Econometric Theory A
One-to-one support for LSE's Econometric Theory A module, with help understanding the main ideas, keeping up with the work, and preparing confidently for assessments.
About
Provides a proof-based treatment of econometric theory for cross-sectional data and linear models. Students study probability and asymptotic theory, method of moments, estimation, inference, instrumental variables and the theoretical properties of econometric procedures.
Support for EC336 Econometric Theory A at LSE
Our tutoring for EC336 is designed to make the module feel more manageable. Sessions can focus on clarifying lecture material, rebuilding foundations, working through proofs, derivations, problem sets and exam-style questions, and developing a clearer strategy for revision and assessed work. The aim is to help students understand the module deeply enough to apply the material independently, not just memorise model answers.
Students often struggle with:
- understanding the assumptions and intuition behind probability and asymptotic theory, with particular attention to method of moments
- choosing the right method when moving between estimation and statistical inference in problem sets, data work or coding tasks
- interpreting estimates, diagnostics, proofs and output clearly in assessed answers
- building a clear revision plan when the module starts to feel cumulative
Our tutors can help by:
- Reviewing the statistical or econometric intuition behind probability and asymptotic theory, with particular attention to method of moments
- Working through derivations and problem sets involving estimation
- Applying statistical inference in data work and interpreting the resulting output
- Building confidence with coding, proofs and exam-style questions
- Tailoring sessions to the exact parts of EC336 that feel unclear
Tutors for EC336
Our EC336 tutors include experienced university teachers and subject specialists. If you are not sure who is right for you, tell us what you need help with and we will recommend the best match.
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