2,063 research outputs found
LawSync: Collaboration in Action
A presentation about collaboration, itself the product of a collaboration, looking at a collaborative project as an example of the value of people from different teams working together! That was us at BIALL 2014 in Glasgow, a conference which took as its theme ‘law as a business.
LawSync: navigating the ‘blue oceans’ within the ‘emerging’ legal services markets
Change, it is said, is the only constant. Whilst it cannot be avoided, the worlds of legal education and legal services have arguably enjoyed an extended period where the impact of change has been comparatively minimal. Today, these worlds face significant changes due to a combination of market and regulatory forces. True, such changes are likely to be accompanied by challenges but with these challenges come opportunities. There is no reason why Law Schools and Law students cannot help to shape these changes and benefit from them. LawSyncâ„¢ is a project that seeks to enable such influence and attract such benefits at Sheffield Hallam University. See http://www.lawsync.com and http://twitter.com/lawsync for more details
International Lessons for Promoting Transit Connections to High-Speed Rail Systems
As the California High-Speed Rail (HSR) project becomes reality, many communities involved in, or affected by, the California HSR project have considered how to connect the new HSR passenger services to local urban transportation systems – such as bus and light rail systems – and how they can take advantage of HSR accessibility and speed throughout the state. European and other overseas systems have decades of experience in forging connections between HSR and various transportation options. This study examines international HSR stations and identifies patterns in transit connections associated with stations on the basis of size, population levels, and other characteristics. Additionally, a closer examination is made of the lessons that can be learned from a strategic sample of overseas HSR stations, correlated to similar cities in the planned California system. Generally, the findings from the comparison suggest that California cities must make significant strides to approach the level of integration and ease of access to other modes that systems outside the U.S. now enjoy
Spatial Filtering and Eigenvector Stability: Space-Time Models for German Unemployment Data
Regions, independent of their geographic level of aggregation, are known to be interrelated partly due to their relative locations. Similar economic performance among regions can be attributed to proximity. Consequently, a proper understanding, and accounting, of spatial liaisons is needed in order to effectively forecast regional economic variables. Several spatial econometric techniques are available in the literature, which deal with the spatial autocorrelation in geographically-referenced data. The experiments carried out in this paper are concerned with the analysis of the spatial autocorrelation observed for unemployment rates in 439 NUTS-3 German districts. We employ a semi-parametric approach – spatial filtering – in order to uncover spatial patterns that are consistently significant over time. We first provide a brief overview of the spatial filtering method and illustrate the data set. Subsequently, we describe the empirical application carried out: that is, the spatial filtering analysis of regional unemployment rates in Germany. Furthermore, we exploit the resulting spatial filter as an explanatory variable in a panel modelling framework. Additional explanatory variables, such as average daily wages, are used in concurrence with the spatial filter. Our experiments show that the computed spatial filters account for most of the residual spatial autocorrelation in the data.spatial filtering, eigenvectors, Germany, unemployment
Persistent Disparities in Regional Unemployment: Application of a Spatial Filtering Approach to Local Labour Markets in Germany
The geographical distribution and persistence of regional/local unemployment rates in heterogeneous economies (such as Germany) have been, in recent years, the subject of various theoretical and empirical studies. Several researchers have shown an interest in analysing the dynamic adjustment processes of unemployment and the average degree of dependence of the current unemployment rates or gross domestic product from the ones observed in the past. In this paper, we present a new econometric approach to the study of regional unemployment persistence, in order to account for spatial heterogeneity and/or spatial autocorrelation in both the levels and the dynamics of unemployment. First, we propose an econometric procedure suggesting the use of spatial filtering techniques as a substitute for fixed effects in a panel estimation framework. The spatial filter computed here is a proxy for spatially distributed region-specific information (e.g., the endowment of natural resources, or the size of the ‘home market’) that is usually incorporated in the fixed effects coefficients. The advantages of our proposed procedure are that the spatial filter, by incorporating region-specific information that generates spatial autocorrelation, frees up degrees of freedom, simultaneously corrects for time-stable spatial autocorrelation in the residuals, and provides insights about the spatial patterns in regional adjustment processes. In the paper we present several experiments in order to investigate the spatial pattern of the heterogeneous autoregressive coefficients estimated for unemployment data for German NUTS-3 regions.unemployment persistence, dynamic panel, hysteresis, spatial filtering, fixed effects
Persistence of regional unemployment : Application of a spatial filtering approach to local labour markets in Germany
"The geographical distribution and persistence of regional/local unemployment rates in heterogeneous economies (such as Germany) have been, in recent years, the subject of various theoretical and empirical studies. Several researchers have shown an interest in analysing the dynamic adjustment processes of unemployment and the average degree of dependence of the current unemployment rates or gross domestic product from the ones observed in the past. In this paper, we present a new econometric approach to the study of regional unemployment persistence, in order to account for spatial heterogeneity and/or spatial autocorrelation in both the levels and the dynamics of unemployment. First, we propose an econometric procedure suggesting the use of spatial filtering techniques as a substitute for fixed effects in a panel estimation framework. The spatial filter computed here is a proxy for spatially distributed region-specific information (e.g., the endowment of natural resources, or the size of the 'home market') that is usually incorporated in the fixed effects parameters. The same argument applies for the spatial filter modelling of the heterogenous dynamics. The advantages of our proposed procedure are that the spatial filter, by incorporating region-specific information that generates spatial autocorrelation, frees up degrees of freedom, simultaneously corrects for time-stable spatial autocorrelation in the residuals, and provides insights about the spatial patterns in regional adjustment processes. We present several experiments in order to investigate the spatial pattern of the heterogeneous autoregressive parameters estimated for unemployment data for German NUTS-3 regions. We find widely heterogeneous but generally high persistence in regional unemployment rates." (Author's abstract, IAB-Doku) ((en))Arbeitslosenquote, Persistenz, Schätzung, regionale Disparität
Persistence of Regional Unemployment: Application of a Spatial Filtering Approach to Local Labour Markets in Germany
The geographical distribution and persistence of regional/local unemployment rates in heterogeneous economies (such as Germany) have been, in recent years, the subject of various theoretical and empirical studies. Several researchers have shown an interest in analysing the dynamic adjustment processes of unemployment and the average degree of dependence of the current unemployment rates or gross domestic product from the ones observed in the past. In this paper, we present a new econometric approach to the study of regional unemployment persistence, in order to account for spatial heterogeneity and/or spatial autocorrelation in both the levels and the dynamics of unemployment. First, we propose an econometric procedure suggesting the use of spatial filtering techniques as a substitute for fixed effects in a panel estimation framework. The spatial filter computed here is a proxy for spatially distributed region-specific information (e.g., the endowment of natural resources, or the size of the ‘home market’) that is usually incorporated in the fixed effects parameters. The advantages of our proposed procedure are that the spatial filter, by incorporating region-specific information that generates spatial autocorrelation, frees up degrees of freedom, simultaneously corrects for time-stable spatial autocorrelation in the residuals, and provides insights about the spatial patterns in regional adjustment processes. We present several experiments in order to investigate the spatial pattern of the heterogeneous autoregressive parameters estimated for unemployment data for German NUTS-3 regions. We find widely heterogeneous but generally high persistence in regional unemployment rates.unemployment persistence, dynamic panel, hysteresis, spatial filtering, fixed effects
Recommendations for modeling upper plenum injection system for a pressurized water reactor
The present work examines the unique heat transfer modeling
problems associated with analysis of performance of an upper plenum
emergency core cooling injection system during a postulated
Loss-of-Coolant Accident (LOCA) in a pressurized water reactor.
The particular system under study consists of four 4-inch pipes
conveying emergency core cooling water from outside the pressure vessel
through four spare control and rod mechanism housings and internal
pipings, discharging the water directly over the top of the reactor
core.
Previously, it has been assumed that the water injected into the
upper plenum passes through the reactor core to the lower plenum
without any heat interaction with the fuel rods during a LOCA. This
simplified model neglects the many beneficial and adverse effects that
accompany the upper plenum injection.
This study is undertaken to examine the following items
· heat transfer to the emergency core coolant before reaching
the core
· flow and heat transfer through the reactor core
· reflood heat transfer.
The phenomena occurring will be delineated and recommendations
made for calculating both conservative and best estimate values. The
method of solving these problems will be illustrated in a series of
examples given in the appendices.Final report for research project sponsored by Northeast Utilities Service Co
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