About


I am a data scientist-economist working at the OECD Directorate for Science, Technology and Innovation (STI) where I support several areas of academic and policy research including classification of data, natural language processing of patents, and econometric and geo-spatial analysis.

I received my PhD in economics from the University of Bologna Department of Economics. in November, 2018.

My technical skills include: Python, R, Postgre SQL, SQL, STATA, and QGIS and ARCGIS. Languages include: Spanish ,English , French, Portuguese and Italian. You can see the latest draft of the paper under the work section and all its code (data scraping, stats, machine learning) is available freely on Github. Click here for a link to my full CV. You can find me on GMAIL @ milfadic

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Work


Academic

  • Letting luck decide: Estimating the causal effects of government procurement on the growth of small firms Journal of Development Studies. Publication | Data and code

  • The effects of income shocks on human capital accumulation. International Journal of Sustainable Economy. (2019) Publication

Policy

  • Classifying small (TL3) regions based on metropolitan population, low density and remoteness (with Garcilazo J., Moreno-Monroy A. and Veneri P.) OECD Regional Development Working Papers (2019). Publication

  • The effect of public sector efficiency on firm-level productivity growth (with Garda P. and Pisu M.) OECD Economics Department Working Papers (2019). Publication

  • Delineating Functional Areas in All Territories (with Kleine L. and Veneri P.) OECD Territorial Reviews (2019). Publication

Visualisations

  • Measuring the distance to the SDGs: This tool allows selected cities and regions to measure their distance achieving the SDGs.

  • Cities in the World: This tool shows all urban centres and metropolitan areas in the world with at least 50 thousand inhabitants.

  • Regions in Transition: This tool provides an overview of key indicators for industrial transition across OECD countries.