A) Regression analysis B) Decision trees C) Game theory D) Hypothesis testing
A) Correlation shows a relationship between variables, causation implies one variable directly affects the other B) Causation implies a more reliable relationship than correlation C) Correlation implies stronger relationships than causation D) Correlation is the same as causation in econometrics
A) The study of data collected over time B) The analysis of data from a single point in time C) The classification of economic variables D) A method for predicting future economic trends
A) The residuals are normally distributed B) The model is linear C) The error terms are uncorrelated D) The variance of the error terms is constant
A) Endogeneity B) Autocorrelation C) Multicollinearity D) Heteroscedasticity
A) A variable used for testing autocorrelation B) A variable with continuously varying values C) A variable that takes on the value of 0 or 1 to represent categories D) A variable used for nonlinear regression only
A) A measure of uncertainty in regression analysis B) A type of autocorrelation C) When the variance of the error terms is not constant D) The presence of outliers in data
A) Cross-sectional data is used for forecasting, time series data for analysis B) Cross-sectional data is continuous, time series data is categorical C) Cross-sectional data is collected at a single point in time, time series data is collected over time D) Time series data represents entities, cross-sectional data represents time
A) To classify economic data B) To estimate the relationship between dependent and independent variables C) To predict future economic trends D) To test for endogeneity
A) Difference-in-differences. B) Card (1999). C) Regression discontinuity design. D) Ordinary least squares.
A) Focus solely on historical data B) Ignore statistical analysis in economic studies C) Create complex theoretical models without data D) Extract simple relationships from large datasets
A) The counterfactual must be known. B) Expert consensus. C) Advanced statistical software. D) A large dataset.
A) Econometrica B) Econometric Reviews C) The Review of Economics and Statistics D) The Journal of Applied Econometrics
A) Random samples. B) Qualitative insights. C) The counterfactual. D) Historical trends.
A) Specification bias B) Collinearity C) Two-way causality D) P-hacking
A) Ordinary Least Squares B) Operational Least Series C) Overlapping Line Segments D) Optimal Linear Solutions
A) Generalized method of moments B) Bayesian statistics C) Ordinary least squares (OLS) D) Maximum likelihood estimation
A) Henry Ludwell Moore B) Jan Tinbergen C) Ragnar Frisch D) Udny Yule
A) Unbiasedness B) Consistency C) Bias D) Efficiency
A) Sir William Petty's Political Arithmetick B) Vilfredo Pareto's Manual of Political Economy C) Henry Ludwell Moore's Synthetic Economics D) Francis Ysidro Edgeworth's Mathematical Psychics
A) Consistency B) Bias C) Unbiasedness D) Efficiency
A) Generalized method of moments B) Bayesian statistics C) Classical or frequentist approaches D) Ordinary least squares (OLS)
A) Time-series analysis B) Randomized controlled trials C) Structural causal modeling D) Bayesian econometrics
A) By using only historical data. B) By ignoring the critique entirely. C) By increasing the sample size of their studies. D) By adopting quasi-experimental methodologies. |