WEBVTT 00:00:00.400 --> 00:00:05.700 The path from cause to effect is dark and dangerous, 00:00:05.700 --> 00:00:08.900 but the weapons of econometrics are strong, 00:00:09.700 --> 00:00:13.700 wield differences-in-differences when witnessing parallel trends. 00:00:14.450 --> 00:00:17.000 ♪ [music] ♪ 00:00:20.100 --> 00:00:21.423 Masters of metrics 00:00:21.423 --> 00:00:24.800 look for convincing ceteris paribus comparisons. 00:00:25.100 --> 00:00:29.419 The ideal comparison contrasts treatment and control groups 00:00:29.419 --> 00:00:30.600 that look similar. 00:00:30.600 --> 00:00:34.700 But sometimes this sort of comparability is elusive. 00:00:34.700 --> 00:00:36.805 When treatment and control groups 00:00:36.805 --> 00:00:40.100 evolve similarly in the absence of treatment, 00:00:40.100 --> 00:00:42.307 even if from different starting points, 00:00:42.307 --> 00:00:44.900 there's hope for causal inference. 00:00:45.600 --> 00:00:48.400 The weapon that exploits parallel evolution, 00:00:48.664 --> 00:00:50.886 masters say parallel trends, 00:00:50.886 --> 00:00:53.363 is called differences-in-differences... 00:00:53.363 --> 00:00:54.300 (voice whispering) Differences-in-differences 00:00:54.400 --> 00:00:56.900 - ...or DD for short. - Alright. Nice. 00:00:56.900 --> 00:00:59.987 Let's see how DD can help us understand 00:00:59.987 --> 00:01:03.058 one of the most important economic events 00:01:03.058 --> 00:01:04.370 in US history. 00:01:05.300 --> 00:01:08.300 Look back with me now at the Great Depression-- 00:01:08.800 --> 00:01:12.200 the worst economic catastrophe, our country has ever known. 00:01:13.100 --> 00:01:16.200 Unemployment hit 25% in 1933-- 00:01:16.600 --> 00:01:19.507 a level not seen before or since. 00:01:19.507 --> 00:01:22.100 Millions lost their homes or their land. 00:01:22.600 --> 00:01:24.737 Suicide spiked, and hungry families 00:01:24.737 --> 00:01:26.766 relied on soup kitchens and bread lines 00:01:26.766 --> 00:01:28.155 to keep from starving. 00:01:29.400 --> 00:01:34.000 Economists argue fiercely over the causes of the Great Depression. 00:01:34.000 --> 00:01:36.983 Most agree, however, that a key piece of the puzzle 00:01:36.983 --> 00:01:39.620 is an epidemic of bank failures. 00:01:39.800 --> 00:01:41.900 This was before Deposit Insurance. 00:01:42.100 --> 00:01:46.300 So if your bank went bankrupt, your savings disappeared with it, 00:01:52.600 --> 00:01:56.100 Faced with a banking crisis. The central bank has a choice 00:01:56.400 --> 00:01:59.800 lend freely to troubled Banks or stand aside 00:01:59.900 --> 00:02:01.100 and refuse to lend 00:02:01.500 --> 00:02:05.300 lending, freely to banks in trouble, is called Easy Money 00:02:05.400 --> 00:02:08.100 refusing to lend is called Tight money. 00:02:10.200 --> 00:02:12.400 Monitors Masters, Milton Friedman and Anna, 00:02:12.400 --> 00:02:14.800 Schwartz famously called the Great Depression. 00:02:14.900 --> 00:02:16.300 The great contraction 00:02:16.800 --> 00:02:21.100 accusing, the Federal Reserve of inflicting, a misguided policy of tight money 00:02:21.200 --> 00:02:24.000 on the nation's teetering, financial institutions. 00:02:24.400 --> 00:02:27.700 They argued that easy money would have kept many banks in business. 00:02:27.900 --> 00:02:29.700 Shortening, the Great Depression, 00:02:30.400 --> 00:02:35.900 but others disagree if banks are insolvent because of unwise lending decisions, 00:02:36.100 --> 00:02:38.900 then bailouts just encourage more foolishness. 00:02:39.600 --> 00:02:41.300 Economists call this problem, 00:02:41.500 --> 00:02:46.100 moral hazard the debate over bailouts in. Moral hazard continues. Today 00:02:46.500 --> 00:02:47.900 should Financial Behemoth. 00:02:47.900 --> 00:02:51.500 Lehman Brothers, have been allowed to fail on the eve of the Great Recession 00:02:52.000 --> 00:02:56.600 in an Ideal World. We'd answer this question by applying different fed policies 00:02:56.600 --> 00:02:58.400 to randomly selected regions, 00:02:59.000 --> 00:03:01.500 but we can still learn a lot by using differences 00:03:01.500 --> 00:03:06.300 and differences to compare Trends across areas with different monetary policies. 00:03:10.900 --> 00:03:15.700 How's that even possible? Don't the same fed policies. Apply to all banks in the US? 00:03:15.800 --> 00:03:17.400 Yeah, good question. 00:03:17.700 --> 00:03:22.500 The Federal Reserve System is divided into twelve districts each headed by 00:03:22.500 --> 00:03:27.300 a regional bank. Today fed policy is set at the national level. 00:03:27.400 --> 00:03:32.200 But in the 1930s Regional, feds could do pretty much as they liked, 00:03:33.200 --> 00:03:35.400 and here's what's so awesome about that 00:03:35.500 --> 00:03:40.600 in 1930. The Atlanta fed running the 6th District, followed an easy money. 00:03:40.700 --> 00:03:45.400 Policy sending wheelbarrows of cash to rescue insolvent institutions, 00:03:45.900 --> 00:03:50.600 the st. Louis fed running the 8th District, followed a Tight money policy. 00:03:51.100 --> 00:03:53.900 Let Veil The foolish they said in st. Louis 00:03:54.300 --> 00:03:59.500 and so a natural experiment in monetary policy was born even better. 00:03:59.600 --> 00:04:01.900 This is a within State experiment, 00:04:02.000 --> 00:04:05.200 the border between the sixth and the eighth districts run smack 00:04:05.200 --> 00:04:06.700 through the middle of Mississippi. 00:04:07.300 --> 00:04:10.500 So northern, Mississippi had tied money while Southern Mississippi. 00:04:10.700 --> 00:04:15.200 Had easy money, but under the same state laws in banking regulations, in both. 00:04:15.800 --> 00:04:19.700 The treatment group is the district. 6 part of Mississippi, 00:04:20.100 --> 00:04:23.100 which had access to Easy Money during the crisis. 00:04:23.800 --> 00:04:27.600 The control group is the district 8 part of Mississippi, 00:04:27.800 --> 00:04:30.100 which had Tight money during the crisis. 00:04:31.300 --> 00:04:35.400 The key year in our natural experiment was 1930, 00:04:35.800 --> 00:04:41.900 Caldwell and Company a massive Financial Empire. In the South Came Crashing. Down. 00:04:42.700 --> 00:04:46.000 Banking is a business built on confidence and Trust 00:04:46.500 --> 00:04:52.900 the Caldwell meltdown caused a panic that led to a widespread Bank Run all at once. 00:04:53.000 --> 00:04:56.900 Depositors wanted their money back, causing Banks to go bankrupt 00:04:57.000 --> 00:04:58.200 and shut their doors. 00:05:01.000 --> 00:05:04.400 We'll use differences in differences to measure the effect 00:05:04.400 --> 00:05:09.100 of contrasting monetary policies in response to the Caldwell crisis. 00:05:12.500 --> 00:05:16.300 This figure plots. The number of banks in Mississippi by year 00:05:16.400 --> 00:05:18.800 for the eighth and sixth districts. 00:05:19.200 --> 00:05:24.100 Let's start in 1929 a year before the Caldwell crash. 00:05:24.200 --> 00:05:30.400 There are 169 banks open in the eighth and 141 banks open in the 00:05:31.300 --> 00:05:32.500 Over the next year, 00:05:32.700 --> 00:05:37.000 we see a similar handful of banks fail. In both districts, 00:05:37.400 --> 00:05:41.700 the change in the number of banks in operation. Is remarkably similar. 00:05:42.100 --> 00:05:44.600 That's what parallel Trends look like 00:05:45.500 --> 00:05:48.800 in November. 1930, Caldwell, crashes. 00:05:48.900 --> 00:05:50.400 And the Panic begins 00:05:51.200 --> 00:05:55.300 Banks. Fail frequently in the 8th District, which had Tight money, 00:05:55.800 --> 00:06:00.100 but the decline is slower in the 6th District which had easy money. 00:06:00.800 --> 00:06:03.000 The diverging Trends in this period, 00:06:03.000 --> 00:06:06.300 might be attributable to easy versus Tight money 00:06:06.600 --> 00:06:11.800 in July, of 1931, the 8th District, abandons type money. 00:06:11.900 --> 00:06:14.200 So now both districts are easy. 00:06:14.700 --> 00:06:16.900 Parallel Trends are restored 00:06:17.300 --> 00:06:22.200 in a counterfactual world where the sixth district follows a Tight money policy. 00:06:22.500 --> 00:06:23.800 What might have happened 00:06:24.300 --> 00:06:28.400 if we extrapolate the trend of the 8th District to the sixth, 00:06:28.500 --> 00:06:29.900 it would look like this. 00:06:30.400 --> 00:06:30.700 So 00:06:30.800 --> 00:06:35.900 The treatment effective easy money is how much the 6th District deviated From 00:06:35.900 --> 00:06:38.900 the Path implied by the 8th District trend. 00:06:41.100 --> 00:06:44.000 How many banks did the Easy Money treatment save 00:06:44.000 --> 00:06:49.800 this table reports data for the treatment group District Six in the first row 00:06:49.800 --> 00:06:54.000 and data for the control group District 8 in the second row. 00:06:54.000 --> 00:06:57.400 The First Column shows the number of banks in business, 00:06:57.400 --> 00:07:03.400 before The Crisis began in 1930. The second column shows 1931. 00:07:03.400 --> 00:07:08.900 This is the key period when each district had differing monetary policies during 00:07:08.900 --> 00:07:10.900 the crisis the rightmost. 00:07:11.200 --> 00:07:11.600 Column 00:07:11.700 --> 00:07:18.000 reports changes within the district district, 6 lost 14 Banks while District 00:07:18.100 --> 00:07:23.800 8 lost 33, the mathematical formula for the treatment effect is simple. 00:07:24.400 --> 00:07:28.700 We subtract the change in banks in operation, in the 8th District 00:07:28.900 --> 00:07:32.200 from the change in banks in operation in the sixth. 00:07:32.800 --> 00:07:35.700 Hence. The name differences in differences, 00:07:37.000 --> 00:07:40.900 negative 14, minus negative, 33 equals 9. 00:07:41.100 --> 00:07:41.600 19. 00:07:42.500 --> 00:07:46.800 We estimate that 19 Banks were saved by easy money 00:07:47.300 --> 00:07:51.700 in practice tables and figures like those shown here are the beginning 00:07:51.800 --> 00:07:54.300 rather than the end of a DD analysis, 00:07:55.400 --> 00:08:00.000 the problem of how to gauge the statistical, significance of DD, estimates 00:08:00.100 --> 00:08:02.300 turns out to be exceedingly, tricky 00:08:02.400 --> 00:08:05.600 and a regression is typically part of the solution, 00:08:09.200 --> 00:08:10.700 the key assumption behind a 00:08:11.100 --> 00:08:17.700 DD analysis is that of parallel Trends recall, the principle of ceteris paribus, 00:08:17.900 --> 00:08:21.700 our ideal comparison would have the two districts experienced, 00:08:21.700 --> 00:08:27.800 an identical business environment, except for one factor easy or tight money. 00:08:29.200 --> 00:08:33.500 Both districts would have identical types of customers who would go bankrupt 00:08:33.500 --> 00:08:35.300 at exactly the same rate. 00:08:35.700 --> 00:08:38.600 The skill of their employees would be equal and so on 00:08:39.200 --> 00:08:43.400 perfect ceteris, paribus comparisons would allow us to clearly see 00:08:43.600 --> 00:08:48.700 the causal effect of different fed policies in this case, that's not possible. 00:08:49.100 --> 00:08:53.600 But the idea of parallel Trends is based on a similar concept. 00:08:53.600 --> 00:08:57.900 If we see that the two regions experienced similar Trends in the number 00:08:57.900 --> 00:08:58.800 of banks over. 00:08:59.000 --> 00:09:04.000 Time in the absence of treatment, we can assume they are good comparisons. 00:09:04.400 --> 00:09:09.800 We see that the two districts move in parallel both before the crisis. And after, 00:09:10.100 --> 00:09:12.400 when they have the same fed policy, 00:09:13.100 --> 00:09:18.300 the only time the district's behave differently is when the FED policy is different. 00:09:19.400 --> 00:09:26.700 In view of this fed policy is a likely cause of diverging Trends from 1930 to 1931. 00:09:27.800 --> 00:09:31.800 But we should also check for other changes unique to northern, Mississippi. 00:09:32.300 --> 00:09:33.200 What do you mean? 00:09:33.500 --> 00:09:39.100 Imagine that bad tornadoes? Hit Northern, but not Southern. Mississippi in 1930, 00:09:39.600 --> 00:09:44.300 these tornadoes devastate Farms causing Farmers to default on loans, 00:09:44.600 --> 00:09:46.800 which drives their Banks out of business. 00:09:47.400 --> 00:09:52.200 Then the sixth and eighth districts would differ in not one, but two ways 00:09:52.700 --> 00:09:57.200 fed policy, and whether and we'd have trouble identifying 00:09:57.600 --> 00:10:02.500 Policy as the causal Factor behind increased bank failures in the eighth. 00:10:07.200 --> 00:10:10.200 DD credibility lives or dies with the claim that the 00:10:10.200 --> 00:10:13.600 only reason northern Mississippi was special in 1930 00:10:13.900 --> 00:10:16.000 is differing. Regional fed policy. 00:10:16.600 --> 00:10:22.100 We're in DD heaven with strong Visual Evidence of parallel Trend in general. 00:10:22.200 --> 00:10:24.200 The first step in evaluating whether 00:10:24.200 --> 00:10:30.200 to use DD is usually this type of visual confirmation of parallel Trends 00:10:30.200 --> 00:10:31.700 outside of the period. 00:10:31.700 --> 00:10:36.900 When we expect to see a treatment effect, the treatment in our example, 00:10:37.100 --> 00:10:39.700 Easy money in the face of bank failures 00:10:40.500 --> 00:10:45.000 metrics Masters, use DD to explore effects of many policies 00:10:45.800 --> 00:10:47.900 like the minimum, legal drinking age, 00:10:48.500 --> 00:10:52.200 and environmental changes like access to clean water. 00:10:52.900 --> 00:10:54.200 In our next video. 00:10:54.500 --> 00:10:59.200 We'll see an example of how regression is used to implement a DD approach. 00:11:00.800 --> 00:11:06.900 Are you a teacher click to explore ways to use these videos in class if your learner 00:11:07.000 --> 00:11:11.200 Make sure this video sticks by taking a few quick practice questions, 00:11:11.600 --> 00:11:14.200 or if you're ready. Click for the next video. 00:11:14.600 --> 00:11:20.000 You can also check out Mr. Use website for more courses, teacher resources and more.