Joe Santos1:26:40
Well, good morning everyone and thanks for this opportunity. I'm going to offer a very quick overview of the South Dakota economy and what I think are some of the interesting challenges and opportunities. I'm going to dive right in, and I'm going to do this within a sort of pedagogical framework of production, then people, and then place, about five minutes a piece. So here we go. To begin with production, I want to just offer you a sense of the GDP landscape if you will. We look at just private industry components. Let's look at green and fire right, and we'll just go very quickly clockwise here. That's finance, insurance, and real estate, of course, and that's the largest segment of private industry in the state. Then very quickly we go up to professional and business services, and education and health, and social assistance, agriculture and mining of course, and then construction, manufacturing, and utilities. Then we go down to wholesale and retail and a few others, but primarily it's about finance, insurance, real estate, manufacturing, construction, healthcare, and agriculture. I want to take a look at the household level and how the household has fared in recent years, and also allow this as a sort of off-ramp to a bit of analysis as well. Here I have per capita personal income for South Dakota. If you pick a date, go up to a line, turn left, that would be the dollar amount per capita, so say $65,000 per capita. I have here not just South Dakota but also the United States. There are a couple of interesting features here, some of which are probably well-traveled territories. The spikes there, of course, that's the pandemic and strong fiscal policies in the form of transfer payments affording households a sort of stronger balance sheet if you will during the pandemic. Then what you see is a sort of leveling off and a return to normal. I want to focus on the very end of that, where the blue and the red lines end. You'll notice the blue is above the red line, so at the moment, per capita personal income in South Dakota registers a value that is greater than the value of per capita income in the United States. That's interesting as it is, but I think this offers us a really interesting analytical off-ramp for what's going on in the labor markets in South Dakota. Allow me just a little bit of detergent analysis here. I want to think about what's going on in per capita personal income. Of course, that's income divided by the population. The really easy way to dismiss what's going on perhaps is this kind of depopulation story, saying it's income divided by people and the state has fewer and fewer people, so that's why income divided by people is relatively high. Of course, that's not the case, and here we can see that. Population growth in South Dakota is greater than population growth in the United States more generally, so that sort of quick dismissive answer isn't going to work. So why else is per capita income above the United States level? Here, a little more analysis if I may. I have just a very simple decomposition. Per capita personal income is on the left; it's income divided by the population. I think of this as being driven by three potential sources, and we'll walk through them very quickly. Either per capita income is rising because income per person is rising, you can think of this as a productivity force if you will, or the employment rate is rising, that's one minus the unemployment rate. So if the unemployment rate is three percent, that ratio is 97, so that could be a driving force behind rising per capita income. Or it could be what I've heard my colleagues talk a lot about in the context of their region so far, the labor force participation rate. Those are the driving forces. It turns out in the case of South Dakota, the reason why per capita income is relatively high really comes down to those latter two forces. It's essentially a high employment rate and a high labor force participation rate that is essentially supporting per capita income in the state. Let me show you this. I'm going to just show you a quick picture of those employment rates both for South Dakota and the region, and then a quick picture of that labor force participation rate against South Dakota and the region. Here are the employment rates. Again, pick a date, go up to the blue line, turn left, maybe you see 95. That would mean that you have a five percent unemployment rate and so a 95 employment rate. For South Dakota, we have a very low unemployment rate. We can continue to have a very low unemployment rate, and that's one of the reasons why per capita income is as high as it is. The other is really sort of an outline feature, and that is for South Dakota, labor force participation rate remains not only above the United States labor force participation rate, that is the blue line above the red line, but the blue line isn't experiencing the sort of downward pitch if you will that it is in so many other places in the country. So our labor force participation rate is high and it's sort of persistently high. So that's it. We have relatively strong per capita income in the state because in some sort of loose way, we're sort of working a lot, right, in terms of employment rates and labor force participation rates. I'll just show you this numerically. In other words, 66 is bigger than 65. I'm looking at the per capita income levels there. 66 is bigger than 65 because 98 is bigger than 96 and 69 is bigger than 62. Those are the driving forces behind what right now is a relatively high per capita income. Having said that, though, of course, this is all happening while the purchasing power of money is falling. We have an inflation problem as we all know, and so no matter, per capita income in real terms is not performing in the way any household would like. Here I just direct your attention to the very right of the screen, and you've got a blue line and a red line that seems to be converging, but in a way that we would rather not converge. That is, both for the United States and for the state of South Dakota, real personal income, what that personal income buys, is essentially stagnated. The growth in real personal income is hovering around zero. That's just very simple: income is rising in nominal terms, more money per household, but so too are prices rising, and so stuff per household is flat. Now, people. Here what I'm thinking about is a bit of a decomposition of the labor market in South Dakota and sort of where the bodies are in terms of employees. I'm going to put a lot on this chart, but I first want to explain what will be on this chart. I have one sector up here right now, the government sector. What's going on here is I'm showing you not the number of people employed in the government sector, but rather the number of people employed relative to the number right before the pandemic. So if you pick a date, go up, turn left, and let's say you hit the number one, the way to use one in a sentence is that for that date, there is precisely the same number of employees in the government sector as there were just prior to the pandemic. So that's the government sector. Now I'm going to make this picture a mess by bringing up a bunch of others. We see all different sorts of behaviors. I'm going to clean this up very quickly. I think I see a sort of pattern here, so I'm going to share with you what I think the pattern is. In two of these sectors, we notice in construction and professional and business services in the state, the number of employees in those industries has been rising again relative to the number just before the pandemic. But that's not the case in several other industries where we see this sort of flatlining. You saw it a moment ago with government, but you see it with other sectors now as well, finance and manufacturing and information technology and so forth. So it's an interesting variation in the labor market where these markets are tight, but the number of employees going into one sector or the other is not homogeneous. There's variation there. The other bit of this in terms of people is basically their wage. Here I have a very imperfect measure of wage, something we refer to as average hourly earnings. Again, here I'm just putting one up for you for a moment. This is leisure and hospitality, just so I can explain what we're looking at. Again, pick a date, go up to the green line, turn left, and I don't know, maybe you hit a number like seven. The way to use that in a sentence is to say that the wage rate in the leisure and hospitality industry rose year over year by seven percent. We've seen growth in the wage rate in leisure and hospitality. This has been going on in other industries as well. Now I'm going to add a whole bunch of other lines, and it's going to be a complete mess. We've got this sort of war shot test. What do we see? Well, I actually think I do see something. Toward the end of this mess on the right side, these lines are sort of diverging. Let me just emphasize this divergence. Some of them are sort of hovering around that five to ten percent range, but some of them are not. In particular, professional and business services wages in that industry and education and health services wages in that industry seem to be slowing. This is interesting from two perspectives. One, it's just interesting that we see this sort of bifurcation and that stuff is happening in the labor market that reveals some variation. That's just an interesting story. But the other reason I think this is interesting is from the perspective of a macro economist. This to me suggests that perhaps the inflation problem is fading a little bit. What I mean by this is this picture reveals that the purchasing power of money is falling, but that fall is not independent of what money is buying. If you buy education and health care services, you get more for your money than if you buy mining and construction services, where you get less for your money. That's a sort of microeconomic variation that is becoming apparent in figures like this that I reason could suggest that this sort of general problem of a depletion of the purchasing power of money may be fading. Finally, place. In the last few minutes here, I'm thinking about land and real estate because in South Dakota, this has been perhaps one of the greatest pain points. I want to start just with a little academic reference. There's been quite a bit of work on this suggesting, and here most recently in the American Economic Journal, that when you have expansionary monetary policy as we certainly did until recently, you tend to also see home price appreciation. It's a fairly reliable relationship. Interest rates are low, they're not now but they were, interest rates are low, house prices are high. These folks do a little bit of work to demonstrate that according to their data set, and the data set includes a little bit of the Ninth District, you see this sort of price appreciation in home values when the central bank lowers interest rates. The white space doesn't mean that the phenomenon doesn't exist there; the white space just means the authors didn't have data for those areas. But the point is there is this relationship, and I would argue that I think we're seeing that relationship play out in South Dakota as well, and in a way that is disproportionately greater than we're seeing the relationship play out in the nation. Let me show you what I mean. Here's a home price index both for South Dakota and the United States. Here it screams homogeneity. We look just like the nation according to this home price index. Prices for homes have risen substantially, but they've done so in the United States, they've also done so in South Dakota. It's a sort of nothing interesting to see here except for the large spike. Incidentally, using these same data and going back to the housing bubble of 2007, however you want to date it, you do not see a spike this high according to these data. If we break this up though and sort of look at just the state of South Dakota, now we see something very interesting. If we just map out average list prices for homes, the darker the green, the more the jump in average list prices for homes over this year, a year ago today to now. You see South Dakota, and it's indeed a lot of the Ninth District is in a darker green tone, suggesting that this home price appreciation is not homogeneous across the country. Otherwise, the picture would have the same color throughout the map, but rather there's quite a bit of variation, and the intensity of price appreciation resides to some extent in the Ninth District. One more. These are averages though, so someone is listening thinking, well that's because there's some big home being built in the Black Hills of South Dakota and it's bringing up the average. So I'm now just going to flip this and go to median, which of course is indifferent to outliers like that. Again, South Dakota is dark green. So very quickly, flip back and forth a little bit of animation here. That's average, that's median. In either case, South Dakota is in one of the darker green segments of the map, suggesting that this price appreciation is affecting us in ways that it's not necessarily affecting the rest of the country. I can say if there's one sort of pain point or challenge, it's this one. This is what folks seem to be talking most about. This also goes for agricultural land values. In the interest of time, I stuck with the residential housing stock, but this appreciation in general is something that folks are dealing with in the state. I think my time is up, so I'll stop there. Thank you very much for your attention.