Econometrics 101 — Live course
Build a foundation for analysing economic relationships with data. Explore linear regression, why OLS assumptions matter, and how hypothesis tests and confidence intervals support interpretation of results. Join the live course and explore the topics through questions and discussion.
This course is provided by MCC Economics & Finance and focuses on introductory econometrics, OLS regression and hypothesis testing.
Course provider
Economics, finance and applied analysis
MCC Economics provides analysis and advice across economics, finance and regulation. This course focuses on introductory econometrics, OLS regression and hypothesis testing. Contact the team to confirm the named lecturer for your selected session or recording.
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Econometrics 101 introduces economic data types, linear regression, ordinary least squares (OLS), model assumptions and hypothesis testing. The live listing gives Cloud Spaces ADGM in Abu Dhabi as the venue. Teams may be used if the in-person venue is unavailable; confirm the arrangements for your selected session. Check the available dates and ticket terms on Eventbrite before booking.
The course topics support three learning outcomes. They describe the concepts you will work through, rather than promising mastery from a single session.
This outline organises the topics described in the course listing. The summaries explain the subject matter in plain English.
These definitions support the course topic and help you interpret the material. They are explanatory context, not a promise that every term is a separate lesson.
| Term | Meaning |
|---|---|
| Econometrics | Statistical analysis of economic relationships using data and specified models. |
| Cross-sectional, time-series and panel data | Observations across units, across time, or across units followed over time, respectively. |
| Ordinary least squares (OLS) | An estimation method minimising the sum of squared residuals. |
| Coefficient | A model parameter describing a specified relationship between a regressor and the response. |
| Residual | An observed value minus the corresponding fitted value. |
| Homoskedasticity | Constant conditional error variance; a condition in the usual Gauss–Markov framework. |
| BLUE | Best linear unbiased estimator: lowest variance among linear unbiased estimators under the required conditions. |
| Confidence interval and t-test | Methods for expressing uncertainty and evaluating a parameter restriction under stated assumptions. |
Econometrics 101 suits learners interested in introductory econometrics, OLS regression and hypothesis testing. Basic statistics and algebra will help. No formal prerequisite is specified.
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MCC Economics brings economic and financial analysis to policy, regulation and investment questions. Econometrics 101 offers a focused introduction to introductory econometrics, OLS regression and hypothesis testing. Explore its economic analysis services, research publications and team profiles to see the wider context of MCC’s work.
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Econometrics 101 introduces economic data types, linear regression, ordinary least squares (OLS), model assumptions and hypothesis testing.
The live listing gives Cloud Spaces ADGM in Abu Dhabi as the venue. Teams may be used if the in-person venue is unavailable; confirm the arrangements for your selected session.
The listing offers live questions and discussion. Confirm recordings, slides, transcripts or certificates with MCC before assuming they are included in a live ticket.
The retrievable listing does not clearly specify a single duration. Confirm the duration of your selected session with MCC before registering.
The course is provided by MCC Economics & Finance. Contact the team to confirm the lecturer for your selected session.
Basic statistics and algebra will help. No formal prerequisite is specified.
OLS minimises the sum of squared differences between observed and fitted values.
No. A causal interpretation requires an appropriate research design and assumptions; a fitted association alone is insufficient.
No. BLUE applies to a defined class of estimators and a set of assumptions. It is not a universal guarantee.
The retrievable listing does not specify a required software package or a completion certificate. Ask MCC if either matters to your training plans.
Contact MCC Economics through the consultation page to discuss team access or tailored training.
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