Alejandro Puerta, Andrés Ramírez-Hassan
arXiv 11 Sep 2020 · Econometrics
arXiv:2009.05360 · PDF · DOI · OpenAlex · Extracted main text
This paper proposes a Bayesian approach to perform inference regarding the size of hidden populations at analytical region using reported statistics. To do so, we propose a specification taking into account one-sided error components and spatial effects within a panel data structure. Our simulation exercises suggest good finite sample performance. We analyze rates of crime suspects living per neighborhood in Medell\'in (Colombia) associated with four crime activities. Our proposal seems to identify hot spots or "crime communities", potential neighborhoods where under-reporting is more severe, and also drivers of crime schools. Statistical evidence suggests a high level of interaction between homicides and drug dealing in one hand, and motorcycle and car thefts on the other hand.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Tsionas, E. G. and Kumbhakar, S. C (2014) Firm heterogeneity, persistent and transient technical inefficiency: A generalized true random-effects model | 0.874 | 5 | 2 | 100% |
| 2 | Li, H., Antonio, P., Desheng, L., and Shiguo, J (2015) Temporal stability of model parameters in crime rate analysis: An empirical examination | 0.644 | 2 | 2 | 100% |
| 3 | Andresen, M. A (2006) A spatial analysis of crime in vancouver, british columbia: A synthesis of social disorganization and routine activity theory | 0.644 | 2 | 2 | 100% |
| 4 | Arnio, A. N. and Baumer, E. P (2012) Demography, foreclosure, and crime: Assessing spatial heterogeneity in contemporary models of neighborhood crime rates | 0.644 | 2 | 2 | 100% |
| 5 | Kakamu, K., Polasek, W., and Wago, H (2008) Spatial interaction of crime incidents in japan | 0.644 | 2 | 2 | 100% |
| 6 | Kikuchi, G (2010) Neighborhood structures and crime: a spatial analysis | 0.644 | 2 | 2 | 100% |
| 7 | Olson, J. A., Schmidt, P., and Waldman, D. M (1980) A monte carlo study of estimators of stochastic frontier production functions | 0.644 | 2 | 2 | 100% |
| 8 | Ramŕez Hassan, A. and Montoya Blandón, S (2017) Welfare gains of the poor: An endogenous bayesian approach with spatial random effects | 0.644 | 2 | 2 | 100% |
| 9 | Simar, L. and Wilson, P. W (2009) Inferences from cross-sectional, stochastic frontier models | 0.644 | 2 | 2 | 100% |
| 10 | Duque, J. C., Anselin, L., and Rey, S. J (2012) The max-p-regions problem | 0.511 | 2 | 1 | 100% |
Showing the top 10 of 39 scored citations.