Acciari, P., Polo, A., & Violante, G. (2017). And yet, it moves’: Inter-generational mobility in Italy. Mimeo NYU.
Acemoglu, D., De Feo, G., & De Luca, G. D. (2020). Weak states: Causes and consequences of the Sicilian Mafia. Review of Economic Studies, 87(2), 537–581.
Acemoglu, D., Robinson, J. A., & Santos, R. J. (2013). The monopoly of violence: Evidence from Colombia. Journal of the European Economic Association, 11, 5–44.
Agliardi, E., Agliardi, R., Pinar, M., Stengos, T., & Topaloglou, N. (2012). A new country risk index for emerging markets: A stochastic dominance approach. Journal of Empirical Finance, 19(5), 741–761.
Agliardi, E., Pinar, M., & Stengos, T. (2014). A sovereign risk index for the Eurozone based on stochastic dominance. Finance Research Letters, 11(4), 375–384.
Agliardi, E., Pinar, M., & Stengos, T. (2015). An environmental degradation index based on stochastic dominance. Empirical Economics, 48(1), 439–459.
- Albanese, J. S. (2015). Organized crime: From the mob to transnational organized crime. London: Routledge. https://doi.org/10.4324/9781315721477 .
Paper not yet in RePEc: Add citation now
Alesina, A., Piccolo, S., & Pinotti, P. (2019). Organized crime, violence, and politics. The Review of Economic Studies, 86(2), 457–499.
Alexeev, M., Janeba, E., & Osborne, S. (2004). Taxation and evasion in the presence of extortion by organized crime. Journal of Comparative Economics, 32, 375–387.
- Anselin, L., Cohen, J., Cook, D., Gorr, W., & Tita, G. (2000). Spatial analyses of crime. In Duffee D. (Ed.), Criminal justice vol. 4, pp. 213–262.
Paper not yet in RePEc: Add citation now
Arvanitis, S., & Topaloglou, N. (2017). Testing for prospect and Markowitz stochastic dominance efficiency. Journal of Econometrics, 198(2), 253–270.
Backhaus, J. (1979). Defending organized crime? A note. The Journal of Legal Studies, 8(3), 623–631.
- Battisti, M., Bernardo, G., Konstantinidi, A., Kourtellos, A., & Lavezzi, A. M. (2020). Socio-economic inequalities and organized crime: An empirical analysis. In D. Weisburd, E. Savona, B. Hasisi, & F. Calderoni (Eds.), Understanding recruitment to organized crime and terrorism. Cham: Springer.
Paper not yet in RePEc: Add citation now
Battisti, M., Bernardo, G., Lavezzi, A. M., & Maggio, G. (2019). Shooting down the price: Evidence from mafia homicides and housing market volatility. Working Paper series 19-05, Rimini Centre for Economic Analysis.
Battisti, M., Lavezzi, A. M., Masserini, L., & Pratesi, M. (2018). Resisting the extortion racket: An empirical analysis. European Journal of Law and Economics, 46(1), 1–37.
Becker, G. S. (1968). Crime and punishment: An economic approach. Journal of Political Economy, 76(2), 169–217.
Becker, G. S., Murphy, K. M., & Grossman, M. (2006). The market for illegal goods: The case of drugs. Journal of Political Economy, 114(1), 38–60.
- Boeri, F., Di Cataldo, M., & Pietrostefani, E. (2019). Out of the darkness: Re-allocation of confiscated real estate mafia assets. Available at SSRN. https://ssrn.com/abstract=3488626 .
Paper not yet in RePEc: Add citation now
Buchanan, J. M. (1973). A defense of organized crime? In S. Rottenberg (Ed.), The economics of crime and punishment. American Enterprise Institute.
- Buonanno, P., & Pazzona, M. (2014). Migrating mafias. Regional Science and Urban Economics, 44, 75–81.
Paper not yet in RePEc: Add citation now
Caglayan, M., Flamini, A., & Jahanshahi, B. (2018). Organised crime and technology. DEM Working Papers Series, n. 143, Università di Pavia.
Calamunci, F., & Drago, F. (2020). The economic impact of organized crime infiltration in the legal economy: Evidence from the judicial administration of organized crime firms. Italian Economic Journal, 6, 275–297.
Calderoni, F. (2011). Where is the mafia in Italy? Measuring the presence of the mafia across Italian provinces. Global Crime, 12(1), 41–69.
- Calderoni, F. (2014). Measuring the presence of the mafias in Italy. In S. Caneppele & F. Calderoni (Eds.), Organized crime, corruption and crime prevention (pp. 239–249). New York, NY: Springer.
Paper not yet in RePEc: Add citation now
Capuano, C., & Giacalone, M. (2018). Measuring organized crime: Statistical indicators and economic aspects. Economics and Econometrics Research Institute Research Paper Series, n. 11, Brussels.
- Carraro, C., Campagnolo, L., Eboli, F., Giove, S., Lanzi, E., Parrado, R., et al. (2013). The FEEM sustainability index: An integrated tool for sustainability assessment. In M. G. Erechtchoukova, P. A. Khaiter, & P. Golinska (Eds.), Sustainability appraisal: Quantitative methods and mathematical techniques for environmental performance evaluation (pp. 9–32). Berlin: Springer, Berlin Heidelberg.
Paper not yet in RePEc: Add citation now
- Catino, M. (2014). How do mafia as organize? Conflict and violence in three mafia organizations. European Journal of Sociology, 55(2), 177–220. https://doi.org/10.1017/S0003975614000095 .
Paper not yet in RePEc: Add citation now
- Centorrino, M., & Ofria, F. (2008). Criminalità organizzata e produttività del lavoro nel Mezzogiorno: un’applicazione del modello Kaldor-Verdoorn. Rivista Economica del Mezzogiorno, 1, 163–189.
Paper not yet in RePEc: Add citation now
- Centorrino, M., & Signorino, G. (1993). Criminality and models of local economy. In S. Zamagni (Ed.), Illegal markets and mafias. The economy of organised crime. Bologna: Il Mulino.
Paper not yet in RePEc: Add citation now
- Centorrino, M., & Signorino, G. (1997). Macroeconomy of the mafia. Roma: La Nuova Italia Scientifica.
Paper not yet in RePEc: Add citation now
Cracolici, M. F., & Uberti, T. E. (2009). Geographical distribution of crime in Italian provinces: A spatial econometric analysis. Jahrbuch für Regionalwissenschaft, 29, 1–28.
Dal Bó, E., & Di Tella, R. D. (2003). Capture by threat. Journal of Political Economy, 111, 1123–1154.
Daniele, G., & Dipoppa, G. (2017). Mafia, elections and violence against politicians. Journal of Public Economics, 154, 10–33.
Daniele, G., & Geys, B. (2015). Organised crime, institutions and political quality: Empirical evidence from Italian municipalities. Economic Journal, 125, 233–255.
Daniele, V. (2009). Organized crime and regional development. A review of the Italian case. Trends in Organized Crime, 12(3–4), 211–234.
Daniele, V., & Marani, U. (2011). Organized crime, the quality of local institutions and FDI in Italy: A panel data analysis. European Journal of Political Economy, 27, 132–142.
De Feo, G., & De Luca, G. D. (2017). Mafia in the ballot box. American Economic Journal: Economic Policy, 9(3), 134–167.
Decancq, K., & Lugo, M. A. (2013). Weights in multidimensional indices of wellbeing: An overview. Econometric Reviews, 32(1), 7–34.
Di Cataldo, M., & Mastrorocco, N. (2020). Organised crime, captured politicians, and the allocation of public resources. University Ca’ Foscari of Venice, Dept. of Economics Research Paper Series No. 04/WP/2020. Available at SSRN. https://ssrn.com/abstract=3599850 .
Dugato, M., Calderoni, F., & Campedelli, G. M. (2020). Measuring organised crime presence at the municipal level. Social Indicator Research, 147, 237–261.
- Dugato, M., De Simoni, M., & Savona, E. U. (2014). Measuring OC in Latin America. A methodology for developing and validating scores and composite indicators at national and subnational level. Aguascalientes, Mexico: INEGI/UNODC. Retrieved from http://www.transcrime.it/pubblicazioni/measuring-oc-in-latin-america/ .
Paper not yet in RePEc: Add citation now
- Europol. (2013). Europol Review 2013. Available via: https://data.europa.eu/euodp/en/data/dataset/europol-review-2013/resource/e017b72a-259e-42f7-816a-64a724d8e4e2 .
Paper not yet in RePEc: Add citation now
- Fabrizi, M., Malaspina, P., & Parbonetti, A. (2019). The economic consequences of criminal firms. Presented at the 2019 global issues in accounting conference at Chicago Booth, Available at SSRN. https://ssrn.com/abstract=3444839 .
Paper not yet in RePEc: Add citation now
Fang, Y., & Post, T. (2017). Higher-degree stochastic dominance optimality and efficiency. European Journal of Operational Research, 261(3), 984–993.
- Felice, E. (2018). The socio-institutional divide: Explaining Italy’s long-term regional differences. The Journal of Interdisciplinary History, 49(1), 43–70.
Paper not yet in RePEc: Add citation now
Foster, J., McGillivray, M., & Seth, S. (2013). Composite indices: Rank robustness, statistical association, and redundancy. Econometric Reviews, 32(1), 35–56.
Ganau, R., & Rodríguez-Pose, A. (2018). Industrial clusters, organized crime, and productivity growth in Italian SMEs. Journal of Regional Science, 58(2), 363–385.
- Gonzalez-Ruiz, S., & Buscaglia, E. (2002).How to design a national strategy against organized crime in the framework of the United Nations’ Palermo convention. The Fight against Organized Crime (Lima, United Nations International Drug Control Programme, 2002), pp. 23–26.
Paper not yet in RePEc: Add citation now
Greco, S., Ishizaka, A., Tasiou, M., & Torrisi, G. (2019). On the methodological framework of composite indices: A review of the issues of weighting, aggregation, and robustness. Social Indicators Research, 141, 61–94.
- ISTAT (2010). B. Indicatori di contesto chiave e variabili di rottura. September 2010. http://www.istat.it/ambiente/contesto/infoterr/azioneB.html#tema .
Paper not yet in RePEc: Add citation now
Kugler, M., Verdier, T., & Zenou, Y. (2005). Organized crime, corruption and punishment. Journal of Public Economics, 89(8–9), 1639–1663.
Kuosmanen, T. (2004). Efficient diversification according to stochastic dominance criteria. Management Science, 50, 1390–1406.
Lavezzi, A. M. (2008). Economic structure and vulnerability to organised crime: Evidence from Sicily. Global Crime, 3(9), 198–220.
- Levitt, S. D., & Venkathesh, S. A. (2000). An economic analysis of a drug-selling gang’s finances. Quarterly Journal of Economics, 115(3), 755–789.
Paper not yet in RePEc: Add citation now
Linton, O., Post, T., & Whang, Y.-J. (2014). Testing for the stochastic dominance efficiency of a given portfolio. Econometrics Journal, 17, 59–74.
McGillivray, M. (2005). Measuring non-economic well-being achievement. Review of Income and Wealth, 51(2), 337–364.
Mehdi, T. (2019). Stochastic dominance approach to OECD’s better life index. Social Indicators Research, 143(3), 917–954.
Mennella, A. (2011). La criminalità organizzata quale intermediario nel mercato del lavoro. Argomenti, 31, 65–105.
- Messner, S. F., Anselin, L., Baller, R. D., Hawkins, D. F., Deane, G., & Tolnay, S. E. (1999). The spatial pattering of county homicide rates: An application of explanatory spatial data analysis. Journal of Quantitative Criminology, 15(4), 423–450.
Paper not yet in RePEc: Add citation now
- Ministry Interior, Italia. (2007). Rapporto sulla criminalità e la Sicurezza in Italia. Available via: https://www1.interno.gov.it/mininterno/export/sites/default/it/assets/files/14/0900_rapporto_criminalita.pdf .
Paper not yet in RePEc: Add citation now
Neanidis, K. C., Rana, M. P., & Blackburn, K. (2017). An empirical analysis of organized crime, corruption and economic growth. Annals of Finance, 13(3), 273–298.
Nifo, A., & Vecchione, G. (2014). Do Institutions play a role in skilled migration? The case of Italy, Regional Studies, 48(10), 1628–1649. https://doi.org/10.1080/00343404.2013.835799 .
- OECD. (2008). Handbook on constructing composite indicators: Methodology and user guide. Paris: OECD Publishing.
Paper not yet in RePEc: Add citation now
Ogwang, T., & Abdou, A. (2003). The choice of principal variables for computing some measures of human well-being. Social Indicators Research, 64(1), 139–152.
Peri, G., (2004). Socio-cultural variables and economic success: Evidence from Italian provinces 1951–1991. The B.E. Journal of Macroeconomics. Topics in Macroeconomics 4, article 12.
Pinar, M. (2015). Measuring world governance: Revisiting the institutions hypothesis. Empirical Economics, 48(2), 747–778.
Pinar, M., Cruciani, C., Giove, S., & Sostero, M. (2014). Constructing the FEEM sustainability index: A Choquet integral application. Ecological Indicators, 39, 189–202.
Pinar, M., Milla, J., & Stengos, T. (2019). Sensitivity of university rankings: Implications of stochastic dominance efficiency analysis. Education Economics, 27(1), 75–92.
Pinar, M., Stengos, T., & Topaloglou, N. (2013). Measuring human development: A stochastic dominance approach. Journal of Economic Growth, 18(1), 69–108.
Pinar, M., Stengos, T., & Topaloglou, N. (2017). Testing for the implicit weights of the dimensions of the Human Development Index using stochastic dominance. Economics Letters, 161, 38–42.
Pinar, M., Stengos, T., & Yazgan, M. E. (2015). Measuring human development in the MENA region. Emerging Markets Finance and Trade, 51(6), 1179–1192.
- Pinotti, P. (2011). The economic consequences of organized crime: Evidence from Southern Italy. Bank of Italy.
Paper not yet in RePEc: Add citation now
Pinotti, P. (2015a). The economic costs of organised crime: Evidence from Southern Italy. The Economic Journal, 125(586), F203–F232.
Pinotti, P. (2015b). The causes and consequences of organised crime: Preliminary evidence across countries. The Economic Journal, 125(586), F158–F174.
Pinotti, P. (2020). The credibility revolution in the empirical analysis of crime. Italian Economic Journal, 6, 207–220.
Post, T. (2003). Empirical tests for stochastic dominance efficiency. Journal of Finance, 58, 1905–1932.
Post, T., & Poti, V. (2017). Portfolio analysis using stochastic dominance, relative entropy and empirical likelihood. Management Science, 63(1), 153–165.
Post, T., & Versijp, P. (2007). Multivariate tests for stochastic dominance efficiency of a given portfolio. Journal of Financial and Quantitative Analysis, 42, 489–516.
Ram, R. (1982). Composite indices of physical quality of life, basic needs fulfilment, and income. A ‘principal component’ representation. Journal of Development Economics, 11(2), 227–247.
Ray, A. K. (2008). Measurement of social development: An international comparison. Social Indicators Research, 86(1), 1–46.
- Roman, D., Darby-Dowman, K., & Mitra, G. (2006). Portfolio construction based on stochastic dominance and target return distributions. Mathematical Programming, 108, 541–569.
Paper not yet in RePEc: Add citation now
- Sansò-Rubert Pascual, D. (2017). Democracias bajo presión: Estado, Fuerzas Armadas y Crimen Organizado en América Latina: ¿Éxito o fracaso de la estrategia de contención militar? Madrid: Dykinson.
Paper not yet in RePEc: Add citation now
- Savona, E. U., Dugato, M., & Garofalo, L. (2012). A framework for the quantification of organized crime and assessment of availability and quality of relevant data in three selected countries of Latin America and the Caribbean. Aguascalientes: INEGI/UNODC.
Paper not yet in RePEc: Add citation now
Scaillet, O., & Topaloglou, N. (2010). Testing for stochastic dominance efficiency. Journal of Business & Economic Statistics, 28(1), 169–180.
- Shelling, T. (1971–1984a). What is the Business of Organized Crime? In Shelling, T. (Ed.), Choice and consequences. Harvard University Press, Cambridge.
Paper not yet in RePEc: Add citation now
- Shelling, T. (1984). Economics and criminal Enterprise. In T. Shelling (Ed.), Choice and consequences (pp. 158–178). Cambridge, MA: Harvard University Press.
Paper not yet in RePEc: Add citation now
- Singh, R. K., Murty, H. R., Gupta, S. K., & Dikshit, A. K. (2012). An overview of sustainability assessment methodologies. Ecological Indicators, 15(1), 281–299.
Paper not yet in RePEc: Add citation now
Smits, J., & Steendijk, R. (2015). The international wealth index (IWI). Social Indicators Research, 122(1), 65–85.
Torres-Preciado, V. H., Polanco-Gaytán, M., & Tinoco-Zermeño, M. A. (2017). Crime and regional economic growth in Mexico: A spatial perspective. Papers in Regional Science, 96, 477–494.
- UNODC. (2010). Promoting health, security and justice. ( https://www.unodc.org/documents/frontpage/UNODC_Annual_Report_2010_LowRes.pdf ).
Paper not yet in RePEc: Add citation now
- van Dijk, J. (2007). Mafia markers: Assessing organized crime and its impact upon societies. Trends in Organized Crime, 10(4), 39–56.
Paper not yet in RePEc: Add citation now
- Wendling, Z. A., Emerson, J. W., de Sherbinin, A., Esty, D. C., et al. (2020). 2020 Environmental performance index. New Haven, CT: Yale Center for Environmental Law & Policy. Available via: https://epi.yale.edu/downloads/epi2020technicalappendix20200604.pdf .
Paper not yet in RePEc: Add citation now