Author : Moustapha ALADJI PhD student in economics-University of Guyana Co-author : Paul ROSELE Chim HDR Paris 1-Pantheon Sorbonne Economics / Management Science Co-author : MAMADOU DIOP : Doctor in Economics-University of Renne 1

Background of the subject Problematic Economic Review on Immigration Diagnostic of immigration in French Guiana Goals Empirical methodology and estimation

Immigration Guyana land of welcome for migrants Cultural diversity early 60s 1st wave of successive arrivals of migrants In the 80s the big waves of immigration in French Guiana Integration

 In what way the inefficiency of reception and support systems to the integration of immigrants can favor their precariousness?

1. The first approach explaining the integration of immigrants into the labor market is that of the economist Chiswick who, in his study, uses as a databank the 1970 US Census of Population. 2. Green and Green (1995) analyze and test the effectiveness of the three immigration control tools then available to the government. 3. The third approach is that developed by researchers such as Baker and Benjamin (1994) who measure the integration of immigrants into Canada using highly rigorous econometric techniques, based on fixed effects models, according to their method.

Source : Insee, RP

Source : Insee, RP 2017 Surinamais 31% Haïtienne 24 % Brésilienne 30 % Source : Insee, RP 2017 DISTRIBUTION OF COMMUNITY IMMIGRANT POPULATION

Intégration Examiner si les mesures en matière d’accompagnement à l’intégration et à l’insertion de la population immigrée permettent d’atteindre les objectifs publics. Evaluer si les mesures politiques en matière d’immigration sont efficaces en Guyane

Source : Insee, RP 2017

Source : Insee, EDL

In this survey, the size of our sample n depends on the confidence level of the study and the sampling rate p; With P = n / N. Risk threshold or (the margin of error) is 5% Confidence level 1-α = 95% of the confidence level. The accuracy of the survey is noted 4%. Immigrant population: over 71,000 representing the N The sample size n is 200, with survey accuracy of 4% and a 95% confidence level and 5% confidence level. according to the decision analysis of the observed variables and Chi-square test and the test modality. If the two variables are really independent, this expression follows a Chi-square distribution with a number of degrees of freedom equal to: (p - 1) (q - 1). In a table, we read χ2 value having a probability α of being exceeded α, k for a distribution of χ2 with k = (p - 1) (q - 1) degrees of freedom. The margin of error of our sample is 5%.

Hypothesis : H0: χ2 = 0 There is Independence, then reject hypothesis H1. H1: χ2 ≠ 0 there is dépendance, so we reject the hypothesis H0. Test result : Variable : expenditure -duration χ2 = 23.35> ' ℎℎℎℎ 1 at 95% Variable : expenditure –salaire χ2 = 56> at 95% Variable : Accommodation – duration χ2 = 42.2> at 95%

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