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Cliometric Laboratory

Where History Meets Data

Cliometrics – or quantitative economic history – is the bridge between archival pasts and modern analytical tools. By applying rigorous econometric methods to historical datasets, we can isolate the causal mechanisms that shaped the modern world.

The Great Transition

Real GDP per Capita (1820-2018)

Source: Maddison Project Database 2020 & Clio-Infra

Demographic Transition

Total Fertility Rate (TFR)

Cliometric insight: The 19th-century fertility decline was closely correlated with labor market legislation that restricted child labor and increased the return on human capital investment.

Clio's Toolkit

// The methodological foundations and rich datasets that enable modern cliometric analysis.

Maddison Project

The gold standard for long-term GDP time series, making it possible to compare prosperity across centuries.

IPUMS International

Harmonized census microdata allowing for detailed studies of family and occupational structures over time.

Clio-Infra

A comprehensive archive of global historical indicators for inequality, human capital, and institutions.

GeoPandas & GIS

Integrating spatial data to understand the geographical dimension of historical economic shocks.

Populations Past

Extraordinarily detailed demographic data from British censuses 1851-1911.

My Approach

My research is driven by the conviction that history is our best laboratory. By studying long-run patterns, we can better understand institutional persistence and today's economic development.

Quantitative Rigor: Supporting historical narratives with hard data.

Institutional Persistence: How past choices shape modern frameworks.

Reproducibility: Open access to code and historical datasets.

"The past is a foreign country; they do things differently there."

— L.P. Hartley

The Archivist's Log

// Data Harmonization

The Factory Acts Puzzle

To isolate the effect of 19th-century factory laws, I had to cross-reference textile districts with data on energy sources. The challenge was distinguishing between water-powered industry (early implementation) and steam-powered (later adoption).

// Panel Construction

The Globalization Panel

Building a unified panel of 32 OECD countries to analyze the impact of globalization. The challenge lay in harmonizing national statistics for social transfers, as definitions of 'welfare state' vary across borders.

GIS & Spatial Analysis

Visualizing historical patterns through modern Geographical Information Systems.

The British Fertility Transition

The British Fertility Transition

The map showing the geographical spread of declining fertility rates in the late 19th century, focusing on industrial clusters in Northern England.

Globalization Impact

Globalization Impact

A spatial analysis of 'China Shock' exposure at the regional level in Europe, illustrating the inequality in globalization's consequences.

Featured Projects

Replication Dashboard

// Transparency and reproducibility are fundamental to my research process. Access the code and data behind my published papers and working projects.

Project Stack Data Access
The Cost of Quality - Full Package
10.5281/zenodo.xxxxxxx
R, Stata, Python Zenodo (Access-Restricted) Get Code
China Shock & Welfare State Spillovers
N/A (Working Paper)
Python (Pandas, Statsmodels) Public (Open Source) Get Code

Identification Strategy

Diff-in-Diffs in the 19th Century

// Research Context

The 1833 Factory Act limited child labor hours, but only in textile mills. This created a natural experiment where we can compare textile districts (Treatment) with other industrial districts (Control).

// Identification Strategy

By using a Difference-in-Differences estimator, I can control for time-invariant regional characteristics and common time shocks, isolating the Act's impact on family fertility choices.

Structural Model Spec:

Y_{it} = \alpha + \beta(Treat_i \times Post_t) + \gamma_i + \delta_t + \epsilon_{it}

The Reading Room

A curated bibliography of the works that have most influenced my approach to cliometric history.

Goldin & Katz (2008)

The Race between Education and Technology

Crucial for understanding how human capital formation drives long-run growth.

Douglass C. North (1990)

Institutions, Institutional Change and Economic Performance

The theoretical foundation for why institutions matter more than geography.

Thomas Piketty (2013)

Capital in the Twenty-First Century

A masterclass in using historical tax records to visualize long-run inequality.

Structural Transformation

Three generations of Ebsen family history in the context of Danish economic development.

1900-1920

Great-Grandmother

Field Laborer (Polish migrant)

The Great Transition

The shift from cereal production to capital-intensive animal exports and sugar beets. This period was defined by the cooperative-led professionalization of agriculture, where Polish seasonal labor ('roepolakkerne') served as a critical production factor in rural industrialization.

Archive Context
1980-2015

Father

Factory Worker (Iron & Metal)

Industrial Maturity & Globalization

Consolidation of the Danish manufacturing sector under pressure from global competition. This era included significant structural reforms in the 1980s (e.g., the 'Potato Diet') and a movement towards highly specialized niche production.

Archive Context
1990-Present

Mother

Childcare Provider

The Rise of the Care Economy

Expansion of the public welfare sector in response to increased labor market participation. The professionalization of early-stage care is a prerequisite for the productivity and human capital formation of the modern service economy.

2026+

Anton

Economist (PhD Candidate)

The Knowledge & Green Transition

The shift towards knowledge and data as primary drivers of growth. Integration of advanced econometric modeling and historical analysis (Cliometrics) to navigate complex globalized financial systems.