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Macroeconomic Analysis and Parametric Control of a Regional Economic Union pp 73–201Cite as

Macroeconomic Analysis and Parametric Control Based on Global Multi-country Dynamic Computable General Equilibrium Model (Model 1)

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Abstract

This chapter illustrates the efficiency of parametric control based on the dynamic computable general equilibrium (CGE) model that was developed from the static model Globe 1 [43].

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References

  1. Arnold VI (1988) Geometrical methods in the theory of ordinary differential equations. Springer-Verlag, New York

    Google Scholar 

  2. Arnold VI, Gusein-Zade SM, Varchenko AN (1985) Singularities of differential maps. Volume I. Birkhauser, Boston, Basel, Stuttgart

    Google Scholar 

  3. Ashimov AA, Sultanov BT, Adilov ZM, Borovskiy YV, Novikov DA, Alshanov RA, Ashimov AA (2013) Macroeconomic analysis and parametrical control of a national economy. Springer, New York

    Google Scholar 

  4. Bobylev NA, Emel’yanov SV, Korovin SK (1998) Geometricheskie metody v variatsionnykh zadachakh (geometrical methods in variational problems). Magistr, Moscow. (in Russian)

    Google Scholar 

  5. Vasil’ev FP (1998) Chislennye metody resheniya ekstremal’nykh zadach (numerical solution methods for extremum problems). Nauka, Moscow. (in Russian)

    Google Scholar 

  6. Golubitsky M, Guillemin V (1973) Stable mappings and their singularities. Springer-Verlag, New York

    Google Scholar 

  7. Dubovskii SV (1995) Kondratiev’s cycle as the object of modeling. Matematicheskoe Modelirovanie 7(6):65–74. (in Russian)

    Google Scholar 

  8. Zangwill WI (1969) Nonlinear programming: a unified approach. Prentice-Hall, Englewood Cliffs

    Google Scholar 

  9. Ioffe AD, Tihomirov VM (1979) Theory of extremal problems (studies in mathematics and its applications). Elsevier Science Ltd, Nord Holland

    Google Scholar 

  10. Magnitskii NA, Sidorov SV (2004) Novye metody khaoticheskoi dinamiki (new methods of chaotic dynamics). Editorial URSS, Moscow. (in Russian)

    Google Scholar 

  11. Mal’tsev AI (1970) Osnovy lineinoi algebry (foundations of linear algebra). Nauka, Moscow. (in Russian)

    Google Scholar 

  12. Orlov AI (2002) Ekonometrika (Econometrics). Ekzamen, Moscow. (in Russian)

    Google Scholar 

  13. National Bank of Kazakhstan: official foreign exchange rates on average for different periods. http://www.nationalbank.kz/?docid=364&switch=english

  14. Petrenko EI (2006) Development and implementation of symbolic set construction algorithms, differentsial’nye uravneniya i protsessy upravleniya, no. 3, pp. 55–96. (in Russian)

    Google Scholar 

  15. Abdiev KS (ed) (2001–2009) Statisticheskii ezhegodnik Kazakhstana (the statistical yearbook of Kazakhstan). Agency of Statistics of the Republic of Kazakhstan, Almaty

    Google Scholar 

  16. Input-Output Tables for the Republic of Kazakhstan. http://stat.gov.kz/faces/wcnav_externalId/homeNationalAccountIntegrated?_afrLoop=1957715428599407#%40%3F_afrLoop%3D1957715428599407%26_adf.ctrl-state%3D5dxvt5qzd_50

    Google Scholar 

  17. Ulam S (1960) Problems in modern mathematics. Wiley, New York

    Google Scholar 

  18. Holodniok M, Klich A, Kubichek M, Marek M (1986) Methods of analysis of nonlinear dynamic models. Academia, Prague. (In Czech)

    Google Scholar 

  19. Ekeland I, Témam R (1987) Convex analysis and variational problems. SIAM, Philadelphia

    Google Scholar 

  20. Abouharb R, Duchesne E (2011) World bank structural adjustment programs and their impact on economic growth: a selection corrected analysis. In: The 4th annual conference on the political economy of international organizations. http://wp.peio.me/wp-content/uploads/2014/04/Conf4_Abouharb-Duchesne-30.09.2010.pdf

  21. Albonico A, Calés L et al The global multi-country model (GM): an estimated DSGE model for Euro Area countries. European Commission JRC working paper in economics and finance no. 2017/10

    Google Scholar 

  22. André FJ, Cardenete MA, Romero C, Designing Public Policies (2010) An approach based on multi-criteria analysis and computable general equilibrium modeling. In: Lecture notes in economics and mathematical systems, vol 642. Springer, Berlin

    Google Scholar 

  23. Antosiewicz M, Kowal P MEMO III – a large scale multi-sector DSGE model. IBS Research report no. 02/2016

    Google Scholar 

  24. Baxter M, King RG (1999) Measuring business cycles approximate band-pass filters for economic time series. Rev Econ Stat 81(4):575–593

    Google Scholar 

  25. Beidas-Strom S, Cashin P (2011) Are middle eastern current account imbalances excessive? IMF working paper no. 11–195

    Google Scholar 

  26. Bergstrom T (2015) Lecture notes on elasticity of substitution. http://econ.ucsb.edu/~tedb/Courses/GraduateTheoryUCSB/elasticity_of_substitution2015.pdf

  27. Bofinger P, Wollmershauser T Managed floating: theory, practice and ERM II. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.551.7858&rep=rep1&type=pdf

  28. Breuss F (2009) An estimated two-country DSGE model of Austria and the Euro Area. Empirica 36(1):123–158

    Google Scholar 

  29. Chow GC, Lin A (1971) Best linear unbiased interpolation, distribution, and extrapolation of time series by related series. Rev Econ Stat 55:372–375

    Google Scholar 

  30. Christoffel K, Coenen G, Warne A (2008) The new area-wide model of the Euro Area: a micro-founded open-economy model for forecasting and policy analysis. European Central Bank working paper no. 0944

    Google Scholar 

  31. Corong EL, Hertela TW, Mcdougall RA, Tsigas ME, van der Mensbrugghe D (2017) The standard GTAP model, version 7. J Glob Econ Anal 2(1):1–119

    Google Scholar 

  32. Del Negro M, Schorfheide F (2008) Forming priors for DSGE models. J Monet Econ 55(7):1191–1208

    Google Scholar 

  33. Devarajan S, Robinson S (2002) The impact of computable general equilibrium models on policy. In: Conference on frontiers in applied general equilibrium modeling. https://www.pep-net.org/sites/pep-net.org/files/typo3doc/pdf/DevarajanRobinson.pdf

  34. Dixon PB, Parmenter BR (1996) Computable general equilibrium modelling for policy analysis and forecasting. In: Handbook of computational economics, vol 1. Elsevier Science B.V, Melbourne, pp 3–85

    Google Scholar 

  35. Ianchovichina E, Walmsley T (eds) (2012) Dynamic modeling and applications for global economic analysis. Cambridge University Press, Cambridge

    Google Scholar 

  36. Fair RC Macroeconometric modeling. https://fairmodel.econ.yale.edu/mmm2/mm.pdf

  37. Fair RC, Taylor JB (1983) Solution and maximum likelihood estimation of dynamic nonlinear rational expectations model. Econometrica 51(4):1169–1185

    Google Scholar 

  38. Ferris M, Munson T PATH 4.7. http://www.gams.com/latest/docs/solvers/path/index.html

  39. Foroni C, Guerin P, Marcellino M Using low frequency information for predicting high frequency variables. http://static.norges-bank.no/pages/103966/Working_Paper_13_15.pdf?v=12/10/2015105048AM&ft=.pdf

  40. Fujiwara I, Hara N, Hirosr Y, Taranishi Y (2005) The Japanese economic model (JEM). Monetary Econ Stud 23(2):61–142

    Google Scholar 

  41. GAMS. www.gams.com

  42. Geweke J (1999) Using simulation methods for bayesian econometric models: inference, development and communication. Econ Rev 18(1):1–73

    Google Scholar 

  43. GLOBE CGE Model. www.cgemod.org.uk/globe1.html

  44. Gomes S, Jacquinot P, Pisani M, The EAGLE (2010) A model for policy analysis of macroeconomic interdependence in the Euro Area. Bank of Italy working paper no. 770

    Google Scholar 

  45. Grander C, Newbold P (1974) Spurious regressions in econometrics. J Econ 2:111–120

    Google Scholar 

  46. Granger C, Jeon Y (2004) Thick modeling. Econ Model 21:323–343

    Google Scholar 

  47. GTAP Data Base. www.gtap.agecon.purdue.edu/databases/default.asp

    Google Scholar 

  48. Hamilton J (1994) Time series analysis. Princeton University Press, Princeton

    Google Scholar 

  49. UN. Statistics Division (1999) Handbook of input-output table compilation and analysis. United Nations, New York

    Google Scholar 

  50. Hastings W (1970) Monte Carlo sampling methods using Markov Chains and their applications. Biometrika 57(1):97–109

    Google Scholar 

  51. Herbsta E, Schorfheide F (2012) Evaluating DSGE model forecasts of comovements. J Econ 171(2):152–166

    Google Scholar 

  52. Iacoviello M (2015) Financial business cycles. Rev Econ Dyn 18(1):140–163

    Google Scholar 

  53. Isard P, Faruqee H (1998) Exchange rate assessment: extensions of the macroeconomic balance approach. IMF Occasional paper no. 167

    Google Scholar 

  54. Khan HA (2004) Using macroeconomic computable general equilibrium models for assessing poverty impact of structural adjustment policies. ADB Institute Discussion paper no. 12. https://think-asia.org/bitstream/handle/11540/3600/2004.07.dp12.macroeconomic.equilibrium.models.poverty.pdf?sequence=1

  55. Kumhof M, Laxton D, Muir D, Mursula S (2010) The global integrated monetary and fiscal model (GIMF) – theoretical structure. IMF working paper no. 10/34

    Google Scholar 

  56. Lalonde R, Muir D (2007) The bank of Canada’s version of the global economy model (BoC-GEM). Bank of Canada Technical report no. 98

    Google Scholar 

  57. Lee J et al (2008) Exchange rate assessments: CGER methodologies. IMF Occasional paper no. 261

    Google Scholar 

  58. Leeper E, Plante M, Traum N (2014) Dynamics of fiscal financing in the United States. NBER working paper no. 15160. http://www.nber.org/papers/w15160.pdf

  59. Ljung GM, Box GEP (1978) On a measure of a lack of fit in time series models. Biometrika 65(2):297–303

    Google Scholar 

  60. Macro-Econometric Multi-Country Model: MEMMOD. Deutsche Bundesbank. https://www.bundesbank.de/Redaktion/EN/Downloads/Tasks/Monetary_policy/economics_macro_econometric_multi_country_model.pdf?__blob=publicationFile

  61. Measuring Inflation – the Harmonized Index of Consumer Prices (HICP). https://www.ecb.europa.eu/stats/prices/hicp/html/index.en.html

  62. Medina JP, Soto C (2007) The chilean business cycles through the lens of a stochastic general equilibrium model. Central Bank of Chile working paper no. 457

    Google Scholar 

  63. More JJ, Sorensen DC (1983) Computing a trust region step. SIAM J Sci Stat Comput 3:553–572

    Google Scholar 

  64. Naastepad CWM (2002) Effective supply failures and structural adjustment: a real–financial model with reference to India. Cambridge J Econ 26(5):637–657

    Google Scholar 

  65. Negro MD, Eusepi S et al (2013) The FRBNY DSGE model. The Federal Reserve Bank of New York Staff report no. 647

    Google Scholar 

  66. Nelder JA, Mead R (1965) A simplex method for function minimization. Comput J 7:308–313

    Google Scholar 

  67. NLPEC. https://www.gams.com/latest/docs/S_NLPEC.html

  68. Quint D, Rabanal P (2014) Monetary and macroprudential policy in an estimated DSGE model of the Euro Area. Int J Cent Bank 10(2):169–236

    Google Scholar 

  69. Razafindrabe TM, Multi-Country A (2016) DSGE model with incomplete exchange rate pass-through: an application for the Euro-Area. Econ Model 52(Part A):78–100

    Google Scholar 

  70. Rees D, Smith P, Hall J A multi-sector model of the Australian economy. Reserve Bank of Australia Research Discussion paper no. 2015–07

    Google Scholar 

  71. Resende CD, Dib A, Kichian M (2010) Alternative optimized monetary policy rules in multi-sector small open economies: the role of real rigidities. Bank of Canada working paper no. 9

    Google Scholar 

  72. Robinson C (1980) Structural stability on manifolds with boundary. J Differ Equ 37:1–11

    Google Scholar 

  73. Shishido S, Nakamura O (1992) Induced technical progress and structural adjustment: a multi-sectoral model approach to Japan’s growth alternatives. J Appl Input-Output Anal 1(1):1–23

    Google Scholar 

  74. Sims C (2002) Solving linear rational expectations models. Comput Econ 20(1):1–20

    Google Scholar 

  75. Sims С Random lagrange multipliers аnd transversality. http://sims.princeton.edu/yftp/Macro2010/rlg.pdf

  76. Smets F et al (2010) DSGE models and their use at the ECB. SERIEs 1(1–2):51–65

    Google Scholar 

  77. Smets F, Wouters R (2003) An estimated dynamic stochastic general equilibrium model of the Euro Area. J Eur Econ Assoc 1(5):1123–1175

    Google Scholar 

  78. Tapiero CS (1998) Applied stochastic models and control for finance and insurance. Springer, New York

    Google Scholar 

  79. Tokarick S (2014) A method for calculating export supply and import demand elasticities. J Int Trade Econ Dev 23(7):1059–1087

    Google Scholar 

  80. Tovar CE (2009) DSGE models and central banks. Economics 3(16):1–31

    Google Scholar 

  81. World Economic Outlook Databases. http://www.imf.org/external/ns/cs.aspx?id=28

  82. World Integrated Trade Solution. http://wits.worldbank.org

  83. Zografakis S, Sarris A (2015) A multisectoral computable general equilibrium model for the analysis of the distributional consequences of the economic crisis in Greece. In: The 14th conference on research on economic theory and econometrics. http://www2.aueb.gr/conferences/Crete2015/Papers/Sarris.pdf

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Authors and Affiliations

  1. Kazakh National Research Technical University after K.I. Satpayev, Almaty City, Kazakhstan

    Abdykappar A. Ashimov, Yuriy V. Borovskiy, Bakyt T. Sultanov & Mukhit A. Onalbekov

  2. V.A.Trapeznikov Institute of Control Sciences (Russian Academy of Sciences), Moscow, Russia

    Dmitry A. Novikov

Authors
  1. Abdykappar A. Ashimov
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  2. Yuriy V. Borovskiy
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  3. Dmitry A. Novikov
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  4. Bakyt T. Sultanov
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  5. Mukhit A. Onalbekov
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Ashimov, A.A., Borovskiy, Y.V., Novikov, D.A., Sultanov, B.T., Onalbekov, M.A. (2020). Macroeconomic Analysis and Parametric Control Based on Global Multi-country Dynamic Computable General Equilibrium Model (Model 1). In: Macroeconomic Analysis and Parametric Control of a Regional Economic Union. Springer, Cham. https://doi.org/10.1007/978-3-030-32205-2_2

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