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Noise and bias – some controversies raised by the book ‘Noise: A Flaw in Human Judgment’, written by Daniel Kahneman, Olivier Sibony, Cass R. Sunstein 噪音和偏见——由丹尼尔·卡尼曼、奥利维尔·西伯尼、卡斯·r·桑斯坦合著的《噪音:人类判断的缺陷》一书引发了一些争议
Pub Date : 2022-06-30 DOI: 10.5604/01.3001.0015.8792
M. Szreder
The paper reviews and discusses the statistical aspects of the phenomenon called ‘noise’ which Daniel Kahneman, the Nobel Prize winning psychologist, and his colleagues present in their new book entitled ‘Noise: A Flaw in Human Judgment’. Noise is understood by the authors as an unexpected and undesirable variation present in people’s judgments. The variability of judgments influences decisions which are made on the basis of those judgments and, consequently, may have a negative impact on the operations of various institutions. This is the main concern presented and analyzed in this book. The objective of this paper is to look at the relationship between bias and noise – the two major components of the mean squared error (MSE) – from a different perspective which is absent in the book. Although the author agrees that each of the two components contributes equally to MSE, he claims that in some circumstances a reduction of noise can make accurate inference not less, but more difficult. It is justified that the actual impact of noise cannot be accurately determined without considering both bias and noise simultaneously.
本文回顾并讨论了诺贝尔心理学奖得主丹尼尔·卡尼曼及其同事在他们的新书《噪音:人类判断的缺陷》中提出的“噪音”现象的统计方面。噪音被作者理解为人们在判断中出现的一种意想不到的、不受欢迎的变化。判决的多变性影响到根据这些判决作出的决定,因此可能对各种机构的运作产生不利影响。这是本书提出和分析的主要问题。本文的目的是从不同的角度来研究偏差和噪声(均方误差(MSE)的两个主要组成部分)之间的关系,这在书中是没有的。虽然作者同意这两个分量对MSE的贡献是相等的,但他声称,在某些情况下,减少噪声不仅会减少准确的推断,而且会增加推断的难度。如果不同时考虑偏差和噪声,就不能准确地确定噪声的实际影响。
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引用次数: 0
Extended Enders and Siklos test for threshold cointegration 阈值协整的扩展Enders和Siklos检验
Pub Date : 2022-06-30 DOI: 10.5604/01.3001.0015.8669
M. Osińska, Maciej Gałecki
In our previous studies, we modified the Enders and Siklos test for threshold error correction to a version allowing the individual threshold variable to be responsible for the asymmetric mechanism of the system. The idea was to learn about the threshold mechanism both in the long and short run. In this paper, we tested for the asymmetry of the adjustment of the error correction mechanism towards the long-run path. The subsamples within regimes differ in size with respect to the threshold value. The novelty lies in the division of both short and long-run variables according to a threshold variable with a given threshold value (assumed or estimated). We named the test extended Enders and Siklos test (exE-S). The present study focuses on the power and size of the modified procedure. A simulation study was designed, computed and conducted. The results are favourable for the proposed approach, although they strongly depend on the difference in values between the adjustment parameters in the regimes.
在我们之前的研究中,我们修改了Enders和Siklos阈值误差校正测试,以允许单个阈值变量负责系统的不对称机制。我们的想法是在长期和短期内了解阈值机制。在本文中,我们检验了误差修正机制向长期路径调整的不对称性。体制内的子样本在大小上不同于阈值。新颖之处在于根据具有给定阈值(假设或估计)的阈值变量划分短期和长期变量。我们将该测试命名为扩展的Enders和Siklos测试(ex - s)。本研究的重点是改进程序的功率和大小。设计、计算并进行了仿真研究。结果对所提出的方法是有利的,尽管它们在很大程度上取决于制度中调整参数之间值的差异。
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引用次数: 1
The minimal-time growth problem and ‘very strong’ turnpike theorem 最小时间增长问题和“极强”收费公路定理
Pub Date : 2022-03-30 DOI: 10.5604/01.3001.0015.7799
E. Panek
This paper refers to the author's previous work, in which the ‘weak’ turnpike theorem in the stationary Gale economy was proved. This theorem states that each optimal growth process {y*(t)}t*1t=0 that leads the economy in the shortest possible time t*1 from the (initial) state of y0 to the set of target/postulated states Y1 almost always runs in the neighbourhood of the production turnpike, where the economy remains in a specific dynamic equilibrium (peak growth equilibrium). This paper presents a proof of the ‘very strong’ turnpike theorem in the stationary Gale economy, which states that if the optimal process (the solution to the minimaltime growth problem) reaches a turnpike in a certain period of time tˇ < t*1 - 1, then it stays on it everywhere else, except for, at most, final period t*1. The obtained result confirms the wellknown Samuelson hypothesis about the specific turnpike stability of optimal growth paths in multiproduct/multisectoral von Neumann-Leontief-Gale-type models, also in the case where the growth criterion is not the (normally assumed) utility of production but the time needed by the economy to achieve the postulated target level or volume of production.
本文引用了作者以前的工作,证明了平稳大风经济中的“弱”收费公路定理。该定理指出,每个最优增长过程{y*(t)}t*1t=0,导致经济在最短的时间内t*1从(初始)状态y0到目标/假设状态集合Y1,几乎总是在生产收费公路附近运行,在那里经济保持在特定的动态均衡(峰值增长均衡)。本文给出了平稳Gale经济中“非常强”收费公路定理的证明,该定理表明,如果最优过程(最小时间增长问题的解)在某一时段t + < t*1 - 1内到达收费公路,那么除了最后时段t*1外,它在其他任何地方都停留在收费公路上。所获得的结果证实了著名的萨缪尔森假设,即在多产品/多部门冯·诺伊曼-莱昂蒂夫-盖尔型模型中,最优增长路径的特定收费公路稳定性,在这种情况下,增长标准不是(通常假设的)生产效用,而是经济实现假设目标水平或生产量所需的时间。
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引用次数: 0
Comparison of methods used for filling partially unobserved contingency tables 用于填写部分未观察到的列联表的方法比较
Pub Date : 2022-03-30 DOI: 10.5604/01.3001.0015.7797
M. Kot, B. Kamiński
In this article, we investigate contingency tables where the entries containing small counts are unknown for data privacy reasons. We propose and test two competitive methods for estimating the unknown entries: our modification of the Iterative Proportional Fitting Procedure (IPFP), and one of the Monte Carlo Markov Chain methods called Shake-and-Bake. We use simulation experiments to test these methods in terms of time complexity and the accuracy of searching the space of feasible solutions. To simplify the estimation procedure, we propose to pre-process partially unknown contingency tables with simple heuristics and dimensionality-reduction techniques to find and fill all trivial entries. Our results demonstrate that if the number of missing cells is not very large, the pre-processing is often enough to find fillings for the unknown values in contingency tables. In the cases where simple heuristics are insufficient, the Shake-and-Bake technique outperforms the modified IPFP in terms of time complexity and the accuracy of searching the space of feasible solutions.
在本文中,我们研究列联表,其中包含小计数的条目由于数据隐私原因是未知的。我们提出并测试了两种用于估计未知条目的竞争性方法:我们对迭代比例拟合程序(IPFP)的修改,以及一种称为Shake-and-Bake的蒙特卡罗马尔可夫链方法。通过仿真实验验证了这些方法的时间复杂度和搜索可行解空间的准确性。为了简化估计过程,我们建议使用简单的启发式和降维技术对部分未知列联表进行预处理,以查找和填充所有平凡条目。我们的结果表明,如果缺失单元格的数量不是很大,预处理通常足以在列联表中找到未知值的填充。在简单启发式算法不足的情况下,Shake-and-Bake技术在时间复杂度和搜索可行解空间的准确性方面优于改进的IPFP。
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引用次数: 0
Influence of previous experience and socioeconomic characteristics on willingness to pay for physiotherapy in Poland 波兰以前的经验和社会经济特征对支付物理治疗意愿的影响
Pub Date : 2022-03-30 DOI: 10.5604/01.3001.0015.7798
Justyna Proniewicz
The healthcare system in many countries is characterised by the co-existence of public and private medical services. Patients’ decisions regarding the purchase of private health services are made taking into account the trade-off between the price of a treatment and its quality and the waiting time. The aim of this study is to find out which factors impact the willingness to pay for health insurance or the willingness to pay for medical treatment. The study demonstrates that besides socio-demographic characteristics, some negative experiences (e.g. unavailable treatments, long waiting times, long journeys involved) and the experience of already having paid for treatments impact the willingness to pay. The results suggest that negative experiences are likely to cause a change in patients’ habits.
许多国家的医疗保健系统的特点是公共和私人医疗服务并存。患者在决定是否购买私人医疗服务时,会考虑到治疗价格与质量以及等待时间之间的权衡。本研究的目的是找出哪些因素会影响健康保险或医疗支付意愿。该研究表明,除了社会人口特征外,一些负面经历(例如无法获得治疗、等待时间长、路途长)和已经支付过治疗费用的经历也会影响人们的支付意愿。研究结果表明,负面的经历可能会导致患者习惯的改变。
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引用次数: 0
A genetic algorithm for vehicle routing in logistic networks with practical constraints 具有实际约束的物流网络中车辆路径的遗传算法
Pub Date : 2021-12-30 DOI: 10.5604/01.3001.0015.5584
Grzegorz Koloch, Michał Lewandowski, Marcin Zientara, Grzegorz Grodecki, Piotr Matuszak, Igor Kantorski, Adam Nowacki
We optimise a postal delivery problem with time and capacity constraints imposed on vehicles and nodes of the logistic network. Time constraints relate to the duration of routes, whereas capacity constraints concern technical characteristics of vehicles and postal operation outlets. We consider a method which can be applied to a brownfield scenario, in which capacities of outlets can be relaxed and prospective hubs identified. As a solution, we apply a genetic algorithm and test its properties both in small case studies and in a simulated problem instance of a larger (i.e. comparable with real-world instances) size. We show that the genetic operators we employ are capable of switching between solutions based on direct origin-to-destination routes and solutions based on transfer connections, depending on what is more beneficial in a given problem instance. Moreover, the algorithm correctly identifies cases in which volumes should be shipped directly, and those in which it is optimal to use transfer connections within a single problem instance, if an instance in question requires such a selection for optimality. The algorithm is thus suitable for determining hubs and satellite locations. All considerations presented in this paper are motivated by real-life problem instances experienced by the Polish Post, the largest postal service provider in Poland, in its daily plans of delivering postal packages, letters and pallets.
我们优化的邮政配送问题,时间和能力的限制强加于车辆和物流网络的节点。时间限制涉及路线的持续时间,而能力限制涉及车辆和邮政业务网点的技术特性。我们考虑了一种可以应用于棕地场景的方法,在这种情况下,网点的容量可以放松,并确定未来的枢纽。作为解决方案,我们应用遗传算法并在小型案例研究和更大(即与现实世界实例相媲美)规模的模拟问题实例中测试其特性。我们表明,我们使用的遗传算子能够在基于直接起点到目的地路线的解决方案和基于传输连接的解决方案之间切换,这取决于在给定的问题实例中哪种更有益。此外,该算法正确地识别了应该直接运输卷的情况,以及在单个问题实例中使用传输连接是最优的情况,如果所讨论的实例需要这样的最优选择。因此,该算法适用于确定集线器和卫星的位置。本文中提出的所有考虑因素都是由波兰邮政(波兰最大的邮政服务提供商)在其每日递送邮政包裹、信件和托盘的计划中遇到的现实问题实例所激发的。
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引用次数: 0
Forecasting currency covariances using machine learning tree-based algorithms with low and high prices 使用基于机器学习树的算法预测低、高价格的货币协方差
Pub Date : 2021-12-30 DOI: 10.5604/01.3001.0015.5582
Sylwester Bejger, P. Fiszeder
We combine machine learning tree-based algorithms with the usage of low and high prices and suggest a new approach to forecasting currency covariances. We apply three algorithms: Random Forest Regression, Gradient Boosting Regression Trees and Extreme Gradient Boosting with a tree learner. We conduct an empirical evaluation of this procedure on the three most heavily traded currency pairs in the Forex market: EUR/USD, USD/JPY and GBP/USD. The forecasts of covariances formulated on the three applied algorithms are predominantly more accurate than the Dynamic Conditional Correlation model based on closing prices. The results of the analyses indicate that the GBRT algorithm is the bestperforming method.
我们将基于机器学习树的算法与低价和高价的使用结合起来,提出了一种预测货币协方差的新方法。我们应用了三种算法:随机森林回归、梯度增强回归树和带树学习器的极端梯度增强。我们对外汇市场上三个交易量最大的货币对:欧元/美元、美元/日元和英镑/美元进行了实证评估。三种应用算法对协方差的预测明显优于基于收盘价的动态条件相关模型。分析结果表明,GBRT算法是性能最好的方法。
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引用次数: 1
Estimation of Value-at-Risk using Weibull distribution – portfolio analysis on the precious metals market 用威布尔分布-组合分析估算贵金属市场的风险价值
Pub Date : 2021-10-18 DOI: 10.5604/01.3001.0015.2731
Dominik Krężołek
In this paper, we present a modification of the Weibull distribution for the Value-at- Risk (VaR) estimation of investment portfolios on the precious metals market. The reason for using the Weibull distribution is the similarity of its shape to that of empirical distributions of metals returns. These distributions are unimodal, leptokurtic and have heavy tails. A portfolio analysis is carried out based on daily log-returns of four precious metals quoted on the London Metal Exchange: gold, silver, platinum and palladium. The estimates of VaR calculated using GARCH-type models with non-classical error distributions are compared with the empirical estimates. The preliminary analysis proves that using conditional models based on the modified Weibull distribution to forecast values of VaR is fully justified.
本文提出了贵金属市场上投资组合风险价值(VaR)估计的威布尔分布的一种修正。使用威布尔分布的原因是其形状与金属收益的经验分布相似。这些分布是单峰的,细峰的,有很重的尾巴。一项投资组合分析是根据伦敦金属交易所(lme) 4种贵金属(黄金、白银、铂和钯)的日对数回报进行的。采用非经典误差分布的garch模型计算VaR的估计与经验估计进行了比较。初步分析表明,采用基于修正威布尔分布的条件模型预测VaR值是完全合理的。
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引用次数: 0
Substitution between production factors and intermediate inputs in the light of KLEMS growth accounting for Poland 波兰KLEMS增长核算中生产要素与中间投入之间的替代
Pub Date : 2021-10-18 DOI: 10.5604/01.3001.0015.2729
D. Kotlewski, Mirosław Błażej
The generally adopted view is that the gross-output-based MFP is the most correct in terms of methodology, and the value-added-based MFP is its imperfect substitute performed when some data are missing. In this paper, however, performing both of them and comparing their results is proposed as a valuable means to studying the development of outsourcing in the economy. The paper presents the elaboration of the methodology for the latter, which is its main contribution to the field. The case of the Polish economy is used as an applicative example (covering the period between 2005 and 2016), as KLEMS growth accounting has recently been implemented in Poland. The results demonstrate that around the year 2011, the expansion of outsourcing ceased. Since outsourcing was one of the main processes of the Polish transition, this observation can be considered as an indication of the maturing of the market economy in Poland. Moreover, KLEMS growth accounting makes it possible to study this issue through NACE activities, i.e. at the industry level. It shows that manufacturing (section C of NACE) is predominantly responsible for the situation described above, which is the main empirical finding of the study. The dominant role of manufacturing is also confirmed by some other sectoral observations of lesser importance. The methodology developed in this paper can potentially be applied to other countries for which both kinds of MFP are performed.
普遍采用的观点是,以总产值为基础的MFP在方法上是最正确的,而以增加值为基础的MFP是在某些数据缺失的情况下进行的不完美替代。然而,本文提出将这两种方法都付诸实践并比较其结果,作为研究外包在经济中的发展的一种有价值的手段。本文阐述了后者的方法,这是它对该领域的主要贡献。波兰经济的案例被用作一个应用示例(涵盖2005年至2016年期间),因为KLEMS增长会计最近在波兰实施。结果表明,2011年前后,外包的扩张停止。由于外包是波兰转型的主要过程之一,这一观察结果可以被认为是波兰市场经济成熟的迹象。此外,KLEMS增长会计使得通过NACE活动(即在行业层面)研究这一问题成为可能。这表明制造业(NACE的C部分)对上述情况负有主要责任,这是本研究的主要实证发现。制造业的主导作用也得到了其他一些不那么重要的行业观察结果的证实。本文制定的方法有可能适用于实施这两种MFP的其他国家。
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引用次数: 0
How the shadow economy can be detected in National Accounts 如何在国民经济核算中发现影子经济
Pub Date : 2021-10-18 DOI: 10.5604/01.3001.0015.2730
S. Oinonen, M. Virén
The paper examines how indicators of the shadow economy correspond to the National Accounts values. More precisely, we focus on household accounts assuming that the shadow economy should be visible in the difference between household income and consumption, as household (disposable) income is grossly underreported. Household consumption seems therefore to be a more accurate indicator in this context, as most shadow economy income is eventually spent on consumption. This implies that household savings figures should be negatively related to the values of the shadow economy; consequently, if the values relating to the shadow economy are high, savings should be low, or even negative, and vice versa. We verify this hypothesis using European cross-country data covering the years 1991–2017 with the application of MIMIC model calculations as a point of reference. The estimation results lend very little support to the hypothesis assuming that the shadow economy depresses household savings, even though we can otherwise explain comparatively well the cross-country variation in household savings and consumption growth rates.
本文考察了影子经济指标与国民经济核算值的对应关系。更准确地说,我们关注家庭账户,假设影子经济应该在家庭收入和消费之间的差异中可见,因为家庭(可支配)收入被严重低估。因此,在这种情况下,家庭消费似乎是一个更准确的指标,因为大多数影子经济收入最终都花在了消费上。这意味着家庭储蓄数字应该与影子经济的价值呈负相关;因此,如果与影子经济相关的价值很高,储蓄就应该很低,甚至是负的,反之亦然。我们使用涵盖1991-2017年的欧洲跨国数据验证了这一假设,并应用MIMIC模型计算作为参考点。尽管我们可以相对较好地解释家庭储蓄和消费增长率的跨国差异,但估计结果很少支持“影子经济抑制家庭储蓄”的假设。
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