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Consensus and Disagreement: Information Aggregation under (not so) Naive Learning 共识与分歧:(并非如此)朴素学习下的信息聚合
Pub Date : 2023-11-14 DOI: arxiv-2311.08256
Abhijit Banerjee, Olivier Compte
We explore a model of non-Bayesian information aggregation in networks.Agents non-cooperatively choose among Friedkin-Johnsen type aggregation rulesto maximize payoffs. The DeGroot rule is chosen in equilibrium if and only ifthere is noiseless information transmission, leading to consensus. With noisytransmission, while some disagreement is inevitable, the optimal choice of ruleamplifies the disagreement: even with little noise, individuals placesubstantial weight on their own initial opinion in every period, exacerbatingthe disagreement. We use this framework to think about equilibrium versussocially efficient choice of rules and its connection to polarization ofopinions across groups.
我们探索了网络中非贝叶斯信息聚合模型。代理非合作地选择弗莱德金-约翰森型聚合规则以最大化收益。当且仅当存在无噪声信息传输时,在均衡状态下选择DeGroot规则,从而导致共识。在噪音传播中,虽然一些分歧是不可避免的,但规则的最佳选择放大了分歧:即使噪音很小,每个人在每个时期都非常重视自己的初始意见,从而加剧了分歧。我们用这个框架来思考平衡与社会有效的规则选择,以及它与群体间意见两极分化的关系。
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引用次数: 0
Assessing the potential impact of environmental land management schemes on emergent infection disease risks 评估环境土地管理方案对突发传染病风险的潜在影响
Pub Date : 2023-11-13 DOI: arxiv-2311.07735
Christopher J. Banks, Katherine Simpson, Nicholas Hanley, Rowland R. Kao
Financial incentives are provided by governments to encourage the plantationof new woodland to increase habitat, biodiversity, carbon sequestration, andother economic benefits for landowners. Whilst these are largely positiveeffects, it is worth considering that greater biodiversity and presence ofwildlife species in proximity to agricultural holdings may pose a risk ofdisease transmission between wildlife and livestock. Wildlife transmission andthe provision of a reservoir for infectious disease is particularly importantin the transmission dynamics of bovine tuberculosis. In this paper we develop an economic model for changing land use due toforestry subsidies. We use this asses the impact on wild deer populations inthe newly created woodland areas and the emergent infectious disease riskarising from the proximity of new and existing wild deer populations andexisting cattle holdings. We consider an area in the South-West of Scotland, having existing woodland,deer populations, and extensive and diverse cattle farm holdings. In this areawe find that, with a varying level of subsidy and plausible new woodlandcreation, the contact risk between areas of wild deer and cattle increasesbetween 26% and 35% over the contact risk present with zero subsidy. This model provides a foundation for extending to larger regions and forexamining potential risk mitigation strategies, for example the targeting ofsubsidy in low risk areas or provisioning for buffer zones between woodland andagricultural holdings.
政府提供财政激励措施,鼓励种植新的林地,以增加栖息地、生物多样性、碳封存和土地所有者的其他经济利益。虽然这些在很大程度上是积极的影响,但值得考虑的是,更大的生物多样性和靠近农业农场的野生动物物种的存在可能会造成野生动物和牲畜之间疾病传播的风险。在牛结核病的传播动力学中,野生动物传播和传染病储存库的提供尤其重要。在本文中,我们开发了一个由于林业补贴而改变土地利用的经济模型。我们利用这一方法评估了在新创建的林地中对野鹿种群的影响,以及在新的和现有的野鹿种群和现有的养牛群附近出现的新传染病风险。我们考虑了苏格兰西南部的一个地区,拥有现有的林地、鹿群和广泛而多样的养牛场。在这一地区,我们发现,随着不同程度的补贴和貌似合理的新林地的创造,野鹿和野牛地区之间的接触风险比没有补贴时增加了26%到35%。这一模式为推广到更大的地区和审查潜在的风险缓解战略提供了基础,例如,在低风险地区确定补贴目标,或在林地和农业之间提供缓冲区。
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引用次数: 0
The Impact of Generative Artificial Intelligence 生成式人工智能的影响
Pub Date : 2023-11-13 DOI: arxiv-2311.07071
Kaichen Zhang, Ohchan Kwon, Hui Xiong
The rise of generative artificial intelligence (AI) has sparked concernsabout its potential influence on unemployment and market depression. This studyaddresses this concern by examining the impact of generative AI on productmarkets. To overcome the challenge of causal inference, given the inherentlimitations of conducting controlled experiments, this paper identifies anunanticipated and sudden leak of a highly proficient image-generative AI as anovel instance of a "natural experiment". This AI leak spread rapidly,significantly reducing the cost of generating anime-style images compared toother styles, creating an opportunity for comparative assessment. We collectreal-world data from an artwork outsourcing platform. Surprisingly, our resultsshow that while generative AI lowers average prices, it substantially boostsorder volume and overall revenue. This counterintuitive finding suggests thatgenerative AI confers benefits upon artists rather than detriments. The studyfurther offers theoretical economic explanations to elucidate this unexpectedphenomenon. By furnishing empirical evidence, this paper dispels the notionthat generative AI might engender depression, instead underscoring itspotential to foster market prosperity. These findings carry significantimplications for practitioners, policymakers, and the broader AI community.
生成式人工智能(AI)的兴起引发了人们对其对失业和市场萧条的潜在影响的担忧。本研究通过研究生成式人工智能对产品市场的影响来解决这一问题。为了克服因果推理的挑战,考虑到进行受控实验的固有局限性,本文将高度精通的图像生成人工智能的意外和突然泄漏确定为“自然实验”的新实例。这种人工智能泄漏传播迅速,与其他风格相比,大大降低了生成动画风格图像的成本,为比较评估创造了机会。我们从一个艺术品外包平台收集真实世界的数据。令人惊讶的是,我们的结果显示,虽然生成式人工智能降低了平均价格,但它大大提高了订单量和总收入。这一违反直觉的发现表明,生成式人工智能给艺术家带来了好处,而不是坏处。本研究进一步为解释这一意外现象提供了理论经济学解释。通过提供经验证据,本文消除了生成式人工智能可能导致萧条的观点,而是强调了其促进市场繁荣的潜力。这些发现对从业者、政策制定者和更广泛的人工智能社区具有重要意义。
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引用次数: 0
Aggregation and Closed-Form Results for Nonhomothetic CES Preferences 非同质CES偏好的聚合和封闭形式结果
Pub Date : 2023-11-12 DOI: arxiv-2311.06740
Clement E. Bohr, Martí Mestieri, Emre Enes Yavuz
We provide four novel results for nonhomothetic Constant Elasticity ofSubstitution preferences (Hanoch, 1975). First, we derive a closed-formrepresentation of the expenditure function of nonhomothetic CES underrelatively flexible distributional assumptions of demand and price distributionparameters. Second, we characterize aggregate demand from heterogeneoushouseholds in closed-form, assuming that household total expenditures follow anempirically plausible distribution. Third, we leverage these results to studythe Euler equation arising from standard intertemporal consumption-savingproblems featuring within-period nonhomothetic CES preferences. Finally, weshow that nonhomothetic CES expenditure shares arise as the solution of adiscrete-choice logit problem.
我们为替代偏好的非同构不变弹性提供了四个新的结果(Hanoch, 1975)。首先,在需求和价格分布参数的相对灵活的分布假设下,我们推导了非齐次消费消费的支出函数的封闭形式表示。其次,我们以封闭形式描述了异质家庭的总需求,假设家庭总支出遵循一个经验上合理的分布。第三,我们利用这些结果来研究具有周期内非同构消费偏好的标准跨期消费节约问题所产生的欧拉方程。最后,证明非齐次消费消费支出份额会随着离散选择逻辑问题的解决而产生。
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引用次数: 0
Optimal taxation and the Domar-Musgrave effect 最优税收和多玛-马斯格雷夫效应
Pub Date : 2023-11-10 DOI: arxiv-2311.05822
Brendan K. Beare, Alexis Akira Toda
This article concerns the optimal choice of flat taxes on labor and capitalincome, and on consumption, in a tractable economic model. Agents manage aportfolio of bonds and physical capital while subject to idiosyncraticinvestment risk and random mortality. We identify the tax rates which maximizewelfare in stationary equilibrium while preserving tax revenue, finding that avery large increase in welfare can be achieved by only taxing capital incomeand consumption. The optimal rate of capital income taxation is zero if thenatural borrowing constraint is strictly binding on entrepreneurs, but mayotherwise be positive and potentially large. The Domar-Musgrave effect, wherebycapital income taxation with full offset provisions encourages risky investmentthrough loss sharing, explains cases where it is optimal to tax capital income.In further analysis we study the dynamic response to the substitution ofconsumption taxation for labor income taxation. We find that consumptionimmediately drops before rising rapidly to the new stationary equilibrium,which is higher on average than initial consumption for workers but lower forentrepreneurs.
本文讨论了在一个可处理的经济模型中,对劳动收入、资本收入和消费实行统一税的最优选择。代理人管理债券和实物资本的组合,同时受到特殊投资风险和随机死亡的影响。我们确定了在保持税收收入的同时使平稳均衡下的福利最大化的税率,发现仅通过对资本收入和消费征税就可以实现福利的大幅增加。如果自然借贷约束对企业家具有严格的约束力,则资本所得税的最优税率为零,但在其他情况下,资本所得税税率可能是正的,而且可能很大。多玛-马斯格雷夫效应(Domar-Musgrave effect)解释了在哪些情况下对资本收入征税是最优的,即资本所得税与全部抵消条款通过损失分担鼓励风险投资。在进一步的分析中,我们研究了以消费税代替劳动所得税的动态反应。我们发现,在迅速上升到新的平稳均衡之前,消费立即下降,平均而言,工人的消费高于初始消费,但企业家的消费低于初始消费。
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引用次数: 0
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