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.

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.

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.

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.