Economics 374-01A                                                                Dr. John F. Olson

Monetary Theory and Policy                                                     Spring 2004

Study Guide for First Test

 

The bulleted points below are from the end of the chapter “Summary of Critical Conclusions” in the text by Handa.  See/study the appropriate chapter sections of the text for details.  I have also inserted annotations in italics.

 

Chapter 1 – Introduction

 

You should know the component definitions of M1 and M2.

Other financial intermediaries do have (and create) liabilities, but they are not very liquid and, thus, are not used as monies; this is one feature that makes banks “different”.

The differentiated financial assets arise because of the different needs (return vs. risk, liquidity, term to maturity) of financial market participants (savers-lenders, intermediaries, and borrowers-spenders).

The evolution of the classical paradigm includes the traditional classical ideas, the neo-classical model, monetarism, the modern classical model (incorporating rational expectations), and the new classical model (with Ricardian equivalence).

 

Other key elements of this chapter/unit:  the functions of money, why does money exist – how does it arise as a social invention from economic decisions, definitional distinctions between the money supply and money stock, nominal vs. real values, and notions of the “money market” in macroeconomic models.

 

 

Chapter 4 – The Transactions Demand for Money

 

In addition to the basic inventory analysis (aka the Baumol-Tobin) model used to derive the transaction demand for money, you should also understand the “shopping-time” model developed and presented in class (see the handout from the McCallum text).

 

More correctly, it will be between one and one-half; recall that visits to the bank must be measured in integers and when this is taken into account, the real-income-elasticity will be an average of the mix of households (some having unit-elastic demands, others having elasticity values of one-half).

This is just re-asserting that it is the demand for “real” money that matters (what money can purchase in “real” terms).  People do not suffer “money illusion” – they are not fooled by nominal prices increases; as the price level increases, they accordingly increase the amount of nominal money they want to hold in order to maintain the level of their real money holdings.

As above, more correctly, it will be between zero and one-half; for the same reason (integer bank visits), the elasticity will be an average of the mix of households (some having zero interest-elasticity, others having one-half).

Think, for example, how increased availability and use of credit cards might affect cash management and the transactions demand for money by households.  And what about recent and historical changes in financial and cash management practices in business and financial firms?

 

Notes on Portfolio Selection & the Speculative Demand for Money

 

The transactions demand for money may include the interest rate as a variable affecting the demand for money, usually reflecting an opportunity cost of holding value in money (as opposed to in an interest-earning asset).  Portfolio analysis (or speculative demand) approaches provide an alternative explanation for inclusion of the interest rate in the money demand function.

 

For example, Keynes relied upon the inverse relationship between interest rates and bond prices.  He argued that as interest rates deviated from their long-run trend (or expected) levels, individuals would adjust their holdings of money and bonds.  In order to avoid subsequent capital losses on bonds when interest rates were currently low and would be expected to rise in the future, individuals’ money holdings would be high.  And to seek capital gains on bonds when interest rates were currently high and would be expected to fall in the future, individuals’ money holdings would be low.  Thus, in the speculative demand for money, the quantity of money demanded changes inversely as interest rates vary.

 

Money is, relative to other assets, riskless.

First, from a portfolio selection analysis with the proper assumptions, the optimally-composed portfolio (in terms of risk and return) will include more money (the riskless asset) as the relative expected return(s) on the risky assets decreases – that is, people (who are typically risk averse) will try to lower risk by holding more money if the returns on risky assets go down.

Second, portfolio selection analysis suggests that the money demand function might be very unstable (fluctuate a lot) because of the volatile expectations of returns and risks of non-money assets.  That is just another way of saying it moves around so much and so quickly that would be hard to usefully predict even if you had all the necessary data to do so in a timely manner.

 

 

Chapter 7 – The Estimating Function for the Demand for Money

 

This chapter begins addressing some practical problems in estimating the money demand function.

RE is more suitable from a theoretical perspective, but the modeling and informational requirements may not be worth the effort in estimation.

AE is more appropriate statistically than RE – see above.

If there are costs to adjusting into or out of money balances in response changes in equilibrium holdings, then a partial adjustment model needs to be incorporated.

Beside stationarity, other problems include single-equation (partial equilibrium) vs. general equilibrium estimation, imposing coefficient restrictions, the identification problem, multicollinearity, and serial or auto-correlation of the error terms.  Another issue is the selection of the functional form for estimation – usually a log-linear form is employed because the coefficients can be directly interpreted as elasticities – the choice is often determined by the relative empirical performance of different forms.

 

 

Chapter 8 – Monetary Aggregation

 

What is the best or correct way to combine different money assets into a measure of money?

This may work for the simplest measures of money, such as M1; but the assumption does not hold true for the components of the broader measures of money.

The Granger (or Sims-Granger) procedure can be used to statistically determine the extent and magnitude of causality and reverse causality.  It is predicated on the notion that events occurring in the future cannot cause events in the past.

The St. Louis monetarist equation is a reduced-form short-run IS-LM model used to empirically determining the impact of monetary and fiscal policy on nominal income.  It can be used to test various monetary aggregates to determine which measure performs “better”.

 

 

Chapter 9 – Money Demand and Empirical Findings

 

While empirical estimation of the money demand function yields some meaningful results, the endeavor also demonstrates the difficulties and problems described in previous chapters.

Money has changed and, accordingly, so has the demand function.