CGR’s collective contribution to theoretical and empirical research is evidenced by publications in high quality journals in economics and management, including the American Economic Review, Journal of the European Economic Association, Review of Economics and Statistics, Journal of Public Economics, Management Science and Academy of Management. CGR’s interdisciplinary research on innovation and social networks has been published in the world’s top medical journals (Lancet, BMJ, Annals of Surgery) and other leading journals, including Nature. See our working papers below.
CGR Working Papers
“How Do Firms Adjust When Trade Stops?” by Povilas Lastauskas & Aurelija Proskute & Alminas Zaldokas
“Individual Pay for Collective Performance and Deforestation: Evidence from Brazil” by Po Yin Wong & Karlygash Kuralbayeva & Liana O. Anderson & Ana M. Pessoa & Torfinn Harding
“EU-induced Financialisation and Its Impact on the Greek Wage Share, 1999-2021“
by Giorgos Gouzoulis & Panagiotis (Takis) Iliopoulos & Giorgos Galanis
“New trends in South-South migration: The economic impact of COVID-19 and immigration enforcement” by Roxana Gutiérrez-Romero and Nayeli Salgado
“Violence in Guatemala pushes adults and children to seek work in Mexico” by Roxana Gutiérrez-Romero
“A Baseline Model of Behavioral Political Cycles and Macroeconomic Fluctuation” by Giorgos Galanis, Corrado Di Guilmi and Christian Proaño
“COVID-19 response needs to broaden financial inclusion to curb the rise in poverty” by Mostak Ahamed and Roxana Gutiérrez-Romero.
“Conflict in Africa during COVID-19: social distancing, food vulnerability and welfare response” by Roxana Gutiérrez-Romero.
“Inequality, persistence of the informal economy, and club convergence” by Roxana Gutiérrez-Romero.
“Inequality affects long-run growth: Cross-industry, cross-country evidence” by Roxana Gutiérrez-Romero.
“The contrasting effects of ethnic, cultural and immigrant diversity on entrepreneurship and job creation” by Roxana Gutiérrez-Romero.
“Does vocational education pay off in China? Instrumental-variable quantile-regression evidence” by Li Dai and Pedro Martins.