From Socialist Subject to Capitalist Object: Industry Enclave Life Past and Present in Wuhan

There is no better place to explore the relationship of industry enclaves to urban life than China, where traditional danweis (work units) have coexisted with new foreign direct investment enclaves. Here we draw on original interviews with workers at Wuhan Iron and Steel Company (WISCO) and Foxconn in the city of Wuhan to examine industry enclaves old and new in terms of their spatial arrangement, work, institutions, and social life and identity. The article is one of the first to integrate urban and economic geographical perspectives on the subject of enclaves. It provides evidence of similarities and contrasts in the spatial arrangement of work, institutions, life and identity centred on industry enclaves old and new. These contrasts reflect wider relations between the state and the market and between social subject and commodified labour in China. In conclusion, we identify several research directions concerning the scale, diversity and reach of urban enclavism in China and beyond.     

Stock returns and volatility: Evidence from the Athens Stock market index

This paper investigates the volatility of the Athens Stock excess stock returns over the period 1990–1999 through the comparison of various conditional hetero-skedasticity models. The empirical results indicate that there is significant evidence for asymmetry in stock returns, which is captured by a quadratic GARCH specification model, while there is strong persistence of shocks into volatility.     

CREDIBILITY, MACROECONOMIC FUNDAMENTALS AND MARKOV REGIME SWITCHES IN THE EMS

The main objective of this paper is to use the Markov regime‐switching modelling framework to describe and analyse the credibility of a number of countries participating in the European Monetary System during 1980–1998. Our credibility indicator, based on Hughes Hallet et al.'s (1997) methodology, is subject to discrete regime shifts and is made dependent on macroeconomic fundamentals. We carry out extensive testing to assess the specification of the Markov regime‐switching model and the potential existence of permanent breaks. A contribution of our paper is the specification of a multivariate Markov switching model that allows us to examine whether macroeconomic variables have asymmetric effects on credibility. Another contribution is the specification of a regime‐switching model with time‐varying transition probabilities, which enables us to determine whether changes in macroeconomic variables can trigger switches between the low and high credibility regimes. We find strong evidence of regime switching behaviour in all countries. Both the level of credibility and the transition probabilities display an asymmetric response to changes in macroeconomic variables, with the stance of fiscal policy exerting the most systematic influence in all countries.     

Upward influence tactics and their effects on job performance ratings and flexible working arrangements: The mediating roles of mutual recognition respect and mutual appraisal respect

Supervisor's human resources (HR) decisions have a significant impact on the employees they manage but have been found to be subject to bias. The upward influence tactics use by subordinates can play a role in this. We investigated the effects of seven upward influence tactics on supervisor job‐performance ratings and the extent of subordinate flexible working arrangements (FWAs). Supervisors are often responsible for determining whether employees are granted FWAs. We posit an alternative theoretical mechanism by which upward influence tactics bring about their effects, mediated through two distinct types of respect, mutual appraisal respect and mutual recognition respect. We collected data from 389 matched supervisor–subordinate dyads, and found that both mutual appraisal respect and mutual recognition respect mediated relationships between several upward influence tactics and both job‐performance ratings and FWAs. Our findings show that upward influence tactics affect the quality of the relationship between employees and their supervisors, specifically, these two forms of mutual respect. Further, both mutual appraisal respect and mutual recognition respect may explain why supervisors show favoritism to some subordinates over others, in reaching HR decisions in these areas.     

Learning and stability of the Bayesian–Walrasian equilibrium

Under the Bayesian–Walrasian Equilibrium (BWE) (see Balder and Yannelis, 2009), agents form price estimates based on their own private information, and in terms of those prices they can formulate estimated budget sets. Then, based on his/her own private information, each agent maximizes interim expected utility subject to his/her own estimated budget set. From the imprecision due to the price estimation it follows that the resulting equilibrium allocation may not clear the markets for every state of nature, i.e., exact feasibility of allocations may not occur. This paper shows that if the economy is repeated from period to period and agents refine their private information by observing the past BWE, then in the limit all agents will obtain the same information and market clearing will be reached. The converse is also true. The analysis provides a new way of looking at the asymmetric equilibrium which has a statistical foundation.     

Estimating the economic benefits of acidic rock drainage clean up using cost shares

This paper reports the results of a stated preference study that estimates the economic value for cleaning up acid rock drainage in Colorado's Snake River watershed. In contrast to much of the existing literature, the present study emphasizes benefit estimation for three implementing projects rather than benefit estimation for general changes in water quality or large scale water quality policy. The focus on implementing projects delivers information that is specifically relevant to current decisions being faced in the watershed. While valuation questions in most stated preference studies present costs that have no relation to actual project costs, this study presents a new cost share approach. Project costs are estimated and then valuation questions present different local cost shares to subjects. This approach facilitates stated cost variation necessary for estimating the mean of the distribution of project values without resorting to experimentally designed, fictitious stated costs. In addition to estimating the mean value, which facilitates benefit cost analysis, the study also provides median value estimates, which provide insights into the political feasibility of these projects. Study results suggest that local cost shares on the order of 20%-40%, depending on the project, are politically feasible.     

Default estimation,correlated defaults,and expert information

Capital allocation decisions are made on the basis of an assessment of creditworthiness. Default is a rare event for most segments of a bank's portfolio and data information can be minimal. Inference about default rates is essential for efficient capital allocation, for risk management and for compliance with the requirements of the Basel II rules on capital standards for banks. Expert information is crucial in inference about defaults. A Bayesian approach is proposed and illustrated using prior distributions assessed from industry experts. A maximum entropy approach is used to represent expert information. The binomial model, most common in applications, is extended to allow correlated defaults yet remain consistent with Basel II. The application shows that probabilistic information can be elicited from experts and econometric methods can be useful even when data information is sparse. Copyright © 2009 John Wiley & Sons, Ltd.     

Intermediation for technology diffusion and user innovation in a developing rural economy: a social learning perspective

Technology intermediaries are seen as potent vehicles for addressing perennial problems in transferring technology from university to industry in developed and developing countries. This paper examines what constitutes effective user-end intermediation in a low-technology, developing economy context, which is an under-researched topic. The social learning in technological innovation framework is extended using situated learning theory in a longitudinal instrumental case study of an exemplar technology intermediation programme. The paper documents the role that academic-related research and advisory centres can play as intermediaries in brokering, facilitating and configuring technology, against the backdrop of a group of small-scale pisciculture businesses in a rural area of Colombia. In doing so, it demonstrates how technology intermediation activities can be optimized in the domestication and innofusion of technology amongst end-users. The design components featured in this instrumental case of intermediation can inform policy making and practice relating to technology transfer from university to rural industry. Future research on this subject should consider the intermediation components put forward, as well as the impact of such interventions, in different countries and industrial sectors. Such research would allow for theoretical replication and help improve technology domestication and innofusion in different contexts, especially in less-developed countries.     

Economic forecast quality: information timeliness and data vintage effects

This paper investigates the impact of the timeliness of information releases and data vintage variation on economic forecast quality. Specifically, using a set of 63 key US economic series, we provide a concise measure of the forecast accuracy associated with use of economic activity indices with different publication lags. A forecasting model based on an economic activity index that is subject to a short publication lag (viz. the Aruoba-Diebold-Scotti index) is more efficient than competing models. Moreover, if this publication lag advantage is removed (by artificially imposing a publication lag restriction comparable to that of a competing indicator) this efficiency largely disappears. The final part of the analysis employs a novel (simulation-based) method of assessing the impact of data vintage variation on forecast accuracy, and finds that the results are somewhat sensitive to such variation.     

Errors, robustness, and the fourth quadrant

The paper presents evidence that econometric techniques based on variance–L² norm–are flawed and do not replicate. The result is un-computability of the role of tail events. The paper proposes a methodology to calibrate decisions to the degree (and computability) of forecast error. It classifies decision payoffs in two types: simple (true/false or binary) and complex (higher moments); and randomness into type-1 (thin tails) and type-2 (true fat tails), and shows the errors for the estimation of small probability payoffs for type 2 randomness. The fourth quadrant is where payoffs are complex with type-2 randomness. We propose solutions to mitigate the effect of the fourth quadrant, based on the nature of complex systems.