Measurements of income inequality: a critique. Inflation and income inequality: a link through the job- search process

In this paper I claim that, in a long-run perspective, measurements of income inequality, under any of the usual inequality measures used in the literature, are upward biased. The reason is that such measurements are cross-sectional by nature and, therefore, do not take into consideration the turnover in the job market which, in the long run, equalizes within-group (e.g., same-education groups) inequalities. Using a job-search model, I show how to derive the within-group invariant-distribution Gini coefficient of income inequality, how to calculate the size of the bias and how to organize the data in arder to solve the problem. Two examples are provided to illustrate the argument.

A modified ant colony optimization algorithm modeled on tabu-search methods

An earlier model underlying the foraging strategy of a pachycodyla apicalis ant is modified. The proposed algorithm incorporates key features of the tabu-search method in the development of a relatively simple but robust global ant colony optimization algorithm. Numerical results are reported to validate and demonstrate the feasibility and effectiveness of the proposed algorithm in solving electromagnetic (EM) design problems.

Training and search methods for speech recognition.

Speech recognition involves three processes: extraction of acoustic indices from the speech signal, estimation of the probability that the observed index string was caused by a hypothesized utterance segment, and determination of the recognized utterance via a search among hypothesized alternatives. This paper is not concerned with the first process. Estimation of the probability of an index string involves a model of index production by any given utterance segment (e.g., a word). Hidden Markov models (HMMs) are used for this purpose [Makhoul, J. & Schwartz, R. (1995) Proc. Natl. Acad. Sci. USA 92, 9956-9963]. Their parameters are state transition probabilities and output probability distributions associated with the transitions. The Baum algorithm that obtains the values of these parameters from speech data via their successive reestimation will be described in this paper. The recognizer wishes to find the most probable utterance that could have caused the observed acoustic index string. That probability is the product of two factors: the probability that the utterance will produce the string and the probability that the speaker will wish to produce the utterance (the language model probability). Even if the vocabulary size is moderate, it is impossible to search for the utterance exhaustively. One practical algorithm is described [Viterbi, A. J. (1967) IEEE Trans. Inf. Theory IT-13, 260-267] that, given the index string, has a high likelihood of finding the most probable utterance.

The ultimate job search.

Mode of access: Internet.

Report on the effectiveness of financing and selected eligibility, job search, and benefit payment operations of the unemployment insurance program : State of Montana, Department of Labor and Industry, Employment Security Division.

Mode of access: Internet.

Job search diary.

"R-07-06"--Colophon.

Spells of job search and layoff-- and their outcomes.

Mode of access: Internet.

Effects of unemployment insurance entitlement on duration and job search outcome /

Cover title.

Analysis of Local Search Methods for 3D Data

In questa tesi sono stati analizzati alcuni metodi di ricerca per dati 3D. Viene illustrata una panoramica generale sul campo della Computer Vision, sullo stato dell’arte dei sensori per l’acquisizione e su alcuni dei formati utilizzati per la descrizione di dati 3D. In seguito è stato fatto un approfondimento sulla 3D Object Recognition dove, oltre ad essere descritto l’intero processo di matching tra Local Features, è stata fatta una focalizzazione sulla fase di detection dei punti salienti. In particolare è stato analizzato un Learned Keypoint detector, basato su tecniche di apprendimento di machine learning. Quest ultimo viene illustrato con l’implementazione di due algoritmi di ricerca di vicini: uno esauriente (K-d tree) e uno approssimato (Radial Search). Sono state riportate infine alcune valutazioni sperimentali in termini di efficienza e velocità del detector implementato con diversi metodi di ricerca, mostrando l’effettivo miglioramento di performance senza una considerabile perdita di accuratezza con la ricerca approssimata.

The role of networking and social media tools during job search: an information behaviour perspective.

The paper presents a critical analysis of the extant literature pertaining to the networking behaviours of young jobseekers in both offline and online environments. A framework derived from information behaviour theory is proposed as a basis for conducting further research in this area. Method. Relevant material for the review was sourced from key research domains such as library and information science, job search research, and organisational research. Analysis. Three key research themes emerged from the analysis of the literature: (1) social networks, and the use of informal channels of information during job search, (2) the role of networking behaviours in job search, and (3) the adoption of social media tools. Tom Wilson’s general model of information behaviour was also identified as a suitable framework to conduct further research. Results. Social networks have a crucial informational utility during the job search process. However, the processes whereby young jobseekers engage in networking behaviours, both offline and online, remain largely unexplored. Conclusion. Identification and analysis of the key research themes reveal opportunities to acquire further knowledge regarding the networking behaviours of young jobseekers. Wilson’s model can be used as a framework to provide a holistic understanding of the networking process, from an information behaviour perspective.

Expérience migratoire antérieure et déqualification : étude de cas portant sur des immigrants russophones à Montréal

Malgré la politique d’ouverture à l’immigration, à la diversité et au multiculturalisme du Québec, les immigrants récents rencontrent de nombreuses barrières sur le marché du travail. Selon la vision néo-classique, le capital humain détermine l’intégration des immigrants et leur degré de déqualification. Bien que l’origine puisse influencer les caractéristiques professionnelles et personnelles des immigrants qualifiés, certains d’entre eux peuvent être de même origine mais avoir des caractéristiques différentes. L’expérience migratoire, définie comme le fait pour un individu d’avoir émigré une 1ère fois de son pays d’origine vers un pays étranger, avant d’émigrer de nouveau de ce pays vers un 3ème, pourrait modifier ces caractéristiques du capital humain et qui influence l’intégration des immigrants ainsi que leur degré de déqualification. Arrivés d’un pays très diversifié, étant instruits, et allophones, les immigrants d’ex-URSS se constituent un groupe représentatif pour cette étude. De surcroît, certains immigrants de ce groupe possèdent une expérience migratoire. Cette recherche a pour but d’examiner le rôle de l’expérience migratoire antérieure dans l’intégration des immigrants russophones sur le marché du travail québécois et de voir son impact sur la présence et le degré de déqualification. L’approche qualitative adoptée pour ce travail permet d’observer pleinement les opinions des immigrants quant à leur intégration professionnelle et d’examiner l’effet de l’expérience migratoire. Nous avons découvert que l’expérience migratoire peut modifier la situation des immigrants sur le marché du travail. D’une part, elle leur permet d’acquérir un diplôme et une expérience de pays économiquement développés, ce qui a plus de valeur au Québec que les diplômes et l’expérience de pays d’ex-URSS. En plus, cette expérience permet aux immigrants d’améliorer leurs compétences linguistiques. D’autre part, l’expérience migratoire peut modifier les caractéristiques comportementales, telles que les méthodes de recherche d’emploi ou l’adoption d’un comportement ouvert et flexible qui peut aider à l’intégration. De surcroît, l’amélioration des caractéristiques professionnelles et personnelles par une expérience migratoire peut avoir un effet de compensation qui diminue l’effet de la stratégie familiale sur la présence et le degré de déqualification. En somme, nous pouvons conclure que l’expérience migratoire antérieure a un effet sur l’intégration des immigrants russophones sur le marché du travail québécois, et particulièrement, sur la présence et le degré de déqualification.