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An Econometric Model of Labour Turnover in U.K. Manufacturing Industries 1956-73

Review of Economic Studies 1978 45(3), 469-477
Journal Article An Econometric Model of Labour Turnover in U.K. Manufacturing Industries 1956–73 Get access M. R. Wickens M. R. Wickens University of Essex Search for other works by this author on: Oxford Academic Google Scholar The Review of Economic Studies, Volume 45, Issue 3, October 1978, Pages 469–477, https://doi.org/10.2307/2297249 Published: 01 October 1978 Article history Received: 01 December 1975 Accepted: 01 June 1977 Published: 01 October 1978

Some aspects of technology transfer and direct foreign investment

American Economic Review 1978
A model showing technology transfer to developing countries links questions of appropriations with the socio-economic reasons for technological change. The rate at which foreign capital is used is found to be directly related to after-tax profits. If the developing country raises taxes on foreign capital, the effect is to increase the proportion of domestic capital needed and to widen the technological gap between the two countries. The analysis also shows a higher gain from new techniques with increased demand volume and suggests large developing countries with similar capital to invest are more likely to generate intermediate technologies. 8 references.

ARIMA and Regression in Analytical Review: an Empirical Test .

The Accounting Review 1978 53(1), 48-60
Analytical review can be a relatively inexpensive means for reducing detailed substantive testing in auditing. This article presents a formulation and comparison of four statistical and two naive procedures for conducting analytical review which rely on substantially different information sets. Specifically, ordinary least squares regression predictions and three sets of integreted-autoregressive-moving-averege-(ARIMA) based predictions are compared with martingale and submartingale predictions for a set of monthly accounting series. The data for the empirical work are 15 years of operating revenues of a sample of six railroads in the southwestern United States. All methods exhibit a slight prediction bias but the ARIMA-based univariate transfer function, which requires the largest information set and the greatest computation effort, yields the smallest mean absolute error as well as the smallest prediction bias. Regression predictions are second in predictive power. ARIMA predictions of revenues and ARIMA predictions of the independent variable as input for regression predictions of revenues (which can be used when an independent variable is not economically available or available only at a lag) are found to reduce substantially mean absolute yearly bias and mean absolute errors vis-a-vis the naive procedures. Considering the results, ARIMA bases seem to be potentially useful but not as generally applicable alternative(s) to the more traditional time series regression. Other characteristics of ARIMA predictions are briefly explored.