Estimating demand with distance functions: Parameterization in the primal and dual

Our purpose is to investigate the ability of different parametric forms to ‘correctly’ estimate consumer demands based on distance functions using Monte Carlo methods. Our approach combines economic theory, econometrics and quadratic approximation. We begin by deriving parameterizations for transformed quadratic functions which are linear in parameters and characterized by either homogeneity or which satisfy the translation property. Homogeneity is typical of Shephard distance functions and expenditure functions, whereas translation is characteristic of benefit/shortage or directional distance functions. The functional forms which satisfy these conditions and include both first- and second-order terms are the translog and quadratic forms, respectively. We then derive a primal characterization which is homogeneous and parameterized as translog and a dual model which satisfies the translation property and is specified as quadratic. We assess functional form performance by focusing on empirical violations of the regularity conditions. Our analysis corroborates results from earlier Monte Carlo studies on the production side suggesting that the quadratic form more closely approximates the ‘true’ technology or in our context consumer preferences than the translog.     

User,Use & Utility Research

Business and Information Systems Engineering (BISE) is at a turning point. Planning, designing, developing and operating IT used to be a management task of a few elites in public ad-ministrations and corporations. But the continuous digitization of nearly all areas of life changes the IT landscape fundamentally. Success in this new era requires putting the human perspective – the digital user – at the very heart of the new digitized service-led economy. BISE faces not just a temporary trend but a complex socio-technical phenomenon with far-reaching implications. The challenges are manifold and have major consequences for all stakeholders, both in information systems and management research as well as in practice. Corporate processes have to be re-designed from the ground up, starting with the user’s perspective, thus putting usage experience and utility of the individual center stage. The digital service economy leads to highly personalized application systems while organizational functions are being fragmented. Entirely new ways of interacting with information systems, in particular beyond desktop IT, are being invented and established. These fundamental challenges require novel approaches with regards to innovation and development methods as well as adequate concepts for enterprise or service system architectures. Gigantic amounts of data are being generated at an accelerating rate by an increasing number of devices – data that need to be managed. In order to tackle these extraordinary challenges we introduce ‘user, use & utility’ as a new field of BISE that focuses primarily on the digital user, his or her usage behavior and the utility associated with system usage in the digitized service-led economy. The research objectives encompass the development of theories, methods and tools for systematic requirement elicitation, systems design, and business development for successful Business and Information Systems Engineering in a digitized economy – information systems that digital users enjoy using. This challenge calls for leveraging insights from various scientific disciplines such as Design, Engineering, Computer Science, Psychology and Sociology. BISE can provide an integrated perspective, thereby assuming a pivotal role within the digitized service led economy.     

Globalisation and/or Europeanisation? The Case of Flexicurity

The relationship between globalisation and Europeanisation is conventionally studied by focusing on the domestic level. In this article we explore this relationship at the international level instead. We examine the way in which the two phenomena in the form of the ILO and the EU relate to one another. Adopting a discursive institutionalist approach and focusing on flexicurity, we investigate whether, how and under what conditions the discourse on flexicurity provides a point of convergence or divergence between globalisation and Europeanisation. Our empirical data reveals attempts by the European Commission to use globalisation as a legitimating device for a market-accommodating programme for labour market reform. The ILO remains more sceptical, both about the overall effects of globalisation and the more concrete uses of flexicurity. Meanwhile, the concept of flexicurity is subject to change and rearticulation in line with the evolving policy agenda endorsed by the Commission and/or the member states. The relationship between Europe and globalisation is thus far from neutral. ‘Europe’ is active in shaping globalisation; translated into the work undertaken here, Europeanisation could be conceived as a facet of globalisation rather than as a bulwark to it, or merely as a process running parallel to it.     

Sensitivity of consumption to income and to government purchases: some specification and estimation issues

The paper derives a nonlinear error-correction model (ECM) for consumption and shows that existing models that are based on quadratic utility, combine permanent income and current-income consumption, and nest (or could nest) the hypothesis of substitutability between private consumption and government purchases are special cases of the ECM. The importance of some econometric issues that have not received proper attention in the literature is demonstrated by estimating the models using US aggregate quarterly data, 1953:1-1992:4. The evidence suggests that the ECM produces more reliable estimates than do the existing restrictive models.     

“I don’t think Turkish used here is normal”: language attitudes of Turkish university students towards Cypriot Turkish

As a significant factor in social relationships, language attitudes of students are important to explore when building a school culture of tolerance. This study examines the language attitudes of university students from Turkey towards Cypriot Turkish (CT) and Standard Turkish. A mixed methods approach was adopted where 94 Turkish university students studying in the northern part of Cyprus where the two varieties are spoken, responded to a questionnaire in the first phase. The results of the analysis of this survey showed that the participants had somewhat negative attitudes towards CT. In the second phase of the study, where three focus groups were conducted, the findings of the first phase were confirmed. Intertwined with discourses of class, the participants specifically referred to “correctness” and “intelligibility” as important issues for their evaluations of CT and its speakers. CT was also perceived as an important marker of Turkish Cypriotness by the participants and was projected to be lower than any other variety of Turkish spoken in Turkey.

     

Objective methods for graphical structural learning

Graphical models are used for expressing conditional independence relationships among variables by the means of graphs, whose structure is typically unknown and must be inferred by the data at hand. We propose a theoretically sound Objective Bayes procedure for graphical model selection. Our method is based on the Expected-Posterior Prior and on the Power-Expected-Posterior Prior. We use as input of the proposed methodology a default improper prior and suggest computationally efficient approximations of Bayes factors and posterior odds. In a variety of simulated scenarios with varying number of nodes and sample sizes, we show that our method is highly competitive with, or better than, current benchmarks. We also discuss an application to protein-signaling data, which wieldy confirms existing results in the scientific literature.     

Bidder Gains and Losses of Firms Involved in Many Acquisitions

Abstract:  We examine shareholders' wealth effects (both in the short- and the long-run) of UK frequent bidders acquiring public, private, and/or subsidiary targets with alternative methods of payment between 1987 and 2004. We find that, in the short-run, bidders break even when acquiring public targets and gain significantly when buying private and subsidiary targets. This result is robust after controlling for relative size, bidder's book-to-market ratio, target origin, and industry diversification. Our long-run evidence, however, reveals that acquirers experience, significant wealth losses regardless of the target type acquired, indicating that markets may initially overreact to the acquisition announcement. As a result, we argue that contrary to Fuller et al. (2002) who suggest that acquiring private and subsidiary firms creates value for bidding firms, a reliable conclusion on bidders' shareholders wealth effects cannot be based solely on a short-run event study.     

Subsampling the distribution of diverging statistics with applications to finance

In this paper we propose a subsampling estimator for the distribution of statistics diverging at either known or unknown rates when the underlying time series is strictly stationary and strong mixing. Based on our results we provide a detailed discussion of how to estimate extreme order statistics with dependent data and present two applications to assessing financial market risk. Our method performs well in estimating Value at Risk and provides a superior alternative to Hill's estimator in operationalizing Safety First portfolio selection.