IESET.
Hypotheses·energy·german_energiewende_industrial_cost_trajectory

Germany's industrial electricity prices diverged upward from a basket of comparable industrial peers (United States, France, Sweden, Norway, Finland) after the 2011 Energiewende pivot and the gap widened further through the 2014 nuclear-phase-out milestones and the 2022 gas crisis.

The price divergence is measurably associated with the decline in the German manufacturing value-added share of GDP over 2011-2023, with the effect concentrated in energy-intensive subsectors (chemicals, basic metals, non-metallic minerals). This is the narrow empirical form of the broader claim that Energiewende's policy-content choices (nuclear phase-out while gas-dependence deepened, EEG surcharge on retail prices, gas-indexed wholesale market) produced a concrete industrial- cost penalty that peer economies avoided.

REFUTEDengine/runs/german_energiewende_industrial_cost_trajectory

refuted — Germany's industrial GVA gap on 2015-2020 average is +0.095 log (wrong sign for industrial-cost-penalty story), placebo p=0.4444444444444444.

confidence cueThis test cuts against the claim as written or misses its pre-declared threshold.

policy briefNeeds review

In ordinary language

In plain terms, this asks whether deu post energiewende dummy is actually linked to better or worse log industrial electricity price usd mwh from 2005 to 2024.

plain answer

The data did not support the prediction. Germany's industrial GVA gap on 2015-2020 average is +0.095 log (wrong sign for industrial-cost-penalty story), placebo p=0.4444444444444444.

why it matters

This matters because energy claims should change belief only when they survive a pre-declared empirical test.

how the test works

It compares 10 country or place units from 2005 to 2024, using a synthetic control design, with fixed effects for country and year.

what was measured
What changed
  • Deu post energiewende dummy
  • Deu post nuclear phaseout dummy
What we checked
  • Log industrial electricity price usd mwh
  • Log manufacturing value added real
  • Energy intensive subsector output share
what this does not prove

A single test is not the whole truth. It narrows the claim under a specific sample, time period, and method. Strong policy conclusions need the pattern to survive nearby tests, alternative data, and serious objections.

verification

No evidence packet has been generated yet.

Results

engine/runs/german_energiewende_industrial_cost_trajectory
Loading chart…

Who has skin in the game — schools predicting on this

3 schools list this hypothesis as a test of their position. The chips below are school-level scoreboard outcomes, not a second hypothesis verdict.

hypothesis verdict vs scoreboard outcome

The banner verdict judges this hypothesis as written. The scoreboard asks whether each school's polarity-corrected prediction was right. Raw status is not a school win: SUPPORTED supports schools that needed SUPPORTED, but refutes schools that needed REFUTED.

Pre-registration

pre-registered
first-spec commit 4c8ce8e · 2026-07-18T22:11:21Z

Germany's industrial electricity prices diverged upward from a basket of comparable industrial peers (United States, France, Sweden, Norway, Finland) after the 2011 Energiewende pivot and the gap widened further through the 2014 nuclear-phase-out milestones and the 2022 gas crisis. The price divergence is measurably associated with the decline in the German manufacturing value-added share of GDP over 2011-2023, with the effect concentrated in energy-intensive subsectors (chemicals, basic metals, non-metallic minerals). This is the narrow empirical form of the broader claim that Energiewende's policy-content choices (nuclear phase-out while gas-dependence deepened, EEG surcharge on retail prices, gas-indexed wholesale market) produced a concrete industrial- cost penalty that peer economies avoided.

Falsification criterion — what would disprove this

set before the run · honoured after

This hypothesis is considered falsified if:

Not supported if (a) the DEU synthetic control pre-trend fit fails (pre-treatment RMSPE > 0.05 log points on industrial price), OR (b) the post-treatment DEU-synthetic price gap does not exceed the 95th percentile of placebo gaps across donor pool, OR (c) the gap fully collapses when the 2021-2024 gas-shock window is excluded, OR (d) the second-stage manufacturing VA effect is insignificant or signed against prediction. If the price gap is real but transmits weakly to manufacturing VA, report the split — divergence exists but output attribution is separate question.

formal test & threshold
test:      energiewende_synthetic_control_price_and_output_transmission
threshold: post-2011 DEU-synthetic price gap >= 0.15 log points on 2015-2020 average (excluding war-shock years)  AND placebo permutation p-value < 0.10  AND β_manuf_va on price gap < -0.05 at p<0.10

Method

Template
synthetic_control
Fixed effects
country, year
Clustering
country
Sample
10 countries · 20052024
Evidence type
causal

Primary specification: synthetic control with DEU as treated unit (treatment = 2011 Energiewende). Donor pool = FRA, USA, SWE, NOR, FIN, NLD, ITA, ESP. Pre-treatment fit window 2005-2010. Primary outcome = log industrial electricity price. Placebo permutation tests across donor pool. Pre-trend RMSPE reported explicitly. Secondary specification: TWFE panel with deu_post_energiewende_dummy + deu_post_nuclear_phaseout_dummy, interacted with energy-intensity sector shares to detect where the price transmission binds. Second-stage: regress log manufacturing VA (and the energy-intensive subsector share) on the synthetic-control-derived price gap to test whether the price divergence transmits to real-sector output. Known limitations: (1) DEU is the sole treated unit — synthetic control's external validity is limited to this case. (2) 2022-2024 window confounded by Russia-Ukraine gas shock; report results with and without that window. (3) Treatment date is ambiguous — 2011 decision, 2014-2017 nuclear plant closures, 2022 final phase-out. Use 2011 as primary and 2022 as secondary treatment; sensitivity to both. (4) Gas-indexed wholesale market design is a separate channel from nuclear phase-out per se; this hypothesis pools them as the Energiewende policy bundle and makes no claim to separate.

Data

VariableSourceTransform
log_industrial_electricity_price_usd_mwh
outcome
constructed:IEA industrial electricity price series (band IC, medium industry) + Eurostat NRG_PC_205 cross-check, USD/MWh constant 2tier 5
log
log_manufacturing_value_added_real
outcome
world_bank_wdi:NV.IND.MANF.CDtier 2
log_real
energy_intensive_subsector_output_share
outcome
constructed:OECD STAN sectoral VA — chemicals (C20) + basic metals (C24) + non-metallic minerals (C23) + paper (C17) as share of tottier 5
level
deu_post_energiewende_dummy
treatment
constructed:indicator = 1 for DEU from 2011 (Energiewende formal enactment after Fukushima) onwards. All other countries = 0.tier 5
indicator
deu_post_nuclear_phaseout_dummy
treatment
constructed:indicator = 1 for DEU from 2022 (final reactor closures enacted) onwards, capturing the fully-phased-out regime.tier 5
indicator
log_population
control
world_bank_wdi:SP.POP.TOTLtier 2
log
trade_openness
control
world_bank_wdi:NE.TRD.GNFS.ZStier 2
level
brent_oil_usd
control
constructed:reference oil price to partial out global energy-price cycle; placeholder for BIS or IMF commodity-price fetcher.tier 5
log
gas_price_eu_ttf_proxy
control
constructed:TTF-equivalent natural gas price (EUR/MWh) to partial out gas-shock exposure common to gas-indexed markets. Fetcher pendtier 5
log

ready  ·  pending  ·  reconstruct-needed

Detailed result card

Result card — German Energiewende industrial cost trajectory

Verdict: refuted — Germany's industrial GVA gap on 2015-2020 average is +0.095 log (wrong sign for industrial-cost-penalty story), placebo p=0.4444444444444444.

Outcome: log industrial GVA real (WDI NV.IND.TOTL.KD). Treated: DEU. Donors used: FRA, SWE, NOR, FIN, NLD, BEL, ITA, ESP. Pre-period 2005-2010; post-period 2011-2024. Treatment date: 2011 (Energiewende formal enactment).

Synthetic control fit

| Metric | Value | |---|---:| | Pre-period RMSPE | 0.0146 | | Post-period RMSPE | 0.0842 | | Post/Pre RMSPE ratio | 5.78 | | Mean post-2011 gap (DEU − synth) | +0.059 log | | Cumulative post-2011 gap | +0.826 log-yr | | Mean 2015-2020 gap (excl. war) | +0.095 log | | Placebo rank | 4/9 | | Placebo p-value | 0.4444444444444444 |

Donor weights

| Donor | Weight | |---|---:| | FRA | 0.000 | | SWE | 0.828 | | NOR | 0.000 | | FIN | 0.000 | | NLD | 0.172 | | BEL | 0.000 | | ITA | 0.000 | | ESP | 0.000 |

Pre-trend gap series (log industrial GVA, DEU − synthetic)

| Year | DEU | Synth | Gap | |---:|---:|---:|---:| | 2005 | 0.000 | 0.000 | +0.000 | | 2006 | 0.048 | 0.049 | -0.001 | | 2007 | 0.083 | 0.099 | -0.016 | | 2008 | 0.069 | 0.059 | +0.010 | | 2009 | -0.080 | -0.075 | -0.005 | | 2010 | 0.057 | 0.027 | +0.030 |

Post-period gap series

| Year | DEU | Synth | Gap | |---:|---:|---:|---:| | 2011 | 0.106 | 0.066 | +0.040 | | 2012 | 0.108 | 0.038 | +0.069 | | 2013 | 0.096 | 0.000 | +0.096 | | 2014 | 0.136 | -0.002 | +0.139 | | 2015 | 0.142 | 0.049 | +0.094 | | 2016 | 0.177 | 0.053 | +0.124 | | 2017 | 0.208 | 0.084 | +0.124 | | 2018 | 0.220 | 0.106 | +0.114 | | 2019 | 0.207 | 0.125 | +0.082 | | 2020 | 0.146 | 0.111 | +0.035 | | 2021 | 0.191 | 0.178 | +0.013 | | 2022 | 0.171 | 0.205 | -0.034 | | 2023 | 0.147 | 0.167 | -0.020 | | 2024 | 0.107 | 0.156 | -0.049 |

Data-status caveat

Original YAML primary outcome is IEA industrial electricity price (band IC, USD/MWh). That fetcher has not landed; this v1 run uses log industrial GVA as the downstream output proxy for the price→output transmission story. The pre-registered second-stage regression of manufacturing VA on the synthetic-control price gap CANNOT run without the IEA series and is deferred. The verdict is therefore reported as v1 partial: the run tests the COMBINED (price + transmission) effect at lower power, not the isolated cost-penalty channel the YAML's primary specification calls for.

Steelman-live concerns

  1. 2022-2024 gas shock dominates post-period; the without-war sensitivity is reported.
  2. DEU is the sole treated unit — synthetic-control external validity is narrow.
  3. 2011 treatment date conflates Energiewende decision with 2014-2017 plant closures and 2022 final phase-out; YAML asks for 2022 as secondary date (not separately run here).
  4. Industrial GVA captures industrial composition shifts (e.g. EVs vs. ICE) that may move independent of energy-cost channel.

Provenance

Reproduces from vintages in manifest.yaml. See replication.py.

Strongest opposing argument

Every hypothesis ships with its charitable opposing argument. The framework earns credibility by handling objections at their strongest, not weakest.

Notes

Data readiness: - IEA industrial electricity price (IC band) — specialist fetcher pending - Eurostat NRG_PC_205 — Eurostat fetcher shipped, specific series fetch needed - OECD STAN sectoral VA — fetcher not yet shipped - WDI manufacturing VA — ready - TTF gas-price proxy — fetcher pending v1 pre-registers; v1.1 runs when IEA + OECD STAN + TTF fetchers land and baseline_pull.yaml is extended.

Authored framework. Read the transparency note.