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Science Under Siege: How to Fight the Five Most Powerful Forces That Threaten Our World by Michael E. Mann and Peter J. Hotez. PublicAffairs, 2025, 368 pp., $32 (hardcover). 《被围困的科学:如何对抗威胁我们世界的五种最强大的力量》作者:迈克尔·e·曼和彼得·j·霍特兹。《公共事务》,2025,368页,32美元(精装版)。
IF 2.4 3区 管理学 Q2 ECONOMICS Pub Date : 2025-08-18 DOI: 10.1002/pam.70047
Hong Hui Choi
<p>The recent attacks on science by the Trump administration have wreaked havoc and possibly done irreparable damage to scientific institutions across the U.S. In the span of a few short months, many institutions have been decimated by the termination of billions of dollars of federal funding for research, leading to job losses, faculty hiring and graduate student recruitment freezes, and even laboratory and department closures. The situation is rapidly escalating and expanding beyond grant cancellations and budget cuts. While it remains to be seen just how far the Trump administration is willing to go to damage scientific institutions to further political objectives, it is clear that the social compact between the government and scientists is undergoing fundamental change. Since the Second World War, U.S. funding for science has been premised on a model of science outlined in Vannevar Bush's 1945 report, <i>Science: The Endless Frontier</i>, in which he made a forceful argument for the need for federal funding of basic scientific research. Coming on the heels of a war during which scientific research greatly aided the war effort, Bush's argument was compelling, and his report eventually led to the establishment of the National Science Foundation (NSF) in 1950. Aside from arguing for government funding for science, Bush (<span>2023</span>) also emphasized that it “is of utmost importance” that the federal funding bodies “leave the internal control of policy, personnel, and the method and scope of the research to the institutions themselves” (p. 35). This model of science, where the government provides funding and allows scientists significant research autonomy, went on to guide policy for decades. To be sure, Bush's argument for the importance of funding basic research was already challenged in the 1960s when doubts began to surface about whether basic science was efficiently translating to practical payoffs (Sherwin & Isenson, <span>1967</span>). Economic pressures in the 1960s and 1970s eventually led to new policies like the Bayh-Dole Act, which shifted the emphasis towards academia–industry partnerships and applied research that were believed to be more efficient at generating products and jobs for the economy compared to pure basic research (Johnson, <span>2004</span>). But despite this shift, the dollars continued to flow towards science and scientists still enjoyed great latitude in research. Today, we are seeing a rapid erosion of these long-standing principles. No longer is the government so ready to dole out dollars in support of science, and scientists are now kept on a much tighter leash than before.</p><p>How did we get here? How can we resist these attacks on science? Answering these questions require understanding the forces acting against science. In this regard, Michael E. Mann and Peter Hotez's book, titled <i>Science Under Siege: How to Fight the Five Most Powerful Forces That Threaten Our World</i>, could not have come at
特朗普政府最近对科学的攻击造成了严重破坏,可能对美国各地的科学机构造成了无法弥补的损害。在短短几个月的时间里,许多机构因数十亿美元的联邦研究资金终止而遭受重创,导致失业,教职员工招聘和研究生招聘冻结,甚至实验室和部门关闭。这种情况正在迅速升级,超出了取消拨款和削减预算的范围。尽管特朗普政府愿意在多大程度上损害科学机构以实现进一步的政治目标还有待观察,但很明显,政府和科学家之间的社会契约正在发生根本性的变化。自第二次世界大战以来,美国对科学的资助一直是以Vannevar Bush在1945年的报告《科学:无尽的前沿》中概述的科学模式为前提的。在这份报告中,他有力地论证了联邦政府资助基础科学研究的必要性。在一场战争之后,科学研究极大地帮助了战争的努力,布什的论点是令人信服的,他的报告最终导致了1950年国家科学基金会(NSF)的成立。除了主张政府资助科学之外,布什(2023)还强调,联邦资助机构“将政策、人员、研究方法和范围的内部控制交给机构本身”是“至关重要的”(第35页)。这种由政府提供资金并赋予科学家重大研究自主权的科学模式,几十年来一直指导着政策。可以肯定的是,布什关于资助基础研究的重要性的论点在20世纪60年代已经受到了挑战,当时人们开始怀疑基础科学是否能有效地转化为实际回报(Sherwin & Isenson, 1967)。20世纪60年代和70年代的经济压力最终导致了像Bayh-Dole法案这样的新政策,该法案将重点转向了学术界与工业界的合作伙伴关系和应用研究,与纯粹的基础研究相比,这些研究被认为在为经济创造产品和就业机会方面更有效(Johnson, 2004)。但是,尽管发生了这种转变,资金继续流向科学,科学家们在研究方面仍然享有很大的自由度。今天,我们看到这些长期存在的原则正在迅速受到侵蚀。政府不再那么乐意为科学提供资金支持,科学家现在也比以前受到了更严格的约束。我们是怎么走到这一步的?我们如何抵制这些对科学的攻击?回答这些问题需要理解与科学背道而驰的力量。在这方面,迈克尔·e·曼恩和彼得·霍特兹的新书《围攻下的科学:如何对抗威胁我们世界的五种最强大的力量》问世的时机再好不过了。在这本书中,读者可以看到对反科学势力的近史的详细分析和捍卫科学的冷静计划。这本书以清晰的文笔写成,没有太多的专业术语,这将吸引各种各样的读者。对于那些关心对科学发起的协同攻击并希望捍卫这一宝贵机构的人来说,这本书是必不可少的读物。曼恩和霍特兹的书关注了目前困扰人类的三种生存威胁——他们称之为“1-2-3重击”——即气候变化、流行病和反科学。这本书包含了大量关于气候变化和流行病的例子,毫无疑问,这些例子来自曼恩和霍特兹各自在气候学和疫苗学方面的背景。两位作者在过去撰写了大量关于气候变化和流行病的文章,但熟悉他们作品的读者可能会在这本书对反科学的详细分析中发现新颖的内容。这本书共有七章。第一章通过介绍激励本书的三种存在主义威胁奠定了基础。它快速而有效地向读者介绍了当前的气候危机和流行病的威胁,尤其是最近的COVID-19大流行。更重要的是,本章解释了反科学力量如何阻碍抗击气候危机和流行病的努力,从而使其本身成为一种生存威胁。第2章到第6章专门讨论五种反科学力量:财阀、石油国家、专业人士、宣传家和新闻界。有一章专门介绍每一种力量。在每一章中,作者都提供了大量的例子,包括个人经历,来说明这些势力几十年来是如何密谋和协调他们对科学的攻击的。最后一章列出了作者抵制反科学的计划。该提案是一个三方面的计划:建设性的沟通、打击虚假信息和支持科学家。 该计划的每个分支都针对反科学构成的三个直接威胁——作者称之为“三重威胁”——包括隐形科学家、缺失的科学新闻和表现中立。这本书出版时,对科学的攻击已经达到了前所未有的程度。尽管如此,作者还是以令人信服的、全面的细节表明,目前对科学的攻击并不新鲜;他们很好地解释了五种反科学力量如何相互协调以实现他们的反科学议程。这本书的一个关键优势在于其丰富的例子,这些例子说明了每种力量在整个反科学战略中所扮演的精确角色。通常,这些例子都来自作者自己的个人经历。例如,曼恩讲述了“气候门”之后他受到的骚扰和威胁。同样,在2019冠状病毒病大流行期间,霍特兹也经历了惨痛的经历。这些第一手的个人叙述生动地说明了反科学势力的肮脏,以及像曼恩和霍特兹这样拒绝被恐吓或沉默的科学家的勇敢。这本书的其他一些优点包括它没有专业术语,简单的写作风格和偶尔的幽默,所有这些都将使它能够被广泛的读者所接受。普通读者将从速成班中受益,了解不广为人知的科学方面,比如它的资金,而已经大致熟悉科学的科学家和读者也可能学到一两件关于反科学力量如何相互协调的事情。尽管与反科学是什么(五章)相比,作者对如何与反科学作斗争的论述相对较少(一章),但这本书还是列出了一个总体的三方面计划,其中包含了一些关键的见解,比如拒绝通过辩论来使恶意的批评者合法化,这是科学捍卫者(包括作者自己)从数十年与反科学作斗争中收集到的。最重要的是,这本书是一个有效的战斗口号,呼吁那些珍惜我们的科学机构和它所带来的一切好处的人开始反击反科学。值得注意的一个缺点是,书中呈现的简单叙述是以解释“反科学”的确切本质的一些细微差别为代价的。作为一名科学哲学的学生,当我看到对反科学或伪科学的指控时,我脑海中的警钟就会立即响起。毕竟,科学哲学家们一致认为,区分科学与非科学的伟大任务已经失败了(例如,劳丹,1983)。作者在书中没有明确定义科学或反科学,但两种解释是很自然的。首先,作者所说的反科学可能意味着对科学的非科学攻击。或者,它们可能意味着对现有科学的科学攻击。也就是说,书中确定的五种力量本身必须使用科学或非科学的手段来策划他们的攻击。但是,如果确实没有区分科学与非科学的好方法,我们怎么能确定这一点呢?即使没有精确的划分标准,五种力量中有四种在非科学意义上是反科学的,这是足够清楚的。毕竟,富豪、石油国家、宣传家和媒体都缺乏科学资质;他们通常也不会声称自己在进行科学研究。但对于专业人士来说,情况就不一样了。专业人士包括有资历的科学家,其中一些人在高等教育部门担任高级职务,大多数人从事的是看起来像是科学研究的工作。有时,作者似乎在暗示,专业人士的研究是不科学的,因为他们要么接受特殊利益集团的资助,要么受到认知偏见的困扰,比如动机推理。虽然由行业资助引起的利益冲突是一个合理的担忧,但除非我们希望声称在美国进行的大多数研发都是非科学的,否则这不足以证明研究是非科学的,因为美国的大部分研发都是由行业资助的(Moris & Rhodes, 2024)。偏见的存在显然也不够充分,因为没有一个科学家——事实上,没有一个人——能对偏见免疫。因此,专业人士在第二种意义上更有可能是反科学的:他们的攻击是针对现有科学的,即科学家中的多数意见,但这些攻击仍然是科学的。需要明确的是,说专业人士对科学的攻击是科学的,并不是说他们的研究是值得信赖的。为避免疑义,我坚定地认为气候变化是真实存在的,疫苗总体上是安全有效的。 我之所以相信气候学和疫苗学的建制科学,是因为它们已经展示了值得信赖的科学的特点,包括可复制性和透明度但这些特征并不总是出现在其他科学研究领域。在许多研究领域,一开始
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Why debt matters 为什么债务很重要
IF 2.4 3区 管理学 Q2 ECONOMICS Pub Date : 2025-08-18 DOI: 10.1002/pam.70040
Kent Smetters
<p>Your retirement portfolio likely holds some bonds. In the hypothetical absence of federal government debt, those bonds would be corporate debt invested in capital ventures that yield future returns. You receive a return because an actual capital investment is made into the economy. That investment increases capital per worker and wages while lowering borrowing costs for a home mortgage.</p><p>In reality, of course, 40% of your bond allocation likely holds various denominations of U.S. government debt. Naturally, those assets represent actual savings from <i>your</i> perspective. However, most government debt is used for spending programs or tax cuts that benefit current and past generations, rather than investing in long-term public assets like early childhood education or infrastructure. You earn a return simply because the U.S. Treasury must offer it to compete with alternative investments. So, most government debt redirects savings from actual investments for the future to support past and current consumption. Government debt “crowds out” private investment.</p><p>But crowding out is just one problem. As debt grows, as it is projected to do for the United States, bond markets eventually lose faith in the ability of the government to make full payments in real terms. Such “bank runs” are infrequent but violent. They are fully rational and so they cannot be educated away or mitigated with financial regulation. Debt crises have brought down superpowers.</p><p>It is tempting to immediately inquire about the exact empirical evidence—How much does debt crowd out private investment? What is the nation's fiscal capacity before a bank run emerges?—but it would make little sense without having a solid model for interpretation.</p><p>Unfortunately, serious modeling of government debt on the economy is largely absent inside DC policy circles.1 But the tools have existed for a long time and are widely used in academics. Paul Samuelson (<span>1958</span>) and Peter Diamond (<span>1965</span>) introduced the lifecycle overlapping-generations (OLG) model that accommodates a wide range of government policies. The OLG model requires being explicit instead of using heavy discretion to map from policy to non-OLG model input. Welfare analysis is also rigorous.</p><p>Both “crowding out” and “bank runs” (fiscal limits) naturally emerge. OLG is the workhorse model of modern public finance and macroeconomics, so much so, that the top five general interest journals in economics expect papers to use this framework when analyzing the impact of fiscal policy on macroeconomic variables. OLG is as basic as the standard laws of thermodynamics in physics; debates happen only around the edges. But OLG has an “entry fee” due to the cost of learning public finance and computational methods. The richer the OLG model, the higher these costs. So, instead, DC policy circles largely use the simpler “neoclassical growth” model developed by Ramsey (<span>1928</span>), even for longe
你的退休投资组合可能会持有一些债券。在假设没有联邦政府债务的情况下,这些债券将是投资于未来能产生回报的资本风险投资的公司债券。你得到回报是因为你对经济进行了实际的资本投资。这种投资增加了每个工人的资本和工资,同时降低了住房抵押贷款的借贷成本。当然,在现实中,你的债券配置中有40%可能持有不同面额的美国国债。当然,从您的角度来看,这些资产代表了实际的节省。然而,大多数政府债务被用于有利于当代人和过去几代人的支出项目或减税,而不是投资于早期儿童教育或基础设施等长期公共资产。你获得回报只是因为美国财政部必须提供它来与其他投资竞争。因此,大多数政府债务将储蓄从未来的实际投资转向支持过去和当前的消费。政府债务“排挤”了私人投资。但挤出只是问题之一。随着债务的增长,就像美国预计会发生的那样,债券市场最终会对政府按实际价值全额偿还债务的能力失去信心。这样的“银行挤兑”并不常见,但很暴力。它们是完全理性的,因此不可能通过教育消除它们,也不可能通过金融监管来减轻它们。债务危机拖垮了超级大国。人们很容易立即询问确切的经验证据——债务在多大程度上排挤了私人投资?在银行挤兑出现之前,这个国家的财政能力是什么?但如果没有一个可靠的解释模型,它就没有什么意义。不幸的是,在华盛顿的政策圈里,政府债务对经济的影响在很大程度上是没有模型的但这些工具已经存在了很长时间,并在学术界得到了广泛的应用。保罗·萨缪尔森(1958)和彼得·戴蒙德(1965)提出了生命周期重叠代(OLG)模型,该模型适用于广泛的政府政策。OLG模型需要显式的,而不是使用大量的自由裁量权从策略映射到非OLG模型输入。福利分析也很严谨。“挤出”和“银行挤兑”(财政限制)自然会出现。OLG是现代公共财政和宏观经济学的主要模型,以至于五大经济学期刊都希望论文在分析财政政策对宏观经济变量的影响时使用这一框架。OLG与物理学中的标准热力学定律一样基本;争论只发生在边缘。但由于学习公共财政和计算方法的成本,OLG需要支付“入场费”。OLG模型越丰富,这些成本就越高。因此,华盛顿政策圈在很大程度上使用拉姆齐(Ramsey, 1928)提出的更简单的“新古典增长”模型,即便是长期预测也是如此。这是一个错误,可能会造成可怕的后果。拉姆齐(1928)提出的“新古典增长”模型假设,整个经济可以用一个无限生活的家庭来表示。这个Übermensch决定了如何在她现在和未来的自己之间分配消费。因此,任何资源的转移,包括债务,都是由侵入性的外部政府在这些自我之间进行的,只是被Übermensch所取消,这是一种被称为李嘉图等价的属性。因此,债务对任何事物都没有影响:对消费、资本、工资、利率,对任何事物都没有影响。除了缺乏债务渠道之外,拉姆齐模型也不能用于模拟大多数支出计划或累进税。但新古典增长模型有一个优势:它很容易解决。国会预算办公室(CBO)的CBOLT模型(CBO, 2025a)通过在资本和联邦债务之间加入额外的简化规则(即特设规则)来增强拉姆齐模型,其中赤字每增加1美元,资本减少0.33美元。国会预算办公室成立于1974年,提供有关预算和经济问题的公正信息,而不是进行成本效益分析或作为国家未来长期金融危机的指标。国会预算办公室和税务联合委员会(Joint Committee on Taxation,简称JCT)汇集了一些全国顶尖的预算分析专家。然而,CBO和JCT都没有被授权对不断增长的联邦债务的长期金融影响进行彻底的建模。如果他们是,这种分析可能会主导他们立法职能的几乎所有其他方面。国会预算办公室在制度上厌恶风险,在长期预测中具有适应性。因此,他们不太可能看到摆在他们面前的危机。事实上,国会预算办公室并不一定认为CBOLT或其相关的内部模型是捕捉债务动态的主要手段。对于短期估计,国会预算办公室采用了一种预测模型。 更多的债务会减缓私人资本的形成。但债务最终只是展期。未来的利息支付被允许超过阈值,超过这个阈值,债券持有人就不应该对实际(经通胀调整后的)全额偿还抱有任何合理的期望。总之,没有结束。由于缺乏家庭、投资者和企业的优化和价格相互作用,将现实封闭性插入简化形式模型是具有挑战性的。利用国会预算办公室的CBOLT模型的结果,埃德尔伯格和他的同事(2025)估计,到2054年,为了将此后的债务稳定在GDP的166%,必须增加税收或削减支出(或两者兼有)3%。8当然,如果在优化模型中进行,关闭所需的增税或削减支出将会增加:当未来实施关闭时,前瞻性市场会提前转移消费,以减少关闭后的税收;这种转变进一步减少了资本积累。如上所述,国会预算办公室的假设似乎普遍乐观。Gokhale和Smetters(2024)估计,目前的财政失衡相当于所有未来GDP现值的6.6%,这是未来收入的现值等于公众持有的当前债务水平加上未来支出的现值所需的最小资源。与CBO相比,PWBM的主要差异大多在10年预算窗口之外,PWBM的自下而上(微观模拟)方法——用于估计婚姻/离婚、教育程度、教育生育率、技能群体劳动力参与率以及其他60多个因素——在未来几年的技能调整劳动力供给增长率通常低于CBO。政府问责局(2024)也没有国会预算办公室乐观。GAO估计,在标准假设下,到2054年,债务与gdp之比将达到229%,如果加权资产借款利率上升1%,债务与gdp之比将增至275%,如果借款利率低于标准假设,债务与gdp之比将下降1%,债务与gdp之比将增至192% (GAO, 2024)。请注意,这一损失是与2054年的延长基准进行比较的,国会预算办公室预计2054年的债务与gdp之比为155%。更重要的是,国会预算办公室的评估不包括关门所需的增税或减支;如果他们这样做了,这些损失将会大得多最重要的是,在实际优化的综合模型中,即使使用现实的税收工具,关闭也是极不可能的。至少,我们是否愿意将国家未来的繁荣押注于33%的固定资本抵销率——尽管存在相关的估计问题和缺乏理论基础——是正确的?如果是这样,那么气候变化怀疑论者认为二氧化碳危害功能的不确定性是淡化二氧化碳作用的正当理由,这难道不是正确的吗?在过去的一个世纪里,几乎所有的债务危机都没有完全以债券收益率的平稳上升为特征。债券市场通常会迅速崩溃。就连美国(大到不能倒?)也在2025年4月2日解放日之后尝到了一点甜头。美元下跌,资本出逃,30年期国债收益率攀升至近5%,尽管市场在一定程度上反映了政府虚张声势的可能性。如果没有暂停征收关税,市场可能会下跌得更多,因为人们对关税将持续下去的预期更加坚定。事实上,经济理论预测债券市场将缺乏平稳性。Cole和Kehoe(2000)的OLG模型已经成为理解债务宏观动态证据的基础。出现了两种(或更多)均衡:一种是政府偿还(关闭),另一种是自我实现的投资者信念导致价格螺旋上升,政府不偿还(不关闭)。重点是:债务与利率之间的平滑(连续)非线性动态只存在于具有封闭性的均衡中。当市场从一种普遍的“结束”均衡信念转向一种普遍的“不结束”均衡信念时,就会出现债券价格的突然急剧下跌和随之而来的利率跃升。这一结果是由理性的、有远见的行动者推动的。PWBM(2023)计算出“XX日期”——金融市场可以理性地相信它们将得到偿还的外部界限——大约是20年。
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引用次数: 0
Evaluating the likelihood of a U.S. debt crisis 评估美国债务危机的可能性
IF 2.4 3区 管理学 Q2 ECONOMICS Pub Date : 2025-08-18 DOI: 10.1002/pam.70035

On July 4th, 2025, just weeks before we finalized this issue of Point/Counterpoint, President Trump signed the One Big Beautiful Bill into law. While estimates vary, most suggest provisions will result in more than a $3 trillion increase in the national debt. Aside from general concerns about shifting costs to future generations, some analysts worry about rising risks of a debt crisis—the potential for a loss of faith regarding the U.S. government's commitment to repayment abruptly destabilizing markets.

Louise Sheiner's and Kent Smetters's essays in this issue provide a very timely assessment of debt levels and associated risks. Their exchange provides a window into the policy and technical judgments that inform alternative estimates of the likely trajectory of U.S. national debt and its consequences. Sheiner's relative optimism rests not only on relatively lower debt levels estimated by, e.g., the Congressional Budget Office, but also on expectations regarding the time and capacity for policymakers to make adjustments to avoid a debt crisis. Smetters argues that higher estimates derived from alternative models are superior, and demonstrate that a debt crisis is a greater, and more imminent, threat. Their exchange highlights the complexity of the technical estimation issues—both the models used, and their specifications—as well as judgments regarding the broader context in which the resulting estimates must be evaluated.

2025年7月4日,就在我们敲定本期《点/对位》的前几周,特朗普总统签署了《一个大美丽法案》,使之成为法律。虽然估计各不相同,但大多数人认为,这些条款将导致国家债务增加3万亿美元以上。除了普遍担心将成本转嫁给子孙后代之外,一些分析师还担心债务危机的风险不断上升,即人们可能对美国政府的还款承诺失去信心,从而突然破坏市场的稳定。路易丝·谢纳和肯特·斯迈特斯在本期的文章对债务水平和相关风险进行了非常及时的评估。他们的交流为政策和技术判断提供了一个窗口,这些判断为对美国国债可能的轨迹及其后果的不同估计提供了依据。谢纳的相对乐观不仅基于国会预算办公室(Congressional Budget Office)等机构估计的相对较低的债务水平,还基于对决策者做出调整以避免债务危机的时间和能力的预期。斯迈特斯认为,从其他模型中得出的更高的估计是优越的,并证明债务危机是一个更大、更紧迫的威胁。它们的交换突出了技术评估问题的复杂性——使用的模型和它们的规范——以及关于必须评估结果评估的更广泛背景的判断。
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引用次数: 0
IF 2.4 3区 管理学 Q2 ECONOMICS Pub Date : 2025-08-18 DOI: 10.1002/pam.70036
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引用次数: 0
Why I am less worried about the debt than Kent Smetters is 为什么我不像肯特·斯迈特斯那样担心债务
IF 2.4 3区 管理学 Q2 ECONOMICS Pub Date : 2025-08-18 DOI: 10.1002/pam.70042
Louise Sheiner
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引用次数: 0
The intersection of prenatal substance exposure and child protection: Evidence from Pennsylvania 产前物质暴露与儿童保护的交叉:来自宾夕法尼亚州的证据
IF 2.4 3区 管理学 Q2 ECONOMICS Pub Date : 2025-08-18 DOI: 10.1002/pam.70049
Sarah Font, Christian M. Connell, Ezra G. Goldstein, Dylan Jones

Current U.S. law mandates notification of substance-affected infants to state child welfare systems (CWS) for the purpose of assessment and service connections. Yet, CWS appears to identify a small share of substance-affected infants at birth, potentially reflecting inconsistent diagnosis of prenatal substance exposure (PSE) and emerging efforts to limit toxicology testing. This study uses linked maternal and child administrative records (2015 to 2021) for Pennsylvania Medicaid-covered births with CWS cases by age 3 (N = 31,913) to investigate PSE prevalence. Using indicators from CWS records and both child and maternal Medicaid claims, we estimate that 45% of children involved with CWS by age 3 experienced PSE, as well as 59% of children entering foster care. Nearly half of these children were not involved with CWS at birth and a majority did not receive a medical diagnosis of PSE. Yet, extrapolated estimates suggest that 70% of Medicaid-covered children with a PSE indicator will experience a CWS case by age 3. Absent high uptake of robust supportive interventions from other systems or agencies, avoiding notification of PSE at birth may not reduce long-term involvement with CWS among children with PSE.

现行的美国法律规定,为了评估和服务联系的目的,必须向州儿童福利系统(CWS)通报受物质影响的婴儿。然而,CWS似乎在出生时识别出一小部分受物质影响的婴儿,这可能反映出产前物质暴露(PSE)的诊断不一致,以及限制毒理学测试的新努力。本研究使用宾夕法尼亚州医疗补助覆盖的3岁CWS新生儿(N = 31913)的相关母婴行政记录(2015年至2021年)来调查PSE的患病率。使用来自CWS记录和儿童和母亲医疗补助索赔的指标,我们估计45%的3岁前患有CWS的儿童经历过PSE, 59%的儿童进入寄养。这些儿童中有近一半在出生时没有CWS,大多数没有接受PSE的医学诊断。然而,外推的估计表明,70%的有PSE指标的医疗补助覆盖的儿童将在3岁时经历CWS病例。如果没有从其他系统或机构获得强有力的支持性干预措施,避免在出生时通知PSE可能不会减少PSE患儿长期参与CWS。
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引用次数: 0
IF 2.4 3区 管理学 Q2 ECONOMICS Pub Date : 2025-08-18 DOI: 10.1002/pam.70046
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引用次数: 0
Regulating malpractice risk and medical decision-making: Evidence from births 监管医疗事故风险和医疗决策:来自出生的证据
IF 2.4 3区 管理学 Q2 ECONOMICS Pub Date : 2025-08-18 DOI: 10.1002/pam.70044
Alice J. Chen, Michael R. Richards, Rachel Shriver

The literature remains mixed on the extent to which medical malpractice reforms affect physician overuse of procedures (i.e., “defensive medicine”). We bring new evidence to this discourse by examining a recent reform in North Carolina that introduced caps on noneconomic damages. We focus on a setting where malpractice risk is high and service intensity is strongly subject to physicians’ discretion: obstetrics care. Comparing discharge data from North Carolina to Florida, we show that caps on noneconomic damages causally reduce the likelihood of a cesarean delivery by, on average, 5%, with the effect size nearing 7% five years post-policy implementation. Physicians also substitute away from other intensive procedures such as vacuum and forceps deliveries but maintain control over the timing of births by increasing medical inductions. Our findings suggest that the reduction in cesarean deliveries due to North Carolina's damage caps can reduce annual spending by approximately $4.6 million.

在医疗事故改革影响医生过度使用程序(即“防御性医学”)的程度上,文献仍然混杂。我们通过研究北卡罗来纳州最近引入非经济损害上限的改革,为这一论述提供了新的证据。我们专注于医疗事故风险高,服务强度强烈受到医生自由裁量权的设置:产科护理。通过比较北卡罗来纳州和佛罗里达州的出院数据,我们发现,限制非经济损失导致剖宫产的可能性平均降低了5%,政策实施五年后的效应量接近7%。医生也可以替代其他密集的程序,如真空和产钳分娩,但通过增加医学引产来控制分娩时间。我们的研究结果表明,由于北卡罗来纳州的损害上限,剖腹产分娩的减少可以减少大约460万美元的年度支出。
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引用次数: 0
Notes from the Editor 编辑注释
IF 2.4 3区 管理学 Q2 ECONOMICS Pub Date : 2025-08-18 DOI: 10.1002/pam.70050
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引用次数: 0
Counterpoint 对位法
IF 2.4 3区 管理学 Q2 ECONOMICS Pub Date : 2025-08-18 DOI: 10.1002/pam.70039
Kent Smetters
<p>Federal debt can grow over time but not faster than GDP in the long run. Revenue must cover spending plus interest owed on the debt. Calculating the tax increase required to stabilize the debt-GDP ratio after 30 years requires estimating primary deficits (not including interest payments), borrowing rates <i>r</i> and growth rate <i>g</i> for many years after the Congressional Budget Office's (CBO, <span>2025a</span>) 30-year projection. CBO never reported a stabilizing rate. I am sure that Edelberg et al. (<span>2025</span>) reasonably extrapolated CBO data to estimate their 3% GDP value. But modest changes in assumptions create large differences: A 100% debt-GDP ratio and a 300% debt-GDP ratio could both be reasonably estimated to require the same future 3% of GDP, or even 6% or 9%.1 Using a microsimulation (not OLG) model, where the first decade was purposely aligned to CBO's (including CBO's no growth of discretionary spending2), Gokhale and Smetters (<span>2024</span>) estimated a permanent 6.6% GDP shortfall in 2024 when the debt-GDP ratio was 98%.3 The Government Accountability Office (GAO, <span>2024</span>) projected a debt-to-GDP ratio of 229% by 2054. CBO (<span>2025b</span>) projected ratios “exceeding” 250% by 2055 under assumptions that are reasonable and even more consistent with the reduced-form literature.</p><p>Uncertainty is common in long-term projections, and debates over reduced-form parameter values can be endless. Moreover, a standard insight from the field of finance is that more probability weight should be placed on worse outcomes.4 Otherwise, eliminating the tax system altogether would be optimal.5</p><p>But let me pinpoint what I think is the specific disagreement between Louise and me. The risk-free rate itself is <i>under-identified</i> in reduced-form models like CBOLT.6 The modeler picks a time path of interest rates—maybe based on yet another reduced-form estimation7—instead of computing the rate required for bond market demand to equal government supply at each point in time. My sense is that Louise seems fine with that; I am not. We agree with using simple models to study stimulus during short-term disruptions like COVID-19.8 But I disagree that reduced-form models are sensible for longer-term analysis where forward-looking trillion-dollar capital markets require that asset demand and supply add up (equilibrium). If simple statistical relationships, estimated at historical lower levels of debt, applied to an increasing debt path, debt crises would not exist. Even CBO has a limited appetite for this simplicity, capping their reported debt-GDP projections at 250%, which is easily achievable in 30 years with reasonable assumptions.</p><p>The OLG model with aggregate uncertainty requires that prices, including interest rates, follow supply and demand. In words, things must add up. The OLG model can also incorporate future demographic changes from a microsimulation model. This responsiveness of the OLG model to de
由于人口老龄化,长期债券利率应该很低即便如此,尽管经济增长前景恶化,10年期和30年期美国国债的实际(经通胀调整后的)收益率仍超过了历史平均水平名义收益率接近英国,而英国的通胀预期和预期实际增长率仅略低于美国。尽管美国和英国的债务与gdp之比相似,但英国的债务持续时间是美国的两倍。如果美国的期限相匹配,美国的长期利率将更高,可能超过英国,尽管前景相似。当然,现在下结论还为时过早,而且,更直接的是,几个月来,市场定价认为最近的OBBB法案通过的可能性很高(超过80%)。诚然,美国的债务能力高于英国,这在很大程度上是由于美国的税率较低。尽管如此,最近英国的经历,以及最近美国解放日的经历(如果不是基本上停止的话),还是提醒我们要谨慎。我们远不是不可战胜的。除非进行严肃的政策改革,否则只有时间才能证明谁是正确的。这是一个我真心希望输掉的争论。大概二十多年后,我希望能接到露易丝的电话,嘲笑我,说我什么都不用担心,还说我现在欠她在杜邦环岛某个时髦的地方吃午饭。如果我猜对了,我会给她地理坐标;参观时记得带上帐篷和钓鱼竿。
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引用次数: 0
期刊
Journal of Policy Analysis and Management
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