Urban Geographies of Hesitant Transition: Tracing Socioeconomic Segregation in Post‐Ceauşescu Bucharest

Scholars have raised concerns about the social costs of the transition from state socialism to capitalism in Central and Eastern Europe, and geographers are particularly interested in the spatial expressions and implications of these costs, including apparently increasing residential segregation. Applying a range of segregation measures to 1992 and 2002 census data, this contribution studies socio‐occupational residential segregation in Bucharest. The conclusion is that Bucharest was relatively socio‐spatially mixed at both times; in fact, a modest, yet fully legible, decreasing overall trend is observable. This is at odds with many popular assumptions of the past 20 years.     

Development by Decree: The Limits of ‘Authoritarian Modernization’ in the Russian Federation

The apparent success of state‐managed market economies has challenged the conventional wisdom that liberal democracy is the norm around which all capitalist countries tend to converge. If the link between democracy and development is more tenuous than we often think, the authoritarian variety of capitalism is not without its own problems, especially with respect to political legitimacy, innovation and regional development. This article explores these issues through the prism of ‘authoritarian modernization’ in Russia. We argue that this strategy is unlikely to succeed, even in its own terms, because (1) the political system fails to create favourable institutional conditions for modernization; (2) the economic system is beset by deeply embedded structural problems; and (3) the regional policy apparatus is torn between the goals of spatial equalization and spatial agglomeration. The article focuses on the Skolkovo Innovation Centre, the main symbol of Russian modernization, to demonstrate the territorial repertoire of the mega‐project, a state‐sponsored development strategy to create innovation clusters from above because they cannot emerge from below.     

EXTREME VALUE THEORY IN FINANCE: A SURVEY

Extreme value theory is concerned with the study of the asymptotic distribution of extreme events, that is to say events which are rare in frequency and huge in magnitude with respect to the majority of observations. Statistical methods derived from it have been employed increasingly in finance, especially for risk measurement. This paper surveys some of those main applications, namely for testing different distributional assumptions for the data, for Value‐at‐Risk and Expected Shortfall calculations, for asset allocation under safety‐first type constraints, and for the study of contagion and dependence across markets under conditions of stress.     

THE IMPACT OF LABOR MARKET REGULATION ON EMPLOYMENT IN LOW‐INCOME COUNTRIES: A META‐ANALYSIS

Controversy over labor market policy often centers on achieving a balance between preventing worker exploitation, and avoiding loss of productivity or employment through excessive regulation. Although the literature documenting the impact of labor market regulation on employment is extensive, there is a dearth of evidence on the impact of such policies in low‐income countries (LICs). Since it is easier for workers, especially women, to slip into the informal sector in LICs, regulations are likely to have stronger impacts on formal employment in these countries (but lower impacts on unemployment). We systematically reviewed available research from countries that are, or were until recently, LICs. Most studies document that more stringent labor regulations are associated with lower formal sector employment and higher informal sector employment. We also conducted a metaregression analysis of the impact of minimum wages on formal and informal employment. After controlling for publication bias, higher minimum wages are associated with lower formal employment and a higher share of informal workers.     

Structuring of temporary multi‐organizations: Contingency theory in the building sector

The appropriate management of construction projects presupposes a clear comprehension of the structure of the temporary multi‐organization (TMO); however, most of the work on the structuring of TMOs has concentrated either on procurement strategies or the structure of individual organizations. Current approaches, therefore, do not fully consider the roles of all project stakeholders, the informal communications, and the complexity of the client organization. Instead, we argue that the contingency theory contributes to the understanding of the structuring of TMOs. The analysis of 27 recent construction projects allows us to identify two contingency factors and patterns of configuration of the TMO.     

Asymptotic comparison at optimal levels of reduced‐bias extreme value index estimators

In this article we are interested in the asymptotic comparison, at optimal levels, of a set of semi‐parametric reduced‐bias extreme value (EV) index estimators, valid for a wide class of heavy‐tailed models, underlying the available data. Again, as in the classical case, there is not any estimator that can always dominate the alternatives, but interesting clear‐cut patterns are found. Consequently, and in practice, a suitable choice of a set of EV index estimators will jointly enable us to better estimate the EV index γ, the primary parameter of extreme events.     

LACK OF RIGOUR IN DEFENDING FAIRTRADE: A REJOINDER TO ALISTAIR SMITH

Smith (2010 ) does not deny that he made errors in economic theory, logic and fact, and that he had misused evidence. He says that I misrepresented a large body of theory, that I distorted what he said in four places and that I was wrong in one sentence. These statements are false.     

Alternative Approaches to Multilevel Modelling of Survey Non‐Contact and Refusal

We review three alternative approaches to modelling survey non‐contact and refusal: multinomial, sequential, and sample selection (bivariate probit) models. We then propose a multilevel extension of the sample selection model to allow for both interviewer effects and dependency between non‐contact and refusal rates at the household and interviewer level. All methods are applied and compared in an analysis of household non‐response in the United Kingdom, using a data set with unusually rich information on both respondents and non‐respondents from six major surveys. After controlling for household characteristics, there is little evidence of residual correlation between the unobserved characteristics affecting non‐contact and refusal propensities at either the household or the interviewer level. We also find that the estimated coefficients of the multinomial and sequential models are surprisingly similar, which further investigation via a simulation study suggests is due to non‐contact and refusal having largely different predictors.     

Properties of Census Dual System Population Size Estimators

We study parametric and non‐parametric approaches for assessing the accuracy and coverage of a population census based on dual system surveys. The two parametric approaches being considered are post‐stratification and logistic regression, which have been or will be implemented for the US Census dual system surveys. We show that the parametric model‐based approaches are generally biased unless the model is correctly specified. We then study a local post‐stratification approach based on a non‐parametric kernel estimate of the Census enumeration functions. We illustrate that the non‐parametric approach avoids the risk of model mis‐specification and is consistent under relatively weak conditions. The performances of these estimators are evaluated numerically via simulation studies and an empirical analysis based on the 2000 US Census post‐enumeration survey data.     

Ecosystem cross‐sector collaboration: conceptualizing an adaptive approach to sustainability governance

This paper explores the theoretical underpinnings of collaboration and ecosystem management in order to identify the relationships and processes involved in implementing ecosystem management programs through cross‐sector collaboration. Ecosystem management requires a highly adaptive and resilient social–ecological governance approach, which addresses spatiality and temporality issues. In order to explore possible implementation issues with ecosystem management, propositions are developed dealing with adaptive governance, institutional isomorphism and collective action. The paper concludes with a discussion of the theoretic underpinnings involved in implementing ecosystem management through cross‐sector collaborations. Copyright © 2010 John Wiley & Sons, Ltd and ERP Environment.