Studies concerned with demographic methods and with methods from other disciplines that have been applied to demographic data as a whole. Includes mathematical demography and studies on methods of estimation and indirect estimation. Methodological studies and models concerned with one demographic variable, such as migration, are coded under the category concerned with that topic and cross-referenced to this heading. Studies on models used to investigate relationships between demographic variables and for the analysis of empirical data are also coded under this heading.

**64:20720** **Barkalov, Nicholas B.** *On
solutions of the cohort parity analysis model.* Mathematical
Population Studies, Vol. 7, No. 1, 1998. 79-107, 110 pp. Amsterdam,
Netherlands. In Eng. with sum. in Fre.

"The cohort parity
analysis (CPA) model of David et al. (1988) is studied formally as a
three-state parity-progression table. The general solution is found in
a form of convex combination of a finite set of solutions which are
described explicitly. A parameterization is suggested for a broad
subset of solutions which includes two extreme solutions studied in the
original publication and maintains the dimension of the entire set. The
CPA solution is also treated as a random variate distributed uniformly
on the set of all possible solutions. An algorithm is given for
computing the marginal distributions without Monte Carlo
simulation."*Correspondence: *N. B. Barkalov, DGI
Incorporated, 700 North Fairfax Street, Alexandria, VA 22314.
*Location: *Princeton University Library (SPR).

**64:20721** **Ghilagaber, Gebrenegus.**
*On the problem of identification in multiplicative intensity-rate
models with multiple interactions.* Department of Statistics
Research Report, No. 1998-1, 1998. 16 pp. Uppsala Universitet,
Department of Statistics: Uppsala, Sweden. In Eng.

"In this
paper we examine a multiplicative intensity model in which a covariate
interacts with two other covariates in the same model. We demonstrate,
analytically, that in such situations a log-linear parameterization
based on two pairs of baseline levels cannot be transformed, uniquely,
to the, otherwise equivalent, multiplicative parameterization. We show
that the problem lies in an oversight of the conditional independence
between the two covariates interacting with a common third covariate.
As a solution, therefore, we propose an approach that takes due account
of such dependence. Our proposed approach uses a common baseline level
for the three covariates involved in interaction while estimating the
corresponding relative intensities. The issues addressed are
illustrated with a demographic data set involving the estimation of
rates of transition to parenthood."*Correspondence:
*Uppsala University, Department of Statistics, P.O. Box 513, 751 20
Uppsala, Sweden. *Location: *Princeton University Library (SPR).

**64:20722** **Krishnamoorty, S.; Mathew, Anil
C.** *Estimating the person years lived in the infant and
childhood ages.* Janasamkhya, Vol. 12, No. 1-2, 1994. 151-7 pp.
Kariavattom, India. In Eng.

"This paper proposes the use of
Weibull Hazard function to obtain [an] improved estimate of person
years lived in infant and childhood ages. As the estimation procedure
is too involved for those who construct life tables, an easier method
of obtaining the same is provided.... An illustrative application of
the procedure is also presented." The data used for this
illustration are from the Sample Registration System of
India.*Correspondence: *S. Krishnamoorty, Bharathiar
University, Department of Population Studies, Coimbatore, Tamil Nadu
641 046, India. *Location: *Princeton University Library (SPR).

**64:20723** **Lalu, N. M.; Krishnan, P.**
*Generalized Lotka distribution incorporating migration.*
Janasamkhya, Vol. 12, No. 1-2, 1994. 99-106 pp. Kariavattom, India. In
Eng.

"This paper proposes to introduce the migration component
into the stable population model and examine the stability of the age
distribution. The analysis [is restricted] to one sex as [has been]
done by others." The model is applied to Canadian
data.*Correspondence: *N. M. Lalu, University of Alberta,
Department of Sociology, Edmonton, Alberta T6G 2H4, Canada.
*Location: *Princeton University Library (SPR).

**64:20724** **Miyata, Yuzuru.** *A
dynamic population model incorporating a variety of urban
functions.* Papers in Regional Science, Vol. 76, No. 2, Apr 1997.
229-56 pp. Urbana, Illinois. In Eng.

"This paper aims to
investigate the theoretical background of Allen and Sanglier's model,
slightly modifying it. We construct a dynamic two-city population model
in which there are different types of urban functions in the cities.
Population dynamics of both cities are expressed in terms of a system
of differential equations of the logistic type, taking account of
spatial interaction between them. For this model, both the existence
condition and the globally asymptotic stability of the equilibrium
state are theoretically explored. Then configurations of equilibrium
population distribution that correspond to different combinations of
the numbers of types of urban functions in two cities are also
examined. Finally, some numerical simulations are done in order to
supplement the theoretical considerations."*Correspondence:
*Y. Miyata, Toyohashi University of Technology, Department of
Socio-Economic Planning, Tempaku, Toyohashi 441, Japan. E-mail:
miyata@hse.tut.ac.jp. *Location: *Princeton University Library
(SPR).

**64:20725** **Nelissen, Jan H. M.**
*Institutional households: modeling and forecasting by means of
microsimulation.* [Institutionele huishoudens: modellering en
vooruitberekening met behulp van microsimulatie.] Bevolking en Gezin,
No. 2, 1996. 29-59 pp. Brussels, Belgium. In Dut. with sum. in Eng.

"This paper describes the modelling of institutional
households [in the Netherlands] within the context of microsimulation
model NEDYMAS.... We modelled the following categories: homes for the
aged (124,000 persons in 1994), nursing homes (52,500), institutions
for the physically and mentally disabled (33,000), psychiatric
institutions (23,200) and other institutions.... The results show a 20
percent increase between now and 2010 and a further growth from 2020
on. It also shows that a large substitution took place in the
past."*Correspondence: *J. H. M. Nelissen, Katholieke
Universiteit Brabant, Faculteit Sociale Wetenschappen, Postbus 90153,
5000 LE Tilburg, Netherlands. *Location: *Princeton University
Library (SPR).

**64:20726** **Pol, Louis G.**
*Demographic methods in applied demography: an American
perspective.* Genus, Vol. 53, No. 1-2, Jan-Jun 1997. 159-76 pp.
Rome, Italy. In Eng. with sum. in Ita; Fre.

"The purpose of
this paper is to explore the usage of demographic methods in applied
demography [in the United States]. The reason for the exploration is to
document the range of methods being used to help address a wide range
of public and private sector opportunities and problems. A limited
content analysis of applied studies is
performed."*Correspondence: *L. G. Pol, University of
Nebraska, Department of Marketing, Omaha, NE 68182. E-mail:
lpol@cbafaculty.unomaha.edu. *Location: *Princeton University
Library (SPR).

**64:20727** **Rodríguez, Germán;
Trussell, James.** *Fitting the Schwartz-Barrett-Marshall
model.* OPR Working Paper, No. 97-3, Apr 1997. 29 pp. Princeton
University, Office of Population Research [OPR]: Princeton, New Jersey.
In Eng.

"These notes summarize work done in fitting the
Schwartz-Barrett-Marshall model of conception probabilities. Section 1
derives the results needed for calculating the estimates and their
standard errors. Section 2 documents the S functions that actually do
the work. Sections 3 to 5 report selected results for the
Barrett-Marshall and the Wilcox-Weinberg
datasets."*Correspondence: *Princeton University,
Office of Population Research, 21 Prospect Avenue, Princeton, NJ
08544-2091. *Location: *Princeton University Library (SPR).

**64:20728** **Rodríguez, Germán;
Goldman, Noreen.** *Improved estimation procedures for
multilevel models with binary response: a case study.* OPR Working
Paper, No. 97-2, Oct 1997. 16 pp. Princeton University, Office of
Population Research [OPR]: Princeton, New Jersey. In Eng.

"In
this paper, we fit three-level random intercept models to actual data
[related to health care in Guatemala] for two binary outcomes, to
assess whether refined approximation procedures, namely penalized
quasi-likelihood (PQL) and second-order improvements to MQL [marginal
quasi-likelihood] and PQL...underestimate the underlying parameters.
The extent of bias is assessed by two standards of comparison: exact
maximum likelihood estimates, based on a Gauss-Hermite numerical
quadrature procedure, and a set of Bayesian estimates, obtained from
Gibbs sampling with diffuse priors. The results indicate that
second-order PQL estimates provide a considerable improvement over the
other approximations, but all the methods of approximate inference
result in substantial underestimation of the fixed and random effects
when the random effects are sizable."

This paper was originally
presented at the 1997 Annual Meeting of the Population Association of
America.*Correspondence: *Princeton University, Office of
Population Research, 21 Prospect Avenue, Princeton, NJ 08544-2091.
*Location: *Princeton University Library (SPR).

Copyright © 1998, Office of Population Research, Princeton University.