From the course: Data, Economic Modeling, and Forecasting with Stata
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Data preparation and selection - Stata Tutorial
From the course: Data, Economic Modeling, and Forecasting with Stata
Data preparation and selection
- [Jason] Okay, so this is the actual data we're going to be pulling into Stata. In the top row you see descriptions of variables, and in the second row, you see these abbreviations. When we pull the data into the Stata data editor, we're going to leave the first row behind, and we're going to grab row two all the way down. This includes monthly data from July 2007, until October 2020. And what are we pulling in? Well actually, we're looking at aluminum prices, which are columns B through H, as well as manufacturing data in columns I through L. The dependent variables are related to aluminum prices. Because logically, there is not only a correlation between aluminum prices and manufacturing, but there's a causal relationship. And it's not that aluminum prices cause manufacturing, but it's that manufacturing strength or weakness can impact aluminum prices. So the dependent variables are all related to price of aluminum,…
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Contents
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Overview and enter data1m 58s
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Data preparation and selection2m 57s
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Inputting data1m 24s
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Mean and summary statistics4m 35s
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Standard deviation and SE4m 33s
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Correlation3m 9s
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Key output validity measures2m 1s
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Univariate model2m 41s
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Multivariate model3m 35s
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Appling univariate model to forecast2m 58s
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Saving and files54s
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