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