This brief views the environment through diverse lenses - those of standard economics, institutional economics, political science, environmental science and ecology. Chapter 2 discusses diverse theoretical and statistical models - constrained optimization models, game theory, differential equations, and statistical models for causal inference - in a simple manner. Developing countries have certain distinct environmental problems - traditional pollution and traditional dependence on the commons. While chapters 3 and 4 discuss these specific problems, statistical graphs of the World Development...

This book gives an introduction to R to build up graphing, simulating and computing skills to enable one to see theoretical and statistical models in economics in a unified way. The great advantage of R is that it is free, extremely flexible and extensible. The book addresses the specific needs of economists, and helps them move up the R learning curve. It covers some mathematical topics such as, graphing the Cobb-Douglas function, using R to study the Solow growth model, in addition to statistical topics, from drawing statistical graphs to doing linear and logistic regression. It uses data...

At the heart of data science is data, and the book equips the reader to import and wrangle data, (including network data). The interplay of growth related data and models is presented, before the book introduces the reader to time series data analysis with graphs, simulation, and examples.