Description
The goal of the (individual) project is to have students apply the tools of regression analysis to a problem of interest. It could be an economic or financial issue that you would like to understand in more detail or any other context where the LRM can be applied. The first step is to identify a question of interest, in particular a Y (dependent) variable that you would like to describe and some (independent) variables X that you use to explain Y . It is important that you are able to discuss what economic theory (or common sense) would suggest the relationship between Y and the Xs should be. This will give you a framework to interpret the regression results. Remember that: cross-sectional data consists of different units observed at the same point in time (eg, a sample of workers in 2019); in this case your goal is to explain why Y is different across units time series data is when we track one variable over time (eg, GDP from 1950 to 2019 at the quarterly frequency); here the goal is to explain the fluctuations over time of the variable
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