Trade and technological explanations for changes in sectoral labour demand in OECD economies

This paper sets out to establish the main determinants of variations in the demand for aggregate labour in manufacturing and service sectors (22) for a cross-section of OECD countries (14). A relatively new panel data set is employed in the analysis, the OECD's International Sectoral Data Base. Preliminary analysis revealed that the ‘within’ sector variation in the wage share dominated overall variation for most countries and time periods. A separate dynamic model was thus generated to explain the ‘within’ sector variation in the wage share. This model contained real wages, output, the capital stock, technological change (total factor productivity) and trade (the imports to value-added ratio) as independent variables. In addition the wage level was also interacted with these explanatory variables on the presumption that skill is positively correlated with the level of wages. Because of the potential for simultaneity bias, estimation was conducted by IV and OLS. The main findings were that the capital stock and technological change were the main determinants of shifts in labour demand. While some countries reported the trade variable as significant its influence was only of slight importance in most cases. The interaction terms proved to be significant in a large number of countries. Some evidence was found that capital and technological were complementary with skill. Overall it was found that broad agreement existed across countries in the factors which influence labour demand despite considerable differences in the cross-country nature of labour market institutions.     

Remembering Joseph M. Becker,S.J.

“Critique” of the Neoclassical paradigm in economics is a vital intellectual contribution in its own right. The prevailing wisdom and last word in economics, enforced by the socializing experiences of young would-be economists, is that if you can’t build a better theory immediately, without resources or access to debate and discussion, you have no right to criticize the existing paradigm, This requirement cuts off challenge and debate in economics, strongly deters the development of alternative theories, and leads to a weaker, less interesting economic science.     

Options: A Monte Carlo approach

This paper develops a Monte Carlo simulation method for solving option valuation problems. The method simulates the process generating the returns on the underlying asset and invokes the risk neutrality assumption to derive the value of the option. Techniques for improving the efficiency of the method are introduced. Some numerical examples are given to illustrate the procedure and additional applications are suggested.     

STOCK MARKET REACTION TO ETHICAL INITIATIVES OF DEFENSE CONTRACTORS: THEORY AND EVIDENCE

This paper offers an Investor Decision Framework (IDF) to describe and measure investor behavior toward social responsibility information. This framework seeks to explain how investors perceive the effects of social responsibility information on firm value. The formation in 1986 by 32 major defense contractors of the Defense Industries Initiative (DII) provides an ideal example to assess stock market reaction to an ethical initiative. The performance of the DII firms was compared with that of a control group of non-DII defense firms, which did not sign the agreement, in order to measure and determine the extent to which the market placed substance on the DII as a public commitment to ethics. We initially posited that the DII firms stock price would move in a significantly positive direction. However, when our analysis revealed a significant negative impact not only on DII, but also on non-DII defense stock prices, we were forced to reject thisa priorihypothesis. The market interpreted this ethical initiative as (i) a precursor of future sanctions towards firms engaged in defense contracting or (ii) as a penalty for social irresponsibility imposed by socially conscious investors. Either way, it would have a negative impact upon future cash flows.