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金融研究  2024, Vol. 529 Issue (7): 1-19    
  本期目录 | 过刊浏览 | 高级检索 |
公众异质预期、信息成本与货币政策传导
宋芳秀, 宋奎壁
北京大学经济学院, 北京 100871
Heterogeneous Expectation, Information Acquisition Cost and Monetary Policy Transmission
Song Fangxiu, Song Kuibi
School of Economics, Peking University
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摘要 本文基于中国人民银行2001—2021年间储户问卷调查数据,应用区制转移向量自回归模型,研究公众异质预期对我国货币政策传导的影响,发现公众异质预期将阻碍货币政策传导、加剧经济的波动,甚至导致货币政策效果与政策目标相悖。文章理论部分构建了一个包含信息成本的异质性预期模型,刻画减弱政策调控效果的理论机制——随着个体信息程度与信息成本的差异扩大,公众预期的异质性增加、更多个体在权衡信息成本后采用不完全信息预期;不完全信息个体将货币政策作为未来经济信息的反映,加剧货币政策的信息效应,从而阻碍了政策的有效传导。进一步的定量分析说明,中央银行可通过加强预期引导和动态调节货币政策以减轻公众异质预期的负面影响。本文的实证和理论研究结果为强化预期管理与提高货币政策传导效率提供了参考。
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宋芳秀
宋奎壁
关键词:  公众异质预期  信息成本  信息效应  预期管理    
Summary:  Heterogeneous expectation lays confounding impacts on both social demand and supply sides, as well as the monetary policy transmission. While China employs macroeconomics policies in an effective and well-coordinated way and maintains positive trajectory over the long run, it still faces the pressures of shrinking domestic demand, uncertain external environment, and weakening expectations. In this context, macroeconomic uncertainty increases the difficulty for agents to precisely perceive the fundamental information about economic development, leading to the variation in expectations. Therefore, it is of great importance to assess how heterogeneous expectations affect the transmission of monetary policy in China. This study aims to answer the following questions: How do heterogeneous expectations affect the transmission of monetary policy in China? What are the underlying mechanisms through which heterogeneous expectations influence monetary policy? Furthermore, what measures can the central bank take to address the impacts of heterogeneous expectations?
The empirical part of our paper examines the impacts of heterogeneous expectation on China's monetary policy transmission. Using household survey data on inflation expectations from the People's Bank of China for the period 2001 to 2021, we calculate the variable for heterogeneous expectations, and employ a smooth-transition vector autoregression (ST-VAR) model with the heterogeneous expectations as the regime variable. The empirical findings reveal that heterogeneous expectations negatively impact monetary policy in China. During periods of high heterogeneous expectations, a 1% monetary-easing shocks lead to 'inverse' effects, with output gaps decreasing by roughly 3% in the short run. Conversely, during periods of low heterogeneous expectations, monetary policies are carried out effectively. These results are consistent for both quantitative-based and price-based monetary policies.
Our theoretical part introduces a New Keynesian model that incorporates information acquisition costs to explain how heterogeneous expectations influence monetary policy transmission. The mechanism can be summarized as follows: agents deviate from perfect information rational expectations due to the cost of acquiring information. As the variation in information among agents increases, expectations become highly heterogeneous, with a larger proportion of agents opting for incomplete information expectations. This amplifies the information effect of monetary policy and hinders its transmission. In the model, heterogeneous expectations of agents' optimal decision-making are divided into two stages. In the first stage, agents choose their expectation type (perfect information rational expectation/incomplete information expectation) based on the trade-off in information cost. In the second stage, they solve a standard optimization problem based on the expectation formed in the first stage. Quantitative analysis shows that heterogeneous expectations reduce the transmission efficiency of monetary policy for both output and inflation. To counteract the negative effects of heterogeneous expectations, we suggest strengthening expectation management and adjusting the intensity of monetary policy as viable strategies.
The research conclusions and policy implications are as follows. Heterogeneous expectation plays a crucial role in monetary policy transmission. Monetary policy becomes less effective and even have ‘inverse' effects under high heterogeneous expectation. The monetary authority should pay attention to public communication and authoritative information disclosure to reduce the public information acquisition cost and enhance the effectiveness of monetary policy transmission. This paper provides both empirical evidence and a theoretical explanation on heterogeneous expectation's effect on monetary policy transmission, enhancing the efficiency of China's monetary policy transmission and for the more effective utilization of monetary policy in macroeconomic management.
Keywords:  Heterogeneous Expectation    Information Acquisition Cost    Information Effect    Expectation Management
JEL分类号:  C32   D83   E52  
基金资助: *本文感谢国家社会科学基金项目(23BJL025)的资助。感谢匿名审稿人的宝贵意见,感谢邬介然、郭豫媚和欧声亮等专家学者的有益点评,文责自负。
通讯作者:  宋奎壁,博士研究生,北京大学经济学院,E-mail:kuibisong@stu.pku.edu.cn.   
作者简介:  宋芳秀,经济学博士,教授,北京大学经济学院,E-mail:sfx@pku.edu.cn.
引用本文:    
宋芳秀, 宋奎壁. 公众异质预期、信息成本与货币政策传导[J]. 金融研究, 2024, 529(7): 1-19.
Song Fangxiu, Song Kuibi. Heterogeneous Expectation, Information Acquisition Cost and Monetary Policy Transmission. Journal of Financial Research, 2024, 529(7): 1-19.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2024/V529/I7/1
[1]卞志村和高洁超, 2014,《适应性学习、宏观经济预期与中国最优货币政策》,《经济研究》第4期, 第32~46页。
[2]陈贞竹、李力和余昌华, 2023,《我国货币政策传导效率及信号效应研究——基于金融市场高频识别的视角》,《经济学(季刊)》第1期, 第56~73页。
[3]邓燕飞、董丰、徐迎风和冯文伟, 2017,《价格刚性, 异质性预期和通货膨胀动态》,《管理世界》第9期, 第17~26页。
[4]高洁超、杨源源和范从来, 2019,《供求冲击、异质性预期与货币政策范式选择》,《财经研究》第3期, 第47~59页。
[5]郭豫媚和周璇, 2018,《央行沟通、适应性学习和货币政策有效性》,《经济研究》第 4期, 第77~91页。
[6]郭豫媚、陈伟泽和陈彦斌, 2016,《中国货币政策有效性下降与预期管理研究》,《经济研究》第1期,第28~41+83页。
[7]何启志和姚梦雨, 2017,《中国通胀预期测度及时变系数的菲利普斯曲线》,《管理世界》第5期, 第66~78页。
[8]隋建利和刘碧莹, 2020, 《未预期货币政策非中性的混频识别:行动与语言的信息效应》, 《世界经济》第 11期, 第176~200页。
[9]王辉、朱家雲和胡诣聪, 2023,《央行预期引导可以降低银行系统性金融风险吗?——基于市场解读偏离的视角》,《金融研究》第9期, 第1~19页。
[10]王少林和林建浩,2017,《央行沟通的可信性与通货膨胀预期》,《统计研究》第10期, 第54~65页。
[11]许志伟、樊海潮和薛鹤翔, 2015,《公众预期、货币供给与通货膨胀动态——新凯恩斯框架下的异质性预期及其影响》,《经济学(季刊)》第4期, 第1211~1234页。
[12]杨源源、张晓林和于津平, 2017,《异质性预期、宏观经济波动与货币政策有效性——来自数量型和价格型工具的双重检验》,《国际金融研究》第9期, 第25~34页。
[13]易纲, 2023,《货币政策的自主性、有效性与经济金融稳定》, 《经济研究》第 6期, 第19~29页。
[14]张蓓, 2009,《我国居民通货膨胀预期的性质及对通货膨胀的影响》,《金融研究》第9期, 第40~54页。
[15]张成思和党超, 2015,《异质性通胀预期的信息粘性与信息更新频率》,《财贸经济》第10期, 第5~18页。
[16]张成思、唐火青和陈贞竹, 2022,《货币政策冲击对实体企业投资选择影响的“宿醉效应”》,《金融研究》第 9期, 第1~19页。
[17]张涛、李跃和陈彦斌, 2010,《中国城镇居民储蓄状况调查与研究》,中国金融出版社。
[18]赵林海和刘兴宗, 2016,《媒体报道、贝叶斯学习与通货膨胀预期异质性》,《财贸经济》第12期, 第57~70页。
[19]Auerbach, A. J. and Y. Gorodnichenko, 2012, “Measuring the Output Responses to Fiscal Policy”, American Economic Journal: Economic Policy, 4(2), pp. 1~27.
[20]Baker, S. R., N. Bloom and S.J. Davis, 2016, “Measuring Economic Policy Uncertainty”, The Quarterly Journal of Economics, 131(4), pp. 1593~1636.
[21]Boneva, L., J. Cloyne, M. Weale and T. Wieladek, 2020, “Firms' Price, Cost and Activity Expectations: Evidence from Micro Data”, The Economic Journal, 130(627), pp. 555~586.
[22]Branch, W. A. and B. McGough, 2009, “A New Keynesian Model with Heterogeneous Expectations”, Journal of Economic Dynamics and Control, 33(5), pp. 1036~1051.
[23]Campbell, J. R., C. L. Evans, J. D. Fisher, A. Justiniano, C. W. Calomiris and M. Woodford, 2012, “Macroeconomic Effects of Federal Reserve Forward Guidance”, Brookings Papers on Economic Activity, pp. 1~80.
[24]Caplin, A. and M. Dean, 2015, “Revealed Preference, Rational Inattention, and Costly Information Acquisition”, American Economic Review, 105(7), pp. 2183~2203.
[25]Carlson, J. A. and M. Parkin, 1975, “Inflation Expectations”, Economica, 42(166), pp. 123~138.
[26]Chen, K., J. Ren and T. Zha, 2018, “The Nexus of Monetary Policy and Shadow Banking in China”, American Economic Review, 108(12), pp. 3891~3936.
[27]Coibion, O. and Y. Gorodnichenko, 2015, “Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts”, American Economic Review, 105(8), pp. 2644~2678.
[28]Coibion, O., Y. Gorodnichenko and S. Kumar, 2018, “How Do Firms Form Their Expectations? New Survey Evidence”, American Economic Review, 108(9), pp. 2671~2713.
[29]Dovern, J., U. Fritsche and J. Slacalek, 2012, “Disagreement among Forecasters in G7 countries”, The Review of Economics and Statistics, 94(4), pp. 1081~1096.
[30]Falck, E., M. Hoffmann and P. Hürtgen, 2021, “Disagreement about Inflation Expectations and Monetary Policy Transmission”, Journal of Monetary Economics, 118, pp. 15~31.
[31]Grossman, S. J. and J. E. Stiglitz, 1980, “On the Impossibility of Informationally Efficient Markets”, American Economic Review, 70(3), pp. 393~408.
[32]Mankiw, N. G. and R. Reis, 2002, “Sticky Information versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips curve”, The Quarterly Journal of Economics, 117(4), pp. 1295~1328.
[33]Mankiw, N. G., R. Reis and J. Wolfers, 2003, “Disagreement about Inflation Expectations”, NBER Macroeconomics Annual, 18, pp. 209~248.
[34]Massaro, D., 2013, “Heterogeneous Expectations in Monetary DSGE Models”, Journal of Economic Dynamics and Control, 37(3), pp. 680~692.
[35]Matějka, F. and A. McKay, 2015, “Rational Inattention to Discrete Choices: A New Foundation for the Multinomial Logit Model”, American Economic Review, 105(1), pp. 272~298.
[36]Melosi, L., 2017, “Signalling Effects of Monetary Policy”, The Review of Economic Studies, 84(2), pp. 853~884.
[37]Nakamura, E. and J. Steinsson, 2018, “High-Frequency Identification of Monetary Non-Neutrality: The Information Effect”, The Quarterly Journal of Economics, 133(3), pp. 1283~1330.
[38]Romer, C. D. and D. H. Romer, 2000, “Federal Reserve Information and the Behavior of Interest Rates”, American Economic Review, 90(3), pp. 429~457.
[39]Sims, C. A., 2003, “Implications of Rational Inattention”, Journal of Monetary Economics, 50(3), pp. 665~690.
[40]Weber, M., F. D'Acunto, Y. Gorodnichenko and O. Coibion, 2022, “The Subjective Inflation Expectations of Households and Firms: Measurement, Determinants, and Implications”, Journal of Economic Perspectives, 36(3), pp. 157~184.
[41]Woodford, M., 2001, “Imperfect Common Knowledge and the Effects of Monetary Policy”, NBER Working Paper No. 8673.
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