Generalised estimates of diffusion rates for the oxygen blown steel process: An international comparison

The purpose of this study is to build on the results recently obtained by Poznanski (1990). First, the estimation technique is generalised by removing both the symmetric restrictions and the effects of autocorrelated errors that are present in simple logistic functions. Secondly, attention is drawn to the existence and consequences of multicollinearity when non linear techniques are applied to a general exponential. Thirdly, an attempt is made to quantify the importance of market structure and time lags in adoption as determinants of diffusion speed. Finally, a comparison between these generalised results and Poznanski's is made. The study concludes that, by generalising the estimation technique, some significant changes take place. Changes occur in the ordering and magnitude of diffusion speeds, especially amongst the developing and centrally planned economies. Changes also occur in the nature of the diffusion process, and in the importance attributed to market structure and diffusion lags in determining the rate of diffusion. It is also shown that, for some countries, multicollinearity imposes constraints on the type of generality that can be obtained.     

Behind the GDP: some remarks on the shadow economy in Mediterranean countries

It is common knowledge that in the past decades the focus on the shadow economy (SE) has increased and the range in the estimated size of this phenomenon is very divergent. The comprehensive coverage of economic production is important in order to ensure good quality of national accounts and exhaustive estimates of the gross domestic product. The purpose of this paper is to approach the SE by means of the latent variable method and the structural equation model–partial least squares and to explore similar behaviors in terms of the obtained results, by analyzing the subsamples of the countries under observation. Political measures need to be implemented carefully to counter the effects of the SE and policy-makers should have to adopt economic policy practices to drive the SE into the formal economy, particularly in less-developed countries.     

Armed Americans: The impact of firearm availability on national homicide rates

This study examines the relationship between firearm availability and national homicide rates. The theoretical and empirical literatures are reviewed, and a cross-national two-stage least squares regression analysis is described. The relationship between a circa 1990 measure of firearm availability and the average 1990–1994 homicide rate is examined across 36 countries. Two-stage least squares regression, which controls for homicide's effect on firearm availability in addition to a number of other confounding factors, reveals a statistically significant positive effect of firearm availability on national homicide rates. The magnitude of the association is considerable. The observed relationship is found to be insensitive to sample composition. Results also indicate that homicide rates do not influence levels of firearm availability. The limitations of the study and avenues for future research are discussed.     

Bloodstain age estimation through infrared spectroscopy and Chemometric models

The chemical profiling of bloodstains is essential to link the suspect with the crime. The current study proposed a proof-of-concept methodology for the investigation of bloodstains by utilizing advanced ATR-FTIR spectroscopy coupled with new generation chemometric methods. Current study provides encouraging data to allow discrimination between human and animal blood though with small sample size. In this study, different models for the age estimation of human bloodstains are developed from the trained data sets of 1–175 days old bloodstains. The models such as curve estimation (CE), multiple linear regression (MLR), and partial least squares regressions (PLSR) are developed to determine the best prediction model for aged human bloodstains. The obtained results on the dating of bloodstains are very encouraging and also tested for unknown samples. The maximum dating errors are observed in the curve estimation models whereas, the other models MLR, PLSR show excellent age estimation of unknown bloodstains. These models represent an error of ~3 ± 1 days and ~4 ± 1 days in actual and estimated date, respectively, which is lowest ever reported so far. The present methodology is expected to provide a valuable insight into forensic society and hence, to the law enforcement community. The present methodology can further be explored for an ideal model by including all other external variables/factors and for more longer aging time.     

The Economic Convergence Performance of Central and Eastern European Countries

A critical discussion of a comparative growth analysis about Central and Eastern European (CEE) countries is performed. The main conclusion is that there was economic convergence for most CEE accession candidates, but not between them and Western Europe. Results do justify a separation into first and second-wave accession countries, but also undermine differences in Central and Eastern Europe between accession and non-accession countries. This paper critically examines theories and empirical studies for three types of convergence, namely β,σ and club convergence. Each can be in absolute terms or conditional to the long-term equilibrium (steady state) for each country. Empirical results are provided for all types of convergence from 1996 to 2000, both with population-weighted and non-weighted data. The analysis is performed for differently framed country subgroups considering even Western Europe for better comparability. Once absolute convergence is found through a unit root test about a standard deviation time series of cross-sectional income per capita, the regression coefficient for initial income per capita with the average growth over the sample period as dependent variable (β convergence) establishes the speed of this process. The same method applies to the conditional version by using the distance of the income from the corresponding steady state instead of the level of GDP. Then Markov chain probability matrixes (club convergence) provide information about the past behaviour of the whole cross-sectional income distribution over time, but also about intra-mobility of single countries.     

Fourier transform infrared reflectance spectra of latent fingerprints: a biometric gauge for the age of an individual

To determine if changes in fingerprint infrared spectra linear with age can be found, partial least squares (PLS1) regression of 155 fingerprint infrared spectra against the person's age was constructed. The regression produced a linear model of age as a function of spectrum with a root mean square error of calibration of less than 4 years, showing an inflection at about 25 years of age. The spectral ranges emphasized by the regression do not correspond to the highest concentration constituents of the fingerprints. Separate linear regression models for old and young people can be constructed with even more statistical rigor. The success of the regression demonstrates that a combination of constituents can be found that changes linearly with age, with a significant shift around puberty.     

Should the Central and Eastern European Accession Countries Adopt the EURO Before or After Accession?

I analyse the option of unilateral euroisation for Central and Eastern Europe. The thorny questions of losing seigniorage and losing the lender of last resort are explicitly addressed. It is found that the option of unilateral euroisation might be quite inviting for some countries. This is certainly the case if one takes into account the difficulties thrown up by the Maastricht–criteria. It is argued that unilateral euroisation provides an elegant way out of the catch of the official EMU-accession path. The EU has, however, expressed explicitly its enmity against euroisation. I think this is a policy error. It should be at least a genuine policy option for all countries concerned. At best the EU should stimulate euroisation by embedding it in a broader and more embracing framework that would support integration and ultimately accession to the EU of the whole of Central and Eastern Europe.     

Does context matter in academic entrepreneurship? The role of barriers and drivers in the regional and national context

With pressure on universities to better contribute to society, academic entrepreneurship is an increasingly recognised source of new knowledge and technologies as well as being a driver of the movement to a knowledge society. However, whilst growing, the level of academic entrepreneurship in Europe is still relatively low. Two reasons that are factors influencing this are inhibitors (barriers) and facilitators (drivers), however the understanding of how their interplay influences academic entrepreneurship, particularly across different context is lacking. For this reason, this study focussed on two environmental settings, European regions and countries, seeking to understand if it is the hurdle (barrier) or (and/or) tail-wind (drivers) that most impacts academic entrepreneurship and how does the regional or national context influence this. An online survey was translated into 22 languages and undertaken in 33 countries in Europe and the European Economic Area. From the original data set, 12 countries in four European regions provided a sample of 2925 responses, with a second step to focus on four ‘lead’ countries within those regions. The results show that there is a significant difference in the university-business cooperation barriers and drivers that effect academic entrepreneurship in the European regions. Furthermore, different barriers and drivers were found to significantly affect the four lead countries with barriers and drivers being able to provide a good explanation of the extent of academic entrepreneurship in the UK and Germany, and a limited explanation of entrepreneurial activity by Spanish and Polish academics. Overall the article contributes to the literature of resource-based theory and also the understanding of factors influencing European academic entrepreneurship.     

Trends in the Reaction on Crime in Criminal Justice Systems in Europe in 1990–2007: A Comparison of Four European Regions

Recorded crime and prison populations seem to be increasing in Europe. Some explanations for this situation can be related to changes in the reaction on crime by the Criminal Justice Systems. The information collected in the European Sourcebook of Crime and Criminal Justice Statistics (ESB) provides a good opportunity to look in more detail at the changes in the various stages of the Criminal Justice Systems in more than 40 European countries over the period 1990 to 2007. In this study we look mainly at the changes over time of recorded crimes, the offender ratio, the conviction ratio and punitivity in Europe where the countries are clustered into four regions: North/West, South, Central and East Europe. It was found that the increase in the number of recorded drug crimes and a possible higher priority for violent crimes could help explain the increase in recorded crimes during the last two decades. The Criminal Justice Systems in Europe, with some differences between regions within Europe and despite not having more police resources, succeed in finding more offenders. The conviction ratio appeared to be increasing as well, mainly in Central Europe. While punitivity for Europe as a whole is stable, there are vast differences in the levels and trends between the regions.     

Age estimation of Korean children based on dental maturity

The aim of this study was to evaluate the relationship between age and dental maturity and to establish the standard database of dental maturity based on the Demirjian's stages, which can be used for the age estimation of Korean children. For this purpose, dental maturity was measured by the Demirjian's stages on a randomly selected sample of panoramic radiographs taken from 2706 patients between 1 and 20 years of age and analyzed by multiple linear regression analysis based on the method of least squares. The results showed that, except for the third molars, the development of permanent teeth in Korean children was more advanced in females. The Demirjian's stage G of the second molar appeared last in both male and female subjects by age 18, showing 95th percentile at age in the male and female subjects between 16.7-17.4 years and 17.1-17.3 years, respectively. Coefficients of determination (r(2)) of the Demirjian's stages relative to age in regression analysis were 0.9721 in male and 0.9740 in female subjects. The standard error was 0.63 years in male and 0.62 years in female subjects. The estimated age according to regression analysis was within +/-1.0 year of the actual age in 92.0% of male and 92.5% of female subjects. Collectively, the data of the present study can be used as a reference for dental maturity and a standard for age estimation of Korean children.     

A Reappraisal of Developing Deciduous Tooth Length as an Estimate of Age in Human Immature Skeletal Remains

This study provides an update on a quantitative method for immature age estimation based on postnatal deciduous mandibular tooth length. Two known sex and age skeletal collections from Western Europe were sampled (n = 97). Linear regression models for age estimated were calculated for each individual tooth, each sex, and sex combined sample using classical calibration. Prediction errors, residuals, and percentage of individuals whose real age fell within the 95% prediction interval were calculated. The teeth which develop earlier in life, the incisors and the first molar, showed the greatest precision, while the canine showed the least. This method has greater applicability to archeological skeletons or to children in developing countries than for use in North American or European forensic contexts. The method can be applied to incomplete or poorly preserved remains of unknown sex, particularly when dental radiographs are not an option or when teeth have been removed from the alveolus or crypt.     

Sentencing Recommendations by Probation Officers and Judges: An Examination of Adult Offenders Across Gender

Connecting the courtroom workgroup model with attributions and stereotyping based on the focal concerns perspective and gender sentencing literature, the present study investigates the extent to which probation officer recommendations influence judicial sentencing, and whether the gender of the offender further conditions this relationship. Results from logistic and ordinary least squares regression indicate that there is concordance between probation officer recommendations and sentencing by judges. Offender gender has both direct and indirect effects on judicial sentencing through its relationship with probation officer recommendations, and Black males tend to receive lengthier sentences than other race/gender counterparts. These findings provide evidence that probation officer recommendations are an important part of the sentencing process and offer additional insight on how extralegal factors such as gender and race impact criminal justice decision making.     

Inside the prison black box: toward a life course importation model of inmate behavior

The importation model is a venerable theoretical explanation for inmate misconduct but it has not been extended in nearly 50 years. The current study advances a life course importation model of inmate behavior where life events in childhood cascade to predict antisocial behavior during adolescence and misconduct occurring during periods of confinement. Based on data from 2,520 institutionalized male delinquents, ordinary least squares, logistic, and negative binomial regression models indicated that family background variables were largely predictive of multiple facets of delinquent careers. Negative binomial regression models of institutional misconduct indicated that proximal delinquent career variables were more consistently associated with misconduct than distal family background factors. Because institutional behavior can be understood as the importing of family deprivation experiences and chronic delinquency, the life course importation model is a useful conceptual framework to study crime over the life course, even including periods of confinement.     

e-Justice: A Comparative Study of Computerization and Procedural Justice in Social Security

Procedural justice, which refers to the fairness of the process of decision making, is contrasted with substantive justice, which refers to the fairness of the outcomes. Extending the work of Mashaw, it is argued that there are six normative models of procedural justice: bureaucracy, professionalism, legality, managerialism, consumerism and markets. Using data from a comparative study of computerization in the social security systems of 10 countries in Europe, North America and Australasia, bureaucracy emerges as the dominant model, followed either by managerialism or by legality. Professionalism and the market are the least important models. The effect of computerization has been to intensify and entrench the bureaucratic and managerial models and undermine the professional model. In addition to presenting general trends, the paper also presents and attempts to account for differences between the 10 countries in the study.     

The relationship between urbanisation and cross-national homicide rates: robustness across multiple estimation methods

Urbanisation has generally been found to be a non-significant predictor of homicide rates in cross-national studies. Despite this, there is strong theoretical support for the presence of a positive association between the two. The present study analyses data for up to 57 nations for the period 1993–2005 and examines the relationship between urbanisation and homicide using pooled ordinary least squares, feasible generalised least squares, panel-corrected standard errors, fixed-effects, and random-effects estimation. The results show that urbanisation is one of the strongest predictors of homicide in the cross-national context. This is consistent with the expected relationship according to modernisation theory and suggests that rapidly urbanising nations should be concerned with the unintended consequences of urbanisation.     

Facial Age Synthesis Using Sparse Partial Least Squares (The Case of Ben Needham)

Automatic facial age progression (AFAP) has been an active area of research in recent years. This is due to its numerous applications which include searching for missing. This study presents a new method of AFAP. Here, we use an active appearance model (AAM) to extract facial features from available images. An aging function is then modelled using sparse partial least squares regression (sPLS). Thereafter, the aging function is used to render new faces at different ages. To test the accuracy of our algorithm, extensive evaluation is conducted using a database of 500 face images with known ages. Furthermore, the algorithm is used to progress Ben Needham's facial image that was taken when he was 21 months old to the ages of 6, 14, and 22 years. The algorithm presented in this study could potentially be used to enhance the search for missing people worldwide.     

Explaining Women's Legislative Representation in Sub‐Saharan Africa

This study examines the relative impacts of social, economic, cultural, and political determinants on women's legislative representation in sub‐Saharan Africa by using an ordinary least squares multiple regression model. Under study are sub‐Saharan African countries that held democratic legislative elections between January 1990 and June 30, 2001. Only the latest election in each country is included for analysis. My study finds that patriarchal culture, proportional representation systems, and gender quotas are statistically significant. This study, by focusing on sub‐Saharan Africa, fills a gap in the extant literature, which has focused on women's legislative representation in advanced industrialized democracies.     

Racial and Ethnic Heterogeneity,Economic Disadvantage,and Gangs: A Macro‐Level Study of Gang Membership in Urban America

There is a lack of macro‐level gang research. The present study addresses this shortcoming by providing a theoretically informed analysis of gang membership in large US cities. More specifically, our goal is to determine whether racial and ethnic heterogeneity conditions the relationship between economic disadvantage and gang membership. Three separate sources of data are used in this study: U.S. Census 2000, Law Enforcement Management and Administrative Services 2000, and National Youth Gang Survey 2002–2006. A series of weighted least‐squares regression models are estimated, finding that both economic disadvantage and racial and ethnic heterogeneity exhibit independent and additive effects on gang membership. In addition, the results show that racial and ethnic heterogeneity has a conditioning relationship with economic disadvantage. Furthermore, our expanded operationalization of the Blau heterogeneity measure indicates that prior research may have underestimated the effects of heterogeneity. The authors discuss these findings in the context of existing gang research and offer directions for future research.     

Co-evolution of politics and corporate governance

In the OECD countries, there exists a negative cross-country correlation between an economy's degree of employment protection and its degree of corporate ownership dispersion. One explanation is that employees’ political rights influence corporate governance: systems characterized by strong employees’ rights tend to be balanced by strong and concentrated owners. In this approach, the separation between ownership and control is only possible when unions and social democratic parties are sufficiently weak. In this paper we argue that causation runs also in the opposite direction (from strong concentrated ownership to strong employees’ protection) and leads to multiple equilibria characterized by alternative co-evolution paths of politics and corporate governance. To empirically assess our theoretical arguments we estimate a simultaneous equation model for workers rights’ protection and corporate ownership structure determination by three-stage least squares in a sample of 21 OECD countries. We conclude by arguing that the relative relevance of each flow of causation has important economic policy implications.