Sensitivity Analysis Of Fiml Estimates In Nonlinear Econometric Models

Sensitivity Analysis of FIML-estimates in Nonlinear Econometric Models

Mathematical Programming The State of the Art

In the late forties, Mathematical Programming became a scientific discipline in its own right. Since then it has experienced a tremendous growth. Beginning with economic and military applications, it is now among the most important fields of applied mathematics with extensive use in engineering, natural sciences, economics, and biological sciences. The lively activity in this area is demonstrated by the fact that as early as 1949 the first "Symposium on Mathe matical Programming" took place in Chicago. Since then mathematical programmers from all over the world have gath ered at the intfrnational symposia of the Mathematical Programming Society roughly every three years to present their recent research, to exchange ideas with their colleagues and to learn about the latest developments in their own and related fields. In 1982, the XI. International Symposium on Mathematical Programming was held at the University of Bonn, W. Germany, from August 23 to 27. It was organized by the Institut fUr Okonometrie und Operations Re search of the University of Bonn in collaboration with the Sonderforschungs bereich 21 of the Deutsche Forschungsgemeinschaft. This volume constitutes part of the outgrowth of this symposium and docu ments its scientific activities. Part I of the book contains information about the symposium, welcoming addresses, lists of committees and sponsors and a brief review about the Ful kerson Prize and the Dantzig Prize which were awarded during the opening ceremony.

Evaluating Policy Regimes

Economists have long debated the theoretical merits—for an individual nation and for a multi-nation world economy—of alternative approaches to the conduct of economic policy. Yet theory alone cannot resolve the important issues at stake. Only after the robustness of policy regimes has been carefully examined with empirical evidence will policymakers and economists be able to reach more of a consensus. This pathbreaking volume takes major steps forward in meeting the need for a combination of theoretical and empirical evaluations of alternative policy regimes. Bringing together individuals and groups doing pioneering research on macroeconomic interaction, it explores what approach to monetary policy would lead to superior performance by individual national economies and the world economy as a whole. Many parts of the book use the analytical techniques of stochastic simulation, an evaluation procedure increasingly employed at the frontier of empirical economic analysis. The book provides a summary of the hey issues involved in evaluating policy regimes and clarifies the relationships among those issues. The authors examine the stabilization properties of alternative monetary-policy regimes and analyze how well various regime types perform in the face of unexpected shocks to national economies. Among their conclusions, they find that some simplified regimes for monetary policy are markedly less promising than others for achieving the stabilization objectives commonly sought by policymakers. Evaluating Policy Regimes is another major installment in a continuing world wide research project, sponsored by the Brookings Institution, to improve empirical knowledge about the interdependence of national economies.