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Econometrics that moves
with your research.

Move from mobile analysis to a full browser workspace without losing the workflow: import data, build charts, estimate models, inspect diagnostics, and run shock paths after estimation.

Open web workspace Browse estimatorsChart builder · PMG ARDL · shock scenarios

01data stream

02model pulse

estimators across panel and time series workflows

PMG

ARDL recovery paths using estimated dynamics

Charts

dual-axis, scatter, split panels, heatmaps

Web

continue the same analysis on a bigger canvas

§ i methods

Every estimator,
configured fully.

Not a one-size regression form. Each of the twenty exposes the options its method actually requires — cluster structure, lag order, instrument validity, cointegration tests, kernel choice.

Table i.1 — Estimator index. Plus ARDL, Heckman, and quantile variants added in 2026.1.

§ iii the workspace

One page, the whole pipeline.

Data, specification, fit, diagnostics, and export — in the same quiet cream page. Nothing opens a new modal unless you asked for it.

quantfit.app / ws / pesaran-2026 / pmg-ardl

macOS · Web

pesaran-2026 / pmg-ardl

Pooled Mean Group — gdp_growth

fit 1.84 s · 142×33

RUN

Long-run coefficients

Variable	Coef.	SE	t	Sig
ECT (φ)	−0.384	(0.072)	−5.33	***
inflation	−0.214	(0.091)	−2.35	**
trade_open	0.347	(0.082)	4.23	***
gov_spend	−0.092	(0.058)	−1.59	·
credit_depth	0.128	(0.049)	2.61	**

residuals · by panel

CUSUM · stability

Fig. 3 — The QuantFit workspace. Data panel, estimator configuration, and results render side by side. Pencil equations drift across the edges; the work stays in focus.

§ ii output

Journal-style results

Results that read like a paper.

Standard errors in parentheses. Significance stars by journal convention (Newey-West, cluster-robust, or bootstrapped — your choice). Tabular numerics throughout.

Export directly to LaTeX (booktabs), typeset PDF, or Word. Every run writes a reproducibility hash alongside the coefficient vector.

✓LaTeX, PDF, and Word export
✓Robust and cluster-robust SE by default
✓Pre-registered significance conventions
✓Reproducibility hash on every fit

Table 1 · PMG-ARDL long-run coefficients

N = 142 · T = 33 · log-lik −984.2

Variable	Coef.	Std. err	t	p	Sig.
ECT (φ)	−0.384	(0.072)	−5.33	0.000	***
inflation	−0.214	(0.091)	−2.35	0.019	**
trade_open	0.347	(0.082)	4.23	0.000	***
gov_spend	−0.092	(0.058)	−1.59	0.113	·
credit_depth	0.128	(0.049)	2.61	0.009	**
log(pop)	0.201	(0.112)	1.79	0.074	*

Cluster-robust SE · panel 'country' · 142 clusters*** p<0.01 · ** p<0.05 · * p<0.1

Fig. 2 — Output from a PMG-ARDL run on the Pesaran cross-country panel. Coefficients pool long-run; short-run kept panel-specific.

§ iv for researchers

Built for
the methods section.

QuantFit is developed with applied econometricians — at Cambridge, LSE, and the IMF — who actually use Pesaran, Shin & Smith in their papers.

1.Twenty estimators, each with its own configuration surface — not a wrapped R package.
2.Panel and time-series data structures as first-class citizens, not dataframe conventions.
3.Every run produces a reproducibility hash, citable in the paper.
4.Comparison view renders four fits side by side, ready for Table 3.

“Finally an econometrics tool that treats Pooled Mean Group as a first-class method — not something you coax out of a panel-data helper library. Our replication time dropped from days to hours.”— Dr. Elena Marchetti, Reader in Macroeconomics, LSE · replicating Pesaran (2007)

“The reproducibility hash on every fit is a small feature with a big consequence. Referees stop asking for the code.”— Prof. Arun Kapoor, Department of Economics, Cambridge

“We moved a policy shop off Stata in a semester. The journal-style export alone paid for the licenses.”— Senior Economist, sovereign central bank (anonymised)

§ v platforms

Native. Portable. Identical output.

Fit on your desk, review on your phone, collaborate in the browser. One workspace format, three interfaces.

⌘

platform

macOS

Native Apple-silicon build. Local compute, full dataset privacy, integrates with your shell.

Included in Researcher, Lab tiers

◉

platform

iOS

Review results on the train. Re-run the last spec with a tap. Read-mostly — designed for inspection.

Included in Researcher, Lab tiers

◐

platform

Web

Full workspace in the browser. Collaborate with co-authors in real time; no install, no sync.

Separately priced · see pricing

See pricing

an econometrics workspace

Fit your first model
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Open workspace Read the manual

Econometrics that moveswith your research.

Every estimator,configured fully.

One page, the whole pipeline.

Results that read like a paper.

Built forthe methods section.

Native. Portable. Identical output.

Fit your first modelin four minutes.

Econometrics that moves
with your research.

Every estimator,
configured fully.

Built for
the methods section.

Fit your first model
in four minutes.