A Computer Simulation Model of the Textile Industry

Abstract A nine-equation econometric model of the U. S. textile industry is presented to explain the behavior of the industry during the period 1953 through 1962. The endogenous variables of the model include apparel output and demand, textile mill products output and demand, employment, wages, profit, and investment. A computer program was written to simulate the behavior of the textile industry between 1953 and 1962 on the basis of the behavioral relationships implied by the nine-equation model. Three different techniques were used to compare the simulated data generated by the model of the textile industry with actual observed data—graphical analysis, spectral analysis, and total variance analysis.

[1]  W. Sasser,et al.  An Econometric Model of the Textile Industry in the United States , 1968 .

[2]  W. Sasser,et al.  Computer Simulation Experiments with Economic Systems: The Problem of Experimental Design , 1967 .

[3]  Thomas H. Wonnacott,et al.  Methods for analyzing data from computer simulation experiments , 1967, CACM.

[4]  Thomas H. Naylor,et al.  Verification of Computer Simulation Models , 1967 .

[5]  E. Howrey.  Stabilization Policy in Linear Stochastic Systems , 1967 .

[6]  David R. Brillinger,et al.  Statistical Methods of Econometrics. , 1967 .

[7]  George S. Fishman,et al.  The Analysis of Simulation-Generated Time Series , 1967 .

[8]  J. Johnston,et al.  Econometric Models and Methods , 1967 .

[9]  T. Naylor.  Computer Simulation Techniques , 1966 .

[10]  Thomas H. Naylor,et al.  Design of computer simulation experiments for industrial systems , 1966, CACM.

[11]  M. Kuczynski.  The U.S. Agricultural Act of 1965 and Its Effects on Cotton Prices and Receipts from Cotton Exports , 1966 .

[12]  Kenneth F. Wallis,et al.  USE OF THE DURBIN-WATSON STATISTIC IN INAPPROPRIATE SITUATIONS , 1966 .

[13]  C. B. Tilanus,et al.  Applied Economic Forecasting , 1966 .

[14]  Clive W. J. Granger,et al.  The typical spectral shape of an economic variable , 1966 .

[15]  M. Zymelman.  A Stabilization Policy for the Cotton Textile Cycle , 1965 .

[16]  I. R. Savage.  Handbook of Nonparametric Statistics II: Results for Two and Several Sample Problems, Symmetry, and Extremes by John E. Walsh (D. Van Nostrand, Princeton, 1965), xxvi, 686. $17.50 , 1965 .

[17]  朝倉 利光.  R. B. Blackman and J. W. Tukey: The Measurement of Power Spectra, Dover Publications, Inc., New York, 1958, 208頁, 13.5×16cm, $1.85 , 1964 .

[18]  C. Granger,et al.  Spectral Analysis for Economic Time Series , 1964 .

[19]  M. Nerlove.  SPECTRAL ANALYSIS OF SEASONAL ADJUSTMENT PROCEDURES , 1964 .

[20]  Clive W. J. Granger,et al.  Spectral analysis of New York stock market prices , 1963 .

[21]  J. R. Donald,et al.  The Demand for Textile Fibers in the United States , 1963 .

[22]  H. J. Arnold,et al.  Handbook of nonparametric statistics , 1963 .

[23]  Seymour Geisser,et al.  Statistical Principles in Experimental Design , 1963 .

[24]  J. Tukey.  Discussion, Emphasizing the Connection Between Analysis of Variance and Spectrum Analysis* , 1961 .

[25]  E. Parzen.  Mathematical Considerations in the Estimation of Spectra , 1961 .

[26]  Gwilym M. Jenkins,et al.  General Considerations in the Analysis of Spectra , 1961 .

[27]  R. Cyert,et al.  Computer Models in Dynamic Economics , 1961 .

[28]  M. Fisher,et al.  Cycles and Trends in Textiles , 1960 .

[29]  Kalman J. Cohen.  Computer models of the shoe, leather, hide sequence , 1960 .

[30]  H. Theil,et al.  Economic Forecasts and Policy. , 1959 .

[31]  T. Stanback.  The Textile Cycle: Characteristics and Contributing Factors , 1958 .

[32]  J. Durbin,et al.  Testing for serial correlation in least squares regression. II. , 1950, Biometrika.

[33]  Henry S. Leonard,et al.  Testability and Meaning. , 1937 .

[34]  M. Kendall,et al.  The Logic of Scientific Discovery. , 1959 .