In the Sixties, the qualified stock option was the predominant form of long-term incentive compensation contract for major industrial firms in the U.S. In the early Seventies these same firms replaced their tax-qualified stock option plans with non-qualified sttock options and later modified these plans to include a variety of new contingent compensation arrangements, some of which were based on accounting numbers instead of stock prices. This paper develops the hypothesis that tax considerations play an important role in explaining the form of compensation contracts. The pattern and timing of changes in the compensation plans of the top 100 industrial firms provides evidence consistent with the tax hypothesis.
William R. Kinney, Jr., Gerald L. Salamon, Regression Analysis in Auditing: A Comparison of Alternative Investigation Rules, Journal of Accounting Research, Vol. 20, No. 2, Part I (Autumn, 1982), pp. 350-366
Journal of Accounting and Economics19824(1), 41-53
This paper examines the relationship between the ownership control status of firms and the accounting methods they adopt. The arguments of Watts and Zimmerman's positive theory are integrated with those of managerial economists to generate the prediction that management controlled firms are more likely than owner controlled firms to adopt accounting methods which increase reported earnings. This prediction is inconsistent with Fama's hypothesis that the market for managerial talent will prevent management controlled firms from acting differently than owner controlled firms. This paper compares the depreciation methods used by a sample of management and owner controlled firms for financial reporting purposes. The comparison considers and controls for the factors of firm size, leverage, and the depreciation method used for tax reporting purposes. The comparison reveals that there is a significant difference in the depreciation methods adopted by management controlled and owner controlled firms for financial reporting purposes.
Journal Article A Note on the Stability Limitations in “A Stable Price Adjustment Process” Get access Conway L. Lackman Conway L. Lackman Administrative Studies, Newark Search for other works by this author on: Oxford Academic Google Scholar The Quarterly Journal of Economics, Volume 97, Issue 3, August 1982, Pages 541–542, https://doi.org/10.2307/1885877 Published: 01 August 1982
Welch and Moses Abramovitz and two referees for help at various stages of our work. This survey represents a substantial revision of work originally supported by the Minimum Wage Study Commission.
The Review of Economics and Statistics198264(2), 339
Data Resources, Inc., Regional Load-Curve Models, vols. 1 and 3 (Aug., Sept. 1981). Engle, Robert, Clive W. J. Granger, Allen Mitchem, and Ramu Ramanathan, Some Problems in the Estimation of Daily Load Shapes and Peaks, Modelling and Analysis ofElectricity Demand by Time-of-Day, Electric Power Research Institute (EPRI), EA-1304, Dec. 1979. Engle, Robert F., Clive W. J. Granger, and Ramu Ramanathan, Regional Load Curs e Models: QUERJ's Model Long Run Forecasts and Sensitidvity Analysis, EPRI, EA-1672, vol. 4 (Sept. 1981). Granger, Clive W. J., Robert F. Engle, Ramu Ramanathan, and Allan Andersen, Residential Load Curves and Time-of-Day Pricing: An Econometric Analysis,' Journal ofEconometrics 9 (1979), 13-32. Granger, Clive W. J., et al., A Regional Load Curve Model: Specification and Estimation, Electric Power Research Institute, forthcoming. Graybill, Franklin, Theory and Application of the Linear Model (North Scituate, MA: Duxbury Press, 1976). Hanushek, Eric A., Efficient Estimators for Regressing Regression Coefficients, The American Statistician 28 (May 1974), 66-67. Mitchem, Allen, A Regional Model of Time of Day Elasticity Demand: A Tiuo Stage Approach, unpublished PhD dissertation, University of California at San Diego, 1981. Poirier, Dale, Economic Issues in Land Forecasting, Modelling and Analysis of Electricity Demand by Time-oJ-Day, EPRI, EA-1304, Dec. 1979. Ramanathan, Ramu, Robert F. Engle, and Clive W. J. Granger, Regional Load Curlve Models: QUERJ's Model Long Run Forecasts and Sensitivity Analysis, EPRI, EA-1672, vol. 2 (Aug. 1981). University of Arizona Engineering Experiment Station, Modelling and Analysis of Electricity Demand by Time-of-Day, EPRI, EA-1304, Dec. 1979 (proceedings of the EPRI workshop at San Diego). U.S. Department of Commerce, Notes on TemperatureHumidity Index, L.S. 5922, June 1959.