Quantitative Methods for Applied Development Economics and Policy Analysis

This volume would prove to be a beneficial textbook option for economics faculties wishing to offer a PhD level course on quantitative developmental economics or applied economics. This reference volume offers a gentle introduction to various state-of-the-art mathematical and econometric modelling techniques with detailed applications. Each chapter, written by experienced scholars, describe a particular quantitative method for economic modelling and policy analysis. The chapters not only cover the theoretical foundations in a student-friendly language but also provide step-by-step guide to computational aspects. Real-world applications, given in each chapter, focus on the socio-economic conditions and well-being of people in the developing economies and middle-income countries.

Provides student-friendly discussions on theoretical, practical aspects of selected quantitative economic models Explains many cutting-edge analytical tools Presents each technique and/or model through examples, a detailed real-life application, and a software guide

Autorentext

Deep Mukherjee is currently a Professor at the School of Economics and Public Policy, RV University. He is an Associate Professor (on leave) at the Department of Economic Sciences and an adjunct faculty at the Kotak School of Sustainability, Indian Institute of Technology (IIT) Kanpur. He obtained his Ph.D. in Agricultural and Resource Economics from the University of Connecticut and M.S. in Quantitative Economics from the Indian Statistical Institute (ISI). His research focuses on issues related to agriculture, energy, and the environment. His teaching interests lie in microeconomics and quantitative methods. He has significant amount of fieldwork experience in the form of extension visits, focus group discussions, and household surveys in various parts of India.

Inhalt

Consumer demand systems application to australian household survey data.- Estimating equivalence scales application from urban india.- Well being human development and poverty with multiple dimensions measurement and analysis.- Inequality analysis using stochastic dominance evaluation of individual income distribution in turkey.- Fuzzy logic technique to model employment poverty relationship application from mena countries.- Social cost benefit analysis with uncertainty a case of waste management alternatives for mumbai.- Matching methods for causal inference the impact of hydraulic fracturing on land use change in north dakota.