Econometrics moves beyond correlation to determine causal effects using tools like instrumental variables, difference-in-differences, and panel data analysis. Data Types:
Measuring the effect of remote work on productivity, or analyzing the gender wage gap.
Evaluating the impact of COVID-19 lockdowns, minimum wage increases, or tax changes. Econometrics
Analyzing the relationship between GDP growth and CO2 emissions (Environmental Kuznets Curve), or the impact of renewable energy adoption.
Evaluating the impact of monetary policy on inflation/unemployment, or exchange rate volatility on trade. minimum wage increases
Data on one subject over multiple time periods.
The foundation of econometrics ( ), used to estimate how an independent variable ( ) affects a dependent variable ( Econometrics
Data on many subjects at one point in time.