Focusing on quantitative economics through the lens of data science, this book introduces R and RStudio, utilizing Hadley Wickham's tidyverse package for data analysis. It offers a gradual learning curve, starting with basic R coding and progressively enhancing the reader's skills through practical "your turn" exercises, ensuring a hands-on approach to mastering data analysis techniques in a contemporary context.
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 Indicators explore the macro-context of developing countries in chapter 1. Chapter 5 examines ecological systems, which are nonlinear and unpredictable, and subject to sudden regime shifts. Chapter 6 deals with the global challenges of climate change and biological invasions. The last chapter discusses sustainable development and institutions. The brief explains these topics simply; mathematics is largely confined to an appendix. The broad treatment and simple exposition will appeal to students new to the field of economics. The extension of core economic models in diverse directions will also be of interest to economists looking for a different treatment of the subject.
Graphing, Simulating and Computing
Focusing on the unique capabilities of R, this book offers a practical introduction tailored for economists, enhancing their graphing, simulation, and computational skills. It covers essential mathematical and statistical topics, including the Cobb-Douglas function and the Solow growth model, while also addressing basic econometrics. By utilizing downloadable data and various R packages, it provides a hands-on approach to quantitative economics. Ideal for students and professionals eager to master R, it bridges theoretical models with real-world data analysis.