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