STOCHASTIC ANALYSIS OF INPUT–OUTPUT MULTIPLIERS ON THE BASIS OF USE AND MAKE TABLES

Although technical coefficients are estimated on the basis of flow data (use and make matrices), they are rarely treated as random variables. If this is done, an error term is added to the coefficients, rather than derived from the distribution of the data. Even so, the calculation of multipliers, by means of the Leontief inverse, is difficult. Due to the nonlinearity of this operation, the multiplier estimates are biased. By going back to the flow data, this paper provides unbiased and consistent employment and output multipliers estimates for the Andalusian economy. Rectangular use and make matrices are accommodated and problems associated with the construction and estimation of technical coefficients and the Leontief inverse are circumvented.     

Teaching accountants to learn and "building blocks" for accounting education

Conclusions Accounting professionals and academicians have expressed significant interest and are pursuing a variety of changes in accounting curricula. There is a broad range of opinions regarding the nature of the changes needed in accounting education, which range from dramatic redesign to little or no change. There is a need to develop a framework for accounting education that is consistent but flexible to accommodate the majority of the accounting educational needs. The "building blocks" of accounting education presented in this paper provide educators with a basic pedagogical framework for an appropriate learning process. The framework of accounting education specifically focuses on the accounting component of the educational process and identifies the nature of courses and appropriate teaching strategies based upon their goals and objectives. Most educators recognize that only "one" accounting curriculum is insufficient to meet the needs of a variety of constituents. Therefore, it is essential to adopt an appropriate general framework for coursework is adopted to address the development of many diverse accounting programs.     

Sources of gains from international portfolio diversification

This paper looks at the determinants of country and industry specific factors in international portfolio returns using a sample of forty eight countries and thirty nine industries over the last three decades. Country factors have remained relatively stable over the sample period while industry factors have significantly increased during the last decade and dropped again since 2000. The importance of industry and country factors is correlated with measures of economic and financial international integration and development. We find that financial market globalization is the main driving force behind the changes in relative magnitude of the different shocks. Country factors are smaller for countries integrated in world financial markets and have declined as the degree of financial integration and the number of countries pursuing financial liberalization has increased. Higher international financial integration within an industry increases the importance of industry factors in explaining returns. Economic integration of production also helps in explaining returns. Countries with a more specialized production activity have higher country shocks.     

Converting retirement benefit into a life care annuity with graded benefits*

This paper deals with life care annuities, i.e. bundled products comprising a life annuity and long-term care insurance. It aims to assess the cost of converting retirement benefit into a life care annuity with graded benefits using a pre-existing public pay-as-you-go pension scheme. With this objective in mind, we present an actuarial method based on array calculus for valuing this type of life care annuity. The health dynamics of the annuitant rely on a reversible illness-death multistate framework. The paper contains a numerical example in which mortality and disability assumptions are based on data from the USA and Australia, although this should be viewed simply as an illustration. In addition, in order to check the coherence of these data, we compute life expectancy for both healthy and dependent persons, and then for dependent persons in each of the states of dependence. The effect of ruling out the recovery assumption on the annuity’s cost is also assessed. The analysis provides valuable insights into how much it would cost to introduce these annuities and enables us to make some policy recommendations to help ensure that this combined pension scheme has a good actuarial design.     

Fractional integration and cointegration in merger and acquisitions in the US petroleum industry

This article employs methodologies based on fractional integration and cointegration to analyse the time-series properties of merger and acquisitions (M&A) activity and crude oil prices in the US from 1980 to 2012. Our results indicate that an increase in the crude oil price produces a significant increase in the M&A data between 2 and 3 months after the initial shock.     

Using templates and linguistic patterns to define process performance indicators

Process performance management (PPM) aims at measuring, monitoring and analysing the performance of business processes (BPs), in order to check the achievement of strategic and operational goals and to support decision-making for their optimisation. PPM is based on process performance indicators (PPIs), so having an appropriate definition of them is crucial. One of the main problems of PPIs definition is to express them in an unambiguous, complete, understandable, traceable and verifiable manner. In practice, PPIs are defined informally – usually in ad hoc, natural language, with its well-known problems – or they are defined from an implementation perspective, hardly understandable to non-technical people. In order to solve this problem, in this article we propose a novel approach to improve the definition of PPIs using templates and linguistic patterns. This approach promotes reuse, reduces both ambiguities and missing information, is understandable to all stakeholders and maintains traceability with the process model. Furthermore, it enables the automated processing of PPI definitions by its straightforward translation into the PPINOT metamodel, allowing the gathering of the required information for their computation as well as the analysis of the relationships between them and with BP elements.     

The Variegated Financialization of Housing

There is a small but growing literature on the financialization of housing that demonstrates how housing is a central aspect of financialization. Despite the varied analyses of the financialization of housing and the importance of housing to financialization, the relations between housing and financialization remain under‐researched and under‐theorized. The financialization of housing is not really a specific form of financialization, transcending as it does a number of different forms of financialization. Housing systems, in particular, vary widely across the globe, which implies that housing financialization will be inherently variegated, path‐dependent and uneven. In this introduction to the symposium, I will discuss how the articles to follow contribute to the literature on the financialization of housing. Housing has entered a post‐Fordist, neoliberal and financialized regime. Increasingly, both mortgaged homeownership and subsidized rental housing are there to keep financial markets going, rather than being facilitated by those markets. There is little evidence that the global financial crisis has resulted in any de‐financialization of housing. There are common trajectories within uneven and variegated financialization, rather than radically different and completely unrelated forms of housing financialization.     

Estimating the U.S. output gap with state‐level data

This paper develops a method to estimate the U.S. output gap by exploiting the cross‐sectional variation of state‐level output and unemployment rate data. The model assumes that there are common output and unemployment rate trend and cycle components, and that each state's output and unemployment rate are subject to idiosyncratic trend and cycle perturbations. I estimate the model with Bayesian methods using quarterly data from 2005:Q1 to 2018:Q2 for the 50 states and the District of Columbia. Results show that the U.S. output gap reached about negative 4.6% around the years of the Great Recession and was about 0.9% in 2018:Q2.