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Crime and the economy in Mexican states : heterogeneous panel estimates (1993-2012) /
This paper studies the transmission of crime shocks to the economy in a sample of 32 Mexican states over the period from 1993 to 2012. The paper uses a panel structural VAR approach which accounts for the heterogeneity of the dynamic state level responses in GDP, FDI and international migration flow...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Autor Corporativo: | |
| Formato: | Documento de Gobierno Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Washington, District of Columbia :
International Monetary Fund,
2015.
|
| Colección: | IMF Working Papers ;
No. 15/121 |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Yepes, Concepción, |e author. | |
| 245 | 1 | 0 | |a Crime and the economy in Mexican states : |b heterogeneous panel estimates (1993-2012) / |c Concepcion Verdugo-Yepes, Peter Pedroni, and Xingwei Hu. |
| 264 | 1 | |a Washington, District of Columbia : |b International Monetary Fund, |c 2015. | |
| 264 | 4 | |c ©2015 | |
| 300 | |a 1 online resource (60 pages) : |b illustrations, tables | ||
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| 490 | 0 | |a IMF Working Papers ; |v No. 15/121 | |
| 504 | |a Includes bibliographical references. | ||
| 588 | 0 | |a Online resource; title from PDF title page (ebrary, viewed July 01, 2015). | |
| 505 | 0 | |a Cover; Abstract; Contents; Executive Summary; I. Introduction; Figures; Figure 1. Select Countries: Intentional Homicide Rates (per 100,000 inhabitants); Figure 2. Mexico: Real GDP Growth vs. Homicide Rates; II. Related Literature on the Relationship Between Crime and Other Economic Activity; III. Estimation and Identification Strategy; A. Overview of the Methodology; B. Overview of the Identification Strategy; Figure 3. SVAR Identification Scheme; IV. Data Sources; A. Real GDP for the Period During 1993 to 2012; B. Measures of Crime; Intentional Homicides; Other Measures | |
| 505 | 8 | |a Figure 4. Mexico: Comparative Homicide Rates from Different SourcesFigure 5. Mexico Homicide Rates vs. Incidence of Crime; C. Migration; D. Foreign Direct Investment; E. State-Specific Characteristics; V. Results of the Empirical Analysis; Figure 6. State Level Response of GDP to Idiosyncratic Crime Shocks; Figure 7. State Level Quantiles Response to Idiosyncratic Shocks; VI. Summary and Conclusions; Figure 8. Mexico: Response Patterns; VII. References; VIII. Technical Appendix for the Chain Linking of Two Real GDP Series in Different Base Years | |
| 505 | 8 | |a Figure 9. Approaches for Linking Real GDP Series for Mexican StatesTables; Table 1. GDP Sectors for Years 1993 and 2008; Figure 10. State Level Quantiles Impulse Responses to Idiosyncratic and Common Shocks; Figure 11. State Level Quantiles Variance Decomposition of Idiosyncratic and Common Shocks; Table 2. Names of Mexican States; Table 3. Data Sources | |
| 520 | |a This paper studies the transmission of crime shocks to the economy in a sample of 32 Mexican states over the period from 1993 to 2012. The paper uses a panel structural VAR approach which accounts for the heterogeneity of the dynamic state level responses in GDP, FDI and international migration flows, and measures the transmission via the impulse response of homicide rates. The approach also allows the study of the pattern of economic responses among states. In particular, the percentage of GDP devoted to new construction and the perception of public security are characteristics that are shown. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Crime |x Economic aspects |z Mexico. | |
| 650 | 7 | |a SOCIAL SCIENCE |x Criminology. |2 bisacsh | |
| 650 | 7 | |a Crime |x Economic aspects |2 fast | |
| 651 | 7 | |a Mexico |2 fast | |
| 700 | 1 | |a Verdugo Pedroni, Peter, |e author. | |
| 700 | 1 | |a L. Hu, Xingwei, |e author. | |
| 710 | 2 | |a International Monetary Fund. | |
| 776 | 0 | 8 | |i Print version: |a Yepes, Concepción. |t Crime and the economy in Mexican states : heterogeneous panel estimates (1993-2012). |d Washington, District of Columbia : International Monetary Fund, ©2015 |h 59 pages |k IMF Working Papers ; No. 15/121 |z 9781513541969 |
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