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Lessons from monetary history: The quality-quantity pendulum

from Asad Zaman and WEA Pedological Blog

In the previous section, we saw how economic theories changed from classical to Keynesian to Monetarist over the course of the 20th century. These changes were driven by historical events. Taking this historical context into account deepens our understanding of economic theories. This contrasts with conventional methodology of economic textbooks, which treats economic theories as scientific laws, which are universally applicable to all societies. In this section, we describe one of the central lessons which emerges from the study of money over the millennia.

The Battle of Methodologies (Methodenstreit)

In the realm of economic ideas, prevailing theories often align with the interests of powerful classes rather than the pursuit of truth. The late 19th Century witnessed the emergence of a supposedly “scientific” methodology, relying heavily on quantification, data, and mathematics, challenging the traditionally dominant historical and qualitative approach in economics.

By the 1920s, this so-called “scientific” approach triumphed, overshadowing and eventually abandoning the traditional qualitative method. This shift, which deprived economists of deep insights available from history, led to significant loss of understanding.

How to Learn Lessons from History?

Given that historical events are unique, learning from them poses a challenge. However, the process involves a learning-by-doing approach. The study of history aims to identify recurring patterns over time, isolating key elements leading to such recurrences. This allows us to forming hypotheses about the reasons for such recurrence. Evidence for and against such hypotheses can be provided, but conclusive proofs are not available in the historical method.

One example of a recurrent pattern is provided by Glyn Davies’ examination of millennia of monetary history: the quality-quantity pendulum. This video-talk aims to elucidate this pattern and explore the reasons for its recurrence.

Benefits of Studying History

Economic theories are inherently intertwined with specific societal contexts and cannot be fully comprehended in isolation from historical circumstances. A diverse array of monetary experiments, both successful and unsuccessful, has been conducted over time, offering valuable lessons for contemporary policymakers. Ignorance of historical insights can lead to the repetition of critical errors.

For instance, a deeper knowledge of history could have steered policymakers away from misguided policies during the Great Depression. Also, some lessons, especially those related to the Quality-Quantity Pendulum, only emerge from a long-term study of history, eluding perception in the short run.

The Nature of Money

Money, or its absence, has been a central force shaping historical events. Beyond a mere transactional tool, money involves strong psychological and social elements. Institutional mechanisms for money operate by instilling confidence and fostering social consensus on its value.

One of the easiest ways to create confidence, and a high-quality money, is to use actual gold: the value of the coin is exactly equal to the gold content of the coin. This approach has often been tried, and its limitations have often been rediscovered. Briefly, gold’s availability and quantity are often mismatched with the needs of a dynamic monetary economy.

The Problem with Gold: Not Matched to Needs of a Monetary Economy

In a monetary economy, production requires money. Producers must incur expenses, buying inputs, labor, renting land or machines first. Production comes later, followed by sales which should recoup the initial expenses, and provide profits. Without money, production would not take place, leading to economic recessions.  Excessive amounts of money can result in inflation. The quantity of gold, being beyond government control, has historically led to economic challenges such as recessions, depressions, and inflations.

Token Money

Efforts to create a stable and high-quality money, essential for economic prosperity, often involved the use of gold. However, gold’s limitations prompted the introduction of token currencies. Governments minted coins, providing official guarantees of quality and quantity.

Minting coins offered advantages such as government control over the money supply, supplementation through gold imports, and the flexibility to use debasement to increase money supply when needed, albeit at the cost of lowering its quality.

The Quality-Quantity Pendulum

The existence of a high-quality money, stable and beneficial for foreign trade, spurred economic prosperity and was often imitated by neighboring societies. However, the temptation to abuse this stability, in order to address emergencies, such as wars, would lead to excessive money creation (quantity). This, in turn, caused a breakdown of trust, resulting in high inflation and an unstable value of money.

Excessive quantity of money erodes public confidence, disrupting the institutional mechanisms that create its value. This causes economic distress to all. Efforts are then made to create high-quality money by restricting quantity and imposing constraints on money creation.

Lessons from History Not Found in Textbooks

The quality-quantity pattern is only discernible over centuries, challenging the perspectives of short-term thinkers. The historical battles between Quantity Theorists and Real Bills Doctrine, Bullionists and anti-Bullionists, Banking versus Currency schools, Monetarists versus Keynesians, and Minsky’s Financial Fragility versus Real Business Cycles are all replays of the Quantity-Quality battle.

Failure to grasp this perspective often leads to dogmatic adherence to one of the two poles. At any one point of time, the choice between the two poles seems clear and obvious. With a high quality money in hand, the arguments for a modest expansion of money are overwhelming. This brings great benefits to all. Also, when the value of money becomes unstable due to excessive quantities, the advantages of restricting production, and creating high quality money, also appear obvious to all.

Equilibrium is an illusion

The monetary pendulum is in perpetual motion, never at rest. Achieving high-quality money, paradoxically, creates the irresistible temptation to create more money, destabilizing the very equilibrium created by it.

Social Aspects of Money

Money is not neutral, neither in the short nor the long run. The psycho-social aspects of money, including confidence in institutional mechanisms, are central to its functioning. Historical events, such as rumors sparking a run on banks or the stabilizing impact of Mario Draghi’s resolute statement, highlight the non-neutral nature of money. These lessons stand in contrast to conventional textbook monetary economics.

In conclusion, the study of monetary history, with a focus on the quality-quantity pendulum, offers deep insights into the dynamic nature of economic systems. The lessons derived from this historical perspective challenge and enrich our understanding of monetary economics far beyond traditional textbook paradigms.

  1. February 8, 2024 at 1:24 pm

    While there is nothing wrong in the above text, I did revise it a bit after feedback on this original draft. The updated version, available on the WEA Pedagogy blog, clarifies some obscurities, and adds some material. But there are no major differences. See: https://weapedagogy.wordpress.com/2024/02/06/lessons-from-monetary-history-the-quality-quantity-pendulum/

  2. yoshinorishiozawa
    February 9, 2024 at 3:53 pm

    Glyn Davies’s book A History of Money from Ancient Times to the Present Day and his Quality-Quantity Pendulum thesis seem interesting. I ordered it as I could find a cheep second-hand book. As it is a thick book of more than 700 pages, I am not sure if I can read it through soon. It has a good chance to be another tsundoku book.

    I cannot and should not make comment on the Quality-Quantity Pendulum thesis. However, I cannot agree with Zaman on his comments on The Battle of Methodologies (Methodenstreit).

    (1) Citation 1: prevailing theories often align with the interests of powerful classes rather than the pursuit of truth. 

    I do not deny that there is a clear tendency that economic theories are often used to rationalize the interest and policies that is convenient for powerful and rich classes. However, it is dangerous to judge an economic theory by a criterion to whom it serves. This kind of phraseology has been repeated by old Marxists who often accused neoclassical economics because it serves for the profit of the bourgeoisie or capitalist class.

    If the accusation is made only on this “whom does it profit” basis, we must oppose such arguments. The accusation must be accompanied with the reason why such economics is fraud and wrong. If we contend that our economic is scientific, the main criterion on judging different economics should be reasonable and scientific.

    (2) Citation 2: The late 19th Century witnessed the emergence of a supposedly “scientific” methodology, relying heavily on quantification, data, and mathematics, challenging the traditionally dominant historical and qualitative approach in economics.

    We should not judge the new movement in economics only by comparing it with the result it brought many years later. The first criterion must be wether it had an aspect better than the old economics.

    I am thinking that neoclassical economics that emerged in the late 19th century (or in the fourth quarter of the 19th century) is wrong by various aspects. It inaugurated marginal analysis. Marginal utility theory (and marginal productivity theory) was wrong and it (they) should be rejected now. Even though, mathematization was on another hand an improvement of economics.

    With these mathematical formulations, many confused arguments became clear (although they are wrong from a deeper understanding). If there was no mathematical formulations, economics today must be as confused as some arguments of the late 19th century. How can Zaman contend that “the traditionally dominant historical and qualitative approach in economics” is better than the newly emergent economics?

    (3) Significance of Methodenstreit

    As he cites the battle of methodologies by German word Methodenstreit, Zaman must be (mainly) considering debates that were made between German historical school and Austrian theoretical economics school. As this controversy is complex one, I do not claim that I know various contents of the controversy and can evaluate its significance on the later development of philosophy of economic methodology. Even though, I want to say that the controversy was not so simple as Zaman summarizes as the victory of theoretical school and became the origin of present-day over-mathematization which deprived from economics deep insight.

    Austrian theoretical economics became the origin of economics school that is now called Austrian school. It seems to retain, in some aspects, more wisdom than mainstream neoclassical economics.

    (4) Citation 4: Given that historical events are unique, learning from them poses a challenge. However, the process involves a learning-by-doing approach. The study of history aims to identify recurring patterns over time, isolating key elements leading to such recurrences. This allows us to forming hypotheses about the reasons for such recurrence. Evidence for and against such hypotheses can be provided, but conclusive proofs are not available in the historical method.

    The part contains a contradiction and the necessity of theoretical reasonings. If historical events are unique (I am not opposed to this facts), how can we identify recurring patterns? Such an identification requires a theory, be it a very primitive one. Zaman’s opposition between history and theory is not well reflected. It leads to a confusion, not only first-year students but also professional economists as well. It seems Zaman himself is fallen in this confusion.

    (5) How a theory evolves and deploys
    Although I cannot fully argue this question here, it seems at the origin of Zaman’s too rough arguments there is the problem of the absence of how a theory evolves and deploys. There will be a better occasion to discuss this question in the future.

  3. February 9, 2024 at 4:17 pm

    next post in the sequence is now up on the WEA Pedagogy Blog, and addresses the question of how we can learn from history Evolution of theories will be discussed much later, after we discuss static theories in local context.

    • February 11, 2024 at 12:52 pm

      Equilibrium is an illusion” — (but a most useful one)

      The monetary pendulum is in perpetual motion, never at rest. Achieving high-quality money, paradoxically, creates the irresistible temptation to create more money, destabilizing the very equilibrium created by it.

      It is true that within the macroeconomics realm there actually is no achievement of a perfectly continuous state of equilibrium, but this does not dismiss the idea that the system is still trying to find it! The stability of this system is due to how the various sectors try to balance their inflowing and outflowing sums of money. They will nearly always try reduce any debt as much as possible, due to the need to pay interest on it. When the loan is used for investment (in a production process), it is aimed at lowering the production costs, which reduces the competitive prices, raises the amount of this activity and stabilizes the resulting system. Monopolies are a relatively small exception.

  4. yoshinorishiozawa
    February 10, 2024 at 3:24 am

    I worked on Agent BAsed Models (Agent-based simulation) for about 15 years since 1998. I have written the fist chapter A guided Tour of the Backside of Agent-Based Simulation for Kita, Taniguchi, and Nakajima (eds.) Realistic Simulation of Financial Markets: Analyzing Market Behaviors by the Third Mode of Science. Springer, 2016. I do not deny the possibility that computer simulation becomes the third mode of scientific research after “theory” (speculation) and experiments (Read the chapter 1 of the book). But, at the actual stage of simulation researches, ABMs are only in a burgeoning stage and cannot supersede empirical (historical) and theoretical investigations.

    What Zaman claims in the next article of the series (Nominal Versus Real Models) contains a major fraud. It is possible that researches based on ABMs may help understanding three features of the economy (i.e., Complexity, Radical uncertainty, and Non-neutrality of money) but, for the moment, to claim it is achieved is a fraud or a hype.

  5. February 10, 2024 at 7:29 am

    I did not say that ABM models have been successfully used in this way. I said that I will use them in this new textbooks, and demonstrate how they can be used this way, in the context of a new strategy for modeling. So before claiming fraud, you should to see the demonstrations of how I will by using them

  6. yoshinorishiozawa
    February 10, 2024 at 9:10 am

    All right. Let us wait and see the results.

  7. yoshinorishiozawa
    February 10, 2024 at 1:52 pm

    Recently, various contributors in this Blog talk about complexity. For example, the excerpt from Maria Alexandra Madi’s article in RWER #106 was give the title “Complexity” in economics. In another article by Lars Syll Behavioural economics and complexity economics on August 19, 2021, we find this contention:

    An alternative to mainstream orthodoxy that has been discussed much lately is so the called complexity economics and its agent-based modelling.

    Agent-based models are formal models usually constructed using mathematical programming and performing simulations and ‘artificial experiments’ with the intention of being able to (more explicitly than in conventional mainstream game theory) describe aggregate effects and dynamics of interacting individuals and socio-economic structures without standardly having to assume equilibria, non-emergence, Walrasian auctioneers, representative agents, rational expectations, etc., etc..

    Agent-based models come in different degrees of realism and are usually conceptualised as different kinds of self-organising complex systems. But one thing they all have in common is reliance on mathematical formalism. In essence the agent-based modelling endeavour in macroeconomics is an attempt at providing new alternative mathematical models where many of the bizarre and ridiculous known-to-be ‘unrealistic’ assumptions in standard DSGE models are replaced with other less ‘unrealistic’ assumptions.

    If Asad Zaman will be successful, as he contends, in using ABMs in his new textbooks, and demonstrate how they can be used in the context of a new strategy for modeling, it will be a clear counter-evidence against Lars Syll’s thesis. I stand on Zaman’s side but the demonstration will be a difficult one. I wish him the best.

  8. February 11, 2024 at 5:51 am

    Since you worked on ABM for 15 years, I would be very interested to know if you built or encountered models where money plays an essential role - I would like to have a complete catalog of existing ABM models for money. Please provide me with references if you have them. Thanks

  9. yoshinorishiozawa
    February 11, 2024 at 6:30 am

    Dear Asad,

    our Agent-Based Simulation aimed to study the high frequency behavior of financial markets (a single futures market). The existence of money is assumed. So, it will not be very useful to your research. Even though, if you want to read our book, I will send you the PDF. Please send me an e-mail at y@shiozawa.net. My paper on ABS is in it. You may find some references in other chapters.

    Best,

    Yoshinori

    P.S. I have posted another comment on February 10, 2024 at 1:52 pm, which is waiting “moderation”. Can you read it?

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