Ricardo A. Pasquini
  • Research / Investigacion
  • Teaching / Docencia
  • About
  • github
  • CV
  • Blog
June 18, 2019 by admin 0
Economics, Uncategorized

Notes on Matching in Entrepreneurial Finance Networks

español We are glad our paper (with Virginia Sarria Allende and Gabriela Robiolo) went out in Venture Capital : A International Entrepreneurial Finance Journal. A working paper version is available here.  Here are some brief comments on the ideas, the econometrics, and data approach: In the paper we study the “matching” between investors and startups in the entrepreneurial finance market.  Broadly speaking, we are concerned with the question of who will invest in who, and in the role played by (social, professional) networks in the explanation. Specifically, we show evidence on a simple idea: due to information related frictions in the entrepreneurial finance market, being closer in the network of connections actually matters for matching. Being closer increases not only the attractiveness of a prospective match, but also makes observable attributes more attractive. But “being closer” has a particular interpretation here. Our measured networked connections, are not the typical social (or follower) style of connections. We recognize a link if there is information that you have worked, invested, mentored, etc. a common startup or organization in the past. So we could say that these are really costly (or “signally meaningful”, in Spence’s sense) connections. For founders (or prospective investors alike)…

Read more

Pages: 1 2

econometrics entrepreneurial finance matching networks paper startups

1/1

Categories

  • Causal Inference (4)
  • Coding Notes (8)
  • Defi (1)
  • Economics (8)
  • Machine Learning (1)
  • Uncategorized (19)
  • Urban Economics (3)

Recent Posts

  • Note on the Impact of Liquidation on Health Factor in Overcollateralized Loans
  • Econometrics with simulations 📚
  • Explicando Inferencia por Aleatorización a un futbolero
  • Optimal calibration of a ML classifier based on business knowledge
  • Note on AMMs “picked-off” risk

Tag Cloud

AMM apps bienes publicos causal inference classification conda COVID-19 criptomonedas cryptocurrencies defi econometrics economía de mercados Ethereum Exportar resultados Export output Financial inclusion financiamiento cuadrático fraud geopandas Geospatial analysis Gitcoin h3 hexagons Households Finance Indebtedness Jupyter Loops machinelearning Mercado de Alquileres MongoDB negocios precision proyectos ingeniería public goods pymongo python quadratic funding recall Regression roc-curve scalability Stata Tablas Tables ubuntu
Rife WordPress Theme ♥ Proudly built by Apollo13Themes - Edit this text

Recent Posts

  • Note on the Impact of Liquidation on Health Factor in Overcollateralized Loans
  • Econometrics with simulations 📚
  • Explicando Inferencia por Aleatorización a un futbolero
  • Optimal calibration of a ML classifier based on business knowledge
  • Note on AMMs “picked-off” risk
  • Un atlas de deudas para Argentina
  • Bienes públicos, Gitcoin, y financiamiento cuadrático
  • An indebtedness atlas for Argentina

Tags

AMM apps bienes publicos causal inference classification conda COVID-19 criptomonedas cryptocurrencies defi econometrics economía de mercados Ethereum Exportar resultados Export output Financial inclusion financiamiento cuadrático fraud geopandas Geospatial analysis Gitcoin h3 hexagons Households Finance Indebtedness Jupyter Loops machinelearning Mercado de Alquileres MongoDB negocios precision proyectos ingeniería public goods pymongo python quadratic funding recall Regression roc-curve scalability Stata Tablas Tables ubuntu