1 00:00:00,220 --> 00:00:02,737 Male: In the last video, we began our exploration 2 00:00:02,737 --> 00:00:04,736 of what a consumption function is. 3 00:00:04,736 --> 00:00:06,331 It's a fairly straightforward idea. 4 00:00:06,331 --> 00:00:08,234 It's a function that describes how 5 00:00:08,234 --> 00:00:12,138 aggregate income can drive aggregate consumption. 6 00:00:12,138 --> 00:00:14,479 We started with a fairly simple model of this, 7 00:00:14,479 --> 00:00:16,233 a fairly simple consumption function. 8 00:00:16,233 --> 00:00:17,536 It was a linear one. 9 00:00:17,536 --> 00:00:19,313 You had some base level of consumption, 10 00:00:19,313 --> 00:00:21,007 regardless of aggregate income, 11 00:00:21,007 --> 00:00:22,977 and then you had some level of consumption 12 00:00:22,977 --> 00:00:25,143 that was essentially induced by having 13 00:00:25,143 --> 00:00:27,276 some disposable income. 14 00:00:27,276 --> 00:00:30,149 When we plotted this linear model, we got a line. 15 00:00:30,149 --> 00:00:32,005 We got a line right over here. 16 00:00:32,005 --> 00:00:33,400 I pointed out in the last video 17 00:00:33,400 --> 00:00:35,312 this does not have to be the only way 18 00:00:35,312 --> 00:00:37,413 that a consumption function can be described. 19 00:00:37,413 --> 00:00:39,867 You might use some fancier mathematical tools. 20 00:00:39,867 --> 00:00:42,137 Maybe you can construct a consumption function. 21 00:00:42,137 --> 00:00:43,360 You have an argument. 22 00:00:43,360 --> 00:00:45,002 You would argue that the marginal propensity 23 00:00:45,002 --> 00:00:47,532 to consume is higher at lower levels 24 00:00:47,532 --> 00:00:50,401 of disposable income and that it kind of tapers out 25 00:00:50,401 --> 00:00:52,199 as disposable income, as aggregate 26 00:00:52,199 --> 00:00:54,004 disposable income goes up. 27 00:00:54,004 --> 00:00:55,822 You might think that maybe you should have 28 00:00:55,822 --> 00:00:57,741 a fancier consumption function 29 00:00:57,741 --> 00:00:59,902 that when you graph it would look like this 30 00:00:59,902 --> 00:01:01,407 and then you would have to use things 31 00:01:01,407 --> 00:01:03,872 fancier than just what we used right over here. 32 00:01:03,872 --> 00:01:05,400 What I want to do in this video 33 00:01:05,400 --> 00:01:08,153 is focus more on a linear model. 34 00:01:08,153 --> 00:01:10,074 The reason why I'm going to focus on 35 00:01:10,074 --> 00:01:12,817 a linear model is because, one, it's simpler. 36 00:01:12,817 --> 00:01:14,486 It'll be easier to manipulate. 37 00:01:14,486 --> 00:01:16,933 It's also the model that tends to be used 38 00:01:16,933 --> 00:01:18,736 right when people are starting to digest 39 00:01:18,736 --> 00:01:20,668 things like consumption functions 40 00:01:20,668 --> 00:01:24,133 and building on them to learn about things 41 00:01:24,133 --> 00:01:25,600 like, and we'll do this in a few videos, 42 00:01:25,600 --> 00:01:27,129 the Keynesian Cross. 43 00:01:27,129 --> 00:01:29,160 What I'm going to do is, I'm going to do two things. 44 00:01:29,160 --> 00:01:31,069 I'm going to generalize this linear 45 00:01:31,069 --> 00:01:32,935 consumption function, and I'm going to make it 46 00:01:32,935 --> 00:01:35,334 a function not just of disposal income, 47 00:01:35,334 --> 00:01:38,067 not just of aggregate disposable income, 48 00:01:38,067 --> 00:01:39,493 which is what we did in the last video, 49 00:01:39,493 --> 00:01:43,131 but as a function of income, of aggregate income. 50 00:01:43,131 --> 00:01:45,566 Then we will plot that generalized one 51 00:01:45,566 --> 00:01:46,820 based on the variables. 52 00:01:46,820 --> 00:01:48,075 It's really going to be the same thing. 53 00:01:48,075 --> 00:01:49,402 We're just not going to use these numbers. 54 00:01:49,402 --> 00:01:51,071 We're going to use variables in their place. 55 00:01:51,071 --> 00:01:54,408 Let's give ourselves a linear consumption function. 56 00:01:54,408 --> 00:01:58,707 We can say that aggregate consumption 57 00:01:58,707 --> 00:02:00,266 where we're going to have some base level 58 00:02:00,266 --> 00:02:02,390 of consumption no matter what, even if people 59 00:02:02,390 --> 00:02:04,810 have no aggregate income, they need to survive. 60 00:02:04,810 --> 00:02:06,063 They need food on the table. 61 00:02:06,063 --> 00:02:08,476 Maybe they'll have to dig in savings somehow to do it. 62 00:02:08,476 --> 00:02:10,663 So, some base level of consumption. 63 00:02:10,663 --> 00:02:13,892 I'll call that lower case c sub zero. 64 00:02:13,892 --> 00:02:17,394 Or lowercase c with a subscript of zero right over there. 65 00:02:17,394 --> 00:02:20,328 That's the base level of aggregate consumption 66 00:02:20,328 --> 00:02:23,991 or it's sometimes referred to as autonomous consumption. 67 00:02:23,991 --> 00:02:30,922 This is autonomous consumption because people 68 00:02:30,922 --> 00:02:32,662 will do it on their own, or in aggregate 69 00:02:32,662 --> 00:02:34,265 they will do it on their own, even if they have 70 00:02:34,265 --> 00:02:36,451 no aggregate income. 71 00:02:36,451 --> 00:02:39,591 Then we will have the part that is due, 72 00:02:39,591 --> 00:02:42,396 directly due, to having some aggregate income. 73 00:02:42,396 --> 00:02:44,884 We call that the induced consumption, 74 00:02:44,884 --> 00:02:46,379 because you can view it as being induced 75 00:02:46,379 --> 00:02:48,258 by having some aggregate income. 76 00:02:48,258 --> 00:02:51,194 Above and beyond what the base level of consumption, 77 00:02:51,194 --> 00:02:54,382 people are going to consume some fraction 78 00:02:54,382 --> 00:02:56,219 of their disposable income. 79 00:02:56,219 --> 00:03:04,217 So we'll say disposable income. 80 00:03:04,217 --> 00:03:05,733 They're not going to consume all 81 00:03:05,733 --> 00:03:06,639 of their disposable income. 82 00:03:06,639 --> 00:03:07,736 They might save some of it. 83 00:03:07,736 --> 00:03:09,468 So they're going to consume the fraction 84 00:03:09,468 --> 00:03:12,664 that's essentially their marginal propensity to consume. 85 00:03:12,664 --> 00:03:17,051 This right over here, I'll do that in this orange color. 86 00:03:17,051 --> 00:03:22,367 Marginal propensity to consume. 87 00:03:22,367 --> 00:03:23,753 Hopefully this makes intuitive sense. 88 00:03:23,753 --> 00:03:25,317 This says, look, if this was 100, 89 00:03:25,317 --> 00:03:27,646 people are going to consume 100 no matter what, 90 00:03:27,646 --> 00:03:30,389 100 billion whatever your unit of currency is. 91 00:03:30,389 --> 00:03:31,725 Now, if their marginal propensity 92 00:03:31,725 --> 00:03:34,651 to consume is, let's say, it is 1/3. 93 00:03:34,651 --> 00:03:37,313 You have now above and beyond this 94 00:03:37,313 --> 00:03:40,581 people have disposable income of let's say 900, 95 00:03:40,581 --> 00:03:43,644 this is saying that they want to consume 1/3 96 00:03:43,644 --> 00:03:46,481 of that disposable income they're getting. 97 00:03:46,481 --> 00:03:48,186 That is, if you give them 900 of extra 98 00:03:48,186 --> 00:03:50,050 disposable income, they're propensity 99 00:03:50,050 --> 00:03:52,730 to consume that incremental income, 100 00:03:52,730 --> 00:03:54,146 they're going to consume 1/3 of it. 101 00:03:54,146 --> 00:03:56,318 So this would be 1/3, so it would be 900. 102 00:03:56,318 --> 00:03:57,782 Let me give an example. 103 00:03:57,782 --> 00:04:00,587 If you had a situation, you could have a situation, 104 00:04:00,587 --> 00:04:05,447 where c-nought is equal to 100. 105 00:04:05,447 --> 00:04:15,156 If you have disposable income is equal to 900, 106 00:04:15,156 --> 00:04:18,315 and c1 is equal to 1/3, or we could say 107 00:04:18,315 --> 00:04:21,886 0.333 repeating forever, c1 is 1/3. 108 00:04:21,886 --> 00:04:23,584 Then this makes sense. 109 00:04:23,584 --> 00:04:25,721 On their own people would consume this much, 110 00:04:25,721 --> 00:04:27,319 but now they have this disposable income. 111 00:04:27,319 --> 00:04:29,227 Their marginal propensity to consume 112 00:04:29,227 --> 00:04:30,914 if you give them 900 extra of income, 113 00:04:30,914 --> 00:04:33,178 they're going to consume 1/3 of that. 114 00:04:33,178 --> 00:04:35,473 So then you're going to have, your consumption 115 00:04:35,473 --> 00:04:38,185 is going to be equal to, for this case right over here, 116 00:04:38,185 --> 00:04:47,794 your consumption is going to be 100 plus 1/3 times 900. 117 00:04:47,794 --> 00:04:49,766 So your consumption in this situation, 118 00:04:49,766 --> 00:04:53,542 your induced consumption, 1/3 times 900, 119 00:04:53,542 --> 00:04:56,931 would be 300, maybe it's in billions of dollars, 120 00:04:56,931 --> 00:04:58,458 300 billion dollars. 121 00:04:58,458 --> 00:05:00,669 Then your autonomous consumption would be 100. 122 00:05:00,669 --> 00:05:04,927 They would add up to 400. 123 00:05:04,927 --> 00:05:07,869 Once again, this is autonomous and this is induced. 124 00:05:07,869 --> 00:05:16,091 Autonomous, this right over here is induced consumption. 125 00:05:16,091 --> 00:05:17,915 Now, I did write it in general terms. 126 00:05:17,915 --> 00:05:21,208 I'm using variables here instead of, or constants, really 127 00:05:21,208 --> 00:05:25,621 instead of using the numbers we saw in the last example. 128 00:05:25,621 --> 00:05:27,578 But I also said that I would express 129 00:05:27,578 --> 00:05:30,950 aggregate consumption as a function not just 130 00:05:30,950 --> 00:05:33,714 of disposable income but of aggregate income; 131 00:05:33,714 --> 00:05:35,702 not just of aggregate disposable income 132 00:05:35,702 --> 00:05:37,214 but aggregate income. 133 00:05:37,214 --> 00:05:39,383 The relationship is fairly simple between 134 00:05:39,383 --> 00:05:42,131 disposable income and overall income. 135 00:05:42,131 --> 00:05:46,194 We saw over here, in aggregate, you have income, 136 00:05:46,194 --> 00:05:47,979 but the government in most modern economies 137 00:05:47,979 --> 00:05:50,382 takes some fraction of that out for taxes. 138 00:05:50,382 --> 00:05:53,195 What's left over is disposable income. 139 00:05:53,195 --> 00:05:57,004 Just a reminder, income in aggregate, 140 00:05:57,004 --> 00:05:58,540 aggregate income is the same thing as 141 00:05:58,540 --> 00:05:59,625 aggregate expenditures, 142 00:05:59,625 --> 00:06:01,052 which is the same thing as aggregate output. 143 00:06:01,052 --> 00:06:04,382 This right over here is GDP. 144 00:06:04,382 --> 00:06:06,541 So this right over here is, let me do this 145 00:06:06,541 --> 00:06:08,867 in a color, I've used almost all my colors. 146 00:06:08,867 --> 00:06:11,248 This is equal to GDP. 147 00:06:11,248 --> 00:06:14,649 Disposable income is essentially GDP, 148 00:06:14,649 --> 00:06:20,890 or you could say aggregate income, minus taxes. 149 00:06:20,890 --> 00:06:22,947 I'm going to do the taxes in a different color. 150 00:06:22,947 --> 00:06:26,594 Minus taxes. 151 00:06:26,594 --> 00:06:27,987 So we can express disposable income 152 00:06:27,987 --> 00:06:32,120 as aggregate income, this right over here 153 00:06:32,120 --> 00:06:36,873 is the same thing as aggregate income minus taxes. 154 00:06:36,873 --> 00:06:38,992 We could rewrite our whole thing over again. 155 00:06:38,992 --> 00:06:43,801 Aggregate consumption is equal to autonomous consumption 156 00:06:43,801 --> 00:06:46,323 plus the marginal propensity to consume 157 00:06:46,323 --> 00:06:51,739 times aggregate income, which is the same thing 158 00:06:51,739 --> 00:06:58,507 as GDP, times aggregate income minus taxes. 159 00:06:58,507 --> 00:07:01,179 We fully generalized our consumption function 160 00:07:01,179 --> 00:07:04,328 and now we've written it as a function of aggregate income, 161 00:07:04,328 --> 00:07:06,999 not just aggregate disposable income. 162 00:07:06,999 --> 00:07:09,268 To make you comfortable that this is still a line 163 00:07:09,268 --> 00:07:11,945 if we were to plot it as a function 164 00:07:11,945 --> 00:07:14,213 of aggregate income instead of disposable income, 165 00:07:14,213 --> 00:07:16,419 let me manipulate this thing a little bit. 166 00:07:16,419 --> 00:07:19,342 We could distribute c1, which is our 167 00:07:19,342 --> 00:07:21,595 marginal propensity to consume, and we get 168 00:07:21,595 --> 00:07:27,198 aggregate consumption is equal to autonomous consumption 169 00:07:27,198 --> 00:07:28,681 and then we're going to distribute this, 170 00:07:28,681 --> 00:07:31,196 plus c, so we're going to multiply it 171 00:07:31,196 --> 00:07:32,431 times both of these terms, 172 00:07:32,431 --> 00:07:34,599 plus our marginal propensity to consume 173 00:07:34,599 --> 00:07:38,640 times aggregate income, 174 00:07:38,640 --> 00:07:41,883 and then minus our marginal propensity to consume 175 00:07:41,883 --> 00:07:46,799 times our taxes. 176 00:07:46,799 --> 00:07:50,142 Since we want it as a function of aggregate income, 177 00:07:50,142 --> 00:07:52,059 everything else here is really a constant. 178 00:07:52,059 --> 00:07:54,059 We're assuming that those aren't going to change. 179 00:07:54,059 --> 00:07:55,421 Those are constant variables. 180 00:07:55,421 --> 00:07:57,392 What we could do is we could rewrite this 181 00:07:57,392 --> 00:07:59,330 in a form that you're probably familiar with. 182 00:07:59,330 --> 00:08:01,266 Back in algebra class you probably remember 183 00:08:01,266 --> 00:08:07,403 you can write it in the form y=mx+b where 184 00:08:07,403 --> 00:08:09,594 x is the independent variable, 185 00:08:09,594 --> 00:08:11,191 y is the dependent variable. 186 00:08:11,191 --> 00:08:12,256 If you were to plot this, 187 00:08:12,256 --> 00:08:17,899 on the horizontal axis is your x axis, 188 00:08:17,899 --> 00:08:20,350 your vertical axis is your y axis. 189 00:08:20,350 --> 00:08:22,272 This right over here would have a y intercept, 190 00:08:22,272 --> 00:08:26,664 or your vertical axis intercept of b, right over there. 191 00:08:26,664 --> 00:08:29,009 Then it would be a line with slope m. 192 00:08:29,009 --> 00:08:32,730 If you were to take your rise divided by your run, 193 00:08:32,730 --> 00:08:34,409 or how much you move up when you move to the right 194 00:08:34,409 --> 00:08:38,330 a certain amount, that gives you your m. 195 00:08:38,330 --> 00:08:40,138 Slope is equal to m. 196 00:08:40,138 --> 00:08:41,662 The same analogy is here. 197 00:08:41,662 --> 00:08:43,880 We can rewrite this in that form, 198 00:08:43,880 --> 00:08:46,828 where our dependent variable is no longer y. 199 00:08:46,828 --> 00:08:48,956 Our dependent variable is aggregate consumption. 200 00:08:48,956 --> 00:08:53,161 Our independent variable is not x, it is aggregate income. 201 00:08:53,161 --> 00:08:54,602 So let's write it in that form. 202 00:08:54,602 --> 00:08:57,868 We can write it as dependent variable, c, 203 00:08:57,868 --> 00:08:59,471 which we'll plot on the vertical axis, 204 00:08:59,471 --> 00:09:03,367 is equal to the marginal propensity to consume 205 00:09:03,367 --> 00:09:07,354 times aggregate income, 206 00:09:07,354 --> 00:09:08,832 I'll do that purple color, 207 00:09:08,832 --> 00:09:09,933 times aggregate income, 208 00:09:09,933 --> 00:09:15,031 plus autonomous consumption, 209 00:09:15,031 --> 00:09:22,280 minus marginal propensity to consume times taxes. 210 00:09:22,280 --> 00:09:23,838 It looks all complicated, but you just 211 00:09:23,838 --> 00:09:27,082 have to realize that this part right over here, 212 00:09:27,082 --> 00:09:29,612 this is all a constant. 213 00:09:29,612 --> 00:09:34,937 It is analogous to the b if you were to write 214 00:09:34,937 --> 00:09:37,457 things in kind of traditional slope intercept 215 00:09:37,457 --> 00:09:38,934 form right over here. 216 00:09:38,934 --> 00:09:40,790 When we plot the line, if you have no 217 00:09:40,790 --> 00:09:44,437 aggregate income, this is what your 218 00:09:44,437 --> 00:09:45,870 consumption is going to be. 219 00:09:45,870 --> 00:09:48,037 Let me draw that. 220 00:09:48,037 --> 00:09:54,847 Once again, our dependent variable is aggregate consumption. 221 00:09:54,847 --> 00:09:57,190 Our independent variable in this is no longer 222 00:09:57,190 --> 00:09:59,255 disposable income like we did in the last video. 223 00:09:59,255 --> 00:10:04,933 It is now aggregate income. 224 00:10:04,933 --> 00:10:06,734 If there's no aggregate income, 225 00:10:06,734 --> 00:10:08,455 this is the independent variable right over here, 226 00:10:08,455 --> 00:10:09,750 if there's no aggregate income, 227 00:10:09,750 --> 00:10:11,188 then your consumption is just going to be 228 00:10:11,188 --> 00:10:12,926 this value right over here. 229 00:10:12,926 --> 00:10:14,394 So your consumption is just going to be 230 00:10:14,394 --> 00:10:17,147 that value right over there, which is c-nought 231 00:10:17,147 --> 00:10:20,579 minus c1 times t. 232 00:10:20,579 --> 00:10:25,719 Then as you have larger values of 233 00:10:25,719 --> 00:10:28,678 aggregate income, c1, that fraction of it, 234 00:10:28,678 --> 00:10:32,130 is what's going to contribute to the induced consumption. 235 00:10:32,130 --> 00:10:34,517 What you essentially have is this is the slope 236 00:10:34,517 --> 00:10:36,667 of our line, this right over here is our slope. 237 00:10:36,667 --> 00:10:38,503 Just to kind of draw the analogy, 238 00:10:38,503 --> 00:10:42,085 if you were to say y is equal to mx plus b. 239 00:10:42,085 --> 00:10:43,872 Actually, maybe I'll write it like this. 240 00:10:43,872 --> 00:10:49,658 If you were to write c is equal to m ... 241 00:10:49,658 --> 00:10:51,888 and I don't want to confuse you if this m and b 242 00:10:51,888 --> 00:10:53,183 seem completely foreign. 243 00:10:53,183 --> 00:10:55,625 It comes from kind of a traditional algebra 244 00:10:55,625 --> 00:10:58,109 grounding in slope and y intercept. 245 00:10:58,109 --> 00:11:04,919 If I were to say c is equal to my plus b, 246 00:11:04,919 --> 00:11:05,975 this is the slope. 247 00:11:05,975 --> 00:11:10,300 This is our vertical or our dependent variable intercept 248 00:11:10,300 --> 00:11:11,607 right over here. 249 00:11:11,607 --> 00:11:13,568 That's where we intercept the dependent 250 00:11:13,568 --> 00:11:14,805 variable axis. 251 00:11:14,805 --> 00:11:16,084 And this is our slope. 252 00:11:16,084 --> 00:11:18,195 It's our marginal propensity to consume. 253 00:11:18,195 --> 00:11:21,473 Our line will look something like this, 254 00:11:21,473 --> 00:11:25,436 where the slope is equal to the marginal 255 00:11:25,436 --> 00:11:28,672 propensity to consume, which is equal to c1. 256 00:11:28,672 --> 00:11:30,233 If people all of a sudden are more likely 257 00:11:30,233 --> 00:11:32,733 to spend a larger fraction of their income, 258 00:11:32,733 --> 00:11:36,777 then the marginal propensity to consume 259 00:11:36,777 --> 00:11:38,941 would be higher and our slope would be higher. 260 00:11:38,941 --> 00:11:40,363 We would have a line that looks like that. 261 00:11:40,363 --> 00:11:41,934 We always assume that the marginal 262 00:11:41,934 --> 00:11:44,319 propensity to consume will be less than 1. 263 00:11:44,319 --> 00:11:45,942 So we'll never have a slope of 1. 264 00:11:45,942 --> 00:11:47,637 We'll also never have a negative slope 265 00:11:47,637 --> 00:11:49,410 because we assume that this is positive. 266 00:11:49,410 --> 00:11:51,780 If people are more likely to save than consume 267 00:11:51,780 --> 00:11:54,612 when they have extra income, then this line 268 00:11:54,612 --> 00:11:56,101 might look something like that. 269 00:11:56,101 --> 00:11:57,840 It might have a lower slope.