Ascending auctions for multiple objects: the case for the Japanese design

Summary. We consider two ascending auctions for multiple objects, namely, an English and a Japanese auction, and derive a perfect Bayesian equilibrium of the Japanese auction by exploiting its strategic equivalence with the survival auction, which consists of a finite sequence of sealed-bid auctions. Thus an equilibrium of a continuous time game is derived by means of backward induction in finitely many steps. We then show that all equilibria of the Japanese auction induce equilibria of the English auction, but that many collusive or signaling equilibria of the English auction do not have a counterpart in the Japanese auction.Received: 2 September 2004, Revised: 20 April 2005, JEL Classification Numbers: C72, D44.Fabrizio Germano: Correspondence toWe are indebted to Philippe Jehiel for useful discussions and to Nicolas Vieille for suggestions in the proof of Proposition 2; we also thank seminar audiences in Athens, Basel, Beer-Sheva, Berlin, Brussels, Cambridge, Edinburgh, Exeter, Lausanne, Lisbon, London, Louvain-la-Neuve, Namur and Tel Aviv. Germano acknowledges financial support from Euopean Commission, TMR Network Grant ERBFMRXCT0055, “Cooperation and Information” as well from the Spanish Ministry of Science and Technology, Grants SEC2001-0792, SEJ2004-06319, and in form of a Ramon y Cajal Fellowship. Lovo is member of GREGHEC, unité CNRS, FRE-2810. The support of the Economic and Social Research Council (ESRC) is also gratefully acknowledged. The work was part of the programme of the ESRC Research for Economic Learning and Social Evolution.     

Stockbot: a monitoring and acting software agent for stock markets

Stockbot is a software agent designed for the task of monitoring an electronic stock market in order to execute investor purchase or sale orders. Stockbot represents a tool for managing the dynamical complexity of electronic stock markets by establishing a virtual portfolio manager. Its main goal is to exhibit a behaviour which is a timely, continuous, dynamical response to changes in the market situations in accordance to the user profile and goals. The software agent maintains and dynamically updates a user model which records histories of previous user orders, patterns of user observed behaviour, and user preferences and goals. The software architecture integrates conventional and knowledge-based software technologies such as conditional and iterative planning, continuous conditions monitoring, robust failure management, inter-agent communication primitives and events networks. A Dynamical Query Language is used to describe stockbot behaviour. Copyright © 1999 John Wiley & Sons, Ltd.     

Housing, consumption and monetary policy: How different are the US and the euro area?

This paper provides a systematic empirical analysis of the role of the housing market in the macroeconomy in the US and the euro area. First, it establishes some stylised facts concerning key variables in the housing market on the two sides of the Atlantic, such as real house prices, residential investment and mortgage debt. It then presents evidence from Structural Vector Autoregressions (SVAR) by focusing on the effects of monetary policy, credit supply and housing demand shocks on the housing market and the broader economy. The analysis shows that similarities outweigh differences as far as the housing market is concerned. The empirical evidence suggests a stronger role for housing in the transmission of monetary policy shocks in the US. The evidence is less clear-cut for housing demand shocks. Finally, credit supply shocks seem to matter more in the euro area.     

Relationship lending,hierarchical distance and credit tightening: Evidence from the financial crisis

This paper examines the firms’ credit availability during the 2007–2009 financial crisis using a dataset of 5331 bank–firm relationships provided by borrowers’ credit folders of three Italian banks. It aims to test whether a strong lender–borrower relationship can produce less credit rationing for borrowing firms even during a credit crunch period. The results show that exclusivity of the relationship can mitigate the firm credit rationing. We also verify the influence of lending organizational structure during crisis. A new measure of distance in lending technologies has been introduced: the hierarchical distance calculated as the distance between the branch that originates the loan and the location of the hierarchical level responsible for financing decision. Our findings document a negative impact of distance on credit availability, consistent with the idea that proximity facilitates the transmission of soft information.     

Accounting and governance in the final years of the Papal States: Dual roles in the papacy of Pius IX (1846–1870)

The Papal States represent a unique and long period in Italian government and in the government of the Roman Catholic Church prior to Italy's unification in 1870. The 25-year period prior to unification was a particularly tumultuous period when the Papal States struggled for survival, faced military and popular challenges and became increasingly indebted. Accounting could become an important tool to assist decision-making and enhance the Papal States' sustainability, as shown by the governance reforms promulgated by Pope Pius IX in this period. Nevertheless, accountants chose what to make visible and emphasised secular, rather than the sacred aspects of the Papal States. Despite reforms, there was a disconnection between the leaders and the accountants. This research therefore examines the role of accounting in such an institution, and extends the concept of a sacred-secular divide to a state government beset by resource constraints and challenged to fulfil its spiritual aims.     

The Stability of Tax Elasticities over the Business Cycle in European Countries

We estimate short‐ and long‐run tax elasticities that capture the relationship between changes in national income and tax revenue. We show that the short‐run tax elasticity changes according to the business cycle. We estimate a two‐state Markov‐switching regression on a novel data set of tax policy reforms in 15 European countries from 1980 to 2013, showing that the elasticities during booms and recessions are statistically (and often economically) different. The elasticities of personal income taxes, corporate income taxes, indirect taxes and social contributions tend to be larger during recessions. Estimates of long‐run elasticities are in line with existing literature.     

Dynamic factor model with infinite‐dimensional factor space: Forecasting

The paper compares the pseudo real‐time forecasting performance of three dynamic factor models: (i) the standard principal component model introduced by Stock and Watson in 2002; (ii) the model based on generalized principal components, introduced by Forni, Hallin, Lippi, and Reichlin in 2005; (iii) the model recently proposed by Forni, Hallin, Lippi, and Zaffaroni in 2015. We employ a large monthly dataset of macroeconomic and financial time series for the US economy, which includes the Great Moderation, the Great Recession and the subsequent recovery (an update of the so‐called Stock and Watson dataset). Using a rolling window for estimation and prediction, we find that model (iii) significantly outperforms models (i) and (ii) in the Great Moderation period for both industrial production and inflation, and that model (iii) is also the best method for inflation over the full sample. However, model (iii) is outperformed by models (ii) and (i) over the full sample for industrial production.     

Imperfect Behavior‐Based Price Discrimination

In this article, we develop a model encompassing behavior‐based discriminatory pricing as a limit case of a more general framework where firms have incomplete information about consumers’ purchase histories. We show that information accuracy has a nonmonotonic impact on profits and the worst situation for firms is when information accuracy is intermediate. We also discuss welfare and consumer surplus implications of information accuracy. Although welfare monotonically decreases with the level of information accuracy, there is an inverse U‐shape relationship between consumers surplus and information accuracy.     

Paving the road toward eco-effectiveness: Exploring the link between greenhouse gas emissions and firm performance

Climate change has increasingly attracted business attention over the last decade, focusing particularly on the eco-efficiency debate. The goal of this paper is twofold. First, we contribute to the ongoing debate on the effects of environmental strategies on firm performance. We investigate this relationship by considering the relative greenhouse gas emissions (GHG) as a predictor of the eco-efficiency of firms' environmental strategies. GHG emissions are a direct indicator of the environmental performance and effectively measure the firm's efforts in mitigating the impacts related to its processes and products. Second, we investigate the drivers that lead to an increase in the firm's environmental impact under the conditions of increasing market performance by the firm, therefore paving the road to the concept of eco-effectiveness of corporate environmental strategies. To test our hypotheses, we use a sample of worldwide listed companies derived from the S&P 1200 list. A longitudinal analysis is run through generalized least squares regression models over the period 2004–2016. Results offer evidence of the direct relationship between the level of absolute emissions and market performance of the firm. Therefore, the findings have significant implications on the way we conceptualize corporate environmental sustainability and environmental strategies, shedding new light on the relation between environmental pressures and corporate growth.     

Ambidextrous work in smart city project alliances: unpacking the role of human resource management systems

Abstract

Organizations that are competing in dynamic global markets are increasingly adopting ambidextrous strategies where exploration and exploitation capabilities are combined simultaneously. However, ambidextrous work raises new challenges for human resource management (HRM). Based on 21 interviews with managers in seven multinational firms in Europe, we investigate how ambidextrous work in smart city work is supported through HRM systems. Our findings suggest a complex mix of three different HRM systems (one at corporate and two at project levels) designed to support ambidextrous exploratory and exploitation work. Specifically, corporate HRM systems focused on incentives and development of dual capabilities for smart city managers (SCMs). At project levels, interconnected explorative and exploitative HRM systems offered tailored managerial tools to support social integration and knowledge management between internal and external employees. Theoretical contributions, future research paths, and practical implications are addressed.