Growth in a Cross-Section of Cities: Location, Increasing Returns or Random Growth?

This article analyzes empirically the main existing theories on income and population city growth: increasing returns to scale, locational fundamentals and random growth. To do this we implement a threshold nonlinearity test that extends standard linear growth regression models to a dataset on urban, climatological and macroeconomic variables on 1,175 U.S. cities. Our analysis reveals the existence of increasing returns when per-capita income levels are beyond $19; 264. Despite this, income growth is mostly explained by social and locational fundamentals. Population growth also exhibits two distinct equilibria determined by a threshold value of 116,300 inhabitants beyond which city population grows at a higher rate. Income and population growth do not go hand in hand, implying an optimal level of population beyond which income growth stagnates or deteriorates

IPH response to the Joint Committee on Health and Children and members of the Northern Ireland Assembly on “Cross-border cooperation on healthcare”

The Institute of Public Health in Ireland were asked to submit a paper on 'Cross-border cooperation on healthcare' for a joint meeting between the Oireachtas Joint Committee on Health and Children and the Northern Ireland Assembly Health Committee which took place in Leinster House on 1 March 2012. Key points from the submission included: o    The Institute of Public Health in Ireland (IPH) is an all-island organisation which promotes cooperation between the Republic of Ireland and Northern Ireland with the aim of improving population health on the island and tackling health inequalities. IPH work is focused on addressing the causes of ill health rather than the design and delivery of treatment services. o    North/South cooperation on health was mandated under the Belfast Agreement in 1998 in five domains, including health promotion. IPH has supported the North South Ministerial Council (NSMC) in respect of the health promotion strand since inception. o    The Department of Health and Department of Health, Social Services and Public Safety North-South Feasibility Study (December 2011) states that mutual benefits are most evident from cooperation in the areas of (i) anticipating trends and illnesses in a collective manner (ii) public health issues (iii) specialised services where the population or activity required to sustain the service cannot be met by either jurisdiction alone and (iv) in relation to those areas adjacent to the border. o    The European Directive on Cross-Border Healthcare will be implemented in the next few years which will have implications in relation to patients travelling for healthcare across the Republic of Ireland/Northern Ireland border. o    IPH is supporting the development of new public health strategies in the Republic of Ireland and Northern Ireland which are both due for publication this year. o    There are tangible benefits from cross-border cooperation in the health sector, both in public health and in health service planning and delivery and there are many examples of successful initiatives. However, developments are not occurring in the context of an agreed plan or overall strategic context and tend to be project-based and concentrated in border counties. o    Successful cross-border cooperation requires high level support and integration into departmental policy cycles. The provision of data on an all-island basis supports cross-border cooperation as does the operation of sustainable all-island organisations which can support research, evaluations and programmes. o    In the future, cross-border cooperation in health will be more effective if developed with a strategic planning process intrinsically linked to Departmental priorities. o    North-South cooperation in the areas of alcohol, obesity, tobacco health surveys and rare diseases will be particularly beneficial.

A cross-cultural study of the higher-order structures underlying personality disorders in French-speaking Africa and Switzerland

Most studies about the higher-order dimensions to be considered in order to parsimoniously describe Personality Disorders (PDs) have identified between two and four factors but there is still no consensus about their exact number. In this context, the cultural stability of these structures might be a criterion to be considered. The aim of this study was to identify stable higher-order structures of PD traits in a French-speaking African and Swiss sample (N = 2,711). All subject completed the IPDE screening questionnaire. Using Everett's criterion and conducting a series of principal component analyses, a cross-culturally stable two- and four-factor structure were identified, associated with a total congruence coefficient of respectively .98 and .94 after Procrustes rotation. Moreover, these two structures were also highly replicable across the four African regions considered, North Africa, West Africa, Central Africa, and Mauritius, with a mean total congruence coefficient of respectively .97 and .87. The four-factor structure presented the advantage of being similar to Livesely's four components and of describing the ten PDs more accurately.

Mexican Trypanosoma cruzi stocks: analysis of minicircle kDNA homologies by cross-hybridization

Homologies of minicircle kDNA of 27 Mexican stocks were studied by cross-hybridization with four kDNA probes derived from three reference stocks belonging to groups Trypanosoma cruzi I (SO34 cl4 and Silvio) and T. cruzi II (MN) and one Mexican stock. High homologies were only observed with Silvio (six stocks) and Mexican probes (11 stocks). After 30 min exposure (low homology) additional stocks were recognized with SO34 cl4 (three stocks) and Silvio (six stocks) probes; with the Mexican probe only five stocks remained non-reactive. All the stocks were typed by isoenzyme (16 loci) and Mexican stocks belonged to T. cruzi I. Hybridization patterns were not strictly correlated with the observed clustering and cross-hybridization of kDNA minicircles is not available to distinct Mexican stocks.

Bosnia and Herzegovina’s cross border cooperation: applying typologies and revising histories

Aquest document amplia el treball realitzat per Oliveras, durada i Perkmann en l'estudi de la cooperació transfronterera (CBC) a Europa. S'argumenta que el catàleg de les transferències regions (CBR), desenvolupat per Oliveras, durada i Perkmann el 2010, ha d'incloure la CBR que han sorgit com a resultat de l'ampliació actual de la UE en l'Oest Balcans. També serveix per donar suport a la opinió que una quarta etapa en la història desenvolupament de CBC a Europa encara no ha començat. El document porta el CBC de Bòsnia i Hercegovina en el marc de l'Instrument d'Ajuda Preadhesió (component II) com un estudi de casos i classifica cada CBC d'acord amb la tipologia que estableix Oliveras, durada i Perkmann. L'anàlisi revela que una forma de multi-nivell govern (MLG) també està sorgint en aquestes noves CBR. El tipus de MLG és també classificats. La conclusió de l'article és que el procés actual de la UE l'ampliació ha creat dos CBR i MLG promogut en els Balcans Occidentals

Flexible employment and cross- regional adjustment

Employment flexibility is commonly associated to greater labour mobility and thus faster cross-regional adjustments. The literature however offers very little hard evidence on this and quite limited theoretical guidance. This paper examines empirically the relationship between employment flexibility and cross-regional adjustment (migration) at the regional and local levels in the UK. Employment flexibility is associated to higher labour mobility (but only at a rather localised scale) and at the same time seems to reduce the responsiveness of migration to unemployment. This suggest that rising flexibility may be linked to higher persistence in spatial disparities, as intra-regional adjustments are strengthened while extraregional adjustments weakened. Keywords: Employment flexibility, regional migration, labour market adjustment JEL Codes: R11, R23, J08, J61

Is real GDP stationary? Evidence from a panel unit root test with cross-sectional dependence and historical data

We use historical data that cover more than one century on real GDP for industrial countries and employ the Pesaran panel unit root test that allows for cross-sectional dependence to test for a unit root on real GDP. We find strong evidence against the unit root null. Our results are robust to the chosen group of countries and the sample period. Key words: real GDP stationarity, cross-sectional dependence, CIPS test. JEL Classification: C23, E32

Adaptive filtering methods for identifying cross-frequency couplings in human EEG.

Oscillations have been increasingly recognized as a core property of neural responses that contribute to spontaneous, induced, and evoked activities within and between individual neurons and neural ensembles. They are considered as a prominent mechanism for information processing within and communication between brain areas. More recently, it has been proposed that interactions between periodic components at different frequencies, known as cross-frequency couplings, may support the integration of neuronal oscillations at different temporal and spatial scales. The present study details methods based on an adaptive frequency tracking approach that improve the quantification and statistical analysis of oscillatory components and cross-frequency couplings. This approach allows for time-varying instantaneous frequency, which is particularly important when measuring phase interactions between components. We compared this adaptive approach to traditional band-pass filters in their measurement of phase-amplitude and phase-phase cross-frequency couplings. Evaluations were performed with synthetic signals and EEG data recorded from healthy humans performing an illusory contour discrimination task. First, the synthetic signals in conjunction with Monte Carlo simulations highlighted two desirable features of the proposed algorithm vs. classical filter-bank approaches: resilience to broad-band noise and oscillatory interference. Second, the analyses with real EEG signals revealed statistically more robust effects (i.e. improved sensitivity) when using an adaptive frequency tracking framework, particularly when identifying phase-amplitude couplings. This was further confirmed after generating surrogate signals from the real EEG data. Adaptive frequency tracking appears to improve the measurements of cross-frequency couplings through precise extraction of neuronal oscillations.