Offer summary#

This offer is for buyers whose problem is not just “run a model,” but “choose an analysis that can survive scrutiny.” The emphasis is on method selection, assumptions, robustness checks, and interpretation rather than one-shot output generation.

What the buyer receives#

a method note describing the selected model and why it fits the question
a documented analysis script
core result tables and diagnostics
a concise interpretation memo that explains practical meaning and limitations

Typical methods#

fixed-effects and random-effects panel models
difference-in-differences and related impact-evaluation setups
time-series forecasting and diagnostics
Granger-causality and dynamic specifications where justified
sensitivity checks, alternative specifications, and robustness comparisons

Background signal#

My public work already leans into this mode of analysis. Distributed Causality in the SDG Network is directly relevant, and the broader research profile on this site consistently emphasizes careful evaluation, temporal structure, and reproducibility.

Example engagement shape#

define the target question in plain language
verify data structure, units, and timeline
choose the method and document the identifying assumptions
run the model and diagnostics
summarize results for a technical or non-technical reader

Package ladder#

Basic - $95: one method on a ready dataset
Standard - $250: multi-model comparison with robustness checks
Premium - $600: full study-style analysis with executive summary and delivery-ready tables

Boundaries#

This offer avoids fake certainty. It does not guarantee significance, and it does not use coursework framing.

Causal / Econometrics / Forecasting