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Record W6888094270 · doi:10.18723/diw_dwr:2023-24-1

DIW Economic Outlook: German Economy Fighting Its Way out of Winter Recession

2023· article· en· W6888094270 on OpenAlexaboutno aff

Bibliographic record

VenueEconstor (Econstor) · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Business Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRecessionGermanInflation (cosmology)Quarter (Canadian coin)German economyWageUnemploymentBoom

Abstract

fetched live from OpenAlex

The German economy has returned to a recovery course following a slight recession over the winter. Although the war in Ukraine, record inflation, and feared gas shortages have taken their toll on the German economy, a drastic slump failed to materialize. The German economy remained relatively unscathed, only experiencing a slight recession over the past six months; in the final quarter of 2022 and the first quarter of 2023, it contracted by 0.5 and 0.3 percent, respectively. A mild winter and bold fiscal policy measures such as the electricity and gas price brakes mitigated the economic distortions caused by the energy crisis. The present forecast predicts that the German economy will contract by 0.2 percent in 2023. However, this figure hides the fact that the economy is already following a slight upward trend and is on a recovery course. High consumer price inflation and uncertainty about whether and how quickly inflation would slow down dominated the first quarter of 2023. Many people were also unsure how their wages would develop. Now, however, the uncertainty is gradually fading: Prices are increasing substantially more slowly than previously, and the first major collective wage agreements, for example for the postal service and for the public sector, are facilitating optimism in workers in other sectors. For the first time in three years, real incomes should increase again by the second half of 2023 at the latest. This will benefit private consumption, which was still the weak spot of the German economy at the beginning of 2023 and was largely responsible for it sliding into a recession. However, the risk of inflation has not been fully averted. If it remains significantly above the figures forecast here— 5.9 percent in 2023 year and 2.5 percent in 2024—then recovery could be significantly delayed, especially as the European Central Bank would then probably be forced to raise interest rates even higher than assumed. This would further dampen investment in particular, which is already suffering significantly from the current high interest rates. If everything goes well, private consumption will carry the German economy in 2024 too, which is expected to grow by 1.5 percent. Currently, the recovery of the German economy depends more on domestic factors than foreign trade. While German exports will increase again, especially in 2024, so will imports. As a result, foreign trade as a whole will contribute very little to growth or even dampen it. Exports are not developing more dynamically because advanced economies grew more slowly in 2023. For example, the euro area economy is only slowly recovering from the energy crisis, although the situation in most member states is somewhat better than in Germany. There are signs of a noticeable slowdown in the second half of 2023 in the USA. Global economic growth, which is forecast to be 3.5 percent in 2023 and 4.1 percent in 2024, will be supported by China and other emerging economies. In the advanced economies, in contrast, high inflation rates and rising interest rates are slowing economic recovery.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0170.013

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.249
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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