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Record W6977655572 · doi:10.7488/era/4529

Essays in applied micro-econometrics

2024· other· en· W6977655572 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueERA · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsEarningsGermanIncentiveCurriculumQuarter (Canadian coin)Public policyTax creditSelection bias

Abstract

fetched live from OpenAlex

This thesis consists of three chapters using micro-econometric techniques to evaluate German public policy and policy reforms regarding their impact on individuals and the labour market. Although the selection of topics might seem broad, the general theme linking my results is an interest in informing policymakers about the efficacy of reforms frequently discussed in the public debate in Germany in recent years. In chapter 1, I use administrative labour market data to estimate the effect of compressing instructional time in school on labour market outcomes for young adults. Leveraging the staggered introduction of the so-called G8 reform, I compare students on the German academic school track who graduated under a compressed curriculum to those who did not. Using a robust difference-in-differences strategy, I find that the reform reduced labour market earnings by 14% over the sample mean six years after graduating from high school. The decline is persistent and primarily driven by changes to the curriculum inducing higher weekly workloads, while age effects play a minor role. A range of alternative specifications and placebo tests confirm my main findings. In chapter 2, I use German survey data to investigate whether married couples shift the timing of martial breakup to reduce income tax liabilities. In Germany, married couples are eligible for income tax rebates if they are married for at least one day in the calendar year. This creates an incentive to delay the breakup date into the next calendar year. I show that a large proportion of married couples report a breakup in the first quarter of a year, especially in January, between 1984 and 2017. I find that a EUR 1,000 increase in the tax rebate is associated with an increase in the probability of a breakup occurring in the first quarter by 2.9 percentage points, which is consistent with spouses postponing their separation date in response to tax deductions. I find no differences in the probability of divorce regardless of the timing of the breakup. In chapter 3, I estimate the effect of childcare provision on labour market outcomes of mothers

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.348
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0150.362

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 head0.020
GPT teacher head0.243
Teacher spread0.224 · 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

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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