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Estimation of the Internal Adjustment Costs Model Using Longitudinal Establishment Data

The Review of Economics and Statistics 1988 70(3), 421
-This paper develops estimates of the internal costs (measured in terms of foregone current output) associated with the introduction of new plant and equipment into manufacturing establishments, using the Census Bureau's Longitudinal Establishment Data file, a very large and rich source of production and investment data. Our estimates provide strong support for the internal-adjustment-costs hypothesis; they indicate that one-dollar increases in expansion and replacement investment cause, on the average, 35and 21-cent reductions, respectively, in current output. The internal cost of adjusting to equipment appears to be higher than the cost of adjusting to plant.

Macro Shocks and Industrial Portfolio Responses: An Econometric Model for LDCs

The Review of Economics and Statistics 1988 70(4), 559
A dynamic model of corporate balance sheet structures and net worth growth is fit to firm-level panel data from Uruguay. Basic findings are: (1) net income is very sensitive to financial costs and demand for output; (2) there is a direct proportionality between net income and net worth expansion; (3) firms absorb most short-run fluctuations in net worth via adjustments in assets, not debts; and (4) the interest elasticity of corporate demand for peso debt is very small. Inter alia, these results imply that rapid changes in the exchange rate have large effects on corporate sector leverage and liquidity.

Evaluating q as an Alternative to the Rate of Return in Measuring Profitability

The Review of Economics and Statistics 1988 70(4), 614
The ratio of a firm's market value to its replace ment cost, q, is often used to measure firms' profitability. The use of q is increasin g in large part because of the growing realization that errors in evaluating firms' capital assets may cause errors in estimates of the accounting rate of return, r. The same objection, however, applies t o q. This paper reports the results of Monte Carlo experiments designed to determine whether q is superior to r. Errors in both q and r are large and potentially serious, but do not render either measure useless.