Perspectives on Economic Development and Policy in India: In Honour of Suresh D. Tendulkar

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The book pays tribute to the celebrated economist Professor Suresh Tendulkar’s contribution and scholarship to economics, economic-policy making, and economic reforms in India. Professor Tendulkar served on numerous panels and commissions set up to reform diverse aspects of India’s economy. To name a few, he served as the Chairperson of the Prime Minister’s Economic Advisory Council, Chairman of the National Commission of Statistics, National Sample Survey Organisation, Committee on National Accounts, and as a member in the Fifth Pay Commission, the Disinvestment Commission (1996). He is credited with devising the new method to estimate poverty in India which resulted in India’s poverty estimates being scaled up.

This book primarily focuses on Professor Tendulkar’s contributions on economic planning in India, the political economy of economic reforms, and his important conceptual and policy-relevant work on poverty measurement. The three sub-themes of the book – Economic Reforms and Policy Formulation, Poverty and Inequality, and Development and Trade – are indicative of his specific research interests, namely poverty and well-being, and India and the world economy. It covers both micro and macro aspects relevant to the Indian economy. The econometric techniques utilized encompass state-of-the-art microeconometric as well as macroeconometric models. The book contains contributions from eminent economists associated with Professor Tendulkar, and is useful for readers from the undergraduate through the Ph.D. level as well as researchers and practitioners of economics.

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About the author

Prof. K.L. Krishna is currently Chairperson of Madras Institute of Development Studies. He has been leading the India KLEMS Productivity project, funded by the Reserve Bank of India, as part of the World KLEMS Initiative, since 2009. In the past, he has served as Director, Delhi School of Economics; Head, Department of Economics as well as Dean, Faculty of Social Sciences, University of Delhi. He was also Executive Director, Centre for Development Economics; Founder Managing Editor, Journal of Quantitative Economics; and President, The Indian Econometric Society. He did his Ph.D. in Economics from the University of Chicago and is an expert on econometrics, industrial economics, economics of productivity, regional inequality and empirics of trade.

Prof. Vishwanath Pandit is former Vice-Chancellor of the Sri Sathya Sai Institute of Higher Learning (Deemed University). He has served as Head of the Department of Economics, Delhi School of Economics and is former Executive Director of Centre for Development Economics and President of The Indian Econometric Society. He was honoured with the UGC Swami Pramavanada Saraswati National Award for 2004. He completed his Ph.D. from the University of Pennsylvania under Late Nobel Laureate Prof. Lawrence Klein and has worked extensively on macroeconomics and policy modelling, especially in the context of India.

Prof. K. Sundaram is Chairman, Advisory Committee on National Accounts Statistics, Central Statistical Organization, GoI and member, Expert Group to Review the Methodology for Measurement of Poverty, Planning Commission, GoI. He served as Head, Department of Economics as well as Dean, Faculty of Social Sciences, University of Delhi. Additionally, he was Regional Adviser, Asia and Pacific, International Labour Organization (Bangkok) and was associated with the National Sample Survey Organization, GoI. He received his Doctorate from the Delhi School of Economics and his research interests cover population and development; employment, unemployment and poverty in India; and, public finance.

Prof. Pami Dua is Director and Professor of Economics, Delhi School of Economics as well as Chairperson, Research Council and Dean, Academic Activities and Projects, University of Delhi. She is currently serving as a member of the Monetary Policy Committee of the Reserve Bank of India. She is also former President of the Indian Econometric Society. She obtained her Ph.D. in Economics from London School of Economics and has published widely in time series econometrics, forecasting, macroeconometrics and business cycle analysis. br”

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Additional Information

Publisher
Springer
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Published on
Dec 5, 2016
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Pages
232
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ISBN
9789811031502
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Language
English
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Genres
Business & Economics / Development / Economic Development
Business & Economics / Development / General
Business & Economics / Economics / General
Political Science / Public Policy / Economic Policy
Social Science / Developing & Emerging Countries
Social Science / Poverty & Homelessness
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Content Protection
This content is DRM protected.
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J. D. Vance
NEW YORK TIMES BESTSELLER

"A riveting book."—The Wall Street Journal

"Essential reading."—David Brooks, New York Times

From a former marine and Yale Law School graduate, a powerful account of growing up in a poor Rust Belt town that offers a broader, probing look at the struggles of America’s white working class

Hillbilly Elegy is a passionate and personal analysis of a culture in crisis—that of white working-class Americans. The decline of this group, a demographic of our country that has been slowly disintegrating over forty years, has been reported on with growing frequency and alarm, but has never before been written about as searingly from the inside. J. D. Vance tells the true story of what a social, regional, and class decline feels like when you were born with it hung around your neck.

The Vance family story begins hopefully in postwar America. J. D.’s grandparents were “dirt poor and in love,” and moved north from Kentucky’s Appalachia region to Ohio in the hopes of escaping the dreadful poverty around them. They raised a middle-class family, and eventually their grandchild (the author) would graduate from Yale Law School, a conventional marker of their success in achieving generational upward mobility.

But as the family saga of Hillbilly Elegy plays out, we learn that this is only the short, superficial version. Vance’s grandparents, aunt, uncle, sister, and, most of all, his mother, struggled profoundly with the demands of their new middle-class life, and were never able to fully escape the legacy of abuse, alcoholism, poverty, and trauma so characteristic of their part of America. Vance piercingly shows how he himself still carries around the demons of their chaotic family history.

A deeply moving memoir with its share of humor and vividly colorful figures, Hillbilly Elegy is the story of how upward mobility really feels. And it is an urgent and troubling meditation on the loss of the American dream for a large segment of this country.

Subhash C. Ray
This book provides a detailed introduction to the theoretical and methodological foundations of production efficiency analysis using benchmarking. Two of the more popular methods of efficiency evaluation are Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA), both of which are based on the concept of a production possibility set and its frontier. Depending on the assumed objectives of the decision-making unit, a Production, Cost, or Profit Frontier is constructed from observed data on input and output quantities and prices. While SFA uses different maximum likelihood estimation techniques to estimate a parametric frontier, DEA relies on mathematical programming to create a nonparametric frontier. Yet another alternative is the Convex Nonparametric Frontier, which is based on the assumed convexity of the production possibility set and creates a piecewise linear frontier consisting of a number of tangent hyper planes.

Three of the papers in this volume provide a detailed and relatively easy to follow exposition of the underlying theory from neoclassical production economics and offer step-by-step instructions on the appropriate model to apply in different contexts and how to implement them. Of particular appeal are the instructions on (i) how to write the codes for different SFA models on STATA, (ii) how to write a VBA Macro for repetitive solution of the DEA problem for each production unit on Excel Solver, and (iii) how to write the codes for the Nonparametric Convex Frontier estimation. The three other papers in the volume are primarily theoretical and will be of interest to PhD students and researchers hoping to make methodological and conceptual contributions to the field of nonparametric efficiency analysis.

Matthew Desmond
WINNER OF THE 2017 PULITZER PRIZE GENERAL NON-FICTION 

From Harvard sociologist and MacArthur "Genius" Matthew Desmond, a landmark work of scholarship and reportage that will forever change the way we look at poverty in America
 
In this brilliant, heartbreaking book, Matthew Desmond takes us into the poorest neighborhoods of Milwaukee to tell the story of eight families on the edge. Arleen is a single mother trying to raise her two sons on the $20 a month she has left after paying for their rundown apartment. Scott is a gentle nurse consumed by a heroin addiction. Lamar, a man with no legs and a neighborhood full of boys to look after, tries to work his way out of debt. Vanetta participates in a botched stickup after her hours are cut. All are spending almost everything they have on rent, and all have fallen behind.

The fates of these families are in the hands of two landlords: Sherrena Tarver, a former schoolteacher turned inner-city entrepreneur, and Tobin Charney, who runs one of the worst trailer parks in Milwaukee. They loathe some of their tenants and are fond of others, but as Sherrena puts it, “Love don’t pay the bills.” She moves to evict Arleen and her boys a few days before Christmas.

Even in the most desolate areas of American cities, evictions used to be rare. But today, most poor renting families are spending more than half of their income on housing, and eviction has become ordinary, especially for single mothers. In vivid, intimate prose, Desmond provides a ground-level view of one of the most urgent issues facing America today. As we see families forced  into shelters, squalid apartments, or more dangerous neighborhoods, we bear witness to the human cost of America’s vast inequality—and to people’s determination and intelligence in the face of hardship.

Based on years of embedded fieldwork and painstakingly gathered data, this masterful book transforms our understanding of extreme poverty and economic exploitation while providing fresh ideas for solving a devastating, uniquely American problem. Its unforgettable scenes of hope and loss remind us of the centrality of home, without which nothing else is possible.

NEW YORK TIMES BESTSELLER | WINNER OF THE NATIONAL BOOK CRITICS CIRCLE AWARD FOR NONFICTION | WINNER OF THE PEN/JOHN KENNETH GALBRAITH AWARD FOR NONFICTION | WINNER OF THE ANDREW CARNEGIE MEDAL FOR EXCELLENCE IN NONFICTION | FINALIST FOR THE LOS ANGELES TIMES BOOK PRIZE | NAMED ONE OF THE BEST BOOKS OF THE YEAR by The New York Times Book Review • The Boston Globe •  The Washington Post • NPR • Entertainment Weekly • The New Yorker • Bloomberg •  Esquire • Buzzfeed • Fortune • San Francisco Chronicle • Milwaukee Journal Sentinel • St. Louis Post-Dispatch •  Politico •  The Week • Bookpage • Kirkus Reviews •  Amazon •  Barnes and Noble Review •  Apple •  Library Journal • Chicago Public Library • Publishers Weekly • Booklist • Shelf Awareness
Ron Hall
Read the critically acclaimed New York Times best-seller with more than one million copies in print. Same Kind of Different as Me was a major motion picture release by Paramount in fall 2017.

Gritty with pain and betrayal and brutality, this true story also shines with an unexpected, life-changing love.

Meet Denver, raised under plantation-style slavery in Louisiana until he escaped the “Man” – in the 1960’s – by hopping a train. Non-trusting, uneducated, and violent, he spent another 18 years on the streets of Dallas and Fort Worth.

Meet Ron Hall, a self-made millionaire in the world of high priced art deals -- concerned with fast cars, beautiful women, and fancy clothes.

And the woman who changed their lives -- Miss Debbie: “The skinniest, nosiest, pushiest, woman I ever met, black or white.” She helped the homeless and gave of herself to all of “God’s People,” and had a way of knowing how to listen and helping others talk and be found – until cancer strikes.

Same Kind of Different as Me is a tale told in two unique voices – Ron Hall & Denver Moore – weaving two completely different life experiences into one common journey where both men learn “whether we is rich or poor or something in between this earth ain’t no final restin’ place. So in a way, we is all homeless-just workin’ our way toward home.”

The story takes a devastating twist when Deborah discovers she has cancer. Will Deborah live or die? Will Denver learn to trust a white man? Will Ron embrace his dying wife's vision to rescue Denver? Or will Denver be the one rescuing Ron? There's pain and laughter, doubt and tears, and in the end a triumphal story that readers will never forget.

Continue this story of friendship in What Difference Do It Make?: Stories of Hope and Healing, available now. Same Kind of Different as Me also is available in Spanish.

Subhash C. Ray
This book provides a detailed introduction to the theoretical and methodological foundations of production efficiency analysis using benchmarking. Two of the more popular methods of efficiency evaluation are Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA), both of which are based on the concept of a production possibility set and its frontier. Depending on the assumed objectives of the decision-making unit, a Production, Cost, or Profit Frontier is constructed from observed data on input and output quantities and prices. While SFA uses different maximum likelihood estimation techniques to estimate a parametric frontier, DEA relies on mathematical programming to create a nonparametric frontier. Yet another alternative is the Convex Nonparametric Frontier, which is based on the assumed convexity of the production possibility set and creates a piecewise linear frontier consisting of a number of tangent hyper planes.

Three of the papers in this volume provide a detailed and relatively easy to follow exposition of the underlying theory from neoclassical production economics and offer step-by-step instructions on the appropriate model to apply in different contexts and how to implement them. Of particular appeal are the instructions on (i) how to write the codes for different SFA models on STATA, (ii) how to write a VBA Macro for repetitive solution of the DEA problem for each production unit on Excel Solver, and (iii) how to write the codes for the Nonparametric Convex Frontier estimation. The three other papers in the volume are primarily theoretical and will be of interest to PhD students and researchers hoping to make methodological and conceptual contributions to the field of nonparametric efficiency analysis.

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