Essay 77: Emerging Markets: Trade Wars Send Manufacturers Scurrying Back Home…

Financial Times Briefing

EMERGING MARKETS

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Trade Wars Send Manufacturers Scurrying Back Home [link]
Economies of China and Germany look exposed as growth shifts

U.S. Companies Stay Cautious on Spending Under Strain of Trade War [link]
Executives signal further pullback in capital expenditure for fourth quarter

Australia: The Campus Fight Over Beijing’s Influence [link]
Clashes between pro- and anti-Hong Kong demonstrators have renewed scrutiny over China’s role in western universities

How To Limit Climate Change: Let the Private Sector Do Its Job [link]
This year’s U.N. climate summit must give business the rulebook it needs

China’s $1tn Scramble for Convertible Bonds Reflects Hot Market [link]
Bidding for new deals including Shanghai Pudong Development Bank stuns investors

Evo Morales Flies to Mexico After Being Granted Political Asylum [link]
Former Bolivian president boards flight as violence erupts following his resignation

Chile’s Stock Market Drops After Proposal To Rewrite Constitution [link]
Investors fear that the move by Sebastián Piñera would undermine the economy

Alibaba Aims To Deliver With $16bn Courier Venture [link]
Chinese ecommerce group follows Amazon in focusing on logistics

Trade Optimism Awaits a Big Test [link]
Mike Mackenzie’s daily analysis of what’s moving global markets

British Co-Founder of White Helmets Found Dead in Istanbul [link]
Investigation launched after body of former army officer James Le Mesurier discovered in street

Essay 58: Machlup and Knowledge-Watching

Fritz Machlup is an underappreciated emigre economist from Vienna. His 1962 book, The Production and Distribution of Knowledge in the United States (Princeton University Press, 1962), is a “bible” of knowledge-watching and the zones where knowledge meets information, where Machlup was very prescient.

Fritz Machlup was an Austrian-American economist who was president of the International Economic Association from 1971–1974.  He was one of the first economists to examine knowledge as an economic resource, and is credited with popularizing the concept of the information/knowledge society.

Born: December 15, 1902, Wiener Neustadt, Austria
Died: January 30, 1983, Princeton, NJ

Machlup distinguishes five types of knowledge:

  1. Practical knowledge
  2. Intellectual knowledge
  3. Small-talk and pastime knowledge
  4. Spiritual knowledge
  5. Unwanted knowledge

These five kinds of knowledge are discussed and analyzed in Machlup’s The Production and Distribution of Knowledge in the United States starting on page 21 (and are discussed in Daniel Bell’s The Coming of Post Industrial Society, 1976, Basic Books, page 175).

The more comfortably one can link types 1, 2, and 4 in the list above, the more “together” one’s understanding might become.  One does not have to be “dismissive” of Type 3.

Pleasant diversions are a a part of life and have their honorable place. One reason (to give a simple example) we’re drawn to poets like Wallace Stevens is that they seem to “sit comfortably” in their various (knowledge) roles: insurance salesman, poet, thinker and don’t “line up” or “array” these types of knowledge in a conflictual way but seem to “smile down” on all of them finding beauty everywhere.

Workaday knowledge might not have to “fight with” other kinds of knowledge. Insurance, say, is a form of risk-management and risk is essential to life and economics, as we have seen elsewhere.  Economics looks at cost-benefitrisk-uncertainty all together when it goes beyond the narrow confines of academe to become a fuller quest.  Cost-benefit analysis by itself is too restrictive.  Start with Machlup as a highly intelligent “backdoor” into these domains of knowledge, information, learning, social contexts.  This would help give you a handy additional “flashlight” on schooling in society including universities and campuses.

Essay 52: Economics Reconsidered to Include Uncertainty

Standard definitions for economics say that it is about “cost-benefit” thinking. Everything costs time or money or effort or lost opportunities but offers different levels of expected benefit.  Economics, in this view, matches decisions to this “menu” of items and prices.

Actually, that is not a complete description at all because economics is about cost-benefitrisk-uncertainty thinking and that implies one needs to get into the dimensions of risk and uncertainty. 

A real decision involves more than costs and benefits but implies all kinds of “how can I be sure?” questions which means risk and uncertainty considerations

World-watching modified in this way is explored at policyuncertainty.com (Kellogg School of Management, Northwestern University)

This implies the need for new indicators such as:

Call for papers:  “Uncertainty and Economic Activity:  Global Perspectives” [PDF]

The extraordinary rise in trade policy uncertainty [archived PDF].

Policy News and Stock Market Volatility [PDF].

They say that practitioners of a field are always like general “fighting the last war” not this one, like the French generals in 1940 who were mentally in 1914. 

One must augment all economics textbook talk in this direction of risk-and-uncertainty without which all analyses are like backward-looking “stills” as opposed to forward-looking “moving pictures.”  All standard textbooks are uninformative on these issues.

Essay 49: Postdicting the 2008 Great Recession: Macro and Finance

Prof. George Akerlof (2001 Nobel) shows how macroeconomics overlooked the issue of financial stability as a pillar. He argues that Rajan’s 2005 paper and talk were uniquely prescient on this.

This is why we find thinking about, say, the Panic of 1873 so instructive especially when one adds an “omnidirectional” analysis: In 1873, we get Around the World in Eighty Days with the transport revolutions that make winning this bet about circling the world in eighty days, at all possible: railroads, steamships, etc.  London is shown to have emerged as the world money center, as described in Walter Bagehot’s classic Lombard Street. The opening line of The Magnificent Ambersons is (in paraphrase):  “The financial crisis of 1873 destroyed the fortunes of most people but made the Ambersons and this was the basis of their magnificence.”

The novel The Age of Innocence by Edith Wharton, set in the 1870s, shows the financial shocks of 1873 as a major player in the story.

Prof. Adam Tooze of Columbia published in 2018 a masterful account of finance and macro and politics relevant to our 2008 fiasco in his Crashed:

Crashed:  How a Decade of Financial Crises Changed the World

Hence Akerlof’s depiction, in the current Journal of Economic Perspectives, of how macroeconomics became separated from financial instability analyses is key:

“The Keynesianneoclassical synthesis that had emerged by the early 1960s put constraints on macroeconomics. Foremost, it divorced macroeconomists from working on financial stability.  Luckily, after the crash of 2008, the prior work of finance economists has been belatedly acknowledged, and the subfield of macro stability has also emerged as quite possibly the most vibrant research frontier in economics.  Nevertheless, macroprudential concerns remain as back matter in the textbooks.  Correspondingly, macroprudential policy is undervalued in the councils of government.  Yet its importance remains, given the likelihood of another crash.”

In this context, little damage could be done by macro models lacking the details of the financial system.  But exclusion of such detail (with the attendant possibility of financial crash) from standard macroeconomics could be a problem in a different context: if the financial system changed in fundamental ways.  That was exactly the topic of Rajan’s (2005) Jackson Hole talk, “Has Financial Development Made the World Riskier?” [PDF] which did predict the crash of 2008 as it actually happened.  In terms of the skeletal model, had that “financial development” beyond a well-supervised banking system with deposit insurance driven the financial system out of the safe region of always hold?  In September 2008, the answer to Rajan’s question became clear: “yes, it had.” 

Journal of Economic Perspectives—Volume 33, Number 4—Fall 2019—Pages 171–186

What They Were Thinking Then: The Consequences for Macroeconomics during the Past 60 Years [PDF] by Prof. George Akerlof.

Essay 48: Bureau of Economic Analysis Materials for Every Student Regardless of Major

We mentioned in a previous essay that an economist receives certain Bureau of Economic Analysis and Bureau of Labor Statistics updates and that allows them to “guesstimate” next year’s GDP growth by adding up average labor productivity growth (Y/L) to labor force growth. Remember Y (GDP) equals Y/L multiplied by L and percentage growth in Y is approximately equal to the sum of the other two variables: Y/L and L.  The sum approximates GDP growth and requires no mental gymnastics with complex mathematics of any kind.  A wise student would learn what’s on offer by these government update services and realize simple familiarity is half the game in everything.  The economics pundits are not ten feet tall.  They simply follow simple materials that the typical student does not have and has no idea that these materials exist.

BEA News:  Gross Domestic Product by Industry, 2nd quarter 2019 and annual update:

“The U.S. Bureau of Economic Analysis (BEA) has issued the following news release today:

“Professional, scientific, and technical services; real estate and rental and leasing; and mining were the leading contributors to the increase in U.S. economic growth in the second quarter of 2019. The private goods‐ and services‐producing industries, as well as the government sector, contributed to the increase.  Overall, 14 of 22 industry groups contributed to the 2.0 percent increase in real GDP in the second quarter.”

The full text of the release [archived PDF] on BEA’s website can be found here

The Bureau of Economic Analysis provides this service to you at no charge.  Visit us on the Web at www.bea.gov.  All you will need is your e-mail address.  If you have questions or need assistance, please e-mail subscribe@bea.gov

Essay 39: Movies as a “Parachute” or Backdoor Into the Field of Economics

Here’s a second example of using movies to “sneak up on” a field such as economics.

Think of the movie, The Treasure of the Sierra Madre, from 1948, a Humphrey Bogart classic:

In 1925, in the Mexican oil-town of Tampico, Fred C. Dobbs (Humphrey Bogart) and Bob Curtin (Tim Holt), two unemployed American drifters, survive by bumming for spare change. They are recruited by an American labor contractor, Pat McCormick (Barton MacLane), as roughnecks to construct oil rigs for $8 a day.  When the project is completed, McCormick skips out without paying the men.

Returning to Tampico, the two vagrants encounter the grizzled prospector Howard (Walter Huston) in a flophouse. The loquacious and penniless ex-miner holds forth on the virtues of gold prospecting and the perils of striking it rich. The two younger men feel the lure of gold and contemplate its risks. Dobbs and Curtin run into McCormick at a cantina, and after a desperate bar fight, they collect their back wages in cash. When Dobbs wins a small jackpot in the lottery, he pools his funds with Curtin and Howard to finance a gold prospecting journey to the Mexican interior.

The flophouse mentioned above (“Oso negro”) has a quick scene which is a marvelous “parachute” into economics:  a group of men begin to reflect on why gold is so expensive while the basics of life like water or air are not.  Howard (their “cracker barrel philosopher-sage,” played by Walter Huston) explains that a thousand men set out to find gold.  999 of the men fail to find any, one finds some.  The price of gold has to reflect the costs of finding it (i.e., men, equipment, time, effort, opportunity costs, risks, danger, etc.) by all thousand and include the 999 failures and not just the one success.  This is an example, albeit primitive, of something like the labor-theory of value explored by Ricardo and then Marx:

Labor theory of value

The labor theory of value (LTV) is a heterodox theory of value that argues that the economic value of a good or service is determined by the total amount of “socially necessary labor” required to produce it. … Marx did not refer to his own theory of value as a “labor theory of value.

Again, using this movie as a charming or enchanting “jumping off place,” you would begin to “dive into” those pages of the textbook that are relevant, much as you’d use a dictionary to look up some words. You then read towards the front and the back of the textbook, coming at it your own way, mindful of these questions of yours which begin to give the field a “shape.” You could do the “standard slog” through the textbook, none of which you remember three days after the course because nothing was based on your own “enchanted” searching and exploring.

Lastly, the author of the original 1927 novel, on which the movie is based, B. Traven was a German anarchist and he may have analyzed the world and its prices and costs (i.e., economics) like Howard in the movie.  This too is itself another “pathway” into economics, a biographical one.

Essay 33: How to Jump From a Field to a Larger Understanding: The Example of Globalization

In a university, one is trained to “inspect” fields. That produces what might be called a “monographic” intelligence.

Our purpose is to show and promote something ancillary to this, what might be called a “circum-spective” intelligence (i.e., using the specialized knowledge as one “brick” in a larger structure of understanding).

Let’s do an example:

Think of all the descriptions and analyses of something called globalization. An objective evaluation of the literature on this show two analyses that stand out and tower above the rest:

  1. Prof. Jeffrey Williamson and Kevin O’Rourke, Globalization and History, MIT, 1999 (this is a “quantitative history” or “cliometric” study and a classic).
  2. Elhanan Helpman, Understanding Global Trade, Harvard, 2011 (a masterpiece of trade-based analysis)

Both of these authors are Harvard professors in economics and deserve the high regard that such books have won them. In these two books, there are several technical disagreements of which the deepest is that Williamson focuses on the emergence of one world market price (say for wheat) and argues that this “price convergence” is the best measure of globalization. Thus at a certain point wheat of a certain kind (hard, durum, etc.) was price at the same world rate whether the wheat came from Kansas, Canada, Argentina or Ukraine. The world is then a global price-making market mechanism. This price convergence then extends to their kinds of prices as globalization processes deepen. Williamson explicitly considers other approaches to globalization such as trade share of GDP as confusing.

Helpman, on the other hand, uses export plus imports/over GDP as his measure, clearly disagreeing with the Williamson approach of prices and not trade shares.

Interestingly, both scholars conclude that something we call globalization begins to “show up in the data” in the 1820s. Thus, Marco Polo-type stories are colorful and “multinational” but have little to do with actual (i.e., data based) globalization as we see it, looking backwards from 2020.

Both of these books are classic works and show the intricacies and utility of the “cliometric” approach (i.e., explaining the past quantitatively, using data from economics).

However, there’s a deep perspectival omission in both works:

As the novels of Balzac (1799-1850) show there begins to “co-evolve” with this globalization story a parallel story of global colonization and empire-building by the European powers. Algeria is seized in 1830 and culminates in the brutal Algerian War of 1954-1962. Without de Gaulle‘s supreme prestige as the savior of France, the French would have gone to a destructive civil war and the defeat in French Indochina at Dien Ben Phu. 1954 almost lead to endless strife based on events on the other side of the world.  Balzac’s novels are often set in the 1820s and mention a deepening involvement of France with North African empire-building.

This culminates in Maupassant’s novel Bel-Ami from 1885, which centers on the inexorable rise of an unethical “manipulation machine,” who returns from North Africa as a penniless soldier and after many twists and turns makes several killings in North Africa in various shady schemes which he gets wind off via his journalism contacts.  In other words, the rise of Western industrial technology (from railroads to cars to planes) conquers the world one way while the European colonial armies conquer the world another way.

The peoples like the Vietnamese and Algerians “see” the world in colonial terms with colonialism backstopped by industrial technology. Their quest for dignity begins with this analysis and not with the analysis which says industry and science are primary and colonialism a footnote.

It is this fundamental clash of historical interpretations on a worldwide scale which bedevils the changing relationship between the West and the non-West and is more profound than the econometric differences between a Prof. Williamson and a Professor Helpman.

By seeing how these layers and stories are “entwined” gives you a deeper and wide-angle vision which one field—economics or cliometrics—can’t offer because it is one brick or building block in a larger story. Fields have to be “opened up” in this way, which is the mission of this book.

Essay 5: How to Sneak Up on a Field With Types of Meta-Intelligence

If you look at a typical economics book and are coming at it with no particular background (e.g., your dad was an economist at the World Bank, say, so you’ve “swum” in this water via your background and dinner table conversations), you will find it “remote” and “foreign.”

What to do? You need to “sneak up” on a field and find a door into it or a window to climb through that brings you inside.

This foreignness and remoteness is true for any field you can think of since unfamiliar fields are disorienting at first. You need a pre-understanding.

Let’s do two simple examples of how one gets a pre-understanding:

During the foreclosure crisis following the Great Recession of 2008 and thereafter, you might have asked yourself about the size in dollars of US residential housing stock to see what it might mean if values declined. You found perhaps that it was surprising difficult to come up with some “ballpark” sense of US housing as you looked through Google and other entries.

Here’s a sample of a kind of made-up workaround that points you in the right direction:

Suppose we say the population of the USA is 320 million at the time, in round figures that are convenient and approximate only.  Assume, for no reason, that all Americans are members of households of four (i.e., families with two parents and two children). This is of course utterly false but serves our “guesstimating” purpose we hope.

If we divide the total population by 4, we get 80 million families. Assume all families live in single-family homes ignoring apartment buildings, multi-family homes and a zillion other forms. Make up a number like 300 thousand dollars per home at the time, based on radio news,  and you will get a national housing stock value of 80 million by 300 thousand which is 24 trillion dollars.

In fact, the official value of U.S. residential housing was usually given at 24-25 trillion so our “sneaking up” guesstimating was not bad at all.

Now ask how one might have perhaps done it better, more cleverly. You have to “back into” a field by something you yourself look into and figure out before you enter the “ocean” of the textbook presentation.

It requires a kind of “sneaking up” on a field with back-of-the-envelope “meta-intelligence” in order for you to attune yourself to the field, or if you want to “parachute” in like a “knowledge spy” and get what you need. This is true for all fields. Some “homemade” familiarity you make up yourself is needed.

How to “Sneak Up” on Academic Fields With Meta-Intelligence

An accepted workhorse of economics is the Cobb-Douglas production function based on two people with the names of Cobb and Douglas.

Your economy produces, say, shirts and to do that you need machines (capital), workers (labor), energy, materials.

Think of 100 women seamstresses at one hundred tables with sewing machines plugged into 100 electrical outlets (energy) and lots of fabric (raw materials for shirt-making).

Capital (e.g., machines, equipment, structures) is denoted by the letter K (from German word Kapital), workers or labor force by L (for labor) and the whole is called KLEM. (capital, labor, energy, materials). The letter A stands for “technology level.”

We simplify and worry only about K and L just to make the math much easier. Remember capital here means machines and not money.

In Cobb-Douglas “world,” the product of your economy, shirts is called Y (we don’t have the shirt prices to keep things easier).

Then Y=A multiplied by K (to the alpha) multiplied by L (to the beta). Alpha and beta are measures of responsiveness, “elasticity,” sensitivity.

Cobb-Douglas is multiplicative (i.e., A by K by L, so the algebra goes easier). A is called “technical change” or technology.

Suppose you don’t know or don’t remember log differentiation (calculus) to easily “play  with” this little equation. That’s ok.

Think of the simple identity z=xy. This could be 10=5 x 2 or 12=4 x 3. You can show that if the left side goes up by 10%, the right must grow by 10 percent so that the 5, say, becomes 5.5. 5.5 x 2 is 11 so both sides are the same again, 11=11. It’s easy to show that the percentage growth on the left side of the equation is roughly the sum of the percentage growth of each of the numbers on the right.

You can easily show that the percentage growth of Y (say 6% per year) is approximately equal to the percentage change of A plus percentage growth of K+ plus that of L with K and L modified by alpha and beta.

This is a simplified version of so-called “Growth accounting” (i.e., components of growth in Y from year to year).

You will find that once you sense how this kind of “accounting” looks and works you can proceed to other kinds of accounting in economics such as Balance of Payments accounting or National Income accounting.

These exercises are key to economics as a field with its textbooks and again you have to sneak into it, so to speak, by climbing through a door or window you made up yourself to give you some bearings.

We call all this a pre-understanding before more usual understanding through textbooks.

Pre-understanding is a deep key or prerequisite to educational mastery.

On a National Public Radio call-in talk show few years ago, there was a discussion by four economists (professors plus private sector analysts). A listener calls in and asks one of them about the growth prospect for the following year. The professor responds: about 2.88 percent. Everybody goes quiet and wonder how he figures this out.

The answer will help you “sneak in” to or “parachute” into this world.

The professor, in his mind, calls the economy Y. He realizes that Y is the same as Y/L multiplied by L, where L is labor force. In Y/L by L the l’s cancel each other out so it’s just a harmless re-write of the basic variable Y.

Y/L is average productivity (e.g., number of shirts [the economy has one product, shirts]) divided by number of workers (laborers, seamstresses making the shirts).

If Y is one hundred and L=10, then the average laborer produced 100/10=10 shirts. ie that’s the average productivity.

The professor knows that approximately the percentage growth of Y (which is what the radio show caller’s question was about) is the sum of the percentage growth of Y/L and L.

He’s familiar with the latest productivity and labor force projections from the electronic newsletters he receives and the websites he checks out (e.g., BEA and the BLS, et al).

He adds them up to get 2.88 percent, the number he mentions to the questioner and the rest of the radio audience.

Once you’re familiar with these simple elements of analysis and sources of info, you can begin to lose your fearfulness and do the same as the professor, who is not solving complex differential equations in his head to answer the question for the listeners.

As a “field outsider,” you’re unfamiliar with the “landscape” and “rules of thumb” and your mind races or wanders when confronted by such a question because you don’t have these simple techniques.

You can thus “parachute” into any field and leave with what you need.