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CONSTANT 4

.0178

3.6958 3.4835 3.4081

(0 .0001)

** (0.0001) ** (0.0001) ** (0

.0001)

**

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(0.3502 )

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(0

.

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(0.2545 ) (0.2550 ) (0.2965 ) ( 0.3687)

k 1.0000 0.5725 0.8071 0.8787

( 0.0001 ) ** (0.0001) ** (0.0001) **

a

1.0000 1.0000 0.0000 -0.3294

(0.0001) **

log likelihood 11 -128.5543 -119.1046 -114 .8101 -114 .5835

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ratio 11

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fil a (

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,.lift-t.liaSc.

'~66-89 ⁰

Altman, E. I. ( 1983) , "Why Business Failure, "The Journal of Business Strategy,3 ( 4) , 15-21.

Anderson, T . W. ( 1954 ) ,"Probability Models for Analyzing Time Changes in Attitudes,"

in P . F.Lazarsfeld ed. , Mathematical Thinking in the Social &iences, Glencoe:

The Free Press.

Auster, E. R. ( 1988 ) ,"Owner and Organizational Characteristics of Black-and White­

Owned Business: Self Employed Blacks Had Less Training, Fewer Resources, Less Profits, but Had Similar Survival Rates," American Journal of Economics and Socio­

logy, 47 ( 3 ) .

Behrman, J. R. ,and A. B. Deolalikar ( 1989) ," ... of the Fittest? Duration of Survival of

Manufacturin~ Establishments in a Developing Country," The Journal of Industrial Economics ,38.

Buccino, G. P. (1989) ,"Business Failures Increasing, "Secured Lender, 45, 24-26.

Chiang, C. L. ( 1968 ) , Introduction to Stochastic Process in Biostatistics, N. Y . : John Wiley and Sons, Inc.

Cox, D . R. ( 1972 ) ,"Regression Models and Life-Table's,"Journal of Royal Statistical Society, 34 ( 2 ) , 187-220.

Cox, D. R., and D . Oakes (1984), Analysis of Survival Data, N. Y.: Chapman & Hall. LTD . Du Rietz, G . ( 1975) , "New Firm Entry in Swedish Manufucturing Industries during the

Post. War Period," Doctoral Dissertation, Stockholm.

Dunne, T . , M. J. Roberts, and L. Samuelson ( 1989 ) ,"The Growth and Failure of U. S.

Manufacturing Plants, "The Quarterly Journal of Economics, 671-698.

Elbers, C. and G. Ridder ( 1982 ) , "True and Spurious Duration Dependence: The Identifiability of the Proportional Hazard Model," Review of Economic Studies, 49, 403-409.

Follman, D. A., M. S. Goldsberg and L. May ( 1990 ) ,"Personal Characteristics , Unemployment Insurance, and the Duration of Unemployment," Journal of Econo­

metrics, 45, 351-336.

Ginsberg, R . B. ( 1971 ) ,"Semi-Markov Process and Mobility,"Journal of Mathematical

- 88 ­

i; Jto "if> M" ..

't ""

-f;-.::.

't ..

;tj

4-

~A'!

r.,

^;t.'$oj'" ~

Sociology, 1, 233-262.

Ginsberg, R. B. ( 1979 ) ,"Timing and Duration Effects in Residential Hietoriesand Other Longitudinal Data-II," Regional &ience and Urban Economics, 9, 369-39l.

Hudson, J. ( 1989) , "The Birth and Death of Firms," Quarterly Review of Economics and Business,29 ( 2) , 68-86.

Johnson, N. L. and S. Kotz ( 1970 ) ,Continuous Univariate Distributions-I, N.Y. :John Wiley and Sons Inc. ,

Jovanovic, B. ( 1982) , "Selection and the Evolution of Industry", Econometrica, 50 ( 3) , 649-669.

Kalbfleisch, J. D., and R. L. Prentice ( 1980), The Statistical Analysis of Failure Time Data, N.Y.:John Wiley and Sons Inc.,

Kiefer, N. M. ( 1988 ) ,"Economic Duration Data and Hazard Functions," Journal of Economic Literature, 26, 646- 679.

Lancaster, T. (1979 ) ," Econometric Methods for the Duration of Unemployment,"

Econometrica, 47, 939-956.

Lawless, J. F. (1982), Statistical Models and Methods for Lifetime Data, N.Y.:John Wiley and Sons, Inc.

Lin, C. C. S. ( 1988) ,"Housing' Demand and Residential Mobility: A Stochastic Process Model," Ph.D .Dissertation, Department of Economics, UCLA.

Lomax, K. S. ( 1954 ) ,"Business Failures: Another Example of the Analysis of Failure Data," Journal of the American Statistical Association, 49, 847-852.

Mansfield, E. (1962 ), "Entry, Gibrat's Law, Innovation and the Growth of Firms,"

American Economic Review, 52, 1023-105l.

Marcus, M. ( 1967 ) , "Firm's Exit Rates and Their Determinants, "Journal of Industrial Economics, 16, 10-12.

McGinnis, R. (1968 ) ," A Stochastic Model of Social Mobility,"American Sociological Review, 33, 712-722.

Noura, A. A. and K. L. Q. Read ( 1990) , "Proportional Hazards Change Point Models in Survival Analysis," Applied Statistics, 39 (2) , 241-253.

Post, G. V., and S. Y. Moon (1988), "A Pooled Cross-Section Time-Series Approach to Business Failure in 18 U. S. Cities," Journal of Economics and Business, 40, 45-56 .

Preisendorfer, P., and T. Voss ( 1990 ) , "Organizational Mortality of Small Firms: The Effects of Entrepreneurial Age and Human Capital," Organization Studies, 11, 107-129.

Salant, S. W. ( 1977) , "Search Theory and Duration Data: A Theory of Sorts," Quarterly Journal of Economics, 91, 39-57.

- 89­

Shepherd, W.G. ( 1979) , The Economics of Industrial Organization, Prentice-Hall, Inc ..

Sleeper, L. A. and D. P. Harrington ( 1990) ,"Regression Splines in the Cox Model with Application to Covariate Effects in Liver Disease, "Journal of American Statistic Association, 85 ( 412) , 941-949.

Staber. U. (989) ." Age-Dependence and Historical Effects on the Failure Rates of Worker Cooperatives : An Event-History Analysis, n Economic and Industrial Democracy, 10. 59-80.

Van Fleet, E. W., and D. D. Van Fleet (1985) ,"Entrepreneurship and Black Capitalism, n

American Journal of Small Business, 10, 31-40.

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A SURVIV AL ANALYSIS OF FIRMS IN THE TEXTILE

在文檔中 臺北市紡織業與食品業廠商存活期間之分析 (頁 22-33)