Econometria 1a mitad VF

In OLS, the zero conditional mean property states that the expected value of the error term is 0 for any value of the explanatory variable. True. False.

Homoscedasticity means that the variance of the error term is not constant across all observations. True. False.

The stages of econometric modeling include determination of a research goal, specification of variables, and estimation of parameters. True. False.

Spatial data and time series data are the same. True. False.

Econometric modeling and the building of an econometric model are identical processes. True. False.

Selection of explanatory variables is solely based on statistical significance. True. False.

Hellwig's method prefers candidate variables that are weakly correlated with the dependent variable. True. False.

The source approach to choosing a functional relationship is based on empirical data analysis. True. False.

OLS (Ordinary Least Squares) aims to maximize the sum of squared errors. True. False.

The Gauss-Markov Theorem guarantees that OLS estimators are the best linear unbiased estimators (BLUE) under certain assumptions. True. False.

In the matrix form of OLS, 'Y' represents the vector of structural parameters. True. False.

The coefficient of determination (R-squared) measures the proportion of variation in the independent variable explained by the dependent variable. True. False.

An R-squared value of 0.95 is generally considered good for forecasting purposes. True. False.

The intercept (beta zero) in a linear model represents the predicted value of Y when X is zero. True. False.

A T-statistic equal to or greater than the critical value leads to rejecting the null hypothesis. True. False.

P-values are used to avoid the arbitrary determination of a significance level. True. False.

Autocorrelation of residuals means that the error terms are independent of each other. True. False.

Omitted variables can cause autocorrelation of residuals. True. False.

Autocorrelation of residuals makes OLS estimators inefficient but still unbiased. True. False.

Heteroskedasticity means that the variance of the error term is constant across all observations. True. False.

Multicollinearity is a problem when independent variables are highly correlated with each other. True. False.

The Cobb-Douglas production function can be transformed into a group productivity function by dividing by the number of employees. True. False.

In the trend function Y = alpha0 + alpha1 + ut, alpha1 represents a constant trend increase per period. True. False.

Forecasting involves calculating the future value of the dependent variable based on an econometric model. True. False.

Unbiased prediction means that the forecast is guaranteed to be exactly equal to the actual future value. True. False.

A key assumption for econometric prediction is the ability to foresee the values of explanatory variables in the prediction horizon. True. False.

The stability of the functional relationship is not an important assumption for forecasting. True. False.

Error ex ante measures the difference between the forecast and the actual observed value after the event. True. False.

Error ex post quantifies the difference between the forecasted value and the observed value. True. False.

In OLS, the functional relationship between Y and X is always an exact linear equation with no error term. True. False.

A sufficient number of observations (n > k) is an assumption for Simple Linear Regression (SLR). True. False.

SLR.4 states that the error term u has a non-zero expected value given the explanatory variable. True. False.

SLR.5 (homoscedasticity) assumes that the variance of the error term is constant given the explanatory variable. True. False.

The main goal of econometric model verification is to assess its quality and reliability. True. False.

Regression of Type I describes an exact functional relationship between variables. True. False.

The error term in OLS is assumed to be uncorrelated with the explanatory variables. True. False.

Heteroskedasticity implies that the variance of the error term is the same for all observations. True. False.

The choice of functional relationship can be based on economic theory or empirical data. True. False.

The T-test is used to test the statistical significance of individual regression coefficients. True. False.

The DW test is used to detect multicollinearity. True. False.

Econometric modeling is a process that only involves statistical calculations. True. False.

When assuming homoscedasticity, the variance of the error term is constant for all values of X. True. False.

A higher R-squared value always indicates a better model. True. False.

The interpretation of coefficients in a linear model assumes a 'ceteris paribus' condition. True. False.

If the DW statistic is close to 2, it suggests no autocorrelation. True. False.

Misspecification of the model can lead to autocorrelation. True. False.

OLS estimators are BLUE if the Gauss-Markov assumptions are met. True. False.

The definition of forecasting includes inferring the future based on an econometric model. True. False.

If the sample size is smaller than the number of parameters, OLS can still be estimated. True. False.