Increasing the relevance of mathematical approaches to demographic history

In this short paper we comment on recent efforts at formally modelling the interplay between demography and cultural evolution. We draw attention to the fact that, although these efforts are to be applauded, much work has already been done in this area, and that this work is being ignored. We build a case for tighter collaboration between different social science disciplines concerned with human behaviour and long-term demography, and argue that mathematical models must be paired with empirical data.     

Integration of financial and management accounting systems: The mediating influence of a consistent financial language on controllership effectiveness

Two fundamental options exist for management accounting system (MAS) design: Either financial records can be used as a database for management accounting (integrated accounting system design), or the MAS can be based upon a separate system, i.e., a third set of books beside financial and tax accounting records. Since the 1990s, many German-speaking firms have changed from the second to the first option, which has instigated a highly controversial debate.Our paper contributes to this debate by empirically analyzing (1) whether the integration of financial and management accounting has a positive impact on controllership effectiveness, and (2) what causal inferences relate both variables. We use structural equation modelling for a sample of 149 dyads surveyed from German top 1500 firms. We identify no significant effect of the technical aspects of MAS integration, but a fully mediating influence of a consistent financial language on controllership effectiveness. Our results thus imply that consistency with financial reporting is an important property of MAS design from management's point of view.     

Untersuchung über die Kränklichkeit in den staatlich unterstützten Krankenkassen Schwedens

Abstract

Von den Vorschriften, die für die staatlich unterstützten Krankenkassen gelten, werde ich hier nur so viel mitteilen, was für den Aufbau der mathematiscben Formeln notwendig ist, sowie einige Tatsachen, die bei Vergleichen mit anderen Kränklichkeitsmaterialien von Bedeutung sind. Im übrigen wird auf das Gesetz über Krankenkassen hingewiesen.     

Rational expectations for large CGE models: A practical algorithm and a policy application

We describe a simple iterative method for solving large dynamic CGE models under rational expectations. Details are given for Australia's MONASH model but the approach applies to a wide range of CGE models. The method is automated in the RunMONASH Windows software, putting CGE modelling under rational expectations within the reach of non-specialist modellers. We provide an illustrative application in which MONASH results under rational expectations are compared with results under static expectations. The application and supporting software can be downloaded. Results from the application are interpreted in terms of elementary economic mechanisms.     

Can a Wealthy Economy Gain from an EU Membership? Adjustment Costs and Long Term Welfare Effects of Full Integration—The Norwegian Case

We employ a large scale macroeconometric model to study adjustment problems and long term welfare effects of a Norwegian EU-membership. Accession costs depend significantly on the country's level of GDP, the size of its agricultural sector and tariff and VAT revenues as these elements determine the net membership contribution. Without the transfers, integrating the economy into EU generates a small welfare gain. This result is strongly affected by a long period with under-utilisation of resources. With the net contribution included, we identify a welfare loss. This is especially so if fiscal policy is changed to maintain the public sector budgetary balance.     

A bivariate Poisson count data model using conditional probabilities

The applied econometrics of bivariate count data predominantly focus on a bivariate Poisson density with a correlation structure that is very restrictive. The main limitation is that this bivariate distribution excludes zero and negative correlation. This paper introduces a new model which allows for a more flexible correlation structure. To this end the joint density is decomposed by means of the multiplication rule in marginal and conditional densities. Simulation experiments and an application of the model to recreational data are presented.     

Measuring Efficiency: A Comparison of Multilevel Modelling and Data Envelopment Analysis in the Context of Higher Education

Data envelopment analysis (DEA) and multilevel modelling (MLM) are applied to a data set of 54,564 graduates from UK universities in 1993 to assess whether the choice of technique affects the measurement of universities’ performance. A methodology developed by Thanassoulis and Portela (2002; Education Economics, 10(2), pp. 183–207) allows each individual's DEA efficiency score to be decomposed into two components: one attributable to the university at which the student studied and the other attributable to the individual student. From the former component, a measure of each institution's teaching efficiency is derived and compared to the university effects from various multilevel models. The comparisons are made within four broad subjects: pure science, applied science, social science and arts. The results show that the rankings of universities derived from the DEA efficiencies which measure the universities’ own performance (i.e., having excluded the efforts of the individuals) are not strongly correlated with the university rankings derived from the university effects of the multilevel models. The data were also used to perform a university‐level DEA. The university efficiency scores derived from these DEAs are largely unrelated to the scores from the individual‐level DEAs, confirming a result from a smaller data set (Johnes, 2006a; European Journal of Operational Research, forthcoming). However, the university‐level DEAs provide efficiency scores which are generally strongly related to the university effects of the multilevel models.     

Unemployment or protectionism: Some choices for the USA and Western Europe to the year 2000

This article reports on the economic implications to the USA and Western European economies after imposing protectionist trade policies on selected groups of imports till 2000. The effects of this policy are also presented for Japan and the non-oil-producing developing countries. Before discussing the results of the computations and the import restricting assumptions, a summary of the methodological framework, the World Input-Output Model, used in the computation is presented.     

Distributed Decision Making: A Proposal of Support Through Cooperative Systems

In this paper we show that decision making processes evolve to be more and more distributed and asynchronous. In order to support decision-makers who are not at the same place at the same time we define cooperation processes and a set of models models able to support designers of Cooperative decision support framework. These models come from a more general architecture of a Cooperative Knowledge Based System and are based on the knowledge acquisition field. A definition of cooperative decision support framework is also given.     

Using Forecasting Criteria to Identify Value Relevance in the Relationship Between Accounting Numbers and Market Value

We explain and demonstrate a disciplined and systematic approach to repeatable modelling using forecast criteria, in addition to the usual statistical estimation criteria, to identify value relevance in regressions of the market‐accounting relation. The method was used in Cooke et al. ( 2009 ). It is illustrated here in the case of a single firm over a 59‐year period. Market and accounting data for the U.S. firm Abbott Laboratories Inc. from 1955 are modelled using a testing‐down, error correction approach. Hold‐out samples of 10 to 15 years are used to assess forecasting performance relative to a random walk. Emphasis is placed upon the use of simple, directly observable and theory‐independent model variables that can be replicated with other sample data. In this case, logarithmic transformations of all variables have to be computed in order to achieve correct statistical specification, implying a multiplicative relationship in the raw data. The strongest cointegrating accounting variable with forecasting ability for Abbott's market value is earnings. The model parameters exhibit long‐run stability and the accounting regressor marginally improves forecasts of market value compared to a random walk, demonstrating ‘value relevance’.