Course portfolio
Course portfolio
Macroeconomics describes the aggregate economic behavior as a whole, instead of looking at individual activities. Key indicators include GDP, unemployment rate, inflation and interest rates.
Macroeconomics studies the aggregate economic activities. It is sometimes referred to as aggregate economics. Major topics in macroeconomics include the GDP/national income, unemployment rate, price indices, output, consumption, inflation, saving, investment, international trade, finance and their interactions within an economy.
This course introduces statistical methods and econometric techniques for analyzing economic relationships. Topics include probability, probability distributions, hypothesis testing, correlation, and regression analysis. Emphasis is placed on understanding uncertainty, interpreting trends, and making economic predictions. The course includes practical applications using real-world data and Excel for estimation and reporting.
This fully online course, delivered through UNM Canvas, introduces major forecasting methods, including time series regression, decomposition, exponential smoothing, and ARIMA models. Students will gain hands-on experience using R, a widely used, open-source statistical software, to perform forecasts and analyze data. Application-oriented examples will reinforce practical understanding, equipping students with the tools to apply forecasting techniques effectively in real-world scenarios.
This course provides a foundation in probability and statistical theories relevant to econometrics, including statistical inference and large-sample asymptotics. It covers the classical OLS regression, including parameter estimation, hypothesis testing, and the implications of relaxing standard assumptions. The purpose is to prepare a solid foundation for more advanced topics in the next two econometric core courses (Econ 509 and Econ 510).