Towards a Measure of Core Inflation using Singular Spectrum Analysis

This paper constructs a number of possible core measures of inflation using singular spectrum analysis (SSA). Annual changes in monthly inflation are decomposed into its trend, oscillatory and noise components in order to develop an understanding of the trend and cyclicality in South African headline inflation. Three cyclical components with differing amplitude and frequency are identified. The trend and cyclical components of inflation are found to be a good approximation of core inflation, the inertial part of inflation. These core measures are compared with other candidate core measures based on the properties of a good core inflation measure. Generally, the SSA measures outperform commonly used measures of core inflation based on both in‐ and out‐of‐sample performance.     

Additionality of public R&D grants in a transition economy

This paper examines the input and output additionality of public R&D subsidies in Western and Eastern Germany. We estimate the impact of public R&D grants on firms’ R&D and innovation input. Based on the results of this first step we compare the impact of publicly funded private R&D on innovation output with the output effect of R&D funded out of firms’ own pockets. We employ microeconometric evaluation methods using firm‐level data derived from the Mannheim Innovation Panel. Our results point towards a large degree of additionality in public R&D grants with regard to innovation input measured as R&D expenditures and innovation expenditures, as well as with regard to innovation output measured by patent applications. Input additionality has been more pronounced in Eastern Germany during the transition period than in Western Germany. However, R&D productivity is still larger for the established Western German innovation system than for Eastern Germany. Hence, a regional redistribution of public R&D subsidies might improve the overall innovation output of the German economy.     

Wrapped input selection using multilayer perceptrons for repeat‐purchase modeling in direct marketing

In this paper, we try to validate existing theory on and develop additional insight into repeat‐purchase behavior in a direct marketing setting by means of an illuminating case study. The case involves the detection and qualification of the most relevant RFM (Recency, Frequency and Monetary) variables, using a neural network wrapper as our input pruning method. Results indicate that elimination of redundant and/or irrelevant inputs by means of the discussed input selection method allows us to significantly reduce model complexity without degrading the predictive generalization ability. It is precisely this issue that will enable us to infer some interesting marketing conclusions concerning the relative importance of the RFM predictor categories and their operationalizations. The empirical findings highlight the importance of a combined use of RFM variables in predicting repeat‐purchase behavior. However, the study also reveals the dominant role of the frequency category. Results indicate that a model including only frequency variables still yields satisfactory classification accuracy compared to the optimally reduced model. Copyright © 2001 John Wiley & Sons, Ltd.     

Asymmetric Properties of Office Rent Adjustment

In this paper we use an error correction model for understanding the changes in real office rents for a panel of 15 U.S. MSA’s over the period 1990-2007. We find that office rents in all cities react positively to a rise in office employment and lagged rent changes, while lagged deviations from equilibrium rent levels exhibit a slow and partial adjustment over time. Given the non-negativity constraint of vacancy rates we extend the basic model by examining whether rents react to positive changes in employment conditional on the vacancy rate level. Our results show that office rents react significantly stronger to increases in employment when vacancy rates are below the long-term average. We also repeat the analysis for clusters of cities based on similarities in rent and employment dynamics using multi dimensional scaling. The cluster results confirm the overall conclusions and show that our results are not solely valid for the full panel of cities.     

IPO underpricing,signaling, and property returns

This paper investigates whether IPO signals reveal proprietary information about the prospects of an issuing firm’s underlying industry. By analyzing a sample of European property company (EPC) IPOs from 1997 to 2007, we take advantage of a heterogeneous set of industry performance measures, i.e., yields and total returns of direct property investments in various European property markets that can be clearly assigned to each individual IPO. The results reveal that the main signal of interest, underpricing, is in fact positively related to average property yields for a 12-month post-IPO period; a result that supports our assumption. Other signals, as proposed in previous research, do not appear to contain any information about the prospects of the IPO firm’s target property investment market. We also show that total returns seem to be a biased measure for direct property performance. Further tests for the signaling model’s preconditioned presence of information asymmetry among EPCs reveal that underpricing levels are a function of company-specific ex ante uncertainty proxies. In contrast, property-specific ex ante uncertainty proxies do not explain underpricing levels.     

Multihoming, content delivery networks, and the market for Internet connectivity

Peering points between different Internet service providers (ISPs) are among the bottlenecks of the Internet. Multihoming (MH) and content delivery networks (CDNs) are two technical solutions to bypass peering points and to improve the quality of data delivery. So far, however, there is no research that analyzes the economic effects of MH and CDNs on the market for Internet connectivity. This paper develops a static market model with locked-in end users and paid content. It shows that MH and CDNs create the possibility for terminating ISPs to engage in monopolistic pricing towards content providers, leading to a shift of rents from end users and content providers to ISPs. Implications for future innovations are discussed.     

Management of international strategic business cooperation: Situational conditions,performance criteria,and success factors

In recent years, international strategic business cooperation has attracted great attention in both international management theory and practice. Several prominent examples demonstrate that interfirm alliances can no longer be viewed as second‐best solutions but must be recognized as efficient forms of internationalization. In this article, the specific management problems of international strategic business cooperation are analyzed and a systematic approach for their solution is presented. After outlining three examples that represent three different forms of international strategic business cooperation, a conceptual framework is developed that integrates three different perspectives: situational conditions, management instruments, and performance criteria. In the main part of the article, five success factors of international strategic business cooperation (partner selection, cooperation agreement, management structure, acculturation process, and knowledge management) are discussed. The article ends with a short summary and implications for further research. © 2004 Wiley Periodicals, Inc.