Immigration and productivity: a Spanish tale

Gómez–Tello, Alicia; Nicolini, Rosella

doi:10.1007/s11123-017-0499-1

Cited by 4 publications

(2 citation statements)

References 34 publications

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“…Data gathered from the CSWL have been widely used by academics to investigate a number of issues connected with the Spanish economy and relevant socioeconomic conditions. These include immigrants and immigration policy (see [32][33][34][35][36][37][38]), the Labor market (see [39][40][41][42][43][44][45][46][47][48][49][50][51]), the equity, sustainability, transparency and other aspects of the Public Pension System (see [52][53][54][55][56][57][58][59][60][61][62][63][64][65][66]), the impact of the economic crisis (see [67][68][69][70]), the usefulness of the MCVL (see [71][72][73][74][75]), the unemployment ( [76][77][78]…”

Section: Applying the Model To The Continuous Sample Of Working Livesmentioning

confidence: 99%

Improving the Representativeness of a Simple Random Sample: An Optimization Model and Its Application to the Continuous Sample of Working Lives

et al. 2020

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This paper proposes an optimization model for selecting a larger subsample that improves the representativeness of a simple random sample previously obtained from a population larger than the population of interest. The problem formulation involves convex mixed-integer nonlinear programming (convex MINLP) and is, therefore, NP-hard. However, the solution is found by maximizing the size of the subsample taken from a stratified random sample with proportional allocation and restricting it to a p-value large enough to achieve a good fit to the population of interest using Pearson’s chi-square goodness-of-fit test. The paper also applies the model to the Continuous Sample of Working Lives (CSWL), which is a set of anonymized microdata containing information on individuals from Spanish Social Security records and the results prove that it is possible to obtain a larger subsample from the CSWL that (far) better represents the pensioner population for each of the waves analyzed.

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Section: Applying the Model To The Continuous Sample Of Working Livesmentioning

confidence: 99%

Improving the Representativeness of a Simple Random Sample: An Optimization Model and Its Application to the Continuous Sample of Working Lives

et al. 2020

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“…Šiame tyrime skirtingos kvalifikacijos imigrantai apibrėžiami pagal jų turimą kvalifikaciją: aukštos, vidutinės ir žemos kvalifikacijos imigrantai. Aukštos kvalifikacijos imigrantams priskiriami imigrantai, kurie yra įgiję aukštąjį arba aukštesnįjį išsilavinimą; vidutinės kvalifikacijos imigrantams priskiriami imigravę gyventojai įgiję aukštesnįjį vidurinį ir aukštesnįjį išsilavinimą; žemos kvalifikacijos imigrantams priskiriami tie imigrantai, kurie įgiję vidurinį ir pradinį išsilavinimą (Docquier, 2009b;Lietuvos…, 2012). Tokį apibrėžimą savo tyrimuose naudoja E. Boubtane (2016), B. Cortés (2015) ir kt.…”

Section: Teorinis Pagrindimasunclassified

The impact of immigrants' educational attainment on employment in agricultural, industrial, and services sectors in oecd

Didžgalvytė¹,

Pukelienė²,

Speer³

2018

Management Theory and Studies for Rural Business and Infrastructure Development

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This article analyzes the impact of immigrants' educational attainment on employment in agricultural, industrial, and services sectors. The research compares data of OECD-20 countries in the period of 1980–2010. The goal of the paper is to analyze the theoretical interpretations of immigration and employment; to measure the impact of immigrants' educational attainment on employment by carrying out an empirical research in selected countries. Empirical analysis has been performed using the methods of descriptive statistics, correlation, regression analysis and System Generalized Method of Moments (GMMs). The results of the empirical research regarding the impact showed that high-skilled immigration has a positive and statistically significant impact on employment in industrial and services sectors, but the impact on employment in the agricultural sector is statistically insignificant. Medium-skilled immigration has a positive and statistically significant effect on employment in all three sectors. However, low-skilled immigration has no effect on employment in either agricultural, industrial or services sectors.

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Assessing the Spanish immigration policy with frequency-wise causality in Hosoya’s sense

Espinosa

Díaz-Emparanza

2022

Empir Econ

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Immigration and productivity: a Spanish tale

Cited by 4 publications

References 34 publications

Improving the Representativeness of a Simple Random Sample: An Optimization Model and Its Application to the Continuous Sample of Working Lives

Improving the Representativeness of a Simple Random Sample: An Optimization Model and Its Application to the Continuous Sample of Working Lives

The impact of immigrants' educational attainment on employment in agricultural, industrial, and services sectors in oecd

Assessing the Spanish immigration policy with frequency-wise causality in Hosoya’s sense

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