Sridhar Vembu Profile picture
Sep 7 6 tweets 2 min read
1/ I talk about the toy models of macro economists. Here is an illustration. This toy model of inflation vs unemployment does not capture demographics, does not capture the effect of foreign trade on inflation (US inflation was kept low for decades by China suppressing wages)...
2/ ... and many more such parameters that influence inflation. Krugman himself failed to see "supply chain constraints" as a parameter (not part of his toy model!) so missed the 2021-22 inflationary surge.

You can draw dangerously wrong conclusions with these toy models.
3/ The global financial crisis of 2008-9 was a classic case where mainstream macro failed. Another example: decades of low Japanese inflation meant that macro economists totally ignored extremely high debt combined with very poor demographics, which operate in a feedback loop.
4/ Krugman made his famous policy prescription to Japan to print like crazy to escape deflation, and he completely ignored the rising debt. This only made Japan's structural debt-demographics problem worse.

These toy models come with ample doses of prestige-driven arrogance.
5/ We tend to look at the prestige of big name universities and econ Nobel Prizes (yes, not a "real one" but prestigious all the same) and think academic macro economists are doing something profound and important to the world.

I say the discipline is mostly useless.
6/ Macro needs a new foundation. I believe that the notion of conservation laws (known as "accounting identities" in economics) where things must balance is a critical part of the foundation. Symmetry of capability is another key notion.

And we must ignore prestige.
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More from @svembu

Aug 29
1/ NYT has the story of a teenager who was prescribed 10 psychiatric drugs and how this practice has become widespread.

Doctors became protocol pushers, giving up common sense & clinical judgment and that is the outcome of the "evidence-based" religion.
nytimes.com/2022/08/27/hea…
2/ In medicine, the dogma of "evidence-based" parallels the similar dogma of "data-driven" management in the business world. Both dogmas ultimately arise from the metrics obsession where metrics become targets, and that goes back to the dogma of logical positivism in philosophy.
3/ Logical positivism has a cousin in dialectical materialism, the philosophical underpinning of communism.

That is why I say that the Harvard Business School, the home of the measure & manage dogma, is the cousin of the Soviet Communist Party and both will achieve the same end.
Read 4 tweets
May 30
1/ As a critic of Prof Panagariya's free trade theory for development, I will present the opposing case here.

My critique has 3 parts:
a) debt driven trade is not free trade
b) technology & production know-how are not tradable
c) cross-border migration

Lets start with debt.
2/ The present regime of "free trade" is more accurately described as "trade that causes extreme debt imbalances due to infinitely stretchable monetary instruments".

In no sane monetary regime would Sri Lanka have been able to accumulate over $50 billion of net foreign debt.
3/ Sri Lanka's debt is totally out of proportion to its annual exports of about $1.1 B, which means prospects of repayment are very bleak.

The question is how did Sri Lanka get into such a deep hole in the first place? Our regime of debt-driven trade dressed up as "free trade".
Read 10 tweets
May 29
1/ India trade stats FY 2022.

Exports to US: $76.11 B
Imports from US: $43.31 B
Surplus: $32.8 B

Exports to China: $21.25 B
Imports from China $94.16 B Deficit: $72.91 billion

As a poorer nation than China, we should not import so much of household goods from them. Balance.
2/ There is a deeper structural issue in the composition of our trade. Broadly speaking, we export software & services to the US and import manufactured goods from China.

This leads to Indian talent going to software and not manufacturing "because that is where the money($) is".
3/ The talent drain away from manufacturing makes our manufacturing more uncompetitive & also leads to fewer factory jobs in manufacturing. Our vast rural labour has no alternative to agriculture which depresses rural wages. Together these increase domestic inequality further.
Read 4 tweets
May 11
1/ An important part of woke indoctrination in elite universities as it pertains to India is to understand that India's very existence poses a challenge to the Marxist/materialist world-view that sees itself as the One True Way.

India is a weird pagan relic in this view.
2/ As long as India stayed poor - first due to colonialism and later due to socialism - it was only a charity case ("basket case"), to be rescued with money and evangelism. Crucially Indians could not have intellectual or moral agency.

Well, India is no longer a basket case.
3/ That poses a serious intellectual problem for both the Marxist/materialists and the "civilize the savages" crowd.

How can this pagan relic, worshipping elephants and monkeys and snakes and other weird forms, produce first rate thought?

Consider the issue of gay marriage.
Read 8 tweets
May 9
1/ China, "the factory for the world", faces a grim job market, while the US, massive net importer and consumer, has a booming job market.

I will explore this in this thread.

How can a country export so much and still have an employment problem?
2/ Chinese economy is structurally distorted towards

a) running a massive trade surplus

b) which is achieved by keeping wages, consumption and imports lower than what productivity warrants

c) with the resulting savings fueling debt driven real estate & infrastructure spending.
3/ The factors a, b, c above also feed into each other and hence reinforce each other which is why it becomes
"structural distortion", by which I mean that this pattern is very hard to reverse, as @michaelxpettis often points out.

Consider debt fueled real estate spending.
Read 9 tweets
Mar 30
1/ Most of us in business are "trend following" in the sense that we implicitly project the immediate past forward. If we grew 30% for the past 2 years, we project 30% growth forward. We are usually right, except when we are not.

Let us explore this.
2/ Trends exhaust themselves. As an example, the movement of software to the cloud is a major trend and one day that trend will exhaust itself. That is when growth slows.

Late entrants are the most vulnerable to trend exhaustion because they projected the growth trend forward.
3/ Over-clouding, sorry over-crowding 🤣 is the next big reason projections go bad. Too many people jump in to a sector believing that the growth trend will continue and even an otherwise healthy market gets over-crowded and that impacts company performance.
Read 6 tweets

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