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Durable consumption and asset management with transaction and observation costs

机译:持久的消费和资产管理以及交易和观察成本

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The empirical evidence on rational inattention lags far behind the theoretical developments: micro evidence on the most immediate consequence of observation costs the infrequent observation of state variables is not available in standard datasets. We contribute to lling the gap with two novel household surveys that record the frequency with which investors observe the value of their nancial investments, as well as the frequency with which they trade in nancial assets and durable goods. We use these data to test some predictions of existing models and show that to match the patterns in the data we need to modify these models by shifting the focus from non-durable to durable consumption. The model we develop features both observation and transaction costs and implies a mixture of time-dependent and state-dependent rules, where the importance of each rule depends on the ratio of the observation to the transaction cost. Numerical simulations show that the model can produce frequency of portfolio observations and asset trading comparable to that of the median investor (about 4 and 0.4 per year, respectively) with small observation costs (about 1 basis point of nancial wealth) and larger transaction costs (about 30 basis points of nancial wealth). In spite of its small size the observation cost gives rise to infrequent information gathering (between monthly and quarterly). A quantitative assessment of the relevance of the observation costs shows that the behavior of investors is essentially unchanged compared to the one produced by a model with transaction but no observation cost. We test a novel prediction of the model on the relationship between assets trades and durable-goods trades and nd that it is aligned with the data.
机译:关于理性注意力不集中的经验证据远远落后于理论发展:关于观察结果最直接后果的微观证据耗费了对状态变量的不频繁观察,这在标准数据集中是不可用的。我们通过两项新颖的家庭调查为缩小差距做出了贡献,该调查记录了投资者观察其金融投资价值的频率以及他们交易金融资产和耐用品的频率。我们使用这些数据来测试对现有模型的一些预测,并表明要匹配数据中的模式,我们需要通过将重点从非持久性消费转移到持久性消费来修改这些模型。我们开发的模型既具有观察成本又具有交易成本,并且包含时间相关规则和状态相关规则的混合,其中每个规则的重要性取决于观察与交易成本的比率。数值模拟表明,该模型可以产生与中位投资者相当的投资组合观察和资产交易频率(分别约为每年4和0.4),观察成本较小(金融财富约为1个基点),而交易成本较大(金融财富的大约30个基点)。尽管其规模很小,但观测成本却导致了不频繁的信息收集(在每月和每季度之间)。对观察成本相关性的定量评估表明,与具有交易但没有观察成本的模型所产生的行为相比,投资者的行为基本上没有变化。我们在资产交易和耐用品交易之间的关系上测试了该模型的新颖预测,并发现该预测与数据一致。

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  • 来源
    《Working Paper Series》 |2010年第15835期|p.a11-47b1-b9|共58页
  • 作者单位

    University of Chicago Department of Economics 1126 East 59th Street Chicago, IL 60637 and NBER;

    European University Institute Economics Department Villa San Paolo 50133 Florence ITALY;

    University of Sassari Department of Economics and Ente Einaudi, via Due Maeelli, 73 00184 Rome-Italy;

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