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用Hedonic函数估计中国PC机价格指数

孙琳琳, 任若恩

孙琳琳, 任若恩. 用Hedonic函数估计中国PC机价格指数[J]. 北京航空航天大学学报社会科学版, 2007, 20(2): 18-21.
引用本文: 孙琳琳, 任若恩. 用Hedonic函数估计中国PC机价格指数[J]. 北京航空航天大学学报社会科学版, 2007, 20(2): 18-21.
shu
SUN Lin-lin, REN Ruo-en. Hedonic Price Indexes for Personal Computer[J]. Journal of Beijing University of Aeronautics and Astronautics Social Sciences Edition, 2007, 20(2): 18-21.
Citation: SUN Lin-lin, REN Ruo-en. Hedonic Price Indexes for Personal Computer[J]. Journal of Beijing University of Aeronautics and Astronautics Social Sciences Edition, 2007, 20(2): 18-21.
shu

用Hedonic函数估计中国PC机价格指数

  • 1.

    北京航空航天大学 人文社会科学学院, 北京 100083


  • 2. 北京航空航天大学 经济管理学院, 北京 100083

基金项目: 国家自然科学基金项目(70173029).
详细信息
    作者简介:

    孙琳琳(1980-),女,河北邢台人,讲师,博士,研究方 向为国际竞争力.

  • 中图分类号: F407.67

Hedonic Price Indexes for Personal Computer

  • 1.

    School of Humanities and Social Sciences, Beijing University of Aer onautics and Astronautics, Beijing 100083, China


  • 2. School of Economics and Management, Beijing University of Aeronautics and Ast ronautics,Beijing 100083, China

Funds: 国家自然科学基金项目(70173029).

摘要

    摘要
  • 摘要: 建立PC机价格指数时样本的质量调整问题变得越来越突出。文章运用线性和非线性的Hedoni c函数估计中国1995～2005年的PC机价格指数。最终的估计结果表明,中国质量调整后的PC 机价格指数平均每年下降35%。从这个结果可见,考虑质量调整对于价格指数的估计结果有 很大的影响。
    Abstract: In this paper we construct a number of quality-adjusted price indexes for perso nal computers in the China marketplace over the period 1995—2005. Linear and no nlinear hedonic models are estimated using data from personal computers. The res ults indicate that nominal quality-adjusted prices declined at an average annua l rate of 35%. We conclude that taking quality changes into account has an enorm ous impact on the time pattern of price indexes for PC-s. 
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    • 参考文献(19)
  • [1] Court A T. Hedonic Price Indexes with Automotive Examples . New York: General Motors Corporation, 1939. 99-117.
    [2] Griliches, Zvi. Hedonic Price Indexes for Automobiles: An Econometric Analysis of Quality Change . NBER. In The Price Statistics of the Federal G overnment . New York: NBER,1961. 173-196.
    [3] Rosen S. Hedonic Prices and Implicit Markets[J], Journal of Politic al Economy, 1974,(82):34-55.
    [4] Triplett, Jack E. The Economic Interpretation of Hedonic Methods[J] . Survey of Current Business January, 1986,(66):36-40.
    [5] Triplett, Jack E. Hedonic Functions and Hedonic Indexes . Eatwell J, Milgate M, Newman P. In The New Palgrave: A Dictionary o of Economics . London: Macmillan, 1987. 630-634.
    [6] Triplett, Jack E. Hedonic Methods in Statistical Agency Environments: An Intellectual Biopsy . Ernst R Berndt, Jack E. Triplett In FiftyYears of Economic Measurement: The Jubilee of the Conference on Research in Income and W ealth . Chicago: University of Chicago Press, 1990. 207-233.
    [7] Landefeld J. Steven, Bruce T Grimm. A Note on the Impact of Hedonics and Computers on Real GDP[J]. Survey of Current Business, 2000,(80):17-22.
    [8] Berndt E R, Griliches Z, Rappaport N. Econometric Estimates of Price s in Indexes for Personal Computers in the 1990s[J]. Journal of Econometrics,1 995,(68):243-268.
    [9] Holdway M. Quality-Adjusting Computer Prices in the Producer Price I ndex: An Overview[M]. Washington. DC: United States Bureau of Labor Statistic s, 2001. 38-42.
    [16] Westerhoff F. Central Bank Intervention and Feedback Traders[J]. Inter national Financial Market, Institutions, and Money, 2003,(13): 419-427.
    [17] 刘晓光, 刘晓峰. 基于agent的股票交易模拟及应用[J]. 计算机工程与应用, 20 04,(21): 220-222.
    [18] Chakrabarti R, Roll R. Learning from Others, Reacting and Market Quality [J]. Journal of Financial Markets, 1999,(2): 153-178.
    [19] Hu J, Weliman M P. Learning about Other Agents in a Dynamic Multiagent S ystem [J]. Journal of Cognitive Systems Research, 2001,(2): 67-79.
    [20] Chen S H, Yeh C. Evolving Traders and the Business School with Genetic P rogramming: A New Architecture of Agent-based Artificial Stock Market[J]. Jou rnal of Economic Dynamics and Control, 2001,(25): 363-394.
    [21] Kendall G, Su Y. The Co-evolution of Trading Strategies in A Multi-age nt Based Simulated Stock Market Through the Integration of Individual Learning a nd Social Learning[J]. Evolutionary Computation, 2003,(4): 2298-2305.
    [22] Ehrentreich N. A Corrected Version of the Santa Fe Institute Artificial Stock Market Model[J]. Journal of Economic Behavior and Organization, 2005,(2).
    [23] Farmer J D, Joshi S. The Price Dynamics of Common Trading Strategies . Journal of Economic Behavior and Organization, 2002,(49): 149-171.
    [24] LeBaron B. Calibrating an Agent-based Financial Market . Waltham, M A: International Business School, Brandeis University, 2002.
    [25] Schulenburg S, Ross P. An Adaptive Agent-based Economic Model . Lan zi P, Stolzmann W, Wilson S. Learning Classier Systems: From Foundations to App lications . London: Springer-Verlag, 2000: 263-282.
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出版历程
  • 收稿日期:  2005-07-05
  • 发布日期:  2007-06-24

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