Hugo Reis
Pedro Carneiro
Raul Santaeulalia-Llopis
Diego Restuccia
Chaoran Chen
Brad J. Hershbein
Claudia Macaluso
Chen Yeh
Xuan Tam
Xin Tang
Marina M. Tavares
Adrian Peralta-Alva
Carlos Carillo-Tudela
Felix Koenig
Joze Sambt
Ronald Lee
James Sefton
David McCarthy
Bledi Taska
Carter Braxton
Alp Simsek
Plamen T. Nenov
Gabriel Chodorow-Reich
Virgiliu Midrigan
Corina Boar
Sauro Mocetti
Guglielmo Barone
Steven J. Davis
Nicholas Bloom
José María Barrero
Thomas Sampson
Adrien Matray
Natalie Bau
Darryl Koehler
Laurence J. Kotlikoff
Alan J. Auerbach
Irina Popova
Alexander Ludwig
Dirk Krueger
Nicola Fuchs-Schündeln
Taylor Jaworski
Walker Hanlon
Ludo Visschers
Carlos Carillo-Tudela
Henrik Kleven
Kristian Jakobsen
Katrine Marie Jakobsen
Alessandro Guarnieri
Tanguy van Ypersele
Fabien Petit
Cecilia García-Peñalosa
Yonatan Berman
Nina Weber
Julian Limberg
David Hope
Pedro Tremacoldi-Rossi
Tatiana Mocanu
Marco Ranaldi
Silvia Vannutelli
Raymond Fisman
John Voorheis
Reed Walker
Janet Currie
Roel Dom
Marcos Vera-Hernández
Emla Fitzsimons
José V. Rodríguez Mora
Tomasa Rodrigo
Álvaro Ortiz
Stephen Hansen
Vasco Carvalho
Gergely Buda
Gabriel Zucman
Anders Jensen
Matthew Fisher-Post
José-Alberto Guerra
Myra Mohnen
Christopher Timmins
Ignacio Sarmiento-Barbieri
Peter Christensen
Linda Wu
Gaurav Khatri
Julián Costas-Fernández
Eleonora Patacchini
Jorgen Harris
Marco Battaglini
Ricardo Fernholz
Alberto Bisin
Jess Benhabib
Cian Ruane
Pete Klenow
Mark Bils
Peter Hull
Will Dobbie
David Arnold
Eric Zwick
Owen Zidar
Matt Smith
Ansgar Walther
Tarun Ramadorai

Finance, Wealth and Assets

Stone Econ Research

We develop Generational Wealth Accounts (GWA): the first set of balance sheets, by generations, to include all human capital, tangible wealth, financial wealth, and transfer wealth, and the uses to which these are put, and employ them to quantify inter-generational transfers and the sustainability of consumption. Consumption plans in the UK public sector worsened over the financial crisis and are unsustainable; private sector plans improved, and are now almost balanced. Increases in private capital transfers to the young offset the effect of increased public debt. House price increases shifted resources from young to old but had little effect on sustainability.

Stone Econ Research

We use detailed data on stock portfolios of Norwegian households to show that stock market wealth increases entrepreneurship activity. Our research design isolates idiosyncratic, quasi-random variation in stock market returns. An increase in stock market wealth increases the propensity to start a firm, with the response concentrated in households with moderate levels of financial wealth, for whom a 20 percent increase in stock wealth increases the likelihood to start a firm by about 20%, and in years when the aggregate stock market return in Norway is high. We develop a method to study the effect of wealth on firm outcomes that corrects for the bias introduced by selection into entrepreneurship. An increase in stock market wealth also has a causal effect on initial firm size and profitability. The pass-through from stock wealth into equity in the new firm is one-for-one, indicating that higher stock market wealth relaxes would-be entrepreneurs' financial constraints.

Stone Econ Research

For entrepreneurs and small business owners, housing is an important source of collateral for business loans. This paper explores the implications of changes in house prices for this sort of borrowing and for firm-level outcomes.

Stone Econ Research

In the wake of the Global Financial Crises (GFC), the GDP of most countries failed to recover and catch up with its previous trend. This paper studies the cause of the boom that preceded the crisis and ask whether it was sustainable, or even desirable in the first place.

Stone Econ Research

This paper studies whether higher within-firm pay inequality is driven by managerial talent or managerial rent extraction and whether, ultimately, firms with larger pay disparities have lower valuations.

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Stone Econ Research

The use of machine learning in credit allocation should allow lenders to better extend credit, but the shift from traditional to machine learning lending models may have important distributional effects for consumers. This paper analyzes the effect of machine learning on mortgage lending in the US.

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Finance, Wealth and Assets