CONSULTING
Statistical & Econometric Consulting
Project-based quantitative analysis and implementation
From data strategy and modelling to robust analytical outputs, with methods and software selected for the problem.
CONSULTING AREAS
Methods and implementation selected around the analytical problem
Consulting is not tied to a fixed methodological package or software stack. The approach is selected around the decision, data structure, applied domain, required output and constraints of the project.
Statistical & Econometric Modelling
Model formulation, estimation, inference and interpretation for cross-sectional, time-series, multivariate and scientific data.
Time Series, Forecasting & Predictive Analysis
Dynamic models, forecast design, rolling validation, predictive comparison and uncertainty assessment for temporal data.
Causal, Panel & Policy Evaluation
Panel-data methods, fixed effects, difference-in-differences, robust inference and evaluation designs for business, policy and applied research questions.
Simulation, Optimisation & Decision Support
Monte Carlo and discrete-event simulation, scenario analysis, sensitivity analysis and quantitative decision-support workflows.
Diagnostics, Robustness & Model Comparison
Specification checks, residual diagnostics, sensitivity to assumptions, alternative models and robustness of substantive conclusions.
Quantitative Implementation & Data Workflows
R, Python, Stata, MATLAB and Julia as appropriate, including data preparation, model implementation, reproducible pipelines, code review and technical outputs.
Applied settings can include finance and markets, energy, business and operations, public policy, sports analytics and scientific data.
HOW CONSULTING ENQUIRIES ARE CONSIDERED
Initial information first, then scope is considered individually
Consulting enquiries are reviewed individually. For suitable enquiries, a brief initial discussion may be proposed at no cost where useful to clarify the analytical question, available data and potential scope.
1. Enquiry
Provide the analytical question, available data, current methodology, constraints and expected output.
2. Initial Review
I assess whether the problem is suitable and what additional information may be needed.
3. Clarification
Where useful, a brief initial discussion may be proposed at no cost to clarify the objective, data and potential scope.
4. Scope & Terms
Any subsequent engagement is considered separately and proceeds only after scope, deliverables, timing and terms have been mutually agreed.
DELIVERABLES & SCOPE
Scope and outputs defined around the project
Possible Deliverables
Methodological recommendations, statistical or econometric analysis, diagnostics, simulations, forecasts, code, reproducible workflows and technical documentation.
Project Scope
Scope is agreed in advance around the analytical question, available material, methodological complexity and expected outputs.
Communication
Results are communicated with attention to assumptions, uncertainty, interpretation, robustness and limitations.
PROJECT ENQUIRIES
Tell me about the analytical problem and the output you need
A short initial description of the project, available data, current methodology and desired output is usually sufficient to assess whether the problem is suitable and define the next step.