1. Introduction and Overview. 2. Detecting Influential Observations and Outliers. 3. Detecting and Assessing Collinearity. 4. Applications and Remedies. 5. Research Issues and Directions for Extensions. Bibliography. Author Index. Subject Index.

Regression Diagnostics: Identifying Influential Data and Sources of Collinearity

Offering a unifying theoretical perspective not readily available in any other text, this innovative guide to econometrics uses simple geometrical arguments to develop students' intuitive understanding of basic and advanced topics, emphasizing throughout the practical applications of modern theory and nonlinear techniques of estimation. One theme of the text is the use of artificial regressions for estimation, reference, and specification testing of nonlinear models, including diagnostic tests for parameter constancy, serial correlation, heteroscedasticity, and other types of mis-specification. Explaining how estimates can be obtained and tests can be carried out, the authors go beyond a mere algebraic description to one that can be easily translated into the commands of a standard econometric software package. Covering an unprecedented range of problems with a consistent emphasis on those that arise in applied work, this accessible and coherent guide to the most vital topics in econometrics today is indispensable for advanced students of econometrics and students of statistics interested in regression and related topics. It will also suit practising econometricians who want to update their skills. Flexibly designed to accommodate a variety of course levels, it offers both complete coverage of the basic material and separate chapters on areas of specialized interest.

Estimation and Inference in Econometrics

This project will deliver help to reduce the vulnerability of poor people in Haiti to the effects of climate change, while at the same time conserving threatened coastal and marine biodiversity. Investments in climateproofed and socially-sustainable BD conservation strategies, within the context of the National Protected Areas System (NPAS), will enable coastal and marine ecosystems to continue to generate Ecosystem-Based Adaptation (EBA) services; while additional investment of adaptation funds in the watersheds which drain into these ecosystems will serve to maximize BD benefits and ecosystem functions, as well as generating EBA benefits for the populations living in the watersheds themselves.

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The United Nations Development Programme

Trade is a cornerstone concept in economics worldwide. This updated second edition of the essential graduate textbook in international trade brings readers to the forefront of knowledge in the field and prepares students to undertake their own research. In Advanced International Trade, Robert Feenstra integrates the most current theoretical approaches with empirical evidence, and these materials are supplemented in each chapter by theoretical and empirical exercises.Feenstra explores a wealth of material, such as the Ricardian and Heckscher-Ohlin models, extensions to many goods and factors, and the role of tariffs, quotas, and other trade policies. He examines imperfect competition, offshoring, political economy, multinationals, endogenous growth, the gravity equation, and the organization of the firm in international trade. Feenstra also includes a new chapter on monopolistic competition with heterogeneous firms, with many applications of that model. In addition to known results, the book looks at some particularly important unpublished results by various authors. Two appendices draw on index numbers and discrete choice models to describe methods applicable to research problems in international trade. Completely revised with the latest developments and brand-new materials, Advanced International Trade is a classic textbook that will be used widely by students and practitioners of economics for a long time to come.Updated second edition of the essential graduate textbookCurrent approaches and a new chapter on monopolistic competition with heterogeneous firmsSupplementary materials in each chapterTheoretical and empirical exercisesTwo appendices describe methods for international trade researchSolutions manual available to professorsProfessors: A supplementary Solutions Manual is available for this book. It is restricted to teachers using the text in courses.

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Advanced International Trade : Theory and Evidence Ed. 2

This paper surveys what is known about the extent of international technology diffusion and channels through which technology spreads. Productivity differences explain much of the variation in incomes across countries, and technology plays a key role in determining productivity. The pattern of worldwide technical change is determined largely by international technology diffusion because a few rich countries account for most of the world's creation of new technology. Cross-country income convergence turns on whether technology diffusion is global or local. There is no indication that international diffusion is inevitable or automatic, but rather, domestic technology investments are necessary. Better understanding of what determines the effectiveness of technology diffusion sheds light on the pace at which the world's technology frontier may expand.

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International Technology Diffusion

The objective of this paper is to provide indicators of trade restrictiveness that include both measures of tariff and nontariff barriers for 91 developing and industrial countries. For each country, the authors estimate three trade restrictiveness indices. The first one summarizes the degree of trade distortions that each country imposes on itself through its own trade policies. The second one focuses on the trade distortions imposed by each country on its import bundle. The last index focuses on market access and summarizes the trade distortions imposed by the rest of the world on each country's export bundle. All indices are estimated for the broad aggregates of manufacturing and agriculture products. Results suggest that poor countries (and those with the highest poverty headcount) tend to be more restrictive, but they also face the highest trade barriers on their export bundle. This is partly explained by the fact that agriculture protection is generally larger than manufacturing protection. Nontariff barriers contribute more than 70 percent on average to world protection, underlying their importance for any study on trade protection.

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Estimating Trade Restrictiveness Indices

To study the effects of tariffs on gross domestic product (GDP), one needs import demand elasticities at the tariff line level that are consistent with GDP maximization. These do not exist. The authors modify Kohli's (1991) GDP function approach to estimate demand elasticities for 4,625 imported goods in 117 countries. Following Anderson and Neary (1992, 1994) and Feenstra (1995), they use these estimates to construct theoretically sound trade restrictiveness indices, and GDP losses associated with existing tariff structures. Countries are revealed to be 30 percent more restrictive than their simple or import-weighted average tariffs would suggest. Thus, distortion is nontrivial. GDP losses are largest in China, Germany, India, Mexico, and the United States.

/pdf/import-demand-elasticities-and-trade-distortions-3qmzx055ow.pdf

Import Demand Elasticities and Trade Distortions

The database described in this article provides researchers with a broad set of data on trade, production, and protection for 28 manufacturing sectors at the three-digit level of the international standard industrial classification. The database covers up to 100 developing and developed countries over the period 1976-2004, but data availability varies by country and year. The trade, production, and protection database includes annual data on trade flows (exports and imports), domestic production (output, value added, employment), and trade protection (tariffs and nontariff barriers) for up to 100 countries over the period 1976-2004. The main contribution of this database is that it merges data from different sources in a common industry classification.

Trade, production, and protection database, 1976-2004

To study the effects of tariffs on gross domestic product (GDP), one needs import demand elasticities at the tariff line level that are consistent with GDP maximization. These do not exist. Kee, Nicita, and Olarreaga modify Kohli's (1991) GDP function approach to estimate demand elasticities for 4,625 imported goods in 117 countries. Following Anderson and Neary (1992, 1994) and Feenstra (1995), they use these estimates to construct theoretically sound trade restrictiveness indices and GDP losses associated with existing tariff structures. Countries are revealed to be 30 percent more restrictive than their simple or import-weighted average tariffs would suggest. Thus, distortion is nontrivial. GDP losses are largest in China, Germany, India, Mexico, and the United States. This paper - a product of the Trade Team, Development Research Group - is part of a larger effort in the group to measure trade restrictiveness.

Marcelo Olarreaga

Papers

Estimating Trade Restrictiveness Indices

Import Demand Elasticities and Trade Distortions

Trade, production, and protection database, 1976-2004

Import Demand Elasticities and Trade Distortions

Export promotion agencies: Do they work?