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LinkedIn Learning

Data, Economic Modeling, and Forecasting with Stata

via LinkedIn Learning

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Overview

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Data analysis, modeling, and forecasting are increasingly important for many jobs. This course shows how to use Stata to easily learn data, modeling, and forecasting basics.

Syllabus

Introduction
  • Be prepared for the data jobs of the future
1. Overview
  • Purpose of modeling in Stata
  • The value of good data and good big data
2. Modeling Basics
  • Statistics and econometrics
  • Univariate and multivariate linear regression models
  • Correlation is not causation
  • Overly tight model fit
  • Models are always wrong
3. Screencap Basics in Stata
  • Overview and enter data
  • Data preparation and selection
  • Inputting data
  • Mean and summary statistics
  • Standard deviation and SE
  • Correlation
  • Key output validity measures
  • Univariate model
  • Multivariate model
  • Appling univariate model to forecast
  • Saving and files
4. Advanced Topics
  • Advanced topics
Conclusion
  • Next steps

Taught by

Jason Schenker

Reviews

4.6 rating at LinkedIn Learning based on 659 ratings

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