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Introductory Econometrics Lecture 1: Introduction and Review

What are the topics in econometrics 1?
Topics covered include probability and statistics, single linear regression, multiple linear regression, non-linear regression, model internal and external validity, field and natural experiments, and time series models.
How do you define econometrics?
Econometrics is the use of statistical and mathematical models to develop theories or test existing hypotheses in economics and to forecast future trends from historical data.
It subjects real-world data to statistical trials and then compares the results against the theory being tested.
Is econometrics hard or easy?
Completing an MSc in Econometrics is no easy feat.
It requires a deep understanding of social sciences, corporate finance and the ability to apply quantitative methods to your research.
By the end of the course, you will be able to apply sophisticated analytical and interpretive techniques to make informed decisions.
Econometrics can be defined generally as 'the application of mathematics and statistical methods to the analysis of economic data', or more precisely in the words of Samuelson, Koopmans and Stone (195.
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What are the topics in econometrics 1?