Friday, December 12, 2008

Losing Hearts and Minds or The Econometric Modelling of Financial Time Series

Losing Hearts and Minds: Public Diplomacy and Strategic Influence in the Age of Terror

Author: Carnes Lord

There is a broad consensus among informed observers both inside and outside the Beltway that American public diplomacy leaves much to be desired. Recent studies describe ineffectiveness, inadequate resources, and a general lack of direction. Further complicating this situation, there is no real consensus among critics on what must be done to fix current problems. Moreover, the ills afflicting public diplomacy are poorly understood. Losing Hearts and Minds? situates these problems within the complex environment of U.S. government bureaucracy, and relates them to other instruments of national power, particularly diplomatic activities and military force. This book prompts debate by analyzing obstacles to effective public diplomacy, and offers a comprehensive vision of this critical dimension of statecraft, which without improvements will ill serve the nation in its ongoing efforts to counter the global threat of terror.

Foreign Affairs

Lord, national security adviser to the vice president during theGeorge H. W. Bush administration, weighs in on the vital debate over public diplomacy, offering both analysis of and prescriptions for some of the most complex issues facing U.S. foreign policy today. Lord believes that public diplomacy is a matter of strategic importance and that bureaucratic disarray, intellectual confusion, and political squeamishness are preventing the United States from performing this task successfully. Whereas many writers on the subject focus exclusively on the State Department, Lord never forgets that both the Pentagon and the intelligence agencies have a history of engagement in the field as well. The Bush administration has not, argues Lord, handled public diplomacy particularly well, and neither did the Clinton administration. He makes a strong case that a broad review of public diplomacy is urgently needed, and his holistic approach and unblinking focus on the relationship of public diplomacy to U.S. grand strategy will greatly benefit such a review. Much of what Lord says will be controversial, but a healthy dose of controversy may help stimulate the wide-ranging debate this important subject urgently needs.



Table of Contents:
Ch. 1Introduction1
Ch. 2Strategic influence and soft power15
Ch. 3Public diplomacy and psychological-political warfare27
Ch. 4Strategic influence in the age of terror37
Ch. 5Problems of legitimacy : the cultural context57
Ch. 6Problems of organization : the bureaucratic context65
Ch. 7The state department : back to the future?73
Ch. 8International broadcasting : who's in charge?83
Ch. 9The defense department : into the act?93
Ch. 10The White House : key to the game?103
Ch. 11Strategic influence and the future111

Read also Keys to Nursing Success or Shoveling Fuel for a Runaway Train

The Econometric Modelling of Financial Time Series

Author: Terence C Mills

Terence Mills' best-selling graduate textbook provides detailed coverage of the latest research techniques and findings relating to the empirical analysis of financial markets. In its previous editions it has become required reading for many graduate courses on the econometrics of financial modelling. The third edition, co-authored with Raphael Markellos, contains a wealth of new material reflecting the developments of the last decade. Particular attention is paid to the wide range of nonlinear models that are used to analyse financial data observed at high frequencies and to the long memory characteristics found in financial time series. The central material on unit root processes and the modelling of trends and structural breaks has been substantially expanded into a chapter of its own. There is also an extended discussion of the treatment of volatility, accompanied by a new chapter on nonlinearity and its testing.



1 comment:

Anonymous said...

I know this won't satisfy you, but it doesn't matter. Its just a scale he created ranging from 0 to 1. Obviously, a zero to one scale has a lot of desirable mathematical properties (because the points no the scale are a proportion). So a lot of people use this. I'm looking at job matching models now where they assume a "job search intensity" between 0 and 1. The neat thing is, its easy to reduce other scales to a 0 to 1 scale. For example, in a logistic function: "z = (e^x/1+e^x)", z will have the exact same ordering of values as x will, but where x can have any range, z is forced to be between 0 and 1. So that's how a lot of people transform scales - or something similar to that. So z isn't a perfect representative of x, but it is great for answering questions like "when x increases what happens to y" if x and y both have to be converted to a zero to one variable.