2018
DOI: 10.2139/ssrn.3180586
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An Offer that You Can't Refuse? Agrimafias and Migrant Labor on Vineyards in Southern Italy

Abstract: In the 2011 post-Arab Spring migration wave, over 64,000 migrants landed on the southern Italian coast, with many of them potentially working illegally on farms through caporalato, a widespread system of illegal recruitment of underpaid farm labor run by Italian agrimafias. To test this hypothesis, this paper evaluates the causal effects of the 2011 migration wave on reported labor productivity focusing on vineyards in southern Italy. Based on a dynamic panel data model, labor productivity is estimated to incr… Show more

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Cited by 8 publications
(10 citation statements)
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“…; J þ 1 where 1ðjATT i j � jATT 1 jÞ takes value 1 when jATT i j is equal or larger than jATT 1 j and 0 otherwise. 3 Additionally, we perform in-space placebo tests accounting for the prediction accuracy of the estimated synthetics in the pre-war period (Seifert and Valente 2017). For every country i ¼ 1; .…”
Section: Empirical Strategymentioning
confidence: 99%
“…; J þ 1 where 1ðjATT i j � jATT 1 jÞ takes value 1 when jATT i j is equal or larger than jATT 1 j and 0 otherwise. 3 Additionally, we perform in-space placebo tests accounting for the prediction accuracy of the estimated synthetics in the pre-war period (Seifert and Valente 2017). For every country i ¼ 1; .…”
Section: Empirical Strategymentioning
confidence: 99%
“…A second way to account for pre-treatment goodness of fit is to compare the distribution of the ratio of post-and pre-treatment MSE for treated and placebo units (Abadie et al, 2010). Finally, since the MSE criterion overweights large discrepancies, the ATT of each unit is also plotted, for robustness, against its pretreatment Mean relative Absolute Deviation (MAD), the pre-treatment average percent gap between treated and synthetic outcomes (Seifert and Valente, 2017). Table 4 plots the MSE ratio test and the ATT-MAD test for UW and TW.…”
Section: Resultsmentioning
confidence: 99%
“…As discussed in Ferman and Pinto (2017), previous placebo tests might be subject to size distortions. Therefore, we condition placebo tests on the mean error before the war without squaring its size, as suggested by Seifert and Valente (2017). This plot allows not only to compare the relative size of prediction errors in both pre-and postperiods but also their direction.…”
Section: Resultsmentioning
confidence: 99%
“…In addition to placebo tests, a way to test for significance of our results is to condition on the quality of the average pre-war fit to obtain the likelihood of an abnormal average post-war gap as in Seifert and Valente (2017). Thus, we analyze the average post-war gap,…”
Section: J+1mentioning
confidence: 99%