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.

This work combines research and empirical evidence on the economic costs of disasters with theoretical approaches. It provides new insights on how to assess and manage the costs and impacts of disaster prevention, mitigation, recovery and adaption, and much more.

The emergence of severe acute respiratory syndrome (SARS) in late 2002 and 2003 challenged the global public health community to confront a novel epidemic that spread rapidly from its origins in southern China until it had reached more than 25 other countries within a matter of months. In addition to the number of patients infected with the SARS virus, the disease had profound economic and political repercussions in many of the affected regions. Recent reports of isolated new SARS cases and a fear that the disease could reemerge and spread have put public health officials on high alert for any indications of possible new outbreaks. This report examines the response to SARS by public health systems in individual countries, the biology of the SARS coronavirus and related coronaviruses in animals, the economic and political fallout of the SARS epidemic, quarantine law and other public health measures that apply to combating infectious diseases, and the role of international organizations and scientific cooperation in halting the spread of SARS. The report provides an illuminating survey of findings from the epidemic, along with an assessment of what might be needed in order to contain any future outbreaks of SARS or other emerging infections.

This book describes the new generation of discrete choice methods, focusing on the many advances that are made possible by simulation. Researchers use these statistical methods to examine the choices that consumers, households, firms, and other agents make. Each of the major models is covered: logit, generalized extreme value, or GEV (including nested and cross-nested logits), probit, and mixed logit, plus a variety of specifications that build on these basics. Simulation-assisted estimation procedures are investigated and compared, including maximum stimulated likelihood, method of simulated moments, and method of simulated scores. Procedures for drawing from densities are described, including variance reduction techniques such as anithetics and Halton draws. Recent advances in Bayesian procedures are explored, including the use of the Metropolis-Hastings algorithm and its variant Gibbs sampling. The second edition adds chapters on endogeneity and expectation-maximization (EM) algorithms. No other book incorporates all these fields, which have arisen in the past 25 years. The procedures are applicable in many fields, including energy, transportation, environmental studies, health, labor, and marketing.