VAR: estimation is available; formal dynamic responses are not
Keep five questions separate: estimator availability, country estimability, evidence of misspecification, validation of the diagnostic gate, and permission to publish formal dynamic responses. Reduced-form VAR coefficient estimation is active. Five formal country models are estimable: baseline v1 for Poland and Romania; baseline v2 for Czechia, Germany and Hungary. The finite-sample residual publication gate remains unresolved: no validated diagnostic is available. Formal IRFs, IRF uncertainty and structural identification are not available for publication.
Baseline v1 uses a constant VAR and constant-only ADF. Baseline v2 retains variables, transformations, sample and BIC policy, adds eleven month dummies and uses finite-sample-calibrated seasonal-dummy ADF. The legacy MacKinnon-c seasonal-dummy judgement remains an archived reference, not a replacement. Month terms absorb residual calendar effects; they do not re-seasonally-adjust source series. Deterministic seasonality, seasonal unit roots, structural breaks and persistent stationary processes are different concepts. Seasonal-dummy ADF tests the zero-frequency unit root under the registered deterministic terms; HEGY is not implemented and Zivot–Andrews remains registry-only.
VAR requires at least 60 consecutive valid months, registered transformations, profile-mapped stationarity, common-sample lag selection, parameter-count and stability gates. BIC remains the formal lag rule. Higher-order diagnostically adequate fits are sensitivity checks, not replacements chosen after observing results. ADF-borderline status permits only warned coefficient estimation, not dynamic responses. Romania, Czechia and Hungary have this independent stationarity obstacle.
The existing h=12 adjusted Portmanteau gate is retained, but the lag-selection-plus-residual-diagnostic procedure failed finite-sample calibration. No eligible replacement was authorised. The h=18/24 checks concern longer horizons; passing a shorter horizon cannot authorise all horizons. Reduced-form innovations are not structural shocks. Order-dependent Cholesky responses are not structural identification or causal effects. Their implementation does not establish a publishable formal IRF. Bootstrap, Monte Carlo and delta-method IRF uncertainty remain unavailable.
Seasonal-dummy ADF calibration uses the production regression and sample policy under a zero-frequency unit-root null with fixed monthly increments. It covers nine N=96–168 nodes, 50,000 repetitions each, fixed seeds and linear interpolation by input length. Calibration points and weights are recorded. Asymptotic equivalence does not imply finite-sample equality. The full empirical null CDF is not published, so p_value remains null. Independent OLS agreement verifies regression, standard errors and tau, not the critical values by itself.
Formal dynamic-response-ready countries: 0. Publication boundary registry
Macro drivers and identification
Policy rates are not market rates; bond yields are not policy rates; bilateral FX is not effective FX; HICP Energy is not a wholesale energy price. BIS supplies policy rates and FX, Eurostat supplies long-term yields and HICP Energy, and World Bank Pink Sheet supplies monthly Brent and European gas prices. Each record retains units, definitions, transformations, revision status, aggregation, economic role and identification status. An observed driver or rate change is not automatically an identified economic shock.
Monthly changes require exactly adjacent calendar months; annual changes require exactly twelve-month spacing. Warm-up periods are not source missingness. Source gaps, warm-up, regime changes and definition changes are separate reasons. Policy-rate changes require consistent policy regime, instrument and source-series instance. Croatia’s January 2023 transition from national policy to ECB policy is excluded from cross-regime monthly changes. Shared ECB, EUR/USD and commodity series retain common IDs and applicability periods; they are not multiple statistically independent country shocks.
EA-MPD is the formal scheduled-meeting baseline; EA-EMPD retains speeches and extended robustness material. Decision, press-conference and combined windows share parent-event IDs, and database overlaps are deduplicated. Frankfurt local time, CET/CEST and UTC conversion are retained. Monthly aggregation sums qualified event surprises; a month without a qualified event is zero with valid_no_event, while an expected event lacking its measure is missing. Speeches are not silently added to the formal decision series. Raw workbooks stay in the local audit; public packages contain derived records, checksums and official links.
Sources and licences: EA-MPD: Altavilla, Brugnolini, Gürkaynak, Motto and Ragusa (2019), Measuring euro area monetary policy, Journal of Monetary Economics 108 (ECB Working Paper 2281); dataset licensed CC BY-SA 4.0. Changes by the Atlas indicated; Atlas files containing EA-MPD-derived records are provided under CC BY-SA 4.0. EA-EMPD: Altavilla, Gürkaynak, Kind and Laeven (2025), Monetary transmission with frequent policy events, ECB Working Paper 3157 (© European Central Bank); used for research reference with attribution; written reuse authorisation from the ECB/authors is pending.
Ordinary OIS surprises are external innovation proxies, not automatically pure monetary-policy shocks. Only the two frozen, independently validated Jarociński–Karadi MP / CBI series may enter formal LP. Their deterministic construction uses uncentred PC1 of OIS_1M, OIS_3M, OIS_6M and OIS_1Y with STOXX50 and a positive-diagonal QR median rotation. Monetary tightening raises rates and lowers equities; central-bank information shocks move them in the same direction. The median rotation is a representative admissible rotation, not unique structural truth. Shock construction is distinct from the paper’s Bayesian VAR transmission model; SVAR and BVAR are not thereby activated.
Austria, Germany, Slovakia and Slovenia have common euro-area exposure. Croatia switches from external ECB spillovers to common exposure in January 2023. Czechia, Hungary, Poland, Romania and Serbia are interpreted as external ECB spillovers, not domestic monetary-policy shocks. Brent, gas prices, ordinary policy rates and FX movements are not newly identified shocks. Event-related driver IDs express research relevance, not causation.
Closed VAR diagnostic research archive
v1.85–v1.90 identify research programmes, not the current platform release. The programme is frozen after v2.0. Reopening requires new method evidence or a separately preregistered question and owner approval. There is no authorised replacement diagnostic or model expansion.
v1.85 / v1.851
Adjusted Portmanteau, BG LM and Edgerton–Shukur did not pass the joint preregistered procedure gate. Layer A concerns correctly specified fixed-lag diagnostic size; Layer B combines lag selection, specification and diagnostics, and its rejection rate is not pure Type-I error. Deterministic decomposition did not change the no-eligible-replacement decision.
v1.86
The synthetic selected-model-adequacy bootstrap study passed its restricted registered target, not a general production-validation gate. The full procedure rate is report-only; true VAR(2) selection-aware size remained untested in the original setting. It did not authorise a production diagnostic.
v1.87
Lag recovery varied with second-lag signal strength. Underselecting the true order differs from whether a lower-order model is an adequate approximation. Infeasible stationary combinations were preserved; AIC and HQIC were comparisons, not proposed replacements for BIC.
v1.88
The authorised five-country audit and bootstrap evaluation are research evidence, not readiness changes. The empirical identifiability index is descriptive, not the true synthetic ψ or the probability of a second lag. Bootstrap non-rejection did not establish adequacy or validate publication.
v1.89
Country-matched synthetic calibration found marked conservatism and weak power in the relevant moderate second-lag signal range. This does not support production adoption; non-rejection there is weak adequacy evidence. Production diagnostics and readiness were unchanged.
v1.90
Residual dependence was weak and dispersed, with pandemic-period concentration. Diagnostic refits did not create new baselines or production specifications. A preregistered labelling issue is retained with an explicit post-hoc note. Neither asymptotic rejection nor bootstrap non-rejection proves a model wrong or validated.