This podcast episode was originally posted on February 17th, 2017.
Petersen: You’re listening to Economics Detective Radio. Before we start let me give a quick disclaimer that although today’s guest is a politician this show is nonpartisan and doesn’t endorse any particular candidate for office. My guest and I are also Canadian so we’ll be talking about some Canada-specific issues. I know I have an international audience but sometimes it’s fun to learn about what’s going on in other countries. So I hope you’ll listen nonetheless. And now on to the episode.
My guest today is Maxime Bernier, he is the Member of Parliament for Beauce, Quebec and a contender for the Conservative Party leadership race. Maxime, welcome to Economics Detective Radio.
Bernier: Thank you very much for having me.
Petersen: So, our topic today will be Canada’s economy and its economic policy. There’s a lot to get to on this topic but let’s start with the positive. The Fraser Institute’s Economic Freedom of the World Index ranks Canada as the fifth freest country in the world, actually tied for fifth. We’re well ahead of our neighbors, the Americans, who come in at number 16. So, to start our discussion, Maxime, what is Canada doing right with respect to its economic policy?
Bernier: First of all, I think that this was the ranking that the Fraser Institute did a year ago, if I remember very well, and at that time we had a balanced budget when we were in government and also we were successful in lowering taxes for every Canadian. And I think that’s a key when you speak about more freedom you must also have less government and a limited government in Ottawa. And I think that was the goal of the Conservative government when we were in government.
And also we have a lot of free trade. That’s very important. We signed free-trade agreements with I think, if my memory is good, 45 countries. So, when you have more free trade like that, Canadians are able to buy goods from every country and they are able to also export products. So, that’s helping also.
More free trade, less government, lower taxes and I think that’s a big reason why we are there now.
Petersen: Yeah, there’s a pretty general economic freedom, and you mentioned that that ranking came out last year and we have had a change of government recently so let’s see if we can keep our high position.
But let’s move on to some specific areas where we’re not so free. Let’s start with telecommunications. Canadians have some of the most expensive cell phone bills in the world. You personally did some work in deregulating the telecommunications sector when you were Industry Minister in 2006-2007. Can you talk a little bit about the changes that happened then and where we are now?
Bernie
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https://www.youtube.com/watch?v=A0KiNTFDwiA
http://economicsdetective.com/
Suppose we have an economy with only two people and two commodities. Maybe they're living on an otherwise deserted island somewhere, and they can spend their time either picking bananas or catching fish.
The first person, let's call her Jane, can pick 100 bananas if she spends 100% of her week picking bananas, or she can catch 50 fish if she spends 100% of her week fishing. She can also choose to spend part of her time catching fish and part of her time picking bananas. If we graph all the possible combinations of bananas and fish she could get, we get her feasible set.
The second person on the island, let's call him Gilberto-Rahoule, has different skills from Jane. He can pick 50 bananas if he spends 100% of his week picking bananas, or he can catch 100 fish if he spends 100% of his week catching fish.
Since Jane is better at picking bananas and Gilberto-Rahoule is better at catching fish, they can each be better off if they specialize in what they're good at, and trade for what they're not. For example, if Jane picks 100 bananas and Gilberto-Rahoule catches 100 fish, and they trade 50 bananas for 50 fish, they'll each have more than they could have got alone. 50 bananas and 50 fish is outside both individuals' feasible sets, and yet they can achieve it through trade.
Let's say Jane hurts her leg, and has to spend half her time resting it. Now her feasible set has shrunk, so she can pick at most 50 bananas and catch at most 25 fish. Now Jane isn't any better than Gilberto-Rahoule at picking bananas. Can Jane and Gilberto-Rahoule still have gains from trade? Yes, they can.
What matters is not whether either of them has an absolute advantage in fishing or banana picking, but whether they have a relative advantage. Jane would still have to sacrifice 2 bananas to catch one fish herself, and Gilberto-Rahoule would still have to sacrifice 2 fish to pick one banana himself, so trading one banana for one fish is still beneficial to both.
In this simple economy, trade allowed each person to consume a little more than they could have alone. In a bigger economy with more people and more commodities to trade, the benefits are many hundreds of times larger.
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https://www.youtube.com/watch?v=L90IsEykPfU
In January of 2016, the city of Seattle raised its minimum wage from 11 dollars an hour to 13 dollars an hour for many businesses. This was part of a phase-in for a 15 dollar minimum wage that activists had been fighting for for years. You might have heard this story, but what you may not realize is that this change produced one of the most dramatic reversals of an established scientific literature in modern history.
Let's start at the beginning. For a long time, economists have had a theory that minimum wage laws create unemployment by incentivizing employers to economize on low-skilled labour. But in 1992, two economists, David Card and Alan Krueger, came up with a clever new way to test this theory. They looked at New Jersey's minimum wage increase in 1992 from $4.25 to $5.05 per hour, and compared employment in fast food restaurants in New Jersey to employment in similar fast food restaurants in nearby Pennsylvania, which didn't raise its minimum wage.
They chose to look at fast food because the fast food industry has a high concentration of low-wage workers, and because they expected fast food restaurants to have a high response rate to their telephone survey.
What they found surprised both them and the economics profession as a whole. Card and Krueger found no evidence of disemployment effects in the New Jersey fast food restaurants they studied. Their study was released in 1994, and over the following two decades, economists produced hundreds of studies with similar results: minimum wage increases seemed to have no impact on employment. These studies tended to focus on the restaurant industry, because of its high concentration of low-wage workers, and on teen workers, many of whom work at or close to the minimum wage.
This research shifted economists' views to be more friendly towards minimum wage increases, and it gave fuel to labour activists who wanted even higher minimum wages. After the financial crisis of 2008, this crystalized into the "Fight for $15" movement, which demanded that all businesses should pay their workers a minimum of $15 per hour.
The city of Seattle was one of the first to adopt this as a policy, and began their phase-in with an increase to $11 for large businesses in April 2015 and $13 for many of those businesses in January of 2016. The city government was confident that their policy would work out for the best, so they commissioned a study by a non-partisan group at the University of Washington to measure the effects of the change.
Importantly, unlike Card and Krueger and many other researchers since them, the researchers at the University of Washington didn't have to use restaurant workers or teenagers as a proxy for low-wage workers. That's because they had access to data from the State of Washington's Employment S
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https://www.youtube.com/watch?v=Cfi8r0WnwoE
Originally released on September 1, 2018.
Today’s guest is Peter Boettke of George Mason University and we’re discussing his recent book in the Great Thinkers in Economics series: F. A. Hayek: Economics, Political Economy and Social Philosophy.
This book explores the life and work of Austrian-British economist, political economist, and social philosopher, Friedrich Hayek. Set within a context of the recent financial crisis, alongside the renewed interest in Hayek and the Hayek-Keynes debate, the book introduces the main themes of Hayek’s thought.
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https://www.youtube.com/watch?v=f8D7nIV0RFY
http://economicsdetective.com/
Let's talk about firms. A firm is an agent that converts capital and labour into products to sell. It then collects the residual between the cash value of the goods it sells and the cost of the inputs.
Firms act to maximize their profits. For most of history profits were referred to as "overcharge". Merchants were seen as simply stealing from everyone else when they earned a profit. Adam Smith was the first to articulate the social value of profits, realizing that profits lead merchants to use resources and knowledge in an efficient way, which helps rather than hurts consumers.
So, let's talk about profit. If I spend $1000 on my business and after 1 year I've made $1000, what is my total profit? If you said zero, you're wrong. If this were an accounting video you'd be right, but it's an economics video so you're wrong. In economics, the cost of something is the alternative forgone, and I could have invested my $1000 in a savings account, so my profit is actually negative. If I would have earned $50 as interest in my savings account, my profit is negative $50.
That brings me to another point, that profits can be positive or negative and often are negative. If a firm spends $1000 to produce 100 widgets, and the price of widgets falls to $1, then that firm is going to lose money and earn negative profit.
Now let's talk math. Let's say we have a firm producing airplanes. To do that, it needs inputs, in this case capital and labour. We can graph those.
Then we say that the firm produces according to some production function. Just like with utility we're going to take a level set of the production function to show all the amounts of capital and labour it takes to make a certain number of airplanes, say 3 of them. This level set is called an isoquant.
Now let's say capital costs $10 per unit, and labour costs $20 per unit, and say our firm is going to spend $1000 on production. The firm can buy at most 100 units of capital and 50 units of labour. We can graph these two points, and connect them with a line to show every combination of capital and labour that can be purchased for $1000.
As you can see, there is one place where the line intersects with our isoquant. That means that at that point, the firm is spending $1000 to produce 3 airplanes, they're buying 50 units of capital and 25 units of labour. We have here the beginnings of a supply model.
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https://www.youtube.com/watch?v=SiISS6I1Rr8
This podcast episode was originally posted on September 19th, 2014. The original show notes follow.
In this episode, Nathan Smith discusses the economics and history of migration and migration restrictions. Nathan is an Assistant Professor of Business Administration: Finance and Economics at Fresno Pacific University and regular blogger at Open Borders: The Case.
We start the episode by discussing the economic impacts of Nathan’s own migration to Fresno. Students gain, as he adds to the supply of economics professors, other economists might lose from his competition in labour markets, people looking for parking near the University might lose, as he slightly reduces the supply of available parking spaces, and property owners gain from his demand for housing. In general, anyone Nathan transacts with gains from the transaction, while those who he competes with may suffer some slight loss.
The big slogan among open borders advocates is that a significant reduction in migration restrictions could “double world GDP.” Nathan’s own most recent estimates show about a 91% increase world GDP, mainly because people would move from places where they can earn very little (e.g. places with dysfunctional institutions) to places where they can earn quite a bit more (e.g. places with well-functioning institutions, complementary factors of production, highly developed networks of specialization and exchange, etc.). There are complementarities between human capital and unskilled labour. For instance, great managers are more productive when there are many workers to manage, and the workers are more productive where there are great managers.
Nathan’s estimates indicate that as much as 44% of the world’s population could migrate under open borders. This may seem high, but even conservative estimates would put the number of migrants in the billions. While migration would be hard for the first few migrants, diaspora effects would start to make the process smoother and more desirable. In the 19th century, when international migration was less restricted and more common, migrants would form communities within their new countries: there would be a Polish neighbourhood, an Irish neighbourhood, an Italian neighbourhood, etc. These diaspora communities would function as gateways to the new culture, giving people a place to settle while they adjusted to the language and culture of their new country.
Today, with the exception of migration within the EU, there are no countries with open borders. While migration is somewhat easier for high-skilled workers, there are still many barriers. People call high-skilled migration “brain drain,” but that is really a perverse way of characterizing it. Are workers’ “brains” their countries’ property? Are they to be k
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https://www.youtube.com/watch?v=ZIYStF0w7Yk
This podcast episode was originally posted on June 16th, 2017.
My guest on this episode is Kevin B. Grier of the University of Oklahoma.
Our topic for today is a paper Kevin wrote on the economic consequences of Hugo Chavez along with coauthor Norman Maynard.
I had Francisco Toro on the show last year to discuss Venezuela’s economic history, so you can listen to that episode if you want a refresher on Chavez. For this episode, our main topic is the empirical method Kevin used to quantify Chavez’ effect on Venezuela: synthetic control.
Synthetic control is a relatively new empirical technique. It grew out of an older technique called difference in differences (or diff-in-diff). Diff-in-diff is simple and intuitive: Given two statistics with parallel trends, we can compare their changes before and after some intervention affecting only one of them to see the effect of the intervention. So for instance, if you wanted to know the effect of Hugo Chavez’ rise to power, you could compare the GDP trend in Venezuela to the same trend in Columbia. Then assuming Venezuela and Columbia would have had similar trends if not for Chavez, we say the difference between the GDP growth in the two countries is attributable to Chavez.
But what if Venezuela and Columbia don’t have similar trends? What if there’s no national economy similar enough to Venezuela’s to provide a valid comparison? That’s where synthetic control comes in. Venezuela might not be like Columbia, but it might be like a weighted average of Argentina, Iran, and several other countries. We could construct this weighted average and call it a synthetic Venezuela; it is designed to mimic the dynamics of Venezuela’s economy before the rise of Chavez. Then if the synthetic Venezuela deviates from the real Venezuela after the rise of Chavez, we can attribute that difference to his policies.
This is what Kevin has done to study the impact of Hugo Chavez on Venezuela. Listen to the episode to find out his results!
http://economicsdetective.com/2017/06/synthetic-control-impact-hugo-chavez-kevin-b-grier/
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https://www.youtube.com/watch?v=puZvQPudk6E
Originally published on August 25th, 2017.
Sam Hammond discusses how brands like Pepsi and Subaru promoted acceptance of marginalized groups by targeting them with their products.
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https://www.youtube.com/watch?v=PqCXweihr_U
This podcast episode was originally posted on January 29th, 2017.
Petersen: My guest today is Gret Glyer, he is the creator of a new app called DonorSee. Gret, welcome to Economics Detective Radio.
Glyer: Thank you for having me, Garrett. How are you?
Petersen: I am great! So, DonorSee is a charitable giving app with a very interesting twist which—we’ll get to the app itself in a little bit—but first let’s start with some background. Tell us a little bit about yourself and how you got involved with the nonprofit sector.
Glyer: Sure. So, I graduated from college in 2012 and immediately started working at a rental car company and did that for about a year and did really well. And I was promoted very quickly and I was told by upper management I was going to skyrocket through the ranks and that whole idea of being very successful having six or seven figure income, getting a company car, that kind of stuff, was just a depressing thought to me because I didn’t want to wake up in twenty years and be really good at renting cars to people.
So I started looking at a bunch of different ways to find something more fulfilling, more around doing work that I cared about and I decided to go overseas for a year and I found an opportunity to go to Malawi, Africa. So I went over there, I spent a year as a math teacher and I really loved being over there. Teaching math wasn’t exactly my vocation in life but being in a very impoverished area and being a part of helping those people, that was something that I found a lot of fulfillment and gratification in. So I spent another two years out there and then I came and I was out there, I did a whole bunch of different crowdfunding stuff and I got involved.
I started a charity and a few other things and then when I came back—about six months ago—that’s when I started this new company DonorSee. It’s kind of in the nonprofit sector, but I’ve also been telling people it’s kind of like the anti-charity. There are so many negative connotations associated with what charity is, and how people understand it, and how effective it is, and how much they waste money that I almost don’t want to be associated with non-profits or with charities, I’d almost rather be considered like the opposite end of the spectrum. So, in some ways it is in the nonprofit sector in some ways it’s the farthest thing from it.
Petersen: Yeah, well I’m hesitant to describe it as the Tinder of charity but it’s almost like that. So, you’re not a tech person, you’re not a computer programmer but you come from, well not charity, but from the helping others in poor countries angle. How did you get to this point where you can start a tech startup?
Glyer: Yes. So, basically, you can do anything you want as long as you have t
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https://www.youtube.com/watch?v=3jUWDigpFP4