Beyond the Urban–Suburban Divide: Urbanization and the Production of the Urban in Zurich North

Starting from current debates on ‘global suburbanism' and ‘postsuburbia', this article explores the changes that the former ‘urban periphery' of Zurich North has experienced in the last three decades. It mobilizes Henri Lefebvre's triadic concept of conceived, perceived and lived space in aid of an analysis of the profound urban transformations that can be observed. The construction of a new tramline serves as a guideline for an analysis of the implementation of new governance arrangements strengthening cross‐border cooperation between individual municipalities and new strategies of cooptation and expertise. This resulted in the production of new urban structures which led to a more densely woven and connected urban fabric primarily providing spaces for the headquarter economy and middle‐class housing. Concomitantly, great efforts have been made to create new public spaces, an urban image and even an urban atmosphere. These have proved at least partially successful, thus promoting a symbolic redefinition of the former urban periphery as a distinctively ‘urban' space. Conventional definitions and concepts no longer suffice to adequately understand such novel urban forms, leading to the conclusion that division into an ‘urban' and a ‘suburban' world is no longer a useful tool for urban analysis.     

STRUCTURAL VECTOR AUTOREGRESSIONS: CHECKING IDENTIFYING LONG‐RUN RESTRICTIONS VIA HETEROSKEDASTICITY

Long‐run restrictions have been used extensively for identifying structural shocks in vector autoregressive (VAR) analysis. Such restrictions are typically just‐identifying but can be checked by utilizing changes in volatility. This paper reviews and contrasts the volatility models that have been used for this purpose. Three main approaches have been used, exogenously generated changes in the unconditional residual covariance matrix, changing volatility modelled by a Markov switching mechanism and multivariate generalized autoregressive conditional heteroskedasticity models. Using changes in volatility for checking long‐run identifying restrictions in structural VAR analysis is illustrated by reconsidering models for identifying fundamental components of stock prices.     

Modelling of repairable systems with various degrees of repair

The availability of a stochastic repairable system depends on the failure behaviour and on repair strategies. In this paper, we deal with a general repair model for a system using auxiliary counting processes and corresponding intensities which include various degrees of repair (between minimal repair and perfect repair). For determining the model parameters we need estimators depending on failure times and repair times: maximum likelihood (ML) estimator and Bayes estimators are considered. Special results are obtained by the use of Weibull-type intensities and random observation times.     

Understanding Russian regions’ economic performance during periods of decline and growth—An extreme bound analysis approach

This article uses “extreme-bound”-type analysis to revisit the determinants behind the widely differing economic growth in Russian regions prior to the recent global financial crisis. Using data of regional growth in 1995–2006 for 77 Russian regions, it examines the growth drivers for the phase of economic decline up to 1998 and for the period of strong growth afterwards separately. Looking at forty variables considered to be potentially related to growth, it determines, for each of the two periods, the ones robustly associated with Russian economic performance. Among the variables considered are proxies of politico-institutional features, indicators of economic reform, and measurements of both economic and non-economic initial conditions. The main findings are as follows: during the period of economic decline up to 1998, differences in Russian regional growth were almost entirely driven by initial conditions, with resource and human capital endowments, industrial structure, and geographical location playing the dominant roles. However, after the 1998 crisis, the importance of initial conditions declined and was basically reduced to fuel production, advantageous geographical location, and population structure. There is also some evidence that more reform-oriented policies and better regional leadership made a difference. These results could be seen as pointing to determinants of economic performance in periods of actual economic decline being different from those in normal times of economic growth.     

How to control a chaotic economy?

An economic system which exhibits chaotic behaviour has been stabilized on various periodic orbits by use of the Ott-Grebogi-Yorke method. This procedure has been recently applied to controlling chaotic phenomena in physical, chemical and biological systems. We adopt this method successfully for Feichtinger's generic model of two competing firms with asymmetrical investment strategies. We show that the application of this control method to the particular economic process considered brings a substantial advantage: one can easily switch from a chaotic trajectory to a regular periodic orbit and simultaneously improve the system's economic properties. Numerical simulations are presented in order to illustrate the effectiveness of the whole procedure.The work was supported by the Alexander von Humboldt-Stiftung and by the Polish National Council (KBN) Grant No 2 P302 038 04.     

Are we nice(r) to nice(r) people?—An experimental analysis

We experimentally investigate whether individuals can reliably detect cooperators (the nice(r) people) in an anonymous decision environment involving “connected games.” Participants can condition their choices in an asymmetric prisoners’ dilemma and a trust game on past individual (their partner’s donation share to a self-selected charity) and social (whether their partner belongs to a group with high or low average donations) information. Thus, the two measures of niceness are the individual donation share in the donation task, and the cooperativeness of one’s choice in the two games. We find that high donors achieve a higher-than-average expected payoff by cooperating predominantly with other high donors. Group affiliation proved to be irrelevant. Electronic Supplementary Material Supplementary material is available in the online version of this article at . JEL Classification C91, C72, D3