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Cover -- Half Title Page -- Title Page -- Copyright Page -- Original Title Page -- Original Copyright Page -- Dedication Page -- Contents -- Preface -- Chapter I Building A National Consensus -- Chapter II An Amendment of Curious Origins -- Chapter III The Chronology of Ratification -- Chapter IV Triumph in the West -- Chapter V Unexpected Trouble in the South -- Chapter VI Toppling the Keystone: The Amendmentin New York -- Chapter VII Breaking the Iron Rectangle:The Northeastern States -- Chapter VIII The End of the Road -- Chapter IX The Income Tax and the Progressive Era -- Notes -- Bibliography -- Index

This groundbreaking book provides the first systematic comparison of America's modern wars, analyzing how and why the United States has moved from success to failure since WWII. As the United States enters a new period of uncertainty in the world, Caldwell makes the compelling case that leaders must think, plan, and prepare before shooting.

Since the forced resignation of Todor Zhivkov in November of 1989, Bulgaria's transition to democracy has been marked by good beginnings ending in frustration or disappointment. It has avoided the violent ethnic confrontations that have characterized much of the "post-Communist" Balkans, but has also seen the development of an influential criminal

In this book, the authors reject the theorem-proof approach as much as possible, and emphasize the practical application of econometrics. They show with examples how to calculate and interpret the numerical results. This book begins with students estimating simple univariate models, in a step by step fashion, using the popular Stata software system. Students then test for stationarity, while replicating the actual results from hugely influential papers such as those by Granger and Newbold, and Nelson and Plosser. Readers will learn about structural breaks by replicating papers by Perron, and Zivot and Andrews. They then turn to models of conditional volatility, replicating papers by Bollerslev. Finally, students estimate multi-equation models such as vector autoregressions and vector error-correction mechanisms, replicating the results in influential papers by Sims and Granger. The book contains many worked-out examples, and many data-driven exercises. While intended primarily for graduate students and advanced undergraduates, practitioners will also find the book useful.