Econometrics write-ups are frequently penalised for failing to discuss identification. It is not enough to run an OLS regression and report coefficients, you need to explain why your estimate is plausibly causal, what threats to identification exist, and how your chosen method addresses them.
Our econometrics mentors hold MSc Economics with econometrics specialisations and PhD degrees from institutions including Warwick, Bristol, Oxford, and UCL. They are experienced with Stata, R, and Python, and can help document empirical analyses in academic prose.
We support the written components of econometrics assignments: methodology justifications, results interpretation, assumption testing write-ups, critical evaluation of empirical studies, and dissertation empirical chapters. We do not write code, but we help document and explain empirical analyses in academically appropriate language.
Modules we cover
Sample essay topics we've supported
- Estimating the return to education using instrumental variables: replicating and extending Card (1995)
- Panel data analysis of wage determinants using the BHPS
- GARCH modelling of stock return volatility
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