the dependent variable and the
actual value of the dependent variable
Slope coefficient✔✔ Indicates the amount that Y will change when X increases y one
unit
Stochastic error term✔✔ a term that is added to a regression equation to introduce all of
the variation in Y that cannot be explained by the included Xs
The uses of econometrics✔✔ Describe, hypothesis, forcast
Steps in econometrics analysis✔✔
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Econometrics - Chapter 1 and 2 Constant/intercept✔✔ indicates the vale of Y when X equals zero Cross-sectional✔✔ all the observations are from the same point in time and represent different individual economic entities from that same point in time Dependent variable✔✔ variable that changes due to independent variables Estimated regression equation✔✔ quantified version of the theoretical regression equation Expected value✔✔ deterministic component, indicates the value of Y that is determined by a given value of X, which is assumed to be nonstochastic Independent variable✔✔ variable that changes Linear✔✔ if plotting the function in terms of X and Y generates a straight line Multivariate regression model✔✔ more than one independent variable Regression analysis✔✔ A statistical technique that attempts to "explain" movements in one variable as a function of movements in a set of other variables Residual✔✔ the difference between the estimated value of the dependent variable and the actual value of the dependent variable Slope coefficient✔✔ Indicates the amount that Y will change when X increases y one unit Stochastic error term✔✔ a term that is added to a regression equation to introduce all of the variation in Y that cannot be explained by the included Xs The uses of econometrics✔✔ Describe, hypothesis, forcast Steps in econometrics analysis✔✔

  1. Formulate a precise questions 2.develop an economic model
  2. turn the economic model into an econometric model
  3. state the hypothesis in terms of the parameter of model 5.collect data 6.estimate the model - stata
  4. Test the hypothesis Experimental data (won't be doing) ✔✔ the researcher designs the experiment and collect data from it Non-experimental data✔✔ - data collected passivel from other sources
  • researchers do not design anything Time series data✔✔ take one person/state/country and follow overtime Pooled cross section: ✔✔ pooled data from different cross sections
  • do not have to have same individual/state/country different times Panel Data✔✔ Data collected over the same individuals overtime (richest form of data) Balanced panel✔✔ Same number of observations on each variable Unbalanced panel✔✔ Not same # of observation on each variable Ceteris Paribus✔✔ - all else equal
  • the other variables in the equation stay the same Degrees of freedom✔✔ the excess of the number of observations over the number of coefficients estimated Estimator✔✔ a mathematical technique that is applied to a sample of data to produce a real-world numerical estimate of the true population regression coefficient Multivariate regression coefficient✔✔ indicates the change in the dependent variable associated with a one-unit increase in the independent variable in question, holding constant the other independent variables in the equation