**59:40710** **Burch,
Thomas K.** *Estimating the Goodman, Keyfitz and Pullum
kinship equations: an alternative procedure.* Population Studies
Centre Discussion Paper, No. 93-8, ISBN 0-7714-1555-9. Jul 1993. 10 pp.
University of Western Ontario, Population Studies Centre: London,
Canada. In Eng.

The author presents an alternative procedure for
evaluating the relationships among mortality, fertility, and kin
numbers. The procedure is developed using software created since the
publication of a previous paper concerned with such
relationships.

For the paper by Leo A. Goodman et al., published in
1974, see 40:3393 and 42:2501. *Correspondence:* University
of Western Ontario, Population Studies Centre, Room 3227, Social
Science Centre, London, Ontario N6A 5C2, Canada. *Location:*
Princeton University Library (SPR).

**59:40711** **Burch,
Thomas K.** *Theory, computers and the parameterization of
demographic behaviour.* Population Studies Centre Discussion Paper,
No. 92-10, ISBN 0-7714-1486-2. Nov 1992. 13, [2] pp. University of
Western Ontario, Population Studies Centre: London, Canada. In Eng.

The author compares the history and use of the Coale-McNeil and the
Hernes models of first marriage. The focus is on reasons why the first
model has been more widely used by
demographers.*Correspondence:* University of Western
Ontario, Population Studies Centre, London, Ontario N6A 5C2, Canada.
*Location:* Princeton University Library (SPR).

**59:40712** **Crawford,
David L.; Pollak, Robert A.; Vella, Francis.** *Order and
inference in qualitative response models.* Seattle Population
Research Center Working Paper, No. 93-4, Nov 1992. 35 pp. University of
Washington, Seattle Population Research Center: Seattle, Washington;
Battelle Seattle Research Center: Seattle, Washington. In Eng.

The
authors define two types of ordered qualitative response models and
discuss their applications. These applications are illustrated using
data on the educational attainment of young Australian
women.*Correspondence:* Seattle Population Research Center,
c/o University of Washington, Center for Studies in Demography and
Ecology Library, Department of Sociology DK-40, Seattle, WA 98195.
*Location:* Princeton University Library (SPR).

**59:40713** **Guo,
Guang.** *Event-history analysis for left-truncated
data.* Sociological Methodology, Vol. 23, 1993. 217-43 pp.
Washington, D.C. In Eng.

"This paper aims at providing a practical
guidance for coping with social science event-history data that are
left-truncated, especially when the length of exposure prior to
observation is known. Only the case of single events is treated,
although much of the discussion should be applicable to the case of
repeated events, in which only the first spell is likely to be
left-truncated. Marital dissolution data from the Panel Study of
Income Dynamics (PSID) are used as an
example...."*Correspondence:* G. Guo, University of North
Carolina, POB 2688, Chapel Hill, NC 27515-2688. *Location:*
Princeton University Library (SPR).

**59:40714** **Hill,
Daniel H.; Axinn, William G.; Thornton, Arland.** *Competing
hazards with shared unmeasured risk factors.* Sociological
Methodology, Vol. 23, 1993. 245-77 pp. Washington, D.C. In Eng.

"The present paper develops a generalization of the standard
discrete-time competing hazards model that allows for the types of
stochastic dependencies resulting from shared unmeasured risk factors.
An empirical example is provided using the process by which young women
form their first conjugal residential union, with married and unmarried
cohabitation representing the competing alternatives. The results
suggest considerable and significant similarity of the alternatives in
terms of the unmeasurables. It is also shown that, as a result, the
independence assumption leads to substantially biased estimates of the
net marriage and net cohabitation survival functions." The data concern
a cohort of white children born in Detroit, Michigan, in 1961 and their
mothers, followed up to 1985.*Correspondence:* D. H. Hill,
University of Toledo, Survey Research Institute, Toledo, OH 43606.
*Location:* Princeton University Library (SPR).

**59:40715** **Kim, Young
J.; Schoen, Robert.** *On the intrinsic force of convergence
to stability.* Mathematical Population Studies, Vol. 4, No. 2,
1993. 89-102, 149 pp. New York, New York/Yverdon, Switzerland. In Eng.
with sum. in Fre.

"Observed populations differ greatly in the speed
with which they approach the stable form, but what determines rates of
convergence is not fully understood....Here we examine the trajectory
to stability, derive a mathematical expression for the force of
convergence, and provide an approximate relationship in terms of the
mean and variance of the stable net maternity function." Trajectories
for Japan, Togo, and the United States are used as
illustrations.*Correspondence:* Y. J. Kim, Johns Hopkins
University, Department of Population Dynamics, 615 North Wolfe Street,
Baltimore, MD 21205. *Location:* Princeton University Library
(SPR).

**59:40716** **Lee, Elisa
T.** *Statistical methods for survival data analysis.*
Wiley Series in Probability and Mathematical Statistics: Applied
Probability and Statistics, 2nd ed. ISBN 0-471-61592-7. LC 91-27926.
1992. xii, 482 pp. John Wiley and Sons: New York, New York/Chichester,
England. In Eng.

This book "is intended to meet the need for a
single volume covering the methodologies appropriate for the analysis
of survival data. The book has been written for biomedical
investigators, statisticians, epidemiologists, and researchers in other
disciplines who are involved or interested in analyzing survival data.
It covers the most commonly used methods, parametric and nonparametric,
in survival data analysis and can be used as a reference resource or
textbook. In addition, it provides guidelines for the planning and
design of clinical trials." Innovations in this second edition include
a discussion of population life tables, introduction of the concepts of
standardized mortality ratio and standardized incidence ratio, and the
inclusion of information on survival-data-analysis computer programs
written over the past 10 years.*Correspondence:* John Wiley
and Sons, 605 Third Avenue, New York, NY 10158-0012. *Location:*
Princeton University Library (SPR).

**59:40717** **Levy,
Michel L.** *The specificity of demography: cohort
analysis.* [Specificite de la demographie: l'analyse
"longitudinale"] Population et Societes, No. 284, Nov 1993. 1-3 pp.
Paris, France. In Fre.

Some aspects of cohort analysis are
discussed and illustrated using data for France on occupations,
employment, and elderly women living alone.*Correspondence:*
M. L. Levy, Institut National d'Etudes Demographiques, 27 rue du
Commandeur, 75675 Paris Cedex 14, France. *Location:* Princeton
University Library (SPR).

**59:40718** **Mitra, S.;
Levin, Martin L.** *Complex roots of Lotka's integral
equation for a special model of net maternity rates.* Janasamkhya,
Vol. 8, No. 2, Dec 1990. 115-32 pp. Kariavattom, India. In Eng.

"An
attempt to obtain the solutions of Lotka's integral equation has been
made in this paper by assuming a Pearsonian Type III function for the
age distribution of the net maternity rates. The shifting of the
origin of the function from the traditional value of age zero to the
most meaningful lower boundary of the reproductive interval gave rise
to an analytical expression of the equation with interesting properties
most of which have not yet been encountered in similar
endeavors."*Correspondence:* S. Mitra, Emory University,
Atlanta, GA 30322. *Location:* Princeton University Library
(SPR).

**59:40719** **Pollard,
John H.; Valkovics, Emil J.** *The Gompertz distribution and
its applications.* Genus, Vol. 48, No. 3-4, Jul-Dec 1992. 15-28 pp.
Rome, Italy. In Eng. with sum. in Fre; Ita.

"In this paper we study
the underlying Gompertz distribution and develop formulae for the
moments and other characteristics of this useful but apparently unknown
distribution. We find that the skewness and kurtosis of the
distribution are fixed constants independent of the two distribution
parameters, and this would appear to be the reason for the mixed
success writers have experienced fitting the curve to fertility data.
We also show the distribution of the minimum of n independent Gompertz
variables, all having the same c-parameter, is itself a Gompertz
variable with the same c-parameter."*Correspondence:* J. H.
Pollard, Macquarie University, School of Economic and Financial
Studies, Sydney, NSW 2109, Australia. *Location:* Princeton
University Library (SPR).

**59:40720** **Prskawetz,
Alexia.** *Deterministic chaos versus stochastic modeling in
demography.* [Deterministisches Chaos versus stochastische
Modellierung in der Demographie.] Zeitschrift fur
Bevolkerungswissenschaft, Vol. 18, No. 4, 1992. 495-517 pp. Wiesbaden,
Germany. In Ger. with sum. in Eng; Fre.

"New statistical and
graphical methods derived from the theory of nonlinear dynamic systems
are introduced. By means of these methods a periodical time series can
be classified in more detail. It can be especially checked whether the
irregular character of time series is caused by non-linear,
deterministic--especially chaotic--dynamics or by stochastic dynamics.
These methods are illustrated on the basis of Austrian birth
data."*Correspondence:* A. Prskawetz, Osterreichischen
Akademie der Wissenschaften, Institut fur Demographie, Hintere
Zollamtsstrasse 2B, 1033 Vienna, Austria. *Location:* Princeton
University Library (SPR).

**59:40721** **Raftery,
Adrian E.; Aghajanian, Akbar; Lewis, Steven M.; Kahn, Michael
J.** *Event history modeling of World Fertility Survey
data.* Seattle Population Research Center Working Paper, Rev. ed.
No. 93-1, Jun 1993. 31 pp. University of Washington, Seattle Population
Research Center: Seattle, Washington; Battelle Seattle Research Center:
Seattle, Washington. In Eng.

The authors propose a modeling
strategy that permits the application of event history analysis to
World Fertility Survey data. They test the model using data on aspects
of fertility decline in Iran.*Correspondence:* Seattle
Population Research Center, c/o University of Washington, Center for
Studies in Demography and Ecology Library, Department of Sociology
DK-40, Seattle, WA 98195. *Location:* Princeton University
Library (SPR).

**59:40722** **Retherford,
Robert D.; Choe, Minja Kim.** *Statistical models for causal
analysis.* ISBN 0-471-55802-8. LC 93-23423. 1993. xiv, 258 pp. John
Wiley and Sons: New York, New York. In Eng.

"This book provides a
quick overview of statistical models commonly used in causal analyses
of nonexperimental data in the social and biomedical sciences. Topics
covered are simple bivariate regression, multiple regression, multiple
classification analysis, path analysis, logit regression, multinomial
logit regression, and survival models (proportional hazard models and
hazard models with time dependence)." The methods described are
illustrated using data from the 1974 Fiji Fertility Survey, conducted
as part of the World Fertility Survey.*Correspondence:* John
Wiley and Sons, 605 Third Avenue, New York, NY 10158-0012.
*Location:* Princeton University Library (SPR).

**59:40723** **Schoen,
Robert; Kim, Young J.** *Hyperstability.* Johns Hopkins
Population Center Papers on Population, No. 93-10, Oct 1993. 28 pp.
Johns Hopkins University, School of Hygiene and Public Health,
Population Center: Baltimore, Maryland. In Eng.

"This paper
describes a closed form demographic model with changing vital rates."
The model is tested using hypothetical and U.S. data for the period
1920-1973.*Correspondence:* Johns Hopkins University, School
of Hygiene and Public Health, Population Center, 615 North Wolfe
Street, Room 2300, Baltimore, MD 21205-2179. *Location:*
Princeton University Library (SPR).

**59:40724** **Xie,
Yu.** *Log-multiplicative models for discrete-time,
discrete-covariate event history data.* Population Studies Center
Research Report, No. 93-286, Aug 1993. 25, [21] pp. University of
Michigan, Population Studies Center: Ann Arbor, Michigan. In Eng.

The author develops "a new class of discrete-time,
discrete-covariate models for modelling nonproportionality in event
history data within the log-multiplicative framework." The models are
tested using data from the U.S. National Longitudinal Mortality Study
and the June 1980 Current Population
Survey.*Correspondence:* University of Michigan, Population
Studies Center, 1225 South University Avenue, Ann Arbor, MI
48109-2609. *Location:* Princeton University Library (SPR).

Copyright © 1993-1996, Office of Population Research, Princeton University.