WEBVTT 00:00:00.000 --> 00:00:02.550 ♪ [音乐] ♪ 00:00:03.800 --> 00:00:05.800 - [旁白] 欢迎收看“诺奖得主畅谈系列” 00:00:07.040 --> 00:00:08.100 在这一集中 00:00:08.100 --> 00:00:11.570 Josh Angrist 和 Guido Imbens 与 Isaiah Andrews 00:00:11.570 --> 00:00:14.600 将讨论计量经济学领域是如何发展的 00:00:16.100 --> 00:00:18.750 - [Isaiah] 那么,Guido 和 Josh 00:00:18.750 --> 00:00:21.500 你们都是开发经济学实证研究工具的先驱 00:00:21.500 --> 00:00:23.174 所以我想了解你对这个领域的发展方向的想法 00:00:23.174 --> 00:00:25.300 00:00:25.709 --> 00:00:28.079 经济学、计量经济学,整个领域 00:00:28.510 --> 00:00:31.302 首先,我很想听听你是否觉得 00:00:32.171 --> 00:00:35.200 局部平均处理效应框架的方式 00:00:35.200 --> 00:00:38.510 00:00:38.800 --> 00:00:42.187 对经济学中的新经验法如何发展和传播 00:00:42.187 --> 00:00:44.300 或它们应如何发展和传播有任何榜样 00:00:44.560 --> 00:00:45.960 - [Josh] 这是个好问题 00:00:46.610 --> 00:00:47.790 你先说吧 00:00:47.790 --> 00:00:49.240 [笑声] 00:00:49.700 --> 00:00:52.940 - [Guido] 是的,所以我认为重要的是 00:00:52.940 --> 00:00:58.550 要提出令人信服的案例 00:00:58.550 --> 00:01:02.207 其中问题清晰 00:01:02.400 --> 00:01:05.720 且方法普遍适用 00:01:06.253 --> 00:01:07.560 有一件事我... 00:01:08.192 --> 00:01:12.000 当我回顾较新的文献时 00:01:12.200 --> 00:01:16.700 我真的很喜欢回归不连续性文献 00:01:16.700 --> 00:01:19.670 其中显然有一堆非常有说服力的例子 00:01:19.670 --> 00:01:23.378 这让人们可以更清晰地思考 00:01:23.378 --> 00:01:27.200 更仔细地研究方法问题 00:01:27.400 --> 00:01:28.800 有着一些清晰的应用方法 00:01:28.800 --> 00:01:30.600 然后允许你思考: 00:01:30.600 --> 00:01:33.600 “哇,这些类型的假设在这里看起来合理吗? 00:01:33.600 --> 00:01:38.000 我们不喜欢早期论文中的哪些方面? 00:01:38.500 --> 00:01:39.802 我们如何改进这些方面?” 00:01:39.802 --> 00:01:44.210 因此,我认为有着明确的应用方法 00:01:44.210 --> 00:01:46.400 来激发这些文献是非常有帮助的 00:01:46.800 --> 00:01:48.050 - Guido,我很高兴 你提到了回归不连续性 00:01:48.050 --> 00:01:49.382 00:01:49.382 --> 00:01:53.300 我认为 IV 和 RD、 00:01:54.700 --> 00:01:57.060 工具变量和回归不连续性之间有很多互补性 00:02:00.506 --> 00:02:03.260 回归不连续性的许多计量经济学应用 曾经被称为“模糊” RD 00:02:03.260 --> 00:02:04.520 00:02:04.520 --> 00:02:07.230 00:02:07.230 --> 00:02:11.620 它在截止时不是离散的或确定的 00:02:11.620 --> 00:02:14.900 而只在速率或强度上有着变化 00:02:14.900 --> 00:02:17.737 LATE 框架帮助我们理解这些应用方法 00:02:17.737 --> 00:02:18.740 00:02:18.740 --> 00:02:21.140 并为我们提供了一个清晰的解释 00:02:21.140 --> 00:02:25.000 比如在我与 Victor Lavy 的论文中 00:02:25.000 --> 00:02:28.100 我们使用了 Maimonides 规则 班级规模截断 00:02:28.430 --> 00:02:30.030 那么你这里了解到了什么? 00:02:30.290 --> 00:02:31.820 当然,你可以用线性常数效应模型 来回答这个问题 00:02:31.820 --> 00:02:33.900 00:02:34.200 --> 00:02:36.310 但事实证明我们并不局限于此 00:02:36.310 --> 00:02:39.889 RD 仍然非常强大和有启发性 00:02:40.630 --> 00:02:43.092 即使在这种情况和类型规模下 00:02:43.092 --> 00:02:45.866 截止和感兴趣的变量之间的相关性是局部的 00:02:45.866 --> 00:02:49.133 00:02:49.133 --> 00:02:51.000 甚至可能不是那么强 00:02:52.000 --> 00:02:54.999 所以肯定有着平行发展 00:02:54.999 --> 00:02:56.400 这也很有趣... 00:02:57.253 --> 00:02:59.780 当我们在读研究生时,没有人谈论回归不连续性设计 00:02:59.780 --> 00:03:01.220 00:03:01.220 --> 00:03:02.843 这是其他社会科学家感兴趣的东西 00:03:02.843 --> 00:03:05.300 00:03:05.800 --> 00:03:09.507 它与 LATE 框架一起成长 00:03:09.507 --> 00:03:11.927 我们都曾基于这两种应用方式和方法进行工作 00:03:11.927 --> 00:03:14.565 00:03:14.565 --> 00:03:18.377 而且能看到它的发展并变得如此重要 00:03:18.377 --> 00:03:19.800 我感到非常兴奋 00:03:20.000 --> 00:03:21.767 我认为,这是朝着可靠的识别策略 00:03:21.767 --> 00:03:26.086 因果效应的普遍演变的一部分 00:03:26.086 --> 00:03:27.441 00:03:29.393 --> 00:03:30.642 使计量经济学更多地关注 因果问题而不是模型 00:03:30.642 --> 00:03:33.300 00:03:33.640 --> 00:03:34.650 就未来而言 00:03:34.650 --> 00:03:37.660 我认为 LATE 帮助促进的一件事是 00:03:37.660 --> 00:03:42.008 朝着更具创造性的随机试验迈进 00:03:42.008 --> 00:03:44.400 其中有着一些有趣的东西 00:03:45.500 --> 00:03:48.460 它不可能或直接能被简单地关闭或开启 00:03:48.460 --> 00:03:50.700 00:03:51.000 --> 00:03:54.584 但你可以鼓励或阻止它 00:03:54.584 --> 00:03:58.200 因此,例如,你能通过经济援助 来补贴学校教育 00:03:59.000 --> 00:04:02.080 所以现在我们有了 一个完整的框架来解释这一点 00:04:03.600 --> 00:04:07.113 它打开了对以前似乎不可能的事情 进行随机试验的大门 00:04:07.113 --> 00:04:09.265 00:04:10.300 --> 00:04:12.471 00:04:14.500 --> 00:04:17.864 我们在麻省理工学院 Blueprint实验室中 00:04:17.864 --> 00:04:21.160 大量使用了这一点 00:04:22.360 --> 00:04:26.600 我认为,我们正在以 非常有创意的方式利用随机分配 00:04:28.100 --> 00:04:31.395 - [Isaiah] 与此相关,你是否看到 00:04:31.395 --> 00:04:34.445 有助于计量经济学研究的特定因素? 00:04:34.445 --> 00:04:38.443 你已经提到它与 实际出现的问题有明确的联系 00:04:38.443 --> 00:04:40.300 00:04:40.300 --> 00:04:42.862 并且经验实践通常是一个好主意 00:04:43.290 --> 00:04:45.000 - 这不是一个好主意吗? 00:04:45.700 --> 00:04:50.112 我经常发现自己坐在 一个计量经济学理论研讨会上 00:04:50.700 --> 00:04:52.500 比如哈佛麻省理工学院的研讨会 00:04:53.400 --> 00:04:56.350 我会想,“这个人在解决什么问题? 00:04:56.350 --> 00:04:57.960 谁面对这个问题?” 00:04:57.960 --> 00:04:59.800 而且,你知道… 00:05:01.600 --> 00:05:04.700 如果我问的话 有时会出现令人尴尬的沉默 00:05:04.900 --> 00:05:08.300 或者可能会有一个相当牵强的场景 00:05:08.800 --> 00:05:11.600 我想看看这个工具在哪里有用 00:05:12.500 --> 00:05:14.765 有一些是纯粹的基础工具 00:05:14.765 --> 00:05:16.250 我确实明白这一点 00:05:16.250 --> 00:05:21.735 有些人正在研究的概念基础 00:05:22.600 --> 00:05:25.300 它变得更像数理统计 00:05:25.800 --> 00:05:27.653 我的意思是,我记得一个较早的例子 00:05:27.653 --> 00:05:29.920 那就是我很难理解的随机等连续性的概念 00:05:29.920 --> 00:05:32.500 00:05:32.500 --> 00:05:35.070 我的论文顾问之一,Whitney Newey 00:05:35.070 --> 00:05:36.479 使用它取得了很好的效果 00:05:36.479 --> 00:05:38.821 我当时试图理解这一点 00:05:40.600 --> 00:05:42.034 这真的很基础 00:05:42.034 --> 00:05:45.200 驱动它的不是一个应用方法 00:05:45.890 --> 00:05:47.300 至少不是立即的 00:05:48.600 --> 00:05:53.200 但是大多数事情不是这样的 所以应该有着问题 00:05:53.800 --> 00:05:59.247 我认为这取决于这类事情的卖家 00:06:00.480 --> 00:06:02.250 因为有着机会成本、时间和注意力 00:06:02.250 --> 00:06:05.295 以及理解事情的努力 00:06:05.980 --> 00:06:07.200 卖家要说:“嘿,我正在解决这个问题,这里有一组结果表明它很有用,这是我得到的一些见解。” 00:06:07.400 --> 00:06:08.900 00:06:09.400 --> 00:06:12.900 00:06:12.900 --> 00:06:15.200 00:06:16.097 --> 00:06:18.280 - [以赛亚]正如你所说,乔希,已经朝着更多地考虑经济学中的因果关系和经济学中的实证工作的方向发展。 00:06:18.280 --> 00:06:20.700 00:06:20.700 --> 00:06:22.900 00:06:22.900 --> 00:06:26.570 这种观点的传播有什么让你感到惊讶的后果,或者你认为是经验经济学发展方式的不利因素吗? 00:06:26.570 --> 00:06:28.347 00:06:28.705 --> 00:06:31.500 00:06:31.500 --> 00:06:34.322 - 有时我看到有人做静脉注射,他们得到的结果似乎难以置信地大——这是通常的情况。 00:06:34.322 --> 00:06:38.304 00:06:38.800 --> 00:06:40.200 00:06:42.500 --> 00:06:45.220 因此,这可能是一些相对较小的干预造成的非常大的因果影响,这些干预是随机的,或者您可以证明存在一个好的设计。 00:06:45.220 --> 00:06:48.600 00:06:49.100 --> 00:06:52.260 00:06:52.260 --> 00:06:54.490 00:06:54.900 --> 00:06:57.205 然后当我看到这一点时,我认为我很难相信这种相对较小的干预会产生如此大的影响。 00:06:57.944 --> 00:07:00.101 00:07:00.101 --> 00:07:02.030 00:07:02.030 --> 00:07:03.720 00:07:04.100 --> 00:07:06.277 作者有时会诉诸局部平均治疗效果定理并说,“嗯,这些编译器——他们在某些方面很特别,他们只是从这种干预中受益匪浅。” 00:07:06.277 --> 00:07:08.690 00:07:08.690 --> 00:07:11.066 00:07:11.066 --> 00:07:12.700 00:07:13.300 --> 00:07:15.800 00:07:15.800 --> 00:07:17.600 00:07:18.100 --> 00:07:21.175 我不愿意从表面上看。 00:07:21.175 --> 00:07:23.750 我经常认为,当影响太大时,这是因为排除限制失败了,所以你真的没有正确的内生变量来衡量这个结果。 00:07:24.300 --> 00:07:26.780 00:07:26.780 --> 00:07:29.456 00:07:29.456 --> 00:07:31.380 00:07:32.000 --> 00:07:35.700 因此,我不太高兴看到一个通用的异质性论点被用来为我认为可能是一个更深层次的问题的事情辩解。 00:07:36.937 --> 00:07:39.692 00:07:40.022 --> 00:07:41.760 00:07:41.760 --> 00:07:43.800 00:07:45.190 --> 00:07:47.358 - [Guido] 我认为它在简化形式和结构方法之间的讨论中扮演了一个不幸的角色,我觉得这不太正确。 00:07:47.358 --> 00:07:50.083 00:07:50.083 --> 00:07:51.700 00:07:51.700 --> 00:07:55.510 00:07:56.090 --> 00:07:58.810 工具变量假设是关于行为的核心结构假设——它们来自经济……考虑代理人的经济行为,不知何故它被推向了一个我认为不是很有帮助的方向。 00:07:58.810 --> 00:08:01.510 00:08:01.510 --> 00:08:03.483 00:08:03.483 --> 00:08:05.200 00:08:07.100 --> 00:08:09.900 00:08:10.300 --> 00:08:15.100 00:08:15.100 --> 00:08:17.600 00:08:20.426 --> 00:08:21.663 我认为,最初,我们把事情写下来,描述正在发生的事情。 00:08:22.800 --> 00:08:24.067 00:08:24.067 --> 00:08:26.480 00:08:26.480 --> 00:08:29.783 人们使用了一套方法。 00:08:29.783 --> 00:08:32.111 我们以一种我认为包含相当多洞察力的方式阐明了这些方法的作用。 00:08:32.811 --> 00:08:38.361 00:08:39.100 --> 00:08:42.050 但它不知何故被推到了一个我认为不一定很有帮助的角落。 00:08:42.050 --> 00:08:45.379 00:08:45.379 --> 00:08:48.604 - 在简化形式与结构的语言中,我觉得有点有趣,因为局部平均治疗效果模型,潜在结果模型是非参数结构模型,如果你想像你建议的那样考虑它,Guido . 00:08:48.604 --> 00:08:50.306 00:08:50.306 --> 00:08:52.985 00:08:52.985 --> 00:08:54.154 00:08:54.154 --> 00:08:56.110 00:08:56.110 --> 00:08:58.600 00:08:58.600 --> 00:09:01.129 所以当—— 00:09:01.129 --> 00:09:03.505 00:09:03.505 --> 00:09:05.116 - [圭多] 是的。 - [Josh] 当然,这种语言来自我们继承的联立方程框架。 00:09:05.116 --> 00:09:08.371 00:09:08.371 --> 00:09:09.641 00:09:10.400 --> 00:09:11.440 它的优点是人们在你使用它时似乎知道你的意思,但这可能是不同的人听到不同的东西。 00:09:11.440 --> 00:09:14.085 00:09:14.085 --> 00:09:15.164 00:09:16.559 --> 00:09:18.300 00:09:18.300 --> 00:09:20.480 - [圭多] 是的。我认为简化形式已被用于贬义... 00:09:20.480 --> 00:09:22.200 00:09:22.200 --> 00:09:23.540 - [乔希] 有时。 ...这并不是它最初的目的。 00:09:25.104 --> 00:09:28.250 00:09:30.100 --> 00:09:33.090 - [以赛亚] 我想在思考局部平均治疗效果框架的影响时,还有一点让我印象深刻的是,人们通常会在远远超出任何形式的正式结果实际存在的环境中诉诸局部平均治疗效果直觉已确立的。 00:09:33.090 --> 00:09:35.645 00:09:35.645 --> 00:09:37.676 00:09:37.676 --> 00:09:40.000 00:09:40.000 --> 00:09:42.358 00:09:42.358 --> 00:09:44.963 00:09:45.440 --> 00:09:49.180 我很好奇,鉴于你们为在不同环境中建立 LATE 结果所做的所有工作,我很好奇,对此有什么想法吗? 00:09:49.180 --> 00:09:52.390 00:09:52.390 --> 00:09:54.415 00:09:55.360 --> 00:09:57.306 - 我认为在很多情况下直觉确实会让你保持距离,但它会受到一些限制,建立正式的结果可能会有点棘手,然后可能只在特殊情况下才有效,然后你就结束了有很多可能无法完全捕捉直觉的形式。 00:09:57.306 --> 00:10:02.200 00:10:02.800 --> 00:10:04.989 00:10:04.989 --> 00:10:07.600 00:10:08.400 --> 00:10:09.490 00:10:09.490 --> 00:10:12.700 00:10:14.600 --> 00:10:16.540 00:10:16.540 --> 00:10:19.500 00:10:19.900 --> 00:10:21.550 有时我对它们有些不安,它们不一定是我想写的论文,但我确实认为直觉通常确实抓住了问题的一部分。 00:10:21.550 --> 00:10:24.438 00:10:25.148 --> 00:10:27.819 00:10:27.819 --> 00:10:30.912 00:10:33.100 --> 00:10:36.300 我认为,从某种意义上说,我们很幸运,LATE 论文在期刊上得到了处理,所以,实际上,编辑把它缩短了很多,这让我们能够专注于非常清晰、清晰的结果。 00:10:36.900 --> 00:10:39.250 00:10:39.250 --> 00:10:41.766 00:10:42.100 --> 00:10:46.300 00:10:49.924 --> 00:10:51.770 计量经济学文献中有些不幸的趋势是论文越来越长。 00:10:51.770 --> 00:10:53.118 00:10:53.118 --> 00:10:54.870 00:10:54.870 --> 00:10:56.550 - 嗯,你应该能够解决这个问题,伙计。 00:10:56.550 --> 00:10:58.915 - 我正在努力解决这个问题。 [笑声] 00:10:58.915 --> 00:11:01.510 但我认为这是一个例子,很明显,它很短实际上是—— 00:11:01.510 --> 00:11:03.097 00:11:03.097 --> 00:11:04.750 - 你应该强制规定没有任何论文可以比 LATE 论文更长。 00:11:04.750 --> 00:11:06.802 00:11:07.269 --> 00:11:09.617 - 那……哇!那可能很棒。 00:11:09.617 --> 00:11:11.685 - 至少没有理论,没有理论论文。 00:11:11.892 --> 00:11:13.339 - 是的,我认为...... 00:11:14.500 --> 00:11:16.800 我正在努力让论文更短,我认为今天有很多价值,因为它通常是论文的第二部分实际上并没有让你得到太多进一步理解事物,它确实使事情变得更难阅读。 00:11:16.800 --> 00:11:19.514 00:11:19.514 --> 00:11:21.573 00:11:21.573 --> 00:11:25.049 00:11:25.049 --> 00:11:26.395 00:11:27.000 --> 00:11:29.870 00:11:32.426 --> 00:11:36.179 这可以追溯到我认为应该如何进行计量经济学。 00:11:36.179 --> 00:11:38.070 00:11:38.700 --> 00:11:41.300 00:11:41.500 --> 00:11:43.900 00:11:44.800 --> 00:11:48.900 00:11:48.900 --> 00:11:50.010 00:11:51.100 --> 00:11:54.670 00:11:56.260 --> 00:11:57.750 00:11:57.750 --> 00:12:00.230 00:12:00.230 --> 00:12:03.765 00:12:03.765 --> 00:12:04.994 00:12:04.994 --> 00:12:07.563 00:12:07.563 --> 00:12:09.840 00:12:09.840 --> 00:12:11.600 00:12:11.600 --> 00:12:13.950 00:12:14.600 --> 00:12:16.770 00:12:16.770 --> 00:12:21.000 00:12:21.800 --> 00:12:27.530 00:12:28.000 --> 00:12:29.300 00:12:29.300 --> 00:12:32.030 00:12:32.600 --> 00:12:35.500 00:12:35.500 --> 00:12:37.000 00:12:37.400 --> 00:12:42.362 00:12:43.228 --> 00:12:46.700 00:12:46.700 --> 00:12:49.250 00:12:49.250 --> 00:12:50.800 00:12:52.000 --> 00:12:54.250 00:12:54.250 --> 00:12:56.100 00:12:56.100 --> 00:12:59.736 00:12:59.736 --> 00:13:02.143 00:13:02.143 --> 00:13:04.290 00:13:04.800 --> 00:13:07.000 00:13:07.600 --> 00:13:09.501 00:13:09.920 --> 00:13:12.805 00:13:13.100 --> 00:13:15.400 00:13:15.900 --> 00:13:17.730 00:13:17.730 --> 00:13:19.231 00:13:19.231 --> 00:13:22.616 00:13:22.616 --> 00:13:25.100 00:13:25.230 --> 00:13:27.534 00:13:27.534 --> 00:13:30.900 00:13:31.700 --> 00:13:36.068 00:13:37.900 --> 00:13:41.190 00:13:41.190 --> 00:13:42.900 00:13:43.200 --> 00:13:47.280 00:13:47.280 --> 00:13:51.180 00:13:51.180 --> 00:13:53.272 00:13:54.906 --> 00:13:56.477 00:13:56.477 --> 00:13:59.300 00:13:59.643 --> 00:14:01.992 00:14:01.992 --> 00:14:05.657 00:14:05.657 --> 00:14:07.910 00:14:07.910 --> 00:14:09.557 00:14:10.100 --> 00:14:13.389 00:14:13.389 --> 00:14:14.688 00:14:16.300 --> 00:14:17.414 00:14:19.000 --> 00:14:21.700 00:14:22.120 --> 00:14:23.370 00:14:23.370 --> 00:14:26.780 00:14:27.200 --> 00:14:28.780 00:14:28.780 --> 00:14:32.836 00:14:33.370 --> 00:14:36.325 00:14:36.325 --> 00:14:37.807 00:14:37.807 --> 00:14:39.289 00:14:39.289 --> 00:14:42.100 00:14:44.846 --> 00:14:47.500 00:14:47.500 --> 00:14:49.467 00:14:49.467 --> 00:14:54.212 00:14:54.212 --> 00:14:56.920 00:14:56.920 --> 00:14:58.950 00:14:58.950 --> 00:15:01.140 00:15:01.140 --> 00:15:02.723 00:15:03.900 --> 00:15:07.630 00:15:07.630 --> 00:15:09.430 00:15:09.430 --> 00:15:12.730 00:15:12.730 --> 00:15:15.480 00:15:15.480 --> 00:15:16.800 00:15:17.100 --> 00:15:18.550 00:15:18.550 --> 00:15:20.900 00:15:22.104 --> 00:15:23.732 00:15:23.732 --> 00:15:26.783 00:15:26.783 --> 00:15:32.772 00:15:32.772 --> 00:15:35.595 00:15:35.595 --> 00:15:38.290 00:15:38.290 --> 00:15:40.300 00:15:40.300 --> 00:15:42.300 00:15:42.300 --> 00:15:44.400 00:15:44.400 --> 00:15:45.890 00:15:45.890 --> 00:15:48.200 00:15:49.100 --> 00:15:52.200 00:15:52.200 --> 00:15:53.675 00:15:53.675 --> 00:15:56.390 00:15:56.913 --> 00:15:59.400 00:15:59.980 --> 00:16:02.840 00:16:02.840 --> 00:16:05.112 00:16:05.112 --> 00:16:07.100 00:16:07.380 --> 00:16:08.900 00:16:10.200 --> 00:16:13.929 00:16:13.929 --> 00:16:15.950 00:16:15.950 --> 00:16:17.330 00:16:18.200 --> 00:16:21.241 00:16:21.241 --> 00:16:27.430 00:16:27.430 --> 00:16:31.600 00:16:31.600 --> 00:16:33.274 00:16:35.500 --> 00:16:38.600 00:16:38.600 --> 00:16:42.893 00:16:42.893 --> 00:16:46.330 00:16:46.330 --> 00:16:48.300 00:16:48.600 --> 00:16:51.500 00:16:52.718 --> 00:16:53.868 00:16:53.868 --> 00:16:56.920 00:16:56.920 --> 00:17:00.533 00:17:00.800 --> 00:17:03.240 00:17:03.240 --> 00:17:05.420 00:17:05.420 --> 00:17:07.600 00:17:07.600 --> 00:17:09.700 00:17:09.700 --> 00:17:13.370 00:17:15.110 --> 00:17:18.230 00:17:18.500 --> 00:17:22.900 00:17:23.400 --> 00:17:24.933 00:17:24.933 --> 00:17:27.570 00:17:27.570 --> 00:17:30.300 00:17:31.700 --> 00:17:35.204 00:17:35.204 --> 00:17:38.516 00:17:38.516 --> 00:17:43.400 00:17:44.600 --> 00:17:47.020 00:17:47.020 --> 00:17:48.200 00:17:48.200 --> 00:17:50.500 00:17:50.500 --> 00:17:53.100 00:17:53.700 --> 00:17:56.720 00:17:56.720 --> 00:17:58.300 00:17:59.036 --> 00:18:01.495