| Title |
Measuring Geographic Migration Patterns Using Matrículas Consulares
|
|---|---|
| Published in |
Demography, May 2018
|
| DOI | 10.1007/s13524-018-0675-6 |
| Pubmed ID | |
| Authors |
Maria Esther Caballero, Brian C. Cadena, Brian K. Kovak |
| Abstract |
In this article, we show how to use administrative data from the Matrícula Consular de Alta Seguridad (MCAS) identification card program to measure the joint distribution of sending and receiving locations for migrants from Mexico to the United States. Whereas other data sources cover only a small fraction of source or destination locations or include only very coarse geographic information, the MCAS data provide complete geographic coverage of both countries, detailed information on migrants' sources and destinations, and a very large sample size. We first confirm the quality and representativeness of the MCAS data by comparing them with well-known household surveys in Mexico and the United States, finding strong agreement on the migrant location distributions available across data sets. We then document substantial differences in the mix of destinations for migrants from different places within the same source state, demonstrating the importance of detailed substate geographical information. We conclude with an example of how these detailed data can be used to study the effects of destination-specific conditions on migration patterns. We find that an Arizona law reducing employment opportunities for unauthorized migrants decreased emigration from and increased return migration to Mexican source regions with strong initial ties to Arizona. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 20% |
| Researcher | 4 | 9% |
| Student > Bachelor | 4 | 9% |
| Student > Doctoral Student | 3 | 7% |
| Professor | 3 | 7% |
| Other | 9 | 20% |
| Unknown | 12 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 15 | 34% |
| Economics, Econometrics and Finance | 9 | 20% |
| Medicine and Dentistry | 2 | 5% |
| Psychology | 2 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 13 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 58. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 January 2024.
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#746,806
of 25,998,826 outputs
Outputs from Demography
#213
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Outputs of similar age
#16,293
of 344,702 outputs
Outputs of similar age from Demography
#4
of 28 outputs
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