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Impact evaluation based on randomized controlled trials (RCTs) offers a powerful tool that has fundamentally reshaped development economics by offering novel solutions to long-standing problems of weak causal identification. Nonetheless, RCTs suffer important and under-appreciated pitfalls, some of which are intrinsic to the method when applied to economic problems, others that are the result of methodological boosterism. Among the pitfalls are ethical dilemmas, uncontrollable treatments that result in a 'faux exogeneity,' distortion of the research agenda, and a tendency to estimate interventions' abstract efficacy rather than their effectiveness in practice. We illustrate these points through the literature on smallholder capital access and productivity growth. Ultimately, we argue for a methodological pluralism that recognizes all identification strategies' limitations.
Discussions of the use and limits of randomized control trials, considering the power of theory, external validity, gaps in knowledge, and what issues matter. The practice of development economics has undergone something of a revolution as many economists have adopted new methods to answer perennial questions about the effectiveness of anti-poverty programs. In this book, prominent development economists discuss the use and impact of one of the most significant of these new methods, randomized control trials (RCTs) and field experiments. In extended interviews conducted over a period of several years, they explain their work and their thinking and consider the broader issues of how we learn about the world and how we can change it for the better. These conversations offer specialists and nonspecialists alike a unique opportunity to hear economists speak in their own words, free of the confines of a particular study or econometric esoterica. The economists describe how they apply research findings in the way they think about the world, revealing their ideas about the power of theory, external validity, gaps in knowledge, and what issues matter. Also included are interviews with RCT observers, critics, sponsors, consumers, and others. Each interview provides a brief biography of the interviewee. Thorough annotations offer background and explanations for key ideas and studies referred to in the conversations. Contributors Abhijit Banerjee, Nancy Birdsall, Chris Blattman, Alex Counts, Tyler Cowen, Angus Deaton, Frank DeGiovanni, Esther Duflo, Pascaline Dupas, Xavi Gine, Rachel Glennerster, Judy Gueron, Elie Hassenfeld, Dean Karlan, Michael Kremer, David McKenzie, Jonathan Morduch, Lant Pritchett, Jonathan Robinson, Antoinette Schoar, Dean Yang
The winners of the Nobel Prize in Economics upend the most common assumptions about how economics works in this gripping and disruptive portrait of how poor people actually live. Why do the poor borrow to save? Why do they miss out on free life-saving immunizations, but pay for unnecessary drugs? In Poor Economics, Abhijit V. Banerjee and Esther Duflo, two award-winning MIT professors, answer these questions based on years of field research from around the world. Called "marvelous, rewarding" by the Wall Street Journal, the book offers a radical rethinking of the economics of poverty and an intimate view of life on 99 cents a day. Poor Economics shows that creating a world without poverty begins with understanding the daily decisions facing the poor.
A fascinating account of how radical researchers have used experiments to overturn conventional wisdom and shaped life as we know it Experiments have consistently been used in the hard sciences, but in recent decades social scientists have adopted the practice. Randomized trials have been used to design policies to increase educational attainment, lower crime rates, elevate employment rates, and improve living standards among the poor. This book tells the stories of radical researchers who have used experiments to overturn conventional wisdom. From finding the cure for scurvy to discovering what policies really improve literacy rates, Leigh shows how randomistas have shaped life as we know it. Written in a “Gladwell-esque” style, this book provides a fascinating account of key randomized control trial studies from across the globe and the challenges that randomistas have faced in getting their studies accepted and their findings implemented. In telling these stories, Leigh draws out key lessons learned and shows the most effective way to conduct these trials.
This book provides researchers, students, and practitioners with a methodology to evaluate the impacts of a wide diversity of development projects and policies on local economies. Projects and policies often create spillovers within project areas. LEWIE uses simulation methods to quantify these spillovers. It has become a complement to randomized control trials (RCTs), as governments and donors become interested in documenting impacts beyond the treated, comparing the likely impacts of alternative interventions, and designing complementary interventions to influence program and policy impacts. It is also a tool for impact evaluation where RCTs are not feasible. Chapters 1-4 motivate and present the basics of impact simulation, including how to design a LEWIE model, how to estimate the model, and how to obtain the necessary data. The remaining chapters provide a diversity of interesting real-world applications and extensions of the basic models. The applications include evaluations of the impacts of cash transfers for the poor, ecotourism, global food-price shocks, irrigation projects, migration, and corruption. Each chapter provide readers with the tools they need to conduct their own local economy-wide impact evaluations. All models and data used in this book are available on-line.
Development Economics: Theory and Practice provides students and practitioners with the perspectives and the tools they need to think analytically and critically about the current major economic development issues in the world. Alain de Janvry and Elisabeth Sadoulet identify seven key dimensions of development; growth, poverty, vulnerability, inequality, basic needs, sustainability, and quality of life, and use them to structure the contents of the text. This book gives a historical perspective on the evolution of thought in development. It uses theory and empirical analysis to present readers with a full picture of how development works, how its successes and failures can be assessed, and how alternatives can be introduced. The authors demonstrate how diagnostics, design of programs and policies, and impact evaluation can be used to seek new solutions to the suffering and violence caused by development failures. This text is fully engaged with the most cutting edge research in the field, and equips readers with analytical tools for the impact evaluation of development programs and policies, illustrated with numerous examples. It is underpinned throughout by a wealth of student-friendly features including case studies, quantitative problem sets, end-of-chapter questions, and extensive references. This unique text aims at helping readers learn about development, think analytically about achievements and alternative options, and be prepared to compete on the development job market.
How tech companies like Google, Airbnb, StubHub, and Facebook learn from experiments in our data-driven world—an excellent primer on experimental and behavioral economics Have you logged into Facebook recently? Searched for something on Google? Chosen a movie on Netflix? If so, you've probably been an unwitting participant in a variety of experiments—also known as randomized controlled trials—designed to test the impact of different online experiences. Once an esoteric tool for academic research, the randomized controlled trial has gone mainstream. No tech company worth its salt (or its share price) would dare make major changes to its platform without first running experiments to understand how they would influence user behavior. In this book, Michael Luca and Max Bazerman explain the importance of experiments for decision making in a data-driven world. Luca and Bazerman describe the central role experiments play in the tech sector, drawing lessons and best practices from the experiences of such companies as StubHub, Alibaba, and Uber. Successful experiments can save companies money—eBay, for example, discovered how to cut $50 million from its yearly advertising budget—or bring to light something previously ignored, as when Airbnb was forced to confront rampant discrimination by its hosts. Moving beyond tech, Luca and Bazerman consider experimenting for the social good—different ways that governments are using experiments to influence or “nudge” behavior ranging from voter apathy to school absenteeism. Experiments, they argue, are part of any leader's toolkit. With this book, readers can become part of “the experimental revolution.”
Written to provide students with the critical tools and approaches used by development economists, Essentials of Development Economics represents an alternative approach to traditional textbooks on the subject. Compact and less expensive than other textbooks for undergraduate development economics courses, Essentials of Development Economics offers a broad overview of key topics and methods in the field. Its fourteen easy-to-read chapters introduce cutting-edge research and present best practices and state-of-the-art methods. By mastering the material in this time-tested book, students will have the conceptual grounding needed to move on to more advanced development economics courses. This new edition includes: updated references to international development policy process and goals substantial updates to several chapters with new and revised material to make the text both current and policy relevant replacement of several special features with new ones featuring widely cited studies
In 'Field Experiments and Methodological Intolerance,' Glenn Harrison develops a criticism of randomized field experiments and denounces 'intolerance' for lab experiments and a 'disconnect from theory.' We argue that (i) lab experiments and RCTs are based on different methodological approaches and therefore fulfill different scientific objectives; (ii) key features of the RCT methodology make it highly relevant for policy-making, which accounts for a large part of its uptake; (iii) RCTs foster a convergence of interests between policy-makers and researchers around the study of economic mechanisms, which makes it possible to challenge and improve economic theory based on real-world facts; and (iv) hybrid forms of experimentation are being increasingly used and open promising avenues. In sum, economic research based on RCTs is more and more connected to theory and other forms of experiment, while also helping policy-makers tackle daunting problems of poverty and exclusion.