Estimation of stochastic input-output models
Some statistical problems

Authors: S. D. Gerking



This monograph is a revision of my Indiana University doctoral disserta- tion which was completed in April, 1975. Thanks are, therefore, due to the members of my doctoral committee: Saul Pleeter (Chairman), David J. Behling, R. Jeffery Green, Richard L. Pfister, and Elmus Wicker for their helpful comments on previous versions of the manuscript. In addition, I am indebted to the Division of Research and to the Office of Research and Advanced Studies at Indiana University for financial support. As the reader will observe, the techniques developed in Chapters 3 and 4 of this monograph are illustrated using input-output data from West Virginia. These data were generously made available by William H. Miernyk, Director of the Regional Research Institute at West Virginia University. I also wish to acknowledge the Bureau of Business and Eco- nomic Research at Arizona State University for providing two research assistants, Kevin A. Nosbisch and Tom R. Rex, who aided in processing the West Virginia data. A third research assistant, Phillip M. Cano, also worked on this project as part of an independent study program taken under my direction during the spring semester of 1975. Finally, I must thank Mary Holguin and Margaret Shumway who expertly typed the final copy of the manuscript. Despite the efforts of all the individuals mentioned above, I assume responsibility for any errors which may remain.

Table of contents

Front Matter

Introduction

Tests of the static, open input-output model: an appraisal

Input-output as a simple econometric model

On the use of the variance in resolving two practical problems often encountered in input-output analysis

The conditions for eliminating first order aggregation bias in input-output models when technical coefficients are estimated by a member of the k-class

A postscript

Back Matter