Sunday, February 15, 2009

The Coming Democracy or Bayesian Inference in Dynamic Econometric Models

The Coming Democracy: New Rules for Running a New World

Author: Ann Florini

National governments are proving ill-equipped to manage an increasingly complicated suite of global problems, from infectious diseases to climate change to conflicts over international trade. In The Coming Democracy, leading political analyst Ann Florini sets forth a compelling new paradigm for transnational governance, one based on the concept of "transparency"— the idea that the free flow of information (on topics ranging from corporate and government behavior to nuclear proliferation to biodiversity protection) provides powerful ways to hold decision makers accountable and to give ordinary people meaningful voice in shaping the policies that affect them. Dramatic breakthroughs in information technology of the past decade have made such transparency possible on a global scale.

Florini offers a clear and comprehensive assessment of the possibilities for using transparency to develop effective approaches to transnational governance. She shows how this new form of governance promises real hope for managing global problems, and provides a compelling scenario that demonstrates how existing conventions and institutions can lead the way in the evolution of a better system of global governance.

Foreign Affairs

In this provocative exploration of global governance, Florini argues that the mounting environmental, socioeconomic, and security challenges of the twenty-first century cannot be managed by the old institutions of the post-1945 era. Effective collective action today requires new forums and cooperative mechanisms that bring transnational and local groups directly into international decision-making. World government is not the answer, but neither is decentralized national or market-based governance. Instead, Florini recommends a new system that incorporates public and private, national and transnational actors into agglomerated representative bodies. The challenge is to engineer such a system without sacrificing democratic accountability. Florini's book begins by exploring the theory and practice of nonstate democratic-based governance, where voice and transparency are built into multilateral decision-making. Other chapters examine the role of national governments, private enterprises, and civil society in the creation of new global rules. Florini ends by applying these ideas to current debates about globalization and sustainable development. The result is a lively and sophisticated glimpse at the coming battle over global governance.

What People Are Saying

Robert O. Keohane
Optimism and a sense of public spirit infuse the pages of THE COMING DEMOCRACY, which makes a case for greater transparency to improve the quality of global governance. THE COMING DEMOCRACY will stimulate debate about its argument, and presents and inspiring message for those who seek to promote progressive change.
Professor of International Affairs, Woodrow Wilson School of Public and International Affairs, Princeton University


Joseph Stiglitz
". . . a beautifully written, highly accessible, authoritative explanation of how the world is changing and what we can do about those changes."
author of GLOBALIZATION AND ITS DISCONTENTS


Foreign Affairs
"A lively and sophisticated glimpse at the coming battle over global governance."


Thomas Homer-Dixon
A terrifically important book.
Director of the Trudeau Centre for Peace and Conflict Studies at the University of Toronto and author of THE INGENUITY GAP




Books about: La Réalisation de Société Économique

Bayesian Inference in Dynamic Econometric Models

Author: Luc Bauwens

This book offers an up-to-date coverage of the basic principles and tools of Bayesian inference in econometrics, with an emphasis on dynamic models. It shows how to treat Bayesian inference in non linear models, by integrating the useful developments of numerical integration techniques based on simulations , and the long available analytical results of Bayesian inference for linear regression models.



Table of Contents:
Chapter 1: Decision Theory and Bayesian Inference

Chapter 2: Bayesian Statistics and Linear Regression

Chapter 3: Methods of Numerical Integration

Chapter 4: Prior Densities for the Regression Model

Chapter 5: Dynamic Regression Models

Chapter 6: Bayesian Unit Roots

Chapter 7: Heteroskedasticity and ARCH

Chapter 8: Nonlinear Tome Series Models

Chapter 9: Systems of Equations

Appendix A: Probability Distributions

Appendix B: Generating Random Numbers

Chapter 1: Decision Theory and Bayesian Inference

Chapter 2: Bayesian Statistics and Linear Regression

Chapter 3: Methods of Numerical Integration

Chapter 4: Prior Densities for the Regression Model

Chapter 5: Dynamic Regression Models

Chapter 6: Bayesian Unit Roots

Chapter 7: Heteroskedasticity and ARCH

Chapter 8: Nonlinear Tome Series Models

Chapter 9: Systems of Equations

Appendix A: Probability Distributions

Appendix B: Generating Random Numbers

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