Updating and Estimating a Social Accounting Matrix Using Cross Entropy Methods

The problem in estimating a social accounting matrix (SAM) for a recent year is to find an efficient and cost-effective way to incorporate and reconcile information from a variety of sources, including data from prior years. Based on information theory, the paper presents a flexible 'cross entropy' (CE) approach to estimating a consistent SAM starting from inconsistent data estimated with error, a common experience in many countries. The method represents an efficient information processing rule-using only and all information available. It allows incorporating errors in variables, inequality constraints, and prior knowledge about any part of the SAM. An example is presented, applying the CE approach to data from Mozambique, using a Monte Carlo approach to compare the CE approach to the standard RAS method and to evaluate the gains in precision from utilizing additional information.     

Performance measurement systems and their relation to strategic learning: A case study in a software-developing organization

Authors have often suggested that expert systems for measuring and assessing intangible and tangible resources fulfill strategic learning purposes. This role requires further theoretical discussion and empirical investigation since strategic learning does not automatically result from the implementation of performance measurement systems (PMS). PMS can be used for internal or external control purposes in addition their development and usage can lead to strategic learning processes. Depending on how PMS are conceptualized they can be related to different modes of learning. Thus, this article links different types of PMS enactment with specific modes of learning. Strategic learning is thereby defined as specific mode within the organizational learning approach by Bateson (1972) and Argyris and Schön (1978). Orlikowski's work on technologies (2000) provides a framework for the different types of PMS enactment. A strategic learning process initiated by the development of PMS is illustrated through a case study in the software development industry.     

Nonlinear economic growth: Some theory and cross-country evidence

This paper aims to test the existence of different growth regimes, that is of different relationships between growth rate and income level. We propose a simple nonlinear growth model and test its empirical implications by estimating Markov transition matrices and stochastic kernels. We show that growth is indeed nonlinear: a first phase of slow or zero growth is followed by a take-off and, finally, by a phase of deceleration. We discuss the relevance of these results with respect to the issue of convergence and reversibility of development, in the light of models of structural change and technological diffusion.     

A Multi-Objective and Multi-Design Evaluation Procedure for Environmental Protection Forestry

A unique and important application of a comprehensive and practical multi-objective evaluation framework is presented which goes far beyond traditional cost-benefit analysis (CBA). It is characterized by transparency which is not always the case for methods beyond CBA. The application is geared to the evaluation of environmental protection forestry with several alternative designs. The framework suggested consists of five key steps integrating orthodox cost-benefit analysis and the analytical hierarchy process developed by Saaty (1980). It is shown to be a flexible framework which can coherently function with a mixture of both monetary and physical units of measurement. The framework is applied to a consideration of alternative designs for the Three Norths Shelter Belt (TNSB) in China.     

The complementary nature of technological capabilities: Measurement and robustness issues

The application of composite indicators to complex phenomena in social science has come to remarkable prominence. As a result, they have been widely applied in wide-ranging fields. This paper explores the application of a composite indicator of technological capabilities that can be also valid for composite indicators in other fields. We focus on whether different methodologies to build composite indicators lead to different results. The arithmetic mean to aggregate technological capabilities variables has been widely criticized, as it allows for perfect substitutability between variables, thus disregarding the complementary nature of technological capabilities. We introduce a new aggregation rule, the concave mean, in order to take into account the complementarity argument in a Science-Technology-Innovation context. Using a dataset for 138 countries, we show that the arithmetic mean is biased in principle but robust in practice. This depends upon the fact that technologically more advanced countries tend to have a more complementary structure in their technological capabilities compared to less developed nations.     

Foreign trade,resource allocation,and structural adjustment in Yugoslavia: 1976–1980

A multisector computable general-equilibrium model for the Yugoslav economy is used to analyze some of the internal and external causes of the foreign-exchange crisis of the 1976–1980 period. Methodologically, its modeling approach, appropriately modified for institutional differences, can be used to study the behavior of socialist economies in which prices play a role in resource allocation. Empirically, the results suggest that internal policy errors and systemic factors were the predominant force behind Yugoslavia's growing foreign-exchange shortage between 1976 and 1980. J. Comp. Econ., March 1985, 9(1), pp. 46–70. University of California, Berkeley, California 94720.     

How Would David Ricardo Have Taught the Principle of Comparative Advantage?

If David Ricardo had lived beyond the age of 51, how might he have delivered a lecture on comparative advantage? I argue that Ricardo infers the direction of comparative advantage and the size of the gains from trade by interpreting the four numbers in his Principles of Political Economy and Taxation for cloth and wine traded between England and Portugal as amounts of labor embodied in the quantities actually traded. He illustrates diagrammatically the gains from trade as the overall labor that England would save if it were to liberalize wheat imports by repealing the Corn Laws. Postulating a concave production function for wheat, Ricardo also depicts the concomitant rise in the profit rate, describing it as an equally important contemporary gain from trade for England. His interpretation differs radically from the textbook versions of the “Ricardian trade model,” and suggests a more authentic way of presenting the principle of comparative advantage.     

Is training more frequent when the wage premium is smaller? Evidence from the European Community Household Panel

According to Becker [Becker, G., 1964, Human Capital, NBER, New York], when labour markets are perfectly competitive, general training is paid by the worker, who reaps all the benefits from the investment. Therefore, ceteris paribus, the greater the training wage premium, the greater the investment in general training. Using data from the European Community Household Panel, we compute a proxy of the training wage premium in clusters of homogeneous workers and find that smaller premia induce greater incidence of off-site training, which is likely to impart general skills. Our findings suggest that the Becker model provides insufficient guidance to understand empirical training patterns. Conversely, they are not inconsistent with theories of training in imperfectly competitive labour markets, in which firms may be willing to finance general training if the wage structure is compressed, that is, if the increase in productivity after training is greater than the increase in pay.