Anthony Murphy Nuffield College

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Presentation transcript:

Anthony Murphy Nuffield College anthony.murphy@nuffield.ox.ac.uk Investment Anthony Murphy Nuffield College anthony.murphy@nuffield.ox.ac.uk

Why Does Investment Matter? On the demand side, investment is very volatile. Investment spending is a primary link thru’ which interest rates, and therefore monetary policy, affect the economy. Tax policies affecting investment are an important element of fiscal policy. On the supply side, long run growth is related to the size of the capital stock, which is just cumulated investment.

Classifications of Investment Etc. Gross fixed capital formation plus changes in inventories. Gross investment – depreciation = net investment Business investment plus residential investment plus inventories What about R&D, software and other intangibles? Private v. public investment e.g. infrastructure. Should schooling count as investment?

Neo-Classical Investment Model à la Jorgenson (e.g. 1979) Risk neutral firm (Fisher separation & Modigliani-Miller theorems) maximises present value of profits. Price taker if competitive firm. Set out equations and derive demand for flow of investment from demand for desired capital stock. FOC’s: MPL = w (real wage) & MPK = c = pI.(r + δ - ΔpI/pI) (real rental / cost of capital).

The Real Rental / Cost of Capital Real rental / cost of capital c = pI.(r + δ - ΔpI/pI) is the appropriate price of a capital good. pI = real price of capital good; r = real interest rate; δ = depreciation rate; ΔpI/pI = rate of appreciation of capital goods relative to output prices; assume approx zero.

Some Comparative Statics Can look at effects of changes in: Technology gains; Real interest rates; Tax incentives. Cobb-Douglas example: Y = ALαK1-αexp(γt) and MPK= (1-α)Y/K. K*= (1-α)Y/c.

Problems with Baseline Model Instantaneous speed of adjustment of capital stock unrealistic. No role for future expectations (apart from appreciation term ΔpI/pI). Note: The so called “accelerator model”, It = ΔKt + δKt-1= νΔYt holds when ct is approx. constant (i.e. when rt and pIt are approx. constant) in the long run or when credit constraints bind. Called accelerator model ‘cos estimated ν between 2 and 3.

Adding Dynamics Add ad hoc dynamics e.g. simple partial adjustment model: Add quadratic adjustment costs and rational expectations (à la Sargent). Now expectations of all future prices etc. matter. No free lunch! Need to model expectations. Hard to model realistically.

Tobin’s q, the Stock Market and Investment Share prices can be thought of as market’s best estimate of value of present and future profits, so they capture future expectations. Aside: Stock markets are forward looking. What about “irrational exuberance” of dot-com bubbles etc.? Tobin (1969) suggested that the rate of investment is related to q = market value of installed capital / replacement cost of installed capital, with q = 1 in equilibrium.

The Appeal of Tobin’s q Simple model - (I/K)t is increasing in qt. Intuitively appealing but no formal model. Relationship to previous models? Negative interest rate effects work thru’ stock market valuation. Ditto effects of technology gains and tax changes. In addition, q should take account of uncertainty, growth in future demand, announcement effects etc. Tobin’s q is like a sufficient statistic - given q, other information (both observed and unobserved) does not matter.

Micro Foundations of Tobin’s q Can derive a Tobin’s q type model of investment in an inter-temporal setting with costs of installing investment e.g. Installation costs explain why q is not always equal to one. These additional costs slow the adjustment to the long run. Diagram of MCI and MPK.. However, in this set up, investment depends on marginal q, as opposed to the average q proposed by Tobin.

Micro Foundations of Tobin’s q (Cont’d) Hayashi (1982) et. al. showed that marginal q equals average q when: - The firm is a price taker; - The production function displays constant returns to scale; - Adjustment costs, per unit of I only depend on the ratio of I/K. Otherwise, average q will not completely capture expectations even if the stock market correctly values future profits.

Tobin’s q In Practise Hayashi (1982) estimated a simple investment equation on US data for 1953 to 1976: (I/K)t= const + 0.043qt R2 = 0.46, DW = 0.43 and the t stat on average qt is about 5. Problematic equation. Why? Adding some dynamics helps a bit. However, other quantity type variables matter (so q is not really akin to a sufficient statistic). Lower correlation between (I/K)t and qt in recent years.

Empirics (Cont’d) There are a large no. of micro (panel data) and macro (time series) studies of the q theory of investment. Macro studies frequently find: - Price effects: a modest role for capital costs (q and/or its components including the real interest rate); - Quantity effects: a substantial role for output or cash flow variables (since, in the UK and US, a lot of investment is financed from retained earnings).

Lots of Ongoing Research The effect of taxation on the cost of capital and q, and hence investment (e.g. event studies); The “excessive” lumpiness of investment at the firm level; The sensitivity of investment to cash flow and profits, which may imply a high incidence of credit constraints; The consistency of observed high hurdle rates for investment with the option value of waiting; The determinants of international investment e.g. FDI.

Overview of Investment Investment is the most volatile component of aggregate demand. The demand for capital depends on real interest rates, current and expected future output and taxes. Investment reflects the adjustment of the existing capital stock to the current demand for capital. Investment is a primary link from monetary policy to aggregate demand.