Kirjahaku

This book challenges the conventional wisdom that natural resource wealth promotes autocracy. Oil and other forms of mineral wealth can promote both authoritarianism and democracy, the book argues, but they do so through different mechanisms; an understanding of these different mechanisms can help elucidate when either the authoritarian or democratic effects of resource wealth will be relatively strong. Exploiting game-theoretic tools and statistical modeling as well as detailed country case studies and drawing on fieldwork in Latin America and Africa, this book builds and tests a theory that explains political variation across resource-rich states. It will be read by scholars studying the political effects of natural resource wealth in many regions, as well as by those interested in the emergence and persistence of democratic regimes.

This book challenges the conventional wisdom that natural resource wealth promotes autocracy. Oil and other forms of mineral wealth can promote both authoritarianism and democracy, the book argues, but they do so through different mechanisms; an understanding of these different mechanisms can help elucidate when either the authoritarian or democratic effects of resource wealth will be relatively strong. Exploiting game-theoretic tools and statistical modeling as well as detailed country case studies and drawing on fieldwork in Latin America and Africa, this book builds and tests a theory that explains political variation across resource-rich states. It will be read by scholars studying the political effects of natural resource wealth in many regions, as well as by those interested in the emergence and persistence of democratic regimes.

This unique book is the first comprehensive guide to the discovery, analysis, and evaluation of natural experiments - an increasingly popular methodology in the social sciences. Thad Dunning provides an introduction to key issues in causal inference, including model specification, and emphasizes the importance of strong research design over complex statistical analysis. Surveying many examples of standard natural experiments, regression-discontinuity designs, and instrumental-variables designs, Dunning highlights both the strengths and potential weaknesses of these methods, aiding researchers in better harnessing the promise of natural experiments while avoiding the pitfalls. Dunning also demonstrates the contribution of qualitative methods to natural experiments and proposes new ways to integrate qualitative and quantitative techniques. Chapters complete with exercises and appendices covering specialized topics such as cluster-randomized natural experiments, make this an ideal teaching tool as well as a valuable book for professional researchers.