QuantFit.
QuantFit for iPhoneApplied econometrics · on device

Econometrics that moves
with your research.

Import economic data, estimate panel and time-series models, inspect diagnostics, run scenario shocks, and export research-ready tables from your iPhone.
Download on theApp StoreBrowse estimatorsChart builder · PMG ARDL · shock scenarios
01data stream
02model pulse
Panel
static and dynamic estimators
PMG
ARDL recovery paths using estimated dynamics
Charts
dual-axis, scatter, split panels, heatmaps
Local
run analyses on your Apple device
§ i methods

Methods for
applied workflows.

Move from core regression to panel, cointegration, ARDL-family, system, and dynamic-panel workflows using the methods documented in the current iPhone release.
Table i.1 — Public method index. Check the live App Store description for version-specific availability.
§ 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
VariableCoef.SEtSig
ECT (φ)−0.384(0.072)−5.33***
inflation−0.214(0.091)−2.35**
trade_open0.347(0.082)4.23***
gov_spend−0.092(0.058)−1.59·
credit_depth0.128(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
VariableCoef.Std. errtpSig.
ECT (φ)−0.384(0.072)−5.330.000***
inflation−0.214(0.091)−2.350.019**
trade_open0.347(0.082)4.230.000***
gov_spend−0.092(0.058)−1.590.113·
credit_depth0.128(0.049)2.610.009**
log(pop)0.201(0.112)1.790.074*
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
applied econometrics.

QuantFit is designed for empirical researchers, PhD students, policy analysts, and economists working with macroeconomic, financial, trade, development, and panel data.
What is available now
  • 1.Import your own CSV or XLSX data, or pull public economic series inside the app.
  • 2.Estimate cross-section, panel, time-series, cointegration, and dynamic-panel models.
  • 3.Inspect coefficient tables, confidence intervals, and method-specific diagnostics.
  • 4.Export tables, charts, and reproducibility scripts for the next stage of your workflow.

No invented endorsements: evaluate QuantFit from its documented methods, screenshots, and working App Store build.

§ 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
econometrics on iphone

Take your next model
beyond the spreadsheet.

Download QuantFit from the App Store and inspect the live estimator workflow yourself.
Download on theApp StoreBrowse methods