| 參考文獻: | Adolfson, M., S. Las´een, J. Lind´e, and M. Villani (2008), “Evaluating an Estimated New Keynesian Small Open EconomyModel,” Journal of Economic Dynamics and Control, 32, 2690–2721.
Aiello, W., F. Chung, and L. Lu (2002), Random evolution of massive graphs,
In: Handbook of Massive Data Sets, Abello J., Pardalos P. M., and Re-sende M. G. C. (Eds.), Kluwer Press, Dordrecht.
Albert, R., H. Jeong, and A.-L. Barab_asi (1999), “Diameter of the world-wide Web,” Nature, 401, 130-131.
Alesina, A. and Summers, L. H. (1993), “Central bank independence and macroeconomic performance: some comparative evidence,” Journal of Money,Credit and Banking 25, 151-162.
Altavilla, C and Landolfo, L. 2005. “Do central banks act asymmetrically? Empirical evidence from the ECB and the Bank of England,” Applied Economics, 37, 507–19.
Barab_asi, A-L. and R. Albert (1999), “Emergence of scaling in random networks,” Science 286, 509-512.
Barro, R. J. and D. B. Gordon (1983), ”Rule, Discretion, and Reputation in a Model of Monetary Policy,” Journal of Monetary Economics, 12, 101-21.
Bask, M. (2007), ”Long swings and chaos in the exchange rate in a DSGE model with a Taylor rule,” Working Paper.
Blinder, A. S. (1998), ”Central Banking in Theory and Practice,” Cambridge, MA: MIT Press.
Blinder, A.S., 2000. ”Central Bank Credibility: Why Do We Care? How Do We Build It?” The American Economic Review Vol 90, 5, 1421-1431
Branch, W.A. and B. McGough (2009), ”A new Keynesian model with het-erogeneous expectations,” Journal of Economic Dynamics and Control,33,1036-1051.
Calvo, Guillermo A., (1978) “On the Time Consistency of Optimal Policy in a Monetary Economy,” Econometrica, 1411-28.
Castro, V., (2008) “Are Central Banks following a linear or nonlinear (augmented) Taylor rule?,” University of Warwick, Department of Economics.
Chang, C.-L. and S.-H. Chen (2012), “Interactions in DSGE Models: The Boltzmann–Gibbs Machine and Social Networks Approach”, Economics E-Journal
Chen, S.-H., C.-L. Chang and Y.-H. Tseng (2012), “Social Networks, Social Interaction and Macroeconomic Dynamics: How Much Could Ernst Ising Help DSGE?”, International Review of Business and Finance.
Chen, Y. C. and P. Kulthanavit (2010), “Monetary policy design under imperfect knowledge: An open economy analysis,” Working Paper.
Cho In-Koo and Kenneth Kasa(2003), ”Learning Dynamics and Endogenous Currency Crises”, Tech.Rep.132, Society for Computational Economics,Computing in Economics and Finance 2003.
Christiano, L., M. Eichenbaum, and C. Evans (2005), “Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy,” Journal of Political Economy,113, 1–45.
Clarida, R., J. Gali, and M. Gertler (1998), “Monetary Policy Rules in Practice: Some International Evidence,” European Economic Review, 42, 1033–1067.
Clarida, R., J. Galí and M. Gertler(1999), “The Science of Monetary Policy: A New-Keynesian Perspective”, Journal of Economic Literature, 37, 1661-1707.
Colander, D., P. Howitt, A. Kirman, A. Leijonhufvud, and P. Mehrling(2008), “Beyond DSGE Models: Toward an empirically based macroeconomics,”
American Economic Review, 98(2), 236-240.
Colander, D. (2010), “The economics profession, the financial crisis, and method,” Journal of Economic Methodology, 17(4), 419-427.
Cukierman, A. (1992) “Central Bank Strategy, Credibility, and Independence.”
Cambridge, MA: MIT Press,
De Grauwe, P. (2010a), “The scientific foundation of dynamic stochastic gen-eral equilibrium (DSGE) models,” Public Choice, 144, 413-443.
De Grauwe, P. (2010b), “Animal spirits and monetary policy,” Economic Theory,Volume 47, Numbers 2-3 (2011), 423-457
Delli Gatti, D., E. Gaffeo, M. Gallegati and A. Palestrini (2005), “The Apprentice Wizard: Monetary Policy,Complexity and Learning”, New Mathematics and Natural Computation, 1, 109–128.
Ebel, H., L.-I. Mielsch, and S. Bornholdt (2002), “Scale-free topology of e-mail networks,” Physical Review E, 66, 035103.
Faloutsos, M., P. Faloutsos, and C. Faloutsos (1999), “On power-law relationships of the internet topology,” Computer Communications Review, 29, 251-262.
Follmer, H. (1974), “Random economies with many interacting agents, “Journal of Mathematical Economics, 1, 51-62.
Freeman, L. C. (1977), “A set of measures of centrality based on betweenness,” Sociometry 40, 35-41.
Iori, G. (1999), “Avalanche dynamics and trading friction effects on stock market returns,” International Journal of Modern Physics C, 10, 1149-1162.
Iori, G. (2002), “A micro-simulation of traders activity in the stock market:the role of heterogeneity, agents interactions and trade friction,” Journal of Economic Behavior and Organization, 49, 269-285.
Ising, E. (1924), “Beitrag zur Theorie des Ferround Paramagnetismus,” Ph.D.thesis, Hamburg University Press.
Kazanas,T.,Philippopoulos,A. and Tzavalis,E (2011), “Monetary Policy Rules And Business Cycle Conditions,” The Manchester School Volume 79, Issue Supplement s2, 73–97
Kim, S (1999), ”Does Monetary Policy Shocks Matter in the G-7 Countries ? Using Common Identifying Assumptions about Monetary Policy across Countries,” Journal of International Economics, 47, 871-93.
Kydland, F. E. and E. C. Prescott (1977), “Rules rather than Discretion: the Inconsistency of Optimal Plans,” Journal of political Economy, 85, 473-93.
Kydland, F.E., and E.C. Presscott (1982), “Time to Build and Aggregate Fluctuations,” Econometrica, 50(6), Nov., 1345-1370.
Lengnick, M. and H. C. Wohltmann (2010), “Agent-based financial markets and New Keynesian macroeconomics: a synthesis,” Working Paper.
Leontief, W. (1951), “The Structure of the American Economy,” Oxford University Press.
Lohmann, S. (1992), “Optimal Commitment in Monetary Policy: Credibility versus Flexibility,” American Economic Review, 82, 273-86.
Lucas, Robert E., Jr. (1976), “Econometric Policy Evaluation: A Critique,” Carnegie Rochester Conference Series on Public Policy, 1, 19-46.
Milani, F. (2009), “Adaptive learning and macroeconomic inertia in the Euro area,” Journal of Common Market Studies, 47, 579-599.
Newman,M. (2010), “Networks: An Introduction,” Oxford University Press, Oxford,UK.
Olmedo, A., (2002), “Asymmetries in the Central Bank Behaviour,” THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
Opsahl, T., Agneessens, F., Skvoretz, J. (2010). “Node centrality in weighted networks: Generalizing degree and shortest paths,” Social Networks 32, 245-251.
Orphanides, A. and J. C. Williams (2007), “Robust monetary policy with imperfect knowledge,” Journal of Monetary Economics, 54, 1406-1435.
Persson, T. and G. Tabellini (1993), “Designing Institutions for Monetary Stability,” Carnegie-Rochester Series on Public Policy, 39, 33-84.
Quesnay, F. (1758), “Tableau Economique, Republished in 1972, Kuczynski M. and Meek R. L. (Eds.),” Macmillan Press.
Raberto, M., A. Teglio and S. Cincotti (2008), “Integrating Real and Financial Markets in an Agent-Based Economic Model: An Application to Monetary Policy Design,” Computational Economics, 32, 147–162,10.1007/s10614-008-9138-2.
Rogoff, K. (1985), “The Optimal Degree of Commitment to an Intermediate Monetary Target,” Quarterly Journal of Economics, 100, 1169-89.
Simons, Henry C. “Rules versus Authorities in Monetary Policy,” Journal of Political Economy (February 1936), 1-30.Reprinted in Friedrich A. Lutz and Lloyd W. Mints, eds.,Readings in Monetary Theory (Richard D. Irwin, Inc., 1951).
Solow, R. (2010), “Building a science of economics for the real world,” Prepared Statement to the House Committee on Science and Technology Subcom-mittee on Investigations and Oversight, July 20, 2010.
Sornett, D. and W.-X. Zhou (2006), “Importance of positive feedbacks and over condence in a self-fullling Ising model of financial markets,” PhysicaA, 370, 704-726.
Stone, R. (1961), “Input-output and national accounts,” OECD, Paris.
Svensson, L. E. O. (1998), “Inflation Targeting as A Monetary Policy Rule,” Journal of Monetary Economics,43, 607-54.
Svensson, L. E. O. (1999), “Inflation Targeting: Some Extensions,” Scandinavian Journal of Economics, 101,337-361.
Svensson, L. E. O. (2000), “Open-Economy Inflation Targeting,” Journal of International Economics, 50,155-83.
Svensson, L. E. O. (2009), “Evaluating Monetary Policy,” NBER Working Paper, No. 15385.
Svensson, L. E. O. and M. Woodford (2005), “Implementing Optimal Policy through Inflation-Forecast Targeting,” The Inflation-Targeting Debate, University of Chicago Press, 19-83.
Taylor, J. B. (1979), “Estimation and Control of Macroeconomic Model with Rational Expectations,” Econometric, 47, 1267-86.
Taylor, J. B. (1993), “Discretion versus Policy Rules in Practice,”Carnegie-Rochester Conference series on Public Policy, 39, 195-214.
Taylor, M. P. and E. Davradakis (2006), “Interest Rate Setting and Inflation Targeting: Evidence of a Nonlinear Taylor Rule for the United Kingdom,” Studies in Nonlinear Dynamics and Econometrics, 10, 1–18.
Taylor, J.B. and J.C. Williams (2011). “Simple and Robust Rules for Monetary Policy.” In Handbook of Monetary Economics. Eds. B. Friedman and M. Woodford. USA:
North-Holland.
Velupillai, K. V. (2011), “DSGE and beyond: Computable and Constructive challenges,” ASSRU Discussion Papers, 10-2011/II. http://www.assru.economia.unitn.it/les/DP 10 2011 II.pdf
Waller, C. J. (1992), “The Choice of a Conservative Central Banker in a Multisector Economy,” American Economic Review, 82, 1006-12.
Walsh, C. E. (1995) “Optimal Contracts for Central Bankers,” American Economic Review 85, 1, 150-67.
Walsh, C. E. (2003), “Monetary Theory and Policy,” 2nd ed., London: The MIT Press.
Wasserman, S., Faust, K., (1994) “Social Network Analysis: Methods and Applications,” Cambridge University Press, New York, NY.
Watts, D. J. and S. H. Strogatz (1998), “Collective dynamics of small-world networks,” Nature, 393, 440-442.
Woodford, M. (2003), “Interest and Prices: foundations of a theory of monetary policy,” Princeton, N.J.: Princeton University Press.
Zaklan, G., F. Westerho, and D. Stauer (2009), “Analysing tax evasion dynamics via the Ising model,” Journal of Economic Interaction and Coordination, 4, 1-14. |
