我国经济周期阶段性和波动性的动态计量研究
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摘要
我国经济正处于快速增长阶段,我国经济增长态势和经济周期波动也呈现出新的特征,经济运行也已经从“大起大落”型转变成“高位平缓”型,宏观经济调控取得了显著成效并积累了宝贵经验。本文采用动态计量方法对我国经济周期波动特征进行描述和检验,并寻求我国经济周期波动的重要“典型化事实”和经济政策启示。论文主要从以下四个方面展开研究:
     首先,总结经济周期理论的发展过程及代表性学说以及现代宏观经济学中的主要经济周期理论,并介绍了经济周期理论的研究现状。分别对实际经济周期理论、货币经济周期理论(MBC模型)、政治经济周期理论(PBC模型)进行数理分析和推导。
     其次,对经济周期趋势成分和波动成分的测度与划分方法进行介绍,这其中主要包括HP滤波、状态空间模型分解等。同时对我国产出序列的成分进行分解,并度量周期波动的持久性。
     再次,对我国经济周期波动的阶段性进行检验和度量。介绍马尔可夫区制转移模型及其应用的扩展以及门限自回归模型,分别检验了两区制——三区制的门限自回归模型和马尔可夫区制转移模型。并应用小波分析方法在对我国经济周期波动进行测度,检验我国货币政策中的“托宾效应”。
     最后,利用GARCH模型、Granger因果关系检验以及Plucking模型,对我国经济周期波动的非对称形态进行检验并分析其成因。
According to the economic histories around the world,every country has been through the economic fluctuation. The fluctuations in the business cycle will cause losses of national wealth,and the loss is as much as the degree of fluctuation. Although people can not erase the phenomenon of business cycle by themselves,people can mastery the rule of business cycle and avoid the degree of fluctuation and recession of economic thereby people can reduce the loss of national wealth.
     By using the latest research and empirical results of the world, I sum up the character, measurement and analysis of the single variable and group variables of volatility. I analyzed and compared the latest theory, econometric model and method, examined their applicability of business cycle in our country. This thesis composed by:
     (1) Summing up development process and representative's theory and the main theories in the modern macroeconomics of business cycle theories, and introduced the research present condition of business cycle theories. I carry through the mathematics analysis of the real business cycle (RBC model), monetary business cycle theories (MBC model), and political business cycle (PBC model) separately.
     (2) Introducing the measurement of trend component and cycle component of time series, including HP filter, state space decomposition and so on. In the mean time, I decomposed the real production series of our country, and measured the durability of the volatility of business cycle.
     (3) Carrying through examination and character to the phases of business cycle. I introduced the Markov switching model and threshold autoregressive model, examined the 2– 3 regimes of MS model and TAR model.
     (4) I applied wavelet analysis to measure the volatility of business cycle of our country, and examined the“Tobin Effects”of our monetary policy.
     (5) By using of GARCH model, Granger examination and Plucking model, I examine the asymmetry of business cycle of our country, and analyzed the causes of it.
     According to the researching and analyzing of business cycle of our country, I draw conclusions as below:
     (1) Analyzed the modern business cycle theories of various typical models under the frame of modern business cycle. I use the principles of neoclassical economics to research the volatility model of business cycle, and discuss the correction of RBC model based on the thought in explaining real economics more reasonable, including family affair in real business cycle theory and RBC model in non-walrasian economics. Secondly I introduce the MBC theories and model, including price confusing produced by money, cash-in-advance model and the development of MBC model. At last I construct the PBC model and derive the optimum path of inflation by using non-homogeneous differential equation method.
     (2) Comparing and summing up the generous methods of volatility of measuring business cycle in researching business cycle. I decompose the trend component and cycle component of real production series of our country by using UC model and B-N decomposing method, I discovered some important“typical facts”in dynamic process of real production series of our country, I discovered the existence of trend component and cycle component in the real production series of our country and has great differences of duration of cycle, regardless make use of UC model, H-P filter, and B-N decomposing. The“Big cycle”length that the former acquired about 9 years, and then acquire of“small cycle”length be about 3 years. The main reason of the difference lies in the correlation of the trend component disturbance and the cycle component disturbance. If the length of“small cycle”closed to the realistic of business cycle of our country, this means that there are correlation of trend component and cycle component in volatility of China’s business cycle. In the examination and characterization in trend decomposition and durative of random shocks of our country, I discovered not only the significant existence of cycle component and trend component, but also the durative of random shocks. This means weather positive shocks or negative shocks in aggregate demand, these effects of shocks in real production have durative. This is the important reason that there is durative of volatility of business cycle in our country.
     (3) I partitioned and examined the phases of volatility of China’s business cycle through Markov switching model and threshold autoregressive model, I discovered that there appears the rule of high-speed-growth, medium-speed-growth and low-speed-growth in China’s economic growth. From 1991 to 2003, the economic growth presented integrity cycle volatility, the cycle length is about 13 years. From low-speed-growth turning into medium-speed-growth which was beginning from 1st quarter in 1991, to high-speed-growth which from 4th quarter in 1994, it came to the peek point in the first two quarters in 1993, then came into“soft landing”that lasted 5 years. In this period, the economic had been through medium-speed-growth period from 2nd quarter in 1996 to 4th quarter in 1997, and it had been through low-speed-growth period that lasted 5 years from 1st quarter in 1998 to first two quarters in 2002. The economic had been in climbing situation from 3rd and 4th quarter in 2002, and came into high-speed-growth period in 1st quarter 2005. We can see from transition probabilities that China’s economic has the steadiest situation and the longest duration in“medium-speed-growth period”, the probability of business cycle turning into this period is max. In the mean time, China’s business cycle has asymmetry that described by not only the difference of duration of cycle phase but also the difference of transition probability of cycle phase. The length of duration of“medium-speed-growth period”is 5 times then the length of other two periods. This means“medium-speed-growth”is the main representative character. In all regimes, the durative is more then the degree of transition both in“medium-speed-growth period”and“high-speed-growth period”(the duration probability are 94.9% and 63.7% and the transition probability are 5.1% and 36.2% in this two regimes), this means that it will come into being some sort of“trap effect”in this two periods. Considering the transition probability is more then duration probability in“high-speed-growth period”(transition probability is 74.9%, duration probability is 25.1%), this means that there will be recession risk if the economic come into“high-speed-growth period”, we should notice that in case the high volatility of economic.
     (4) Based on wavelet analysis method, I decomposed the time series in different time scales, examined typical facts of the correlation between the inflation and economic growth, and revealed some characters of China’s economic. It appeared that the correlation is positive in most time scales except d1 and d2 time scales by using regressive analysis of wavelet domain and wavelet correlation analysis. I discovered that there is positive correlation between inflation and economic growth in the long run which is drew conclusion from wavelet correlation analysis. It can be seen that there is significant“Tobin effect”in China’s economic because there are significant positive correlation between inflation and industry growth rate. This means that price level had significant effect in real production, also means the validity of monetary policy indirectly. Therefore we can consider positive monetary policy in the situation of stable aggregate demand, and promote rapid growth of economic by inducing inflation.
     (5) By examined influence relation between economic growth and inflation and Plucking model, I researched the asymmetry of China’s business cycle, and discovered that: It came into being“loss effect”in the level that the real production growth rate and volatility of inflation, which means indetermination of production and price behavior cause the negative effect. There is upper limit of production trend came from“plucking effect”in China’s real production series, this upper limit of trend corresponded to potential production level. There are difference between the upper limit of trend of real production growth rate and natural growth rate, the former corresponding the production level under the full use of economic resource (even excessive use), the later corresponding production level under proper growth rate (effective usage of economic resources). There is asymmetry in China’s business cycle, and it appears different patterns of business cycle, such as“rapid growth and rapid recession”,“proper growth and proper recession”,“rapid growth and proper recession”and“proper growth and rapid recession”. These patterns had related to the degree of volatility in expanding phase and recession phase. I discovered that the volatility is higher then other period in recession period of China’s business cycle, and this volatility produced“Plucking effects”and“overflow effects”on economic growth. In the normal growth process, it will be in sufficient situation of supply in essentials and techniques if real production is lower then trend level significantly, it will enlarge the market demand that if positive economic policy is proceeded in this situation, and it will be expanding effects in production. This will raise the economic growth rate and come into being significant economic fluctuation in short term.
引文
① Say 的《政治经济论述》出版于 1803 年,中译本出版于 1963 年,本文参考中译本。
     ② Hume 的《政治论文集》出版于 1752 年,中译本出版于 2003 年,本文参考中译本。
     ④ Hobson 的《分配经济学》和《帝国主义:研究》分别出版于 1900 年和 1902 年,中译本分别出版于 1969 年和 1964 年,本文参考中译本。
    ⑤ Keynes 的《就业、利息和货币通论》出版于 1936 年,中译本出版于 1987 年,本文参考中译本。
    [1] Say, J.B., 1752, 《政治经济学概论》,商务印书馆1963年版。
    [2] Hume, D., 政治论文集, 中国政法大学出版社2003年07月第1版
    [3] Hobson, J. A.,《帝国主义:研究》,纪明译,1964 上海:上海人民出版社。
    [4] Hobson, J. A.,《分配经济学》.夏道平译,1969 ,台北:台湾银行出版社。
    [5] Keynes, J. M., 1936,《就业利息和货币通论》,北京:商务印书馆1987年
    [6] 费尔普斯,E. S., 《宏观经济思想的七个学派》,克拉伦敦出版社,1990。
    [7] 库兹涅茨:《各国的经济增长》,商务印书馆,1985 年中译本。
    [8] 刘国光:“论社会主义经济发展的波浪式运动”,《社会主义再生产问题》,三联书店,1980,第一版。
    [9] 刘金全,《现代宏观经济冲击理论》,吉林大学出版社,1999,第一版。
    [10] 刘金全,《宏观经济政策作用机制的理论基础与计量研究》,2007,经济科学出版社。
    [11] 石柱鲜,黄红梅,刘俊生,王立勇,我国经济周期波动分析与 2006~2007年主要经济指标预测——利用频带分析方法,《经济蓝皮书》,陈佳贵主编,社会科学文献出版社,2006 年。
    [12] 亚当斯密:《国民财富的性质和原因的研究》中译本,商务印书馆,1981,第一版。
    [13] 陈磊:“中国转轨时期经济增长周期的基本特征及其解释模型”,《管理世界》,2002 年第 12 期
    [14] 董文泉、高铁梅、陈磊、吴桂珍:“Stock-Watson 型景气指数及其对我国经济的应用”,《数量经济技术经济研究》, 1995 年第 12 期
    [15] 高铁梅、王金明:“年中国宏观经济发展趋势的分析与预测”,《数量经济与技术经济研究》,2003 年第 6 期
    [16] 姜国楹:“要展开对社会主义经济周期的研究”,《经济学周报》,1983年 8 月 22 日
    [17] 刘金全,李庆华,刘志刚:“经济周期波动中均值水平与条件波动性的状态划分及相关性检验”,《吉林大学社会科学学报》2007 年第 3 期
    [18] 刘金全,李庆华,郑挺国:“具有平滑迁移的 ARFIMA 模型及其应用”,《中国管理科学》2007 年第 3 期
    [19] 刘金全,刘志刚:“我国经济周期波动中实际产出波动性的动态模式与成因分析”,《经济研究》,2005 年第 3 期
    [20] 刘金全、谢卫东:“中国经济增长与通货膨胀的动态相关性”,《世界经济》2003 年第 6 期。
    [21] 刘金全,范剑青:“中国经济波动的非对称性和相关性研究”,《经济研究》,2001 年第 5 期。
    [22] 刘金全,张鹤:“经济增长风险的冲击传导和经济周期波动的‘溢出效应’”,《经济研究》2003 年第 10 期。
    [23] 刘金全,张鹤:“我国经济中‘托宾效应’和‘反托宾效应’的实证检验”,《管理世界》,2004 年第 5 期
    [24] 刘金全,张海燕:“经济周期态势与条件波动性的非对称性关联分析”,《管理世界》,2003 年第 9 期
    [25] 刘金全:“从“软着陆“到“软扩张”——论我国经济增长的阶段性和宏观经济调控的政策取向”,《经济学动态》2003 年 5 期,38-41
    [26] 刘树成,:“论中国经济增长与波动的新态势”,《中国社会科学》2000 年第 1 期。
    [27] 刘树成:“中国经济波动的新轨迹”,《经济研究》,2003 年第 3 期。
    [28] 刘树成:“新一轮经济周期的背景特点”,《经济研究》2004 年第 3 期。
    [29] 吕光明; 齐鹰飞:“中国经济周期波动的典型化事实:一个基于 CF 滤波的研究”,《财经问题研究》, 2006 年 07 期
    [30] 石柱鲜、黄红梅、石庆华:“关于中国潜在 GDP 与景气波动、通货膨胀的经验研究”,《世界经济》,2004 年第 8 期。
    [31] 王少平:“我国实际 GNP 的时间趋势与周期裂变”,《经济研究》,1999年第 7 期。
    [32] 徐大丰、朱平芳、刘弘:“中国经济周期的非对称性问题研究”,《财经研究》,2005 年第 4 期。
    [33] 袁志刚、何樟勇:“以新的视角审视当前中国宏观经济增长”,《经济研究》, 2004 年第 7 期
    [34] Banerjee, A., Dolado, J., Galbraith, J. W. and D. F Hendry, 1993, “Cointegration, Error-Correction, and the Econometric Analysis of Non Stationary Data”, Oxford University Press.
    [35] Box, G. E. P. and Jenkins, G., 1970. Time Series Analysis: Forecasting and Control, San Francisco, Holden-day.
    [36] Bry, G. and Boschan, C., 1971. Cyclical Analysis of Time series: Selected Procedures and Computer Programs, NBER, New York.
    [37] Burns, A. F. and Mitchell, W. A., 1946. Measuring Business Cycles, NBER, New York.
    [38] Courakis, A., 1981. Inflation, Depression and Economic Policy in the West, Totowa, Barnes and Noble,.
    [39] DeLong, B. and Summers, L., 1986. Are Business cycles symmetrical? American Business Cycles: Continuity and Change, University of Chicago Press, Chicago, 166-179.
    [40] Enders, W., 1995. Applied Econometric Time Series, John Wiley & Sons, Inc.
    [41] Franses and van Dijk, 2000. Nonlinear Time Series Models in Empirical Finance, Cambridge University Press.
    [42] Friedman, M. and Schwartz, A. J., 1963. A Monetary History of the United States, 1867-1960, Princeton University Press.
    [43] Grenander, U. and Rosenblatt, M., 1957. Statistical Analysis of Stionary Time Series, New York
    [44] Haberler, G., 1960. Prosperity and Depression, 4th ed. Cambridge, Harvard University Press.
    [45] Haberler, G., 1944. Reading in Business Cycle Theory, Philadelphia, The Blakiston Company.
    [46] Hamilton, J. D., 1994. Time Series Analysis, Princenton, Princenton University Press.
    [47] Harvey, 1989, Forecasting structural time series models and the kalman filter, Cambridge University Press, 554 pp.
    [48] Hill, M. S., 1984. Patterns of time use, Time, Goods and Well-Being, University of Michigan Press.
    [49] Hobson, J. A., 1922. The Economics of Unemployment, London, Allen and Unwin.
    [50] Jenkins, G. M. and Watts, D. G., 1968. Spectral Analysis and Its Applications, San Francisco, Holden Day.
    [51] Keynes, J. M., 1936. The General Theory of Employment, Interest and Money, New York, Harcourt Brace Jovanovich.
    [52] Kim, C. J. and Nelson, C. R., 1999b. State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications. The MIT Press.
    [53] Krolzig, H. M., 1997. Markov-Switching Vector Autoregressions: Modelling, Statistical Inference and Application to Business Cycle Analysis. Springer,
    [54] Lahhiri, K. and Moore, G. H., 1991. Leading Economic Indicators: New Approaches and Forecasting Records, Cambridge, Cambridge University Press.
    [55] Mankiw, G. and Romer, D., 1991. New Keynesian Economics, Cambridge, Massachusetts Institute of Technology Press.
    [56] Mills, 1999, The Econometric Modelling of Financial Time Series (2nd ed.), Cambridge University Press, Cambridge (1999).
    [57] Minsky, H., 1986. Stabilizing an Unstable Economy, New Haven, Yale University Press.
    [58] Mitchell, W. C., 1927. Business Cycles: The Problem and Its Setting, NBER, New York.
    [59] Otnes, R. K. and Enochson, L., 1978. Applied Time Series Analysis, New York.
    [60] Persson, T. and Tabellini, G., 1990. Macroeconomic Policy, Credibility and Politics, Harwood Academic Publishers, Chur, Switzerland.
    [61] Pollock, D.S.G., 1999, A Handbook of Time Series Analysis, Signal Processing and Dynamics, San Diego, Academic Press.
    [62] Schumpeter, J. A., 1939. Business Cycle: A Theoretical, Historical and Statistical Analysis of the Capitalist Process, New York, McGraw-Hill.
    [63] Sims, C. A., 1977. New Methods in Business Cycle Research: Proceeding from a Conference, Minneapolis.
    [64] Stock, J. H. and Watson, M. W., 1993. New Business Cycles Indicators and Forecasting, Chicago, Chicago University Press,
    [65] Tong, H., 1990. Non-linear Time Series: A Dynamical System Approach,Oxford: Oxford University Press.
    [66] Tufte, E., 1978. Political Control of the Economy, Princeton, Priceton University Press.
    [67] Wolfson, Martin H. 1986. Financial Crises. Armonk New York, M.E. Sharpe Inc
    [68] Abeysinghe, T. and Gulasekaran, R., 2004. Quarterly real GDP estimates for China and Asian with a forecast evaluation, Journal of Forecasting, 23, 431-447.
    [69] Agenor, P. R., McDermott, J. C. and Prasad, E. S., 2000. Macroeconomic fluctuations in developing countries: some stylized facts, World Bank Economic Review, 14, 251-285.
    [70] Akerlof, G., 1982. Labor contracts as a partial gift exchange, Quarterly Journal of Economics, 97, 543-569.
    [71] Alesina, A., 1987. Macroeconomic policy in a two-party system as a repeated game, Quarterly Journal of Economics. 102, 651-678
    [72] Alexander R. J., 1977, Inflation and economic growth: evidence from a growth equation, Applied Economics, 29, 97-108.
    [73] Alexopoulos, M., 2004, Unemployment and business cycle, Journal of Monetary Economics, 51, 277-298.
    [74] Andolfatto, D., 1996, Business cycles and labor-market search, American Economic Review, 86, 112-132
    [75] Ashley, R. A. and Patterson D. M., 1989. Liner versus nonlinear macroeconomics: a statistical test, International Economic Review, 30: 685-704.
    [76] Backus, D. and Kehoe, P., 1992. International evidence on the historical properties of Business Cycles, American Economic Review, 82, 864 - 888.
    [77] Backus, D. K., Kehoe, P. J. and Kydland, F., 1994. International Real Business Cycles, Journal of Political Economy, 101, 745-775.
    [78] Baldwin, P., Ottaviano, G.P. and Martin P., 2001, Global income divergence, trade, and industrialization: the geography of growth take-offs, Journal of Economic Growth, 6, 5–37.
    [79] Barro, R. J., 1977, Unanticipated Money Growth and Unemployment in the United States. American Economic Review, 67: 101-115.
    [80] Barro, R. J., 1981. Output Effects of Government Purchases, Journal of Political Economy, vol. 89, no. 6
    [81] Barro, R. J., 1996. Inflation and growth, Federal Reserve Bank of St. Louis Review, 78, 145-161.
    [82] Baxter, M. and Crucini, M, 1993. Business cycles and the asset structure of foreign trade, Working Paper, Rochester Center for Economic Research, University of Rochester.
    [83] Baxter, M. and King, R. G., 1999. Measuring business cycles: approximate band-pass filters for economic time series, The Review of Economics and Statistics, 81(4), 575-593.
    [84] Baxter, M. and King, R., 1990, Productive Externalities and Cyclical Volatility, University of Rochester, working paper 245.
    [85] Bean, C., 1990. Endogenous growth and the pro-cyclical behavior of productivity. European Economic Review, 34, 355-363.
    [86] Beaudry, P. and G. Koop, 1993, Do Recessions Permanently Change Output? Journal of Monetary Economics, 31, 149-163.
    [87] Becker, G. S., 1965. A theory of the allocation of time, Economic Journal, 75, 493-517.
    [88] Becker, G. S., 1988, Family economics and macrobehavior, American Economic Review, Vol. 78, No. 1, 1-13
    [89] Benassy, J. P., 1995. Money and wage contracts in an optimizing model of the business cycle, Journal of Monetary Economics. Volume 35, Issue 2, 303-315.
    [90] Benhabib, J. 1992, Cycle and Chaos in Economic Equilibrium, Princeton University Press, Princeton
    [91] Benhabib, J., Rogerson, R. and Wright, R., 1991. Homework in Macroeconomics: household production and aggregate fluctuations, Journal of Political Economy, 99, 1166-1187.
    [92] Beveridge, S., and Nelson, C., 1981. A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the business cycle, Journal of Monetary Economics, 7, 151-174.
    [93] Blackburn, K., 1999. Can stabilization policy reduce long-run growth? The Economic Journal, 109(1), 67-77.
    [94] Blanchard, O., 1981. Output, the stock market, and interest rates, AmericanEconomic Review, 71(1), 132-143.
    [95] Blanchard. O. and Simon. J., 2001. The long and large decline in US output volatility, Brookings Papers on Economic Activity, 1, 135-174.
    [96] Blanchard. O. and Simon. J., The Long and Large Decline in US Output Volatility, Brookings Papers on Economic Activity 2001, 1, 135-174.
    [97] Brannas, K. and Gooijer J. G. 1991. Modelling business cycle data using autoregressive-asymmetric moving average models, Umea Economic Studies N.252.
    [98] Briault, C., 1995. The costs of inflation, Bank of England Quarterly Bulletin, 35, 365-374.
    [99] Brock, W. and Sayers, C., 1988. Is the business cycle characterized by deterministic chaos, Journal of Monetary Economics, 22, 71-90.
    [100] Broddy, R. and Crotty, J., 1975. Class conflict and macro-policy, Review of Padical Political Economics, 7, 1-17.
    [101] Brown, B.Y. and R.S. Mariano, 1989. Predictors in dynamic nonlinear models: large sample behaviour, Econometric Theory 5, 430-52.
    [102] Brunner, A. D., 1992. Conditional asymmetries in real GNP: A Seminonparametric Approach, Journal of Business and Economic Statistics, 10: 65-72.
    [103] Burnside, C., 1998. Detrending and business cycle facts: a comment, Journal of Monetary Economics, 41: 513-532.
    [104] Burridge, P. and Wallis, K. F., 1984. Unobserved component models for seasonal adjustment filters, Journal of Business and Economic Statistics, 2, 350-359.
    [105] Campbel, J. and Mankiw. G., 1987. Permanent and transitory components in macroeconomics fluctuations. The American Economic Review, 77(2), 111-117.
    [106] Canova, F., 1998. Detrending and business cycle facts, Journal of Monetary Economics, 41, 475-512.
    [107] Caporale, T., and McKiernan, B., 1996. The relationship between output variability and growth: evidence from post war UK data. Scottish Journal of Political Economy, 43(2), 229-236.
    [108] Carlstrom, C. T. and Fuerst, T. S., 1995. Interest rate rules vs. money growth rules: a welfare comparison in a cash-in-advance economy, Journal of Monetary Economics. Volume 36, Issue 2, 247-267.
    [109] Chan, K. S. 1993. Consistency and Limiting Distribution of the Least Squares Estimator of a Threshold Autoregressive Model, The Annals of Statistics, 21, 520 - 33.
    [110] Chan, K.S. and H. Tong, 1990. On likelihood ratio tests for threshold autoregression, Journal of the Royal Statistical Society B 52, 469-76.
    [111] Chan, K.S., 1990. Testing for threshold autoregression, Annals of Statistics 18, 1886-94.
    [112] Charles T. C. and Timothy S. F., 2001. "Timing and real indeterminacy in monetary models," Working Paper 9910R, Federal Reserve Bank of Cleveland.
    [113] Cho, J. O. and Clooley, T. F., 1990. The business cycle with nominal contracts, Working paper, University of Rochester.
    [114] Cho, J. O. and Phaneuf, L., 1993. A business cycle model with nominal wage contracts and government, Working paper, University of Quebeca Montreal, Montreal.
    [115] Cho, J. O., 1990. Money, nominal contracts and business cycle: I. One period contract case, Working paper, Queen’s University, Kingston.
    [116] Christiano, L. J., Gust, C. and Roldos, J., 2004. Monetary policy in a financial crisis, Journal of Economic Theory, 119, 64-103.
    [117] Christiano, L.J. and Eichenbaum, M., 1992. Liquidity effects and the monetary transmission mechanism, American Economic Review. Vol. 82, No. 2, 346-353
    [118] Christiano, L.J. and Eichenbaum, M., 1995. Liquidity effects , monetary policy and the business cycle, Journal of Money , Credit and Banking. Vol. 27, 113-136
    [119] Christiano, L.J., 1991. Modeling the liquidity effects of a money shock, Federal Reserve Bank of Minneapolis Quarterly Review. Vol. 15 No. 1.
    [120] Christiano, L.J., Eichenbaum, M., and Evans, C. L., 1997. Sticky prices and limited participation model: a comparison, European Economic Review. Volume 41, Issue 6, 1201-1249.
    [121] Clark, P. K., 1987. The cyclical component of U.S. economic activity, The Quarterly Journal of Economics, 102, 797–814.
    [122] Clements, M. P. and Krolzig, HM., 2003. Business Cycle Asymmetries: Characterization and Testing Based on Markov-Switching Autoregressions. Journal of Business & Economic Statistics, Vol. 21,
    [123] Clements, M.P. and J. Smith, 1997. The performance of alternative forecasting methods for SETAR models, International Journal of Forecasting, 13, 463-75.
    [124] Cochrane, J., 1988. How big is the random walk in GNP? Journal of PoliticalEconomy, 96, 893-920.
    [125] Cogley, T. and J. M. Nason, 1995. Effects of the Hodrick-Prescott filter on trend and difference stationary time series. Implications for business cycle research, Journal of Economic Dynamics and Control, 19: 253-278.
    [126] Cooley, T. F. and Hansen, G. D., 1989. The inflation tax in a real business cycle model, American Economic Review. Vol. 79, No. 4, 733-748
    [127] Cooley, T. F. and Hansen, G. D., 1991. The welfare costs of moderate inflations, Journal of Money, Credit and Banking, 23, 483-503.
    [128] Cooley, T. F. and Hansen, G. D., 1992. Tax distortions in a neoclassical monetary economy, Journal of Economic Theory, 58, 290-316.
    [129] Cover, J. P., 1992. Asymmetric effects of positive and negative money-supply shocks. Quarterly Journal of Economics, 13, 1261-1282.
    [130] Crowley, P. M. and Lee, J., 2005. Decomposing the co-movement of the business cycle: a time-frequency analysis of growth cycles in the euro area. Bank of Finland Research Discussion Papers
    [131] Cukierman, A. and Meltzer, A., 1986. A positive theory of discretionary policy, the cost of democratic government and benefits of a constitution, Economic Inquiry, Volume 24 Issue 3, 367-388.
    [132] Danthine, J. P. and Donaldson, J., 1990. Efficiency wages and the business cycle puzzle, European Economic Review, 34, 1275-1301.
    [133] Danthine, J. P. and Girardin, M., 1989. Business cycles in Switzerland: a comparative study, European Economic Review, 33, 31-50.
    [134] Daubechies, I., 1992, Ten Lectures on Wavelets. Philadelphia:SIAM
    [135] Day, R. H, 1982, Irregular Growth Cycles, American Economic Review, 72, 406-414.
    [136] Dickey, D. A. and Fuller W. A., 1979, Distribution of the estimators for autoregressive time series with a unit root, Journal of the American Statistical Association, 74: 427-431.
    [137] Diebold, F. X. and Rudebusch, G. D., 1990, A nonparametric investigation of duration dependence in the American business cycle, Journal of Political Economy, 98: 596-616.
    [138] Diebold, F.X. and Rudebusch, G. D., 1996. Measuring Bussiness Cycles: A Modern Perspective, The Review of Economics and Statistics, 78, 67-77.
    [139] Donoho, D. L., and Johnstone, I. M., 1995. Adapting to unknown smoothness via wavelet shrinkage. J. Am. Statist. Ass. 90, 1200 – 1224.
    [140] Donoho, D. L., Johnstone, I., Kerkyacharian, G. and Picard, D. 1995 Wavelet shrinkage: asymptopia? (with discussion). J. R. Statist. Soc. 57, 301 - 369
    [141] Dotsey, M. and Ireland, P., 1995. Liquidity effects and transaction technologies, Journal of Money, Credit and Banking. Vol. 27, 1441-1457
    [142] Dow, J.P., 1995. The demand and liquidity effects of monetary shocks, Journal of Monetary Economics. Volume 36, Issue 1, 91-115.
    [143] Eisner, R., 1988. Extended accounts for national income and product, Journal of Economic Literature, 26, 1611-1684.
    [144] Elwood, S. K., 1998. Is the persistence of shocks to output asymmetric? Journal of Monetary Economics, 41, 411-426.
    [145] Engle, R. F. and Kozicki S., 1993, Testing for common features, Journal of business and Economic Statistics, 11: 369-380.
    [146] Engle, R. F., 1982. Autoregressive conditional heteroskedasticity with estimates of the variance of the United Kingdom inflation, Econometrica, 50, 987-1008.
    [147] Evans, G. W., Honkapohja, S. and Romer, P., 1998. Growth Cycles, American Economic Review 88, 495-515.
    [148] Falk, B., 1986. Further evidence on the asymmetric behavior of economic time series over the business cycle, Journal of Political Economy. Vol. 94, No. 5, 1096-1109.
    [149] Fama, E. F. and Gibbons, M. R., 1982. Inflation, real returns and capital investment, Journal of Monetary Economics, 297-323
    [150] Findley, D. F., Monsell, B. C., Bell, W. R., Otto, M. C. and Chen, B. C., 1998. New capabilities and methods of the X-12 ARIMA seasonal adjustment program, Journal of Business and Economic Statistics, 16, 127-177.
    [151] Fischer, S., 1977. Long-term contracts, rational expectations and the optimal money supply rule, Journal of Political Economy, 85, 191-206.
    [152] Fisher, J. D. M., 1992. Relative prices, complementarities and co-movement, Manuscript, Northwestern University.
    [153] Frank, B. and Stengos T., 1988. Some evidence concerning macroeconomic chaos, Journal of Monetary Economics, 22: 423-438.
    [154] Friedman, M, 1993. The plucking model of economic fluctuations revisited,Economic Inquiry. Volume 31, Issue 2, 171-77.
    [155] Friedman, M., 1964. Monetary studies of the National Bureau, The National bureau enters its 45th year, in 44th Annual Report, 7-25.
    [156] Friedman, M., 1969, The optimum quantity of money, The Optimum Quantity of Money and Other Essays, Chicago, Aldine, 1-50.
    [157] Fung, S. C., 1992. Inflation, taxation and home production in a real business cycle model, Manuscript, University of Western Ontario.
    [158] Gali, J., 1996. Unemployment in dynamic general equilibrium Economies, European Economic Review, Volume 40, Issues 3-5, 839-845.
    [159] Gartner, M., 1999. The election cycle in the inflation bias evidence from the G-7 countries, European Journal of Political Economy. Volume 15, Issue 4, 705-725.
    [160] George, D., 1981, Equilibrium and catastrophes, Scottish Journal of Political Economy 28, 43–61.
    [161] Glick, R. and Rogoff, K., 1992. Global versus country-specific productivity shocks and the current account, Federal Reserve Bank of San Francisco.
    [162] Gomes, J., Greenwood, J. and Rebelo, S., 1997. Equilibrium unemployment, NBER working paper.
    [163] Gomez, V., 1999. Three equivalent methods for filtering nonstationary time series, Journal of Business and Economic Statistics, 17, 109-116.
    [164] Goodwin, R. M., 1951. The nonlinear accelerator and the persistence of business cycles, Econometrica, 15: 1-17.
    [165] Gray, J. A., 1976. Wage indexation, a macroeconomic approach, Journal of Monetary Economics, 2, 221-235.
    [166] Greenwood, J. and Hercowitz, Z., 1991. The allocation of capital and time over the business cycle, Journal of Political Economy, 99, 1188-1214.
    [167] Greenwood, J., Hercowitz, Z. and Huffman, G. W., 1988. Investment, capacity utilization and the real business cycle, American Economic Review, 78, 402-417.
    [168] Gronau, R., 1977. Leisure, work and home production—the theory of the allocation of time revisited, Journal of Political Economy, 85, 1099-1123.
    [169] Gronau, R., 1986. Home production—a survey, Handbook of Labor Economics, Amsterdam, North Holland.
    [170] Groshen, E. L. and Potter, S., 2003, Has Structural Change Contributed to aJobless Recovery? Current Issues in Economics and Finance 9
    [171] Haan, D. W., Ramey, G. and Watson, J., 2000. Job destruction and the propagation of shocks, American Economic Review. 90, 482-498.
    [172] Hairault, J. O. and Portier, F., 1993. Money, new-Keynesian macroeconomics and the business cycle, European Economic Review. Volume 37, Issue 8, 1533-1568.
    [173] Hall, R. E., 1980. Labor supply and aggregate fluctuations, Carnegie-Rochester Conference Series on Public Policy, 12, 7-33,
    [174] Hall, R., Labor-market frictions and employment fluctuations, NBER working paper, 1998.
    [175] Hamilton, J. D. and Susmel, R., 1994. Autoregressive conditional heteroscedasticity and changes in regime . Journal of Econometrics, 64, 307–333.
    [176] Hamilton, J. D., 1989. A new approach to the economic analysis of non-stationary time series and the business cycle, Econometrica, 57, 357-384.
    [177] Hamilton, J. D., 1990, Analysis of time series subject to changes in regime, Journal of Econometrics. Volume-45, 39-70
    [178] Hansen, B.E., 1992. The likelihood ratio test under non-standard conditions: testing the Markov trend model of GNP, Journal of Applied Econometrics, 7: 61-82.
    [179] Hansen, B.E., 1997. Inference in TAR models, Studies in Nonlinear Dynamics and Econometrics 2, 1-14.
    [180] Hansen, B.E., 2000. Sample splitting and threshold estimation, Econometrica, 68, 575-603.
    [181] Hansen, G. D., 1985. Indivisible labor and the business cycle, Journal of Monetary Economics, 16, 309-327.
    [182] Harvey, A. C. and A. Jaeger 1993. Detrending, stylized facts, and the business cycle, Journal of Applied Econometrics, 8: 231-247.
    [183] Harvey, A. C., 1985. Trends and Cycles in macroeconomic time series, Journal of Business and Economic Statistics, 3: 216-227.
    [184] Hawtrey R. G., 1929, The Monetary Theory of the Trade Cycle The Economic Journal, Vol. 39, No. 156, 636-643
    [185] Hayek, Friedrich A.,1933. Monetary Theory and the Trade Cycle. Translated by N.Kaldor and H.M.Croome.London:Jonathan Cape
    [186] Heinmann, M. and Marchlewitz, G., 1996. Sunspot equilibria in a monetary real business cycle model, Economics Letters. Volume 53, Issue 3, 305-310.
    [187] Hibbs, D., 1977. Political parties and macroeconomic policy, American Political Science Review, Vol. 71, No. 4, 1467-1487.
    [188] Hodrick, R. and Prescott, E. C., Post-war U.S. business cycles: an empirical investigation, Working Paper, Carnegie-Mellon University, Pittsburgh, P. A., 1980.
    [189] Hodrick, R. J., and Prescott, E. C., 1997. Postwar U.S. business cycles: An empirical investigation, Journal of Money, Credit, and Banking 29 (1), 1-16.
    [190] Hussey, R., 1992. Nonparametric evidence on asymmetry in business cycles using aggregate employment time series, Journal of Econometrics, 50: 217-231.
    [191] Hwang, Y., 2001. Relationship between inflation rate and inflation uncertainty, Economics Letters, 73, 179-186.
    [192] Hyndman, R.J., 1995. Highest-density forecast regions for nonlinear and nonnormal time series, Journal of Forecasting, 14, 431–41
    [193] Ireland, P., 2001.Sticky-price models of the business cycle: specification and stability, Journal of Monetary Economics. Volume 47, Issue 1, 3-18.
    [194] Ireland, P., A small, structural, quarterly model for monetary policy evaluation, Carnegie-Rochester Conference Series on Public Policy, 1997.
    [195] Jevons, W. S., 1884, Commercial Crises and Sunspots. Investigations in Currency and Finance, edited by H. S. Foxwell. London: MacMillan and Co., Ltd.
    [196] Johansen, S., 1988. Statistical analysis of cointegration vector, Journal of Economic Dynamics and Control, 12, 231-254.
    [197] Jonsson, G., 1997. Monetary politics and unemployment persistence, Journal of Monetary Economics. Volume 39, Issue 2, 303-325.
    [198] Joseph Zeira, 1994. Informational Cycles. Review of Economic Studies, 61, 31-44.
    [199] Juglar, C. 1862, Des crises commerciales et de leur retour périodique en France, Angleterre et aux Etats-Unis, Paris : Guillaumin et Cie..
    [200] Juster, F. T. and Stafford, F. P., 1991. The allocation of time: empirical findings, behavior models and problems of measurement, Journal of Economic Literature, 29, 471-522.
    [201] Kalecki, M., 1935. A macrodynamic theory of business cycles, Econometrica, 3, 327-344.
    [202] Keen, B. D., 2004. In search of the liquidity effect in a modern monetary model, Journal of Monetary Economics.
    [203] Kim, C-J and Nelson, C. R., 1998. Business Cycle Turning Points, a New Coincident Index, and Tests of Duration Dependence Based on a Dynamic Factor Model with Regime Switching, The Review of Economics and Statistics, 80, 188-201.
    [204] Kim, C-J and Nelson, C. R., 1999a. Friedman's plucking model of business fluctuations: tests and estimates of permanent and transitory components, Journal of Money, Credit and Banking, 31,317-334.
    [205] Kim, C-J., 1993, Unobserved-Component Time Series Models with Markov-Switching Heteroscedasticity: Changes in Regime and the Link between Inflation Rates and Inflation Uncertainty , Journal of Business & Economic Statistics, Vol. 11, No. 3, 341-349
    [206] Kim, J., 2000. Constructing and estimating a realistic optimizing model of monetary policy, Journal of Monetary Economics. Volume 45, Issue 2, 329-359.
    [207] Kimball, M., 1995. The quantitative analytics of the basic neomonetarist model, Journal of Money, Credit and Banking. Vol. 27, 1241-1277
    [208] King, R. G. and Plosser, C. I., 1984. Money, credit and prices in a real business cycle, American Economic Review, 74, 363-380.
    [209] King, R. G. and Rebelo, S. T., 1993. Low frequency filtering and real business cycles, Journal of Economics Dynamics and Control, 17, 207-233.
    [210] King, R. G., and Rebelo, S. T., Business cycles with endogenous growth, Working paper, University of Rochester, 1986.
    [211] King, R. G., Money and business cycle, Working paper, University of Rochester, Rochester, NY, 1990.
    [212] King, R., and Rebelo S., 1993, Low Frequency Filtering and Real Business Cycles, Journal of Economic Dynamics and Control, 17:207-231.
    [213] King, R.G. and Watson, M., 1996. Money, prices, interest rate, and the business cycle, Review of Economics and Statistics. Vol. 78, No. 1, 35-53.
    [214] King, R.G. and Wolman, A. L., 1996. Inflation targeting in a St. Louis model of the 21st century, Federal Reserve Band of St. Louis Review.
    [215] Klein, L. R. and Kosobud R. F., 1961. Some econometrics of growth: great ratios of economics, Quarterly Journal of Economics, 75: 173-198.
    [216] Kondratieff, N. D., 1935, The Long Wave in Economic Life ,Review of Economics and Statistics, 17, 105-115.
    [217] Krolzig, Marcellino and Mizon. 2002. A Markov-Switching VectorEquilibrium Correction Model of the UK Labour Market. Empirical Economics, 27, 233--254.
    [218] Krüger, N. A. and Svensson M., 2007, Economic Fluctuations and Mortality: Evidence from Wavelet Analysis for Sweden 1800-2000; ?rebro University Working Paper Series, Working Paper No. 6, ?rebro University, Sweden.
    [219] Krugman, P. R., 1998. It’s baaack: Japan’s Slump and the Return of Liquidity Trap, Brookings Papers on Economic Activity, 2, 137-205.
    [220] Kydland, F. and Prescott, E. C., 1982. Time to build and aggregate fluctuations, Econometrica, 50, 1345-1370.
    [221] Kydland, F. and Prescott, E. C., 1988. Rules rather than discretion: the inconsistency of optimal plans, Journal of Political Economy, 85, 473-491.
    [222] Kydland, F. and Prescott, E., 1980. A competitive theory of fluctuations and the feasibility and desirability of stabilization policy, in S. Fischer, ed., Rational Expectations and Economic Policy, Chicago: University of Chicago Press.
    [223] Leamer, E. and S. Potter, 2003. A Nonlinear Model of the Business. Cycle, manuscript, Federal Reserve Bank of New York.
    [224] Lin, J.-L. and C.W.J. Granger, 1994. Forecasting from nonlinear models in practice, Journal of Forecasting, 13, 1-9.
    [225] Lindbeck, A., 1976. Stabilization policies in open economics with endogenous politicians, The American Economic Review, Vol. 66, No. 2, Papers and Proceedings of the 88th Annual Meeting of the American Economic Association, 1-19.
    [226] Liu, Z., 2000. Seasonal cycles, business cycles, and monetary policy, Journal of Monetary Economics. Volume 46, Issue 2, 441-464.
    [227] Lohmann, S., 1998. Rationalizing the political business cycle model, Economics and Politics. Volume 10, Issue 1, 1-17
    [228] Long, J. B. and Plosser, C. I., 1983. Real business cycles, Journal of Political Economy, 91, 39-69.
    [229] Lucas, R. E. Jr., 1972. Expectations and the neutrality of money, Journal of Economic Theory, 4,103-123.
    [230] Lucas, R. E. Jr., 1975. An equilibrium model of the business cycle, Journal of Political Economy, 83, 1113-1144.
    [231] Lucas, R. E. Jr., 1977. Understanding business cycles, Stabilization of the Domestic and International Economy, Amsterdam, North Holland,
    [232] Lucas, R. E. Jr., and Stokey, N. L., 1983. Optimal fiscal and monetary policy in an economy without capital, Journal of Monetary Economics, 12, 55-93.
    [233] Lucas, R. E. Jr., and Stokey, N. L., 1987. Money and interest in a cash-in-advance economy, Econometrica, 55, 491-514.
    [234] Lucas, R., 1986. Models of business cycles, Paper prepared for the Yrjo Jannson Lectures, Helsinki, Finland.
    [235] Luukkonen, R. and Terasvirta T., 1991, Testing Linearity of economic time series against cyclical asymmetry, Annales deconomie et de statistique, 20/21: 125-142.
    [236] Maffezzoli, M., 2001. Non-walrasian labor markets and Real Business Cycles, Review of Economic Dynamics. Volume 4, Issue 4, 860-892.
    [237] Malthus, T. R., 1836, Principles of Political Economy: Considered with a View to Their Practical Application, 2nd edn. London: Pickering
    [238] Mankiw, G., 1985. Small menu costs and large business cycles: a macroeconomic model of monopoly, Quarterly Journal of Economics, 100, 529-539.
    [239] Mankiw, G., 1989. Understanding real business cycles, Journal of Economic Perspectives, 3, 78-91.
    [240] Mankiw, G., 1990. A quick refresher course in macroeconomics, Journal of Economic Literature 29, 1063-1078.
    [241] Martin P. and Rogers, C. A., 2000. Long-term and short-term economic instability. European Economic Review, 44, 359-381.
    [242] McGrattan, E. R., Rogerson, R. and Wright, R., 1992. Estimating the stochastic growth model with household production, Manuscript, Federal Reserve Bank of Minneapolis.
    [243] Mendoza, E. G, 1991. Real business cycles in a small open economy, American Economic Review, 81, 797-818.
    [244] Mendoza, E. G. and Smith, K. A., 2002. Margin calls, trading costs and asset process in emerging markets: the financial mechanics of the sudden stop phenomenon, NBER Working Paper.
    [245] Mendoza, E. G., 1995. The terms of trade, the real exchange rate and economic fluctuations, International Economic Review, 36, 101-137.
    [246] Merz, M., 1995. Search in the labor market and the Real Business Cycle, Journal of Monetary Economics. Volume 36, Issue 2, 269-300.
    [247] Morley, J., 2002. A state-space approach to calculating the Beveridge-Nelsondecomposition, Economics Letters, 75, 123-127.
    [248] Neftci, S., 1984. Are economic time –series asymmetric over the business cycle, Journal of Political Economy, 92, 307-328.
    [249] Nelson, C. and Plosser, C., 1982. Trends and random walks in macroeconomics time series. Journal of Monetary Economics, 10, 139-162.
    [250] Nelson, C. R. and Kang, H., 1981, Spurious periodicity in inappropriately detrended time series, Econometrica, 49: 741-751.
    [251] Neumeyer, P. A. and Perri, F., 2005. Business cycles in emerging economies the role of interest rates, Journal of Monetary Economics. Volume 52, Issue 2, 345-380.
    [252] Nordhaus, W., 1975. The Political Business Cycle, Review of Economic Studies. 42, 169-190.
    [253] Nosal, E., Rogerson, R. and Wright, R., 1992. The role of household production in models of involuntary unemployment and underemployment, Canadian Journal of Economics, 25, 507-520.
    [254] Osborn, D. R. 1995. Moving average Detrending and the analysis of business cycles, Oxford bulletin of Economics and Statistics, 57: 547-558.
    [255] Parkin, M., 1986. The output inflation trade-off when prices are costly to change, Journal of Political Economy, 94, 200-224.
    [256] Pemberton, J., 1987. Exact least squares multi-step prediction from nonlinear autoregressive models, Journal of Time Series Analysis 8, 443-8.
    [257] Plosser, C., 1989. Understanding real business cycles, Journal of Economic Perspectives, 3, 51-78.
    [258] Pollak, R. A, and Wachter, M. L., 1975. The relevance of the household production function and its implications for the allocation of time, Journal of Political Economy, 83, 255-277.
    [259] Pollock, D.S.G., 2000, Trend estimation and detrending via rational square wave filters, Journal of Econometrics, 99: 317-334.
    [260] Pollock, D.S.G., 2001a, Methodology for trend estimation, Economic Modelling, 18: 75-96.
    [261] Pollock, D.S.G., 2001b, Filters for short nonstationary sequences, Journal of Forecasting, 20: 341-355.
    [262] Prescott, E., 1986. Theory ahead of business cycle measurement, Carnegie-Rochester Conference Series on Public Policy.
    [263] Raihan, S., Wen, Y., and Zeng, B., 2005, Wavelet: A New Tool for Business Cycle Analysis. The Federal Reserve Bank of St. Louis, Working Paper 2005-050A
    [264] Rios-Rull, J. V., 1993. Working in the market, working at home and the acquisition of skills: a general equilibrium approach, American Economic Review, 83, 893-907.
    [265] Rogerson, R., 1988. Indivisible labor, lotteries and equilibrium, Journal of Monetary Economics, 21, 3-16.
    [266] Rogoff, K. and Sibert, A., 1988. Elections and macroeconomic policy cycles, Review of Economic Studies. Vol. 55, No. 1, 1-16.
    [267] Rogoff, K., 1990. Equilibrium political budget cycles, American Economic Review. Vol. 80, No. 1, 21-36.
    [268] Rudebusch, G. D., 1992. Trends and random walks in macroeconomic time series: a reexamination, International Economic Review, 33: 661-680.
    [269] Salop, S. C., 1979. A model of the natural rate of unemployment, American Economic Review, 69, 117-125.
    [270] Sargent, T. J., 1987. Dynamic macroeconomic Theory. Harvard University Press, Cam-bridge, MA and London, England, .
    [271] Shaikh, A., 1978. An introduction to the history of crisis theories, U. S. Capitalism in Crisis, New-York, Monthly Review Press.
    [272] Shapiro, C. and Stiglitz, J., 1984. Equilibrium unemployment as a worker discipline device, American Economic Review, 74, 433-444.
    [273] Shiskin, J., Young, A. H. and Musgrave, J. C., 1967. The X-11 variant of the census method Ⅱseasonal adjustment program, Technical Paper, Washington, D. C..
    [274] Sichel, D. E, 1994. Inventories and the three phases of the business cycle, Journal of Business Economics and Statistics, 12, 269–78.
    [275] Sichel, D. E., 1989. Are business cycles asymmetric? A correction, Journal of Political Economy, 97: 1055-1060.
    [276] Sichel, D. E., 1993. Business cycles asymmetry: a deep look. Economic Inquiry, 31, 224-236.
    [277] Sieg, G., 1997. A model of partisan central banks and opportunistic political business cycles, European Journal of Political Economy. Volume 13, Issue 3, 503-516.
    [278] Sieg, G., 2001. A political business cycle with boundedly rational agents, European Journal of Political Economy. Volume 17, Issue 1, 39-52.
    [279] Simonde J.C.L.de Sismondi, 1815, Political Economy . History of Economic Thought Books, McMaster University Archive for the History of Economic Thought
    [280] Skalin J. and Terasvirta T., 1999. Another look at Swedish Business Cycle, 1861-1988, Journal of Applied Econometrics, Vol, 14, No. 4, 359-378.
    [281] Sola, M., Fabio S. and Nicola, S., 2002. A test for volatility spillovers. Economics Letters, 76, 77- 84.
    [282] Stein, E. and Streb, J., 1998. Political stabilization cycles in high-inflation economics, Journal of Development Economics. vol. 56, 159-180.
    [283] Stiglitz, J., 1976. Rrices and queues as screening devices in competitive markets, IMSS Technical Report no. 212, Stanford University.
    [284] Stock J.H., Watson M.W., 1989, “New Indexes of Coincident and Leading Economic Indicators”, NBER Macroeconomics Annual, Cambridge. MA: MIT Press.
    [285] Stock, J. H. and Watson, M. W. 1991. A probability model of the coincident economic indicators, in K.Lahiri and G.H. Moore, “Leading Economic Indicators: New Approaches and Forecasting Records”, Cambridge University Press.
    [286] Stutzer ,M., 1980, Chaotic dynamic & bifurcation in a macro model, Journal of Economic Dynamics & Control, Nov.
    [287] Svensson, L. E. O., 1985. Money and asset prices in a cash-in–advance economy, Journal of Political Economy, 93, 919-944.
    [288] Taylor, J., 1979. Staggered price setting in a macro model, American Economic Review, 69, 108-113.
    [289] Terasvirta, T. 1994, Specification, Estimation, and Evaluation of Smooth Transition Autoregressive Models. Journal of the American Statistical Association, 89, 208-218
    [290] Terasvirta, T. and Anderson, H. M., 1992. Characterizing nonlinearities in business cycles using smooth transition autoregressive models, Econometrics, APP1, 119-136.
    [291] Tiao, G.C. and Tsay R. S., 1991. Some advances in nonlinear and adaptive modeling in time series analysis, Technical Report No. 118, Statistics Research Center, Graduate School of Business, University of Chicago.
    [292] Tiao, G.C. and Tsay R. S., 1994,Some advances in non-linear and adaptive modelling in time series, Journal of Forecasting 13, 109–131.
    [293] Tobin, J., 1965. Money and economic growth. Econometrica, 32, 671-684.
    [294] Uribe, M. and Yue, V. Z., 2003. Country spreads and emerging countries: who drives whom, NBER Working Paper.
    [295] Vahid, F. and Engle, R. F, 1993. Common trends and common cycles, Journal of Applied Econometrics, 8:341-360.
    [296] Vahid, F. and Engle, R. F., 1997. Codependent cycles, Journal of Econometrics, 80: 199-221.
    [297] Varian, H.R., 1979, Catastrophe theory and the business cycle, Economic Inquiry 17 14–28.
    [298] Watson, M. 1986. Univariate detrending methods with stochastic trends, Journal of Monetary Economics, 18, 49-761.
    [299] Watson, M., 1993. Measures of fit for calibrated model, Journal of Political Economy. Vol. 101, No. 6, 1011-1041.
    [300] Weisskopf, T., 1978. Marxist Perspectives on cyclical crisis, New-York, Monthly Review Press.
    [301] Weisskopf, T., 1979. Marxian crisis theory and the rate of profit in the postwar U. S. economy, Cambridge Journal of Economics.
    [302] Wen, Y., 1998. Can a real business cycle model pass the Watson test, Journal of Monetary Economics. Volume 42, Issue 1, 185-203.
    [303] Westlund, A. and Ohlen S., 1991, On testing for symmetry in business cycles, Empirical Economics, 16: 479-502.

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