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A theoretical analysis of international trade and industrial policy, developing and using new models of trade with imperfect competition. Modeling of imperfect competition within international trade has been difficult until recent breakthroughs in this area, which have provided a more realistic view of the world economy. The book builds on the advances provided by such tools as game theory and the theory of monopolistic competition. The first section covers broad and basic trade issues which arise under imperfect competition. Section two examines implications for trade policy covering issues such as strategic trade policy in static and dynamic settings. Section three deals with various structural issues, such as optimal choice of trade liberalizing policies, the formation of trade blocks, and open dualistic economy with externalities.
A theoretical analysis of international trade and industrial policy, developing and using new models of trade with imperfect competition. Modeling of imperfect competition within international trade has been difficult until recent breakthroughs in this area, which have provided a more realistic view of the world economy. The book builds on the advances provided by such tools as game theory and the theory of monopolistic competition. The first section covers broad and basic trade issues which arise under imperfect competition. Section two examines implications for trade policy covering issues such as strategic trade policy in static and dynamic settings. Section three deals with various structural issues, such as optimal choice of trade liberalizing policies, the formation of trade blocks, and open dualistic economy with externalities.
This O’Reilly cookbook provides more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly—without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project and includes a discussion of how and why the recipe works. Most of the recipes in this second edition use the updated version of the ggplot2 package, a powerful and flexible way to make graphs in R. You’ll also find expanded content about the visual design of graphics. If you have at least a basic understanding of the R language, you’re ready to get started with this easy-to-use reference. Use R’s default graphics for quick exploration of data Create a variety of bar graphs, line graphs, and scatter plots Summarize data distributions with histograms, density curves, box plots, and more Provide annotations to help viewers interpret data Control the overall appearance of graphics Explore options for using colors in plots Create network graphs, heat maps, and 3D scatter plots Get your data into shape using packages from the tidyverse
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