Michael Packard
Georgetown University
Internet privacyImmigration policyMarket dataTotal factor productivityPer capitaBusinessMedia eventLabour economicsRegional scienceEconometricsEconomicsRefugeePolitical scienceImmigration and crimePovertyGeographyMiamiMariel boatliftProsperityWageMobile phoneInternal migrationRefugee crisisCircular migrationProperty crimePopulationDifferential selectionFull matrixPhone callControl methodsSyrian refugeesForeign direct investmentDemographic economicsContiguityImmigrationSelection (genetic algorithm)Estimation
8Publications
2H-index
15Citations
Publications 6
Newest
#1Simone BertoliH-Index: 15
#2Caglar Ozden (World Bank)H-Index: 29
Last. Michael Packard (Georgetown University)H-Index: 2
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Abstract null null We use mobile phone usage data to measure the extent of segregation of Syrian refugees in Turkey, and analyze its role in their internal mobility patterns. We construct a range of dissimilarity and normalized isolation indices using the hourly phone call volume of refugees and natives. The richness of the data allows us to compute the indices across different provinces and over time. Segregation levels show high variation across the country, with significantly lower levels of ...
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#1Alexander Billy (Georgetown University)
#2Michael Packard (Georgetown University)H-Index: 2
Our paper describes crime effects attributable to the Mariel Boatlift, the 1980 Cuban refugee crisis that increased Miami’s population by nearly 10%. Using synthetic control methods to match Miami with cities that exhibit similar pre-intervention crime patterns, we find strong evidence the phenomenon comparatively increased property crime and murder rates; we also document weaker but suggestive relative growth in per capita violent crime linked with the influx of Cubans. Compositional features o...
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#1Simone BertoliH-Index: 6
#1Simone BertoliH-Index: 15
Last. Michael PackardH-Index: 2
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#1Simone BertoliH-Index: 6
#1Simone BertoliH-Index: 15
Last. Biagio SpecialeH-Index: 6
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We explore various means of quantifying integration using two of the D4R Challenge datasets. We propose various integration indices and discuss their output. We combine the data from the D4R Challenge with data from the GDELT Project and with data on transactions on the housing market in Turkey. We also describe research directions to be undertaken in the future using the D4R data.
3 Citations
#1Caglar OzdenH-Index: 3
#1Caglar OzdenH-Index: 1
Last. Michael PackardH-Index: 2
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This Policy Research Report (PRR), Moving for Prosperity: Global Migration and Labor Markets, is an attempt to address this tension between the academic research and the public discourse by focusing on the economic evidence. The authors suggested a labor market–oriented, economically motivated rationale to the political opposition to migration. Global migration patterns lead to high concentrations of immigrants in certain places, industries, and occupations. For example, the top 10 destination c...
7 Citations
#1Caglar OzdenH-Index: 3
#1Caglar OzdenH-Index: 1
Last. Mathis WagnerH-Index: 7
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Understanding the determinants of migration patterns and the selection of migrants is of paramount importance in a world in which over 240 million people have migrated and many more are considering doing so. This paper adds to the literature on this topic by (i) using micro-level wage data for a large number of source and destination countries, and (ii) identifying the impact of bilateral variables, e.g. distance, and source and destination country characteristics using a two-step estimation str...
2 CitationsSource