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2 edition of dynamic household projection model found in the catalog.

dynamic household projection model

Nico Keilman

dynamic household projection model

an application of multidimensional demography to lifestyles in the Netherlands

by Nico Keilman

  • 153 Want to read
  • 24 Currently reading

Published by Netherlands Interuniversity Demographic Institute in Hague .
Written in English

    Subjects:
  • Population forecasting -- Netherlands -- Mathematical models,
  • Households -- Mathematical models

  • Edition Notes

    Bibliography: p. 32-33.

    Statementby Nico Keilman and Jan van Dam.
    SeriesWorking papers of the N.I.D.I -- no. 72, Working paper (Nederlands Interuniversitair Demografisch Instituut) -- no. 72
    ContributionsDam, Jan van
    Classifications
    LC ClassificationsHB849.53 K45 1987
    The Physical Object
    Paginationvii, 33 p. --
    Number of Pages33
    ID Numbers
    Open LibraryOL18191698M

    The AR(p) model: using multiple lags for forecasting The pth order autoregressive model (AR(p)) is Y t = 0 + 1Y t–1 + 2Y t–2 + + pY t–p + u t The AR(p) model uses p lags of Y as regressors The AR(1) model is a special case The coefficients do not have a causal File Size: 2MB.   Master the art of building a rolling month cash flow forecast model in our Financial Planning & Analysis (FP&A) course. In this course you will .

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    The Stochastic Growth Model Consider the one-sector stochastic growth model. We have an inÞnitely-lived repre-sentative household that supplies labor inelastically to the representative Þrm which is owned by the household. The household chooses sequences of consumption {ct}, and saving (gross investment) {it} to maximize lifetime utility. Family and household demography is concerned with the particularly interesting solution is to model the decision rules that govern social interaction and the shared experiences that result. Section 6 concludes the chapter and household projection models. The book also covered issues of measurement and.


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Dynamic household projection model by Nico Keilman Download PDF EPUB FB2

Since these recent developments have particularly occurred in household analysis and modelling, these topics will receive special emphasis. The book was written for demographers, social scientists, and planners who are involved in the study and projection of popUlation in.

The model classifies individuals by eleven household positions, corresponding to seven household types. These household positions are specified in such a way that a projection of individuals by household position can easily be transformed into a projections of households by household by: 6.

Get this from a library. Lipro an application of a dynamic demographic projection model to household structure in the Netherlands. [E van Imhoff; Nico Keilman]. Conclusions: The sequential propensity model offers a more effective method of producing household and living arrangement projections than the standard propensity model, and is a practical alternative to dynamic projection models for countries and regions where the.

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Author(s): Keilman,N; van Dam,J Title(s): A dynamic household projection model: an application of multidimensional demography to lifestyles in the Netherlands/ N. Keilman, J. van Dam. Country of Publication: Netherlands Publisher: The Hague, The Netherlands, Netherlands Interuniversity Demographic Institute, The Stochastic Growth Model Consider the one-sector stochastic growth model.

We have an infinitely-lived repre-sentative household that supplies labor inelastically to the representative firm which is owned by the household.

The household chooses sequences of consumption {c t}, and saving (gross investment) {i t} to maximize lifetime. A Simple Model of Dynamic Insurance 3. Advanced Topics 4. Applications 5. Conclusion Acknowledgments References Macroeconomics and Household Heterogeneity D. Krueger, K. Mitman, F. Perri 1.

Introduction 2. The Great Recession: A Heterogeneous Household Perspective 3. Household demography and household modeling. [E van Imhoff;] with special reference to dynamic microsimulation models / Heinz Galler --Alternative options for living arrangement models: a multistate household projection model / Evert van Imhoff --Household projections and housing market behaviour / Pieter Hooimeijer.

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Book description: This book is an effective, concise text for students and researchers that combines the tools of dynamic programming with numerical techniques and simulation-based econometric. Downloadable. Forecasting Populations (FPOP) is a microsimulation model (MSM) that is the demographic core of an extensible modeling framework.

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In part I, the representative-agent stochastic growth model is solved with the help of value function. Author(s): van Imhoff,E; Keilman,N Title(s): LIPRO an application of a dynamic demographic projection model to household structure in the Netherlands/ E.

van Imhoff, N. Keilman. Country of Publication: Netherlands Publisher: Berwyn, Pennsylvania/Lisse, Netherlands, Swets. Consider who lives in the household. Gone are the days of a mother, father and two biological children. Blended families from past marriages are common. Sometimes, extended family members live in a household too.

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