IDEAS home Printed from https://ideas.repec.org/a/agr/journl/vxxviy2019i4(621)p149-162.html
   My bibliography  Save this article

Dynamic models used in analysis capital and population

Author

Listed:
  • Mădălina-Gabriela ANGHEL

    (“Artifex” University of Bucharest, Romania)

  • Ștefan Virgil IACOB

    (“Artifex” University of Bucharest, Romania)

  • Gabriel-Ștefan DUMBRAVĂ

    (Bucharest University of Economic Studies, Romania)

  • Marius POPOVICI

    (Bucharest University of Economic Studies, Romania)

Abstract

From the production function of Cobb-Douglas, we know that production is based on three essential factors. These are the population, capital and financial-material resources. In this article, the authors are concerned about the possibility of establishing a dynamic macroeconomic model in order to analyze the evolution and especially the role of capital and population in the development of the economy. When we speak of development of the economy we apply the general principle that it is a goal of the whole economic activity regardless of countries, geographical areas, development level of each country, the objectives of international bodies and so on. The model used in the study of capital is one that has to be established taking into account the trend up to this moment of the analysis, which according to the factors considered to ensure an increase consequently for the next period. This model must take into account the effect of capital, how it is constituted and especially the harmonized way in which capital is distributed within a national economy, based on the strategy of sustainable or complex economic development in each case. The study of capital is a basic element that ensures an increase in correlation with the other two factors that we talked about future development conditions. As far as the population problem is concerned, this is a defining one in terms of securing the labor force reserve, securing the reserves for the active or employed population. The population increases or decreases according to the birth rate. Natality in turn increases or decreases depending on the existing socio-economic conditions or other aspects to be considered. In the dynamic models used we have to take into account how the population of a country, continent or world population has evolved in order to be able to predict what will happen in the next period. Of course, the change of population is made through inputs (births) and exits (deaths or emigration in the case of a study located in a country or continent). We assume that in order to ensure a proper balance and evolution of the population, it is necessary to take a series of stimulatory measures to ensure the direction of this future evolution. Of course, population growth is determined by a series of statistical variables that taken and included in the analysis model give the perspective of identifying the future evolution trends of this very important indicator at the level of a nation.

Suggested Citation

  • Mădălina-Gabriela ANGHEL & Ștefan Virgil IACOB & Gabriel-Ștefan DUMBRAVĂ & Marius POPOVICI, 2019. "Dynamic models used in analysis capital and population," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(4(621), W), pages 149-162, Winter.
  • Handle: RePEc:agr:journl:v:xxvi:y:2019:i:4(621):p:149-162
    as

    Download full text from publisher

    File URL: http://store.ectap.ro/articole/1427.pdf
    Download Restriction: no

    File URL: http://www.ectap.ro/articol.php?id=1427&rid=137
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ole E. Barndorff-Nielsen & Peter Reinhard Hansen & Asger Lunde & Neil Shephard, 2008. "Designing Realized Kernels to Measure the ex post Variation of Equity Prices in the Presence of Noise," Econometrica, Econometric Society, vol. 76(6), pages 1481-1536, November.
    2. Constantin ANGHELACHE & Cristian Marian BARBU & Mădălina Gabriela ANGHEL & Sorinel CĂPUȘNEANU, 2018. "Study of population by domicile and residence. Natural movement and imbalances," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(4(617), W), pages 25-38, Winter.
    3. Black, Fischer, 1972. "Capital Market Equilibrium with Restricted Borrowing," The Journal of Business, University of Chicago Press, vol. 45(3), pages 444-455, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:agr:journl:v:4(621):y:2019:i:4(621):p:149-162 is not listed on IDEAS
    2. Madalina-Gabriela Anghel & Constantin Anghelache & Stefan Virgil Iacob, 2022. "Theoretical Elements Regarding The Management Of A Dynamic Portfolio," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 1, pages 91-96, February.
    3. Constantin Anghelache & Dana Luiza Grigorescu & Iulian Radu, 2019. "Models Used in the Analysis of Production and Consumption," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 9(4), pages 24-29, October.
    4. Gordon J. Alexander & Alexandre M. Baptista, 2004. "A Comparison of VaR and CVaR Constraints on Portfolio Selection with the Mean-Variance Model," Management Science, INFORMS, vol. 50(9), pages 1261-1273, September.
    5. Pradosh Simlai, 2009. "Stock returns, size, and book‐to‐market equity," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 26(3), pages 198-212, July.
    6. Chang, Eric C. & Cheng, Joseph W. & Khorana, Ajay, 2000. "An examination of herd behavior in equity markets: An international perspective," Journal of Banking & Finance, Elsevier, vol. 24(10), pages 1651-1679, October.
    7. Ho, Ron Yiu-wah & Strange, Roger & Piesse, Jenifer, 2006. "On the conditional pricing effects of beta, size, and book-to-market equity in the Hong Kong market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(3), pages 199-214, July.
    8. George G. Kaufman, 1980. "Duration, Planning Period, And Tests Of The Capital Asset Pricing Model," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 3(1), pages 1-9, March.
    9. Constantinos Antoniou & John A. Doukas & Avanidhar Subrahmanyam, 2016. "Investor Sentiment, Beta, and the Cost of Equity Capital," Management Science, INFORMS, vol. 62(2), pages 347-367, February.
    10. Abugri, Benjamin A. & Dutta, Sandip, 2014. "Are we overestimating REIT idiosyncratic risk? Analysis of pricing effects and persistence," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 249-259.
    11. repec:dau:papers:123456789/2256 is not listed on IDEAS
    12. Toshiaki Ogawa & Masato Ubukata & Toshiaki Watanabe, 2020. "Stock Return Predictability and Variance Risk Premia around the ZLB," IMES Discussion Paper Series 20-E-09, Institute for Monetary and Economic Studies, Bank of Japan.
    13. Anders Johansson, 2009. "An analysis of dynamic risk in the Greater China equity markets," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 7(3), pages 299-320.
    14. Takahashi, Makoto & Watanabe, Toshiaki & Omori, Yasuhiro, 2016. "Volatility and quantile forecasts by realized stochastic volatility models with generalized hyperbolic distribution," International Journal of Forecasting, Elsevier, vol. 32(2), pages 437-457.
    15. Christos Floros & Konstantinos Gkillas & Christoforos Konstantatos & Athanasios Tsagkanos, 2020. "Realized Measures to Explain Volatility Changes over Time," JRFM, MDPI, vol. 13(6), pages 1-19, June.
    16. Hany Shawky & Ronald Forbes & Alan Frankle, 1983. "Liquidity Services and Capital Market Equilibrium: The Case for Money Market Mutual Funds," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 6(2), pages 141-152, June.
    17. Donelli, Nicola & Peluso, Stefano & Mira, Antonietta, 2021. "A Bayesian semiparametric vector Multiplicative Error Model," Computational Statistics & Data Analysis, Elsevier, vol. 161(C).
    18. Malavasi, Matteo & Ortobelli Lozza, Sergio & Trück, Stefan, 2021. "Second order of stochastic dominance efficiency vs mean variance efficiency," European Journal of Operational Research, Elsevier, vol. 290(3), pages 1192-1206.
    19. Frazzini, Andrea & Pedersen, Lasse Heje, 2014. "Betting against beta," Journal of Financial Economics, Elsevier, vol. 111(1), pages 1-25.
    20. Asai, Manabu & McAleer, Michael, 2015. "Leverage and feedback effects on multifactor Wishart stochastic volatility for option pricing," Journal of Econometrics, Elsevier, vol. 187(2), pages 436-446.
    21. Agiakloglou, Christos & Gkouvakis, Michail, 2015. "Causal interrelations among market fundamentals: Evidence from the European Telecommunications sector," The Quarterly Review of Economics and Finance, Elsevier, vol. 55(C), pages 150-159.
    22. Rostagno, Luciano Martin, 2005. "Empirical tests of parametric and non-parametric Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR) measures for the Brazilian stock market index," ISU General Staff Papers 2005010108000021878, Iowa State University, Department of Economics.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:agr:journl:v:xxvi:y:2019:i:4(621):p:149-162. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mircea Dinu (email available below). General contact details of provider: https://edirc.repec.org/data/agerrea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.