The Profile of Mexican Elder Migration Flow into the US (2004–2013)

Author(s):  
Silvia Mejía-Arango ◽  
Roberto Ham-Chande ◽  
Marie-Laure Coubes
Keyword(s):  
Author(s):  
T. P. Danko ◽  
A. S. Vyazovikova

The article shows results of marketing diagnosing of the migration flow development in 5 more or less developed countries of the world: Russia, the US, Canada, Mexico and Argentine. The authors studied and demonstrated the dependence of these countries on certain factors, which affect the level of population quality of life. Migration provides junction of mineral resources split by continents, countries and regions within countries and means of production with labour, it promotes meeting of population’s needs in jobs, housing, means of subsistence, social and professional mobility, changing social status and other characteristics of people life. By using statistic and comparative methods of research (correlative analysis, forecast, trend modeling) the authors managed to confirm or refute different hypotheses about labour migration development. They studied world ratings of countries by the level of expected life span, GDP per capita, weakness of states, unemployment, innovation development, competitiveness. By using the Russian Federation as an example the authors showed key challenges and advantages of migration flow. On the basis of the research recommendations dealing with improvement of migration climate in the Russian Federation were designed.  


2019 ◽  
Author(s):  
Mathew Hauer ◽  
James Byars

BACKGROUND: The Internal Revenue Service's (IRS) county-to-county migration data are an incredible resource for understanding migration in the United States. Produced annually since 1990 in conjunction with the US Census Bureau, the IRS migration data represent 95 to 98 percent of the tax-filing universe and their dependents, making the IRS migration data one of the largest sources of migration data. However, any analysis using the IRS migration data must process at least seven legacy formats of these public data across more than 2000 data files -- a serious burden for migration scholars. OBJECTIVE: To produce a single, flat data file containing complete county-to-county IRS migration flow data and to make the computer code to process the migration data freely available. METHODS: This paper uses R to process more than 2,000 IRS migration files into a single, flat data file for use in migration research. CONTRIBUTION: To encourage and facilitate the use of this data, we provide a single, standardized, flat data file containing county-to-county 1-year migration flows for the period 1990-2010 (containing 163,883 dyadic county pairs resulting in 3.2 million county pair-year observations totaling over 343 million migrants) and provide the full R script to download, process, and flatten the IRS migration data.


2021 ◽  
Vol 14 (3) ◽  
pp. 59
Author(s):  
Zhanna Dossan

The US continues to lean toward a traditional, negative approach (Gomez, 2018) and to encourage cultural diversity in Canada. In their initial immigration legislation, the Canada and US shared profound resemblances: both began with Euro- and Christian-centered laws in order to limit the influx of migrants from Southern/Eastern Europe and Asia. The researcher has taken an empirical approach to a comparative methodology, and performed a study of the immigration policies of each country empirically. Both qualitative and also quantitative data analysis approaches were used for the present research. The findings of the research suggest that the two countries share some of the foundational similarities concerning their initial immigration law. For instance, this includes the inception of their policies with the base as Euro and Christian policies, where both attempted to achieve restricted migration flow from the Asia as well as Southern/Eastern Europe. However, with time, the changes in the migration policies have occurred due to the diverging socio-cultural as well as geographical aspects.


2004 ◽  
Vol 32 (1) ◽  
pp. 181-184
Author(s):  
Amy Garrigues

On September 15, 2003, the US. Court of Appeals for the Eleventh Circuit held that agreements between pharmaceutical and generic companies not to compete are not per se unlawful if these agreements do not expand the existing exclusionary right of a patent. The Valley DrugCo.v.Geneva Pharmaceuticals decision emphasizes that the nature of a patent gives the patent holder exclusive rights, and if an agreement merely confirms that exclusivity, then it is not per se unlawful. With this holding, the appeals court reversed the decision of the trial court, which held that agreements under which competitors are paid to stay out of the market are per se violations of the antitrust laws. An examination of the Valley Drugtrial and appeals court decisions sheds light on the two sides of an emerging legal debate concerning the validity of pay-not-to-compete agreements, and more broadly, on the appropriate balance between the seemingly competing interests of patent and antitrust laws.


2018 ◽  
Author(s):  
Carrie N. Baker
Keyword(s):  

Author(s):  
Eric M. Patashnik
Keyword(s):  

2000 ◽  
Vol 16 (2) ◽  
pp. 107-114 ◽  
Author(s):  
Louis M. Hsu ◽  
Judy Hayman ◽  
Judith Koch ◽  
Debbie Mandell

Summary: In the United States' normative population for the WAIS-R, differences (Ds) between persons' verbal and performance IQs (VIQs and PIQs) tend to increase with an increase in full scale IQs (FSIQs). This suggests that norm-referenced interpretations of Ds should take FSIQs into account. Two new graphs are presented to facilitate this type of interpretation. One of these graphs estimates the mean of absolute values of D (called typical D) at each FSIQ level of the US normative population. The other graph estimates the absolute value of D that is exceeded only 5% of the time (called abnormal D) at each FSIQ level of this population. A graph for the identification of conventional “statistically significant Ds” (also called “reliable Ds”) is also presented. A reliable D is defined in the context of classical true score theory as an absolute D that is unlikely (p < .05) to be exceeded by a person whose true VIQ and PIQ are equal. As conventionally defined reliable Ds do not depend on the FSIQ. The graphs of typical and abnormal Ds are based on quadratic models of the relation of sizes of Ds to FSIQs. These models are generalizations of models described in Hsu (1996) . The new graphical method of identifying Abnormal Ds is compared to the conventional Payne-Jones method of identifying these Ds. Implications of the three juxtaposed graphs for the interpretation of VIQ-PIQ differences are discussed.


2020 ◽  
Vol 36 (2) ◽  
pp. 427-431
Author(s):  
Aurelie M. C. Lange ◽  
Marc J. M. H. Delsing ◽  
Ron H. J. Scholte ◽  
Rachel E. A. van der Rijken

Abstract. The Therapist Adherence Measure (TAM-R) is a central assessment within the quality-assurance system of Multisystemic Therapy (MST). Studies into the validity and reliability of the TAM in the US have found varying numbers of latent factors. The current study aimed to reexamine its factor structure using two independent samples of families participating in MST in the Netherlands. The factor structure was explored using an Exploratory Factor Analysis (EFA) in Sample 1 ( N = 580). This resulted in a two-factor solution. The factors were labeled “therapist adherence” and “client–therapist alliance.” Four cross-loading items were dropped. Reliability of the resulting factors was good. This two-factor model showed good model fit in a subsequent Confirmatory Factor Analysis (CFA) in Sample 2 ( N = 723). The current finding of an alliance component corroborates previous studies and fits with the focus of the MST treatment model on creating engagement.


2018 ◽  
Vol 34 (2) ◽  
pp. 87-100 ◽  
Author(s):  
Gino Casale ◽  
Robert J. Volpe ◽  
Brian Daniels ◽  
Thomas Hennemann ◽  
Amy M. Briesch ◽  
...  

Abstract. The current study examines the item and scalar equivalence of an abbreviated school-based universal screener that was cross-culturally translated and adapted from English into German. The instrument was designed to assess student behavior problems that impact classroom learning. Participants were 1,346 K-6 grade students from the US (n = 390, Mage = 9.23, 38.5% female) and Germany (n = 956, Mage = 8.04, 40.1% female). Measurement invariance was tested by multigroup confirmatory factor analysis (CFA) across students from the US and Germany. Results support full scalar invariance between students from the US and Germany (df = 266, χ2 = 790.141, Δχ2 = 6.9, p < .001, CFI = 0.976, ΔCFI = 0.000, RMSEA = 0.052, ΔRMSEA = −0.003) indicating that the factor structure, the factor loadings, and the item thresholds are comparable across samples. This finding implies that a full cross-cultural comparison including latent factor means and structural coefficients between the US and the German version of the abbreviated screener is possible. Therefore, the tool can be used in German schools as well as for cross-cultural research purposes between the US and Germany.


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