panel_* tool: fixed effects (entity, time and other effects), random effects, between, first-difference, pooled and Fama-MacBeth regressions with robust, one- or two-way clustered, Driscoll-Kraay and autocorrelation-robust standard errors; estimator comparison with a Hausman test; regression absorbing high-dimensional fixed effects; instrumental variables (2SLS, LIML, k-class, GMM, CUE-GMM) with first-stage, over-identification and endogeneity tests; SUR, 3SLS and system GMM with cross-equation constraints; and linear factor asset-pricing models with risk premia, alphas and the J test. Classic econometrics datasets are bundled to try every model. It runs on Fincept’s servers; your agent sends numbers or data references and gets back a result envelope with tables and charts.
Fincept Panel tools are free. They count toward the rate limit only; a
$fincept reference inside a call is charged like a direct call to that tool.Modules
Tools are grouped in modules. Each module is a toolset namedpanel_<module>, so you can list it or search within it. The Fincept Panel reference lists every module and tool.
panel_catalog returns the live list of modules and tools from inside your agent.
Inputs
Formulas take the columns of
data and the transforms log, exp, sqrt, C(), center(), scale() and poly(); write 1 + for an intercept. panel_dataset returns a bundled dataset whose data.table can be passed straight to a model tool as data.
Limits
A computation that runs past its time limit answers
timeout; a busy engine answers busy and the call can be retried a few seconds later.
Outputs
Regressions return coefficients with standard errors, t statistics, p-values and intervals, R² (within, between and overall for panels), F tests and optional Wald tests, predictions and per-row fitted values and residuals.panel_fixed_effects and panel_random_effects add the estimated effects and the variance share due to them; IV tools add first-stage strength, over-identification and endogeneity tests; panel_compare and panel_iv_compare set estimators side by side, with the Hausman test when fixed and random effects are both fitted. panel_factor_model returns risk premia, each asset’s alpha and betas and the J test, with charts of premia and alphas.
Example
Prompt
seemingly unrelated regression, finds panel_system_regression, and passes each symbol’s closes as a $fincept reference to market_get_candles, one data column per symbol, with one equation per bank such as log(JPM) ~ 1 + log(SPY).