Imagen de portada para Good economics for hard times / Abhijit V. Banerjee & Esther Duflo.
Título:
Good economics for hard times / Abhijit V. Banerjee & Esther Duflo.
ISBN:
9781610399500
Edición:
First edition.
Información de publicación:
New York : PublicAffairs, [2019]

©2019
Descripción física:
x, 403 pages : illustrations ; 25 cm
Contenido:
MEGA : make economics great again -- From the mouth of the shark -- Pains from trade -- Likes, wants, and needs -- End of growth? -- In hot water -- Player piano -- Legit.gov -- Cash and care -- Conclusion : good and bad economics.
Síntesis:
Figuring out how to deal with today's critical ecnomic problems is perhaps the great challenge of our time. Much greater than space travel or perhaps even the next revolutionary medical breakthrough, what is at stake is the whole idea of the good life as we have known it. Immigration and inequality, globalization and technological disruption, slowing growth and accelerating climate change - thjese are sources of great anxiety across the world, from New Delhi and Dakar to Paris and Washington, DC.The resources to address these challenges are there - what we lack are ideas that will help us jump the wall of disagreement and distrust that divides us. If we succeed, history will remember our era with gratitude: if we fail, the potential losses are incalculable. In this revolutionary book, renowned MIT economists Abijit V. Banerjee and Esther Duflo take on this challenge, building on cutting-edge research in economics explained with lucidity and grace. Original, provocative, and urgent, Good Economics for Hard Times makes a persuasive case for an intelligent interventionism and a society built on compassion and respect. It is an extraordinary achievement, one that shines a light to help us appreciate and understand our precariously balanced world. -- From dust jacket.
Autor añadido:
DAK_OCLC_NUMBER:
on1126008074
Disponibilidad:
Inver Grove Heights - Inver Glen~1

Apple Valley - Galaxie~1

Rosemount - Robert Trail~1

Eagan - Wescott~1
Reservas: