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And, in the wrong set of circumstances, he might just be you. Read on the Scribd mobile app Download the free Scribd mobile app to read anytime, anywhere. The book is a dead-set page turner, and there's nothing more fun than feeling like you are next to them as they travel the world in search of the scoundrels responsible for so much suffering. Statistics on amounts embezzled or number of people killed in a genocide lack precision, where they exist at all. He's the United Nations diplomat who double-parks his Mercedes on New York City streets at rush hour because the cops can't touch him--he has diplomatic immunity. Robert M.
Bikal Dhungel. Lukas Geise. Local Government in Nigeria. Anthony Anamgba. Dent, Jr.
Summary: Collapse - Jared Diamond. In Economic Gangsters, Raymond Fisman and Edward Miguel take readers into the secretive, chaotic, and brutal worlds inhabited by these lawless and violent thugs. Join these two sleuthing economists as they follow the foreign aid money trail into the grasping hands of corrupt governments and shady underworld characters.
Spend time with ingenious black marketeers as they game the international system. Follow the steep rise and fall of stock prices of companies with unseemly connections to Indonesia's former dictator. See for yourself what rainfall has to do with witch killings in Tanzania--and more. Fisman and Miguel use economics to get inside the heads of these gangsters, and propose solutions that can make a difference to the world's poor--including cash infusions to defuse violence in times of drought, and steering the World Bank away from aid programs most susceptible to corruption.
In a new postscript, the authors look at how economists might use new tools to better understand, and fight back against, corruption and violence in the aftermath of the financial crisis. Take an entertaining walk on the dark side of global economic development with Economic Gangsters. Toon meer Toon minder. For example, they look at the way 'witches' are killed in Tanzania whenever rainfalls fail and food is scarce; it turns out that families try to save food by executing less-productive elderly women as witches.
Each is driven to better understand just what keeps poor countries in poverty, and they are willing to try some pretty amazing research strategies to figure it out. They have traveled far and wide--both geographically and intellectually--and in their beautifully written book Economic Gangsters, they shine a well-honed statistical spotlight on the twin evils of corruption and violence.
The book is a dead-set page turner, and there's nothing more fun than feeling like you are next to them as they travel the world in search of the scoundrels responsible for so much suffering.
Reminiscent of other lighter looks at economics, e. Levitt and Stephen J. Dubner's Freakonomics and Tim Harford's The Undercover Economist, this book makes developmental economics both entertaining and accessible to a broad audience. This thorough, thoughtful guide to global corruption is an engaging, disarmingly upbeat read for fans of Freakonomics and Malcolm Gladwell. He has written Economic Gangsters and in it he and co-author Edward Miguel trace the steps oft eh corrupt using not DNA or forensic science but data and statistics.
Theirs is a treatment to the truism that when you are looking for clues, follow the money. The book gives half a dozen examples of how data can be used to find corrupt behaviour, particularly in developing countries. Economic Gangsters tackles two big 'institutional' problems of development economics--corruption and violence--through a series of vignettes based on research.
Their effort stands out among many others for their cool-headed application of economic cost-benefit analysis to this shady human behavior. It's a superbly crafted set of essays that raise the bar for clear, accessible pop-economics writing, and offers an excellent overview of recent research into the corruption, violence, and poverty that have long bedeviled the developing world.
So far this is sounding very much like Steven Levitt's and Stephen Dubner's Freakonomics: looking for an interesting data set with which to test a certain hypothesis, and indeed the basic approach is similar.