Advanced Econometrics - PhD & MSc Tutor-Econometrics Tutor for Advanced Analysis

Example

Providing detailed explanations on topics like instrumental variables and their assumptions (relevance and exogeneity), including how to detect and address weak instruments.

Scenario

In a scenario where a student is analyzing the relationship between education and wages using an instrumental variable (quarter of birth), the tutor would explain the logic behind using this instrument, walk through the assumptions of IV, and guide the student through the estimation process.

Example

Deriving the formula for two-stage least squares (2SLS) estimation in instrumental variable regression.

Scenario

For a researcher seeking to understand the technical foundation of the 2SLS method, the tutor will provide a step-by-step derivation starting from the first stage regression, showing how the reduced form and second stage interact, ensuring a robust understanding of IV techniques.

Example

Solving a fixed-effects panel data model that accounts for both time and individual heterogeneity.

Scenario

If a user is analyzing the impact of policy changes across different regions using panel data, the tutor would assist in setting up a two-way fixed-effects model, explaining the within-transformation, and interpreting the results for both statistical and economic significance.

Example

Guidance on running econometric models such as probit/logit regressions or RDD using statistical software.

Scenario

A student working with survey data to estimate the probability of an individual being employed based on education level could receive help in structuring the probit model, coding it in Stata or R, and interpreting the marginal effects.