Comparative advantage FDI? A host country perspective

Recent empirical studies of the determinants of multinational activity across countries have found overwhelming support for a horizontal rather than a vertical model of foreign direct investment (FDI). They all use US or other developed country data. This paper, in contrast, uses a detailed industry-level data set on FDI in a relatively skilled-labor and capital scarce country, Mexico, to shed light on the determinants of FDI between largely dissimilar countries. The results indicate considerably more support for a comparative advantage motive for FDI, although a market access motive is present as well. The correlation between skill differences and FDI is positive in all industries, but when differences are large, FDI flows into sectors that are intensive in total labor, regardless of skill level. The concentration of multinational activity in (unskilled) labor intensive industries suggests a potential for spillover effects.     

Optimal forecasts in the presence of structural breaks

This paper considers the problem of forecasting under continuous and discrete structural breaks and proposes weighting observations to obtain optimal forecasts in the MSFE sense. We derive optimal weights for one step ahead forecasts. Under continuous breaks, our approach largely recovers exponential smoothing weights. Under discrete breaks, we provide analytical expressions for optimal weights in models with a single regressor, and asymptotically valid weights for models with more than one regressor. It is shown that in these cases the optimal weight is the same across observations within a given regime and differs only across regimes. In practice, where information on structural breaks is uncertain, a forecasting procedure based on robust optimal weights is proposed. The relative performance of our proposed approach is investigated using Monte Carlo experiments and an empirical application to forecasting real GDP using the yield curve across nine industrial economies.     

Riding the US wave: spectrum auctions in the digital age

Given its significant technological advantages compared to analog broadcasting, digital television (DTV) will be the television system of the future. However, it requires a full replacement of analog television sets by digital receivers, as DTV can only be watched with special equipment. In order to make this transition happen smoothly without losing the analog television audience, both signals have to be simulcasted until a substantial coverage with DTV broadcasting has been achieved. Australia and the US meanwhile have established a regulatory framework to lead this transition towards the end of analog broadcasting, the so-called analog switch-off. Part of the US regime is the FCC's obligation to reassign analog frequencies after the switch-off has taken place by means of auction. Spectrum auctions, however, originate not from the US but from New Zealand, where they have been used since the end of 1989 and ever since been subject to legal and political criticism. The article outlines the principles of both the DTV and spectrum auctions regulation and shows the links between both areas of telecommunications regulation. It concludes by suggesting that the analog switch-off is a unique opportunity to reconsider current spectrum policies, as it frees large amounts of the radio spectrum that are today occupied by analog broadcasting and will soon be subject to one of the biggest frequency reassignment processes in the history of telecommunications regulation.     

Combining forecasts: An application to elections

We summarize the literature on the effectiveness of combining forecasts by assessing the conditions under which combining is most valuable. Using data on the six US presidential elections from 1992 to 2012, we report the reductions in error obtained by averaging forecasts within and across four election forecasting methods: poll projections, expert judgment, quantitative models, and the Iowa Electronic Markets. Across the six elections, the resulting combined forecasts were more accurate than any individual component method, on average. The gains in accuracy from combining increased with the numbers of forecasts used, especially when these forecasts were based on different methods and different data, and in situations involving high levels of uncertainty. Such combining yielded error reductions of between 16% and 59%, compared to the average errors of the individual forecasts. This improvement is substantially greater than the 12% reduction in error that had been reported previously for combining forecasts.     

IT Controlling – Concepts and Transformation into Practice

In the first part the paper depicts central IT controlling terms and selected IT controlling concepts of the last decade. In the second part a performance oriented IT controlling concept describes central processes of the IT controlling concept by using a three step life cycle model in terms of a reference model. Finally some important results from a current survey concerning the development of IT controlling in German speaking countries are given. Based on these facts the paper describes the needs for action in academia and practice: The role of the IT controller has been established in German speaking countries, but there is disagreement concerning targets, tasks and processes of IT controlling, cost oriented tasks and reporting are dominating the practitioner’s work, established economic methods of IT controlling are not consistently used in companies. This article is also available in German in print and via http://www.wirtschaftsinformatik.de: Gadatsch A (2009) WIRTSCHAFTSINFORMATIK. doi: 10.1007/11576-009-0166-x.     

Macroeconomic Fluctuations and Bank Lending: Evidence for Germany and the Euro Area

Abstract. This paper analyzes the dynamic response of loans to the private sector and of economic activity to aggregate supply, demand and monetary policy shocks in Germany and the euro area based on a standard macroeconomic VAR using sign restrictions to identify the structural shocks. The main results of this analysis are that (i) with the exception of the response to the supply shock in Germany, the response of loans to the three macroeconomic shocks is rather weak and in most cases insignificant; (ii) the 2000–05 credit slowdown and weak economic performance in Germany were primarily driven by adverse supply shocks; and (iii) the marked slowdown in credit creation in Germany over this period actually represents a realignment of the outstanding stock of loans with its deterministic level. In order to assess the role of bank lending in the transmission of macroeconomic shocks, we further perform counterfactual simulations and analyze the dynamic responses of German loan subaggregates in order to test the distributional implications of potential credit market frictions. These exercises do not indicate that credit market frictions play an amplifying role in the transmission of macroeconomic fluctuations.     

When prices hardly matter: Incomplete insurance contracts and markets for repair goods

This paper looks at markets characterized by the fact that the demand side is insured. In these markets, a consumer purchases a good to compensate consequences of unfavorable events, such as an accident or an illness. Insurance policies in most lines of insurance base indemnity on the insured's actual expenses, i.e., the insured would be partially or completely reimbursed when purchasing certain goods. In this setting, we discuss the interaction between insurance and repair markets by focusing, on one hand, upon the development of prices and the structure of markets with insured consumers, and, on the other hand, the resulting backlash on optimal insurance contracting. We show that even in the absence of ex post moral hazard the extension of insurance coverage will lead to an increase in prices as well as to a socially undesirable increase in the number of repair service suppliers if repair markets are imperfect.     

Ex ante identification of disruptive innovations in the software industry applied to web applications: The case of Microsoft's vs. Google's office applications

This paper analyzes the question whether web applications pose a disruptive threat to incumbents or a disruptive growth opportunity for entrants in the application software industry using a novel method for ex ante identification of disruptive innovations in the software industry. Building on the theory of disruptive innovations, network effects and existing frameworks for the ex ante identification of disruptive innovations a new method of analysis is deduced. The analysis is based on a list of criteria that indicate a disruptive innovation and trajectory maps of the technologies' performance attributes. This method is applied to study the potential disruption of Microsoft's desktop office applications by Google's web-based office applications.The chosen method of analysis indicates a small likelihood for web applications to pose a disruptive threat to Microsoft, and by extension, to incumbents in the software industry. While web applications show a potential to satisfy market demand in established performance attributes, strong network effects in existing software products should give incumbents enough time to co-opt the innovation. The case illustrates how our new method to analyze disruptive potential in the software industry ex ante can help to apply the theory of disruptive innovation better for forecasting purposes and to provide novel strategic insights for the players involved.     

Cost data quality considerations for eco-efficiency measures

Cost data are a central aspect of eco-efficiency measures, either as means to assess value of production, or, more directly, as one dimension of the efficiency ratio. Several aspects may affect the quality of cost data, among them definitions, time and space, and confidentiality issues. Somewhat surprisingly, cost data quality has received little attention in the field of sustainability and eco-efficiency so far. Even worse, perhaps, is the lack of tools suitable for a cost data quality assessment and management.This paper discusses parameters that affect cost data quality, and will then propose a pedigree matrix as a tool designed for managing cost data quality issues. The application of the matrix is described, also in combination with a previously proposed, and broadly used, pedigree matrix for environmental data quality management.     

Cross-cultural entrepreneurship research: Current status and framework for future studies

Although cross-cultural research in the field of entrepreneurship is still in its infancy as a research stream, it offers important inferences for both theory and practice. Some have criticized the relative immaturity of previous survey-based studies’ methodology. In order to address this flaw, we analyze existing survey-based studies in the field of cross-cultural entrepreneurship to identify research gaps in content and methodology and then derive the most appropriate analytical approach to fill the gaps for this type of research. Finally, we present a practical framework in which to conduct sound and prudent future studies, integrating the most appropriate analytical approach, general methodological insights, and the particularities of entrepreneurship research in a cross-cultural setting.