The European Union (EU) has expanded its membership significantly in recent years to include Central and Eastern European countries. These countries are at significantly different levels of economic development than the other member states of the EU and are expected to undergo an economic adjustment to their new social, political, and economic reality. This paper investigates the effects on property crime of this economic adjustment to accession to the EU, using Lithuania as a case study. Using Lithuanian municipalities and fixed-effects estimation for 2001—6, the statistical results indicate that accession to the EU has led to a significant increase in theft, burglary, and juvenile delinquency.
Andresen, M.A. (2006). Crime measures and the spatial analysis of criminal activity. British Journal of Criminology46, 258-85.
2.
Arvanites, T.M. and DeFina, R.H. (2006). Business cycles and street crime. Criminology44, 139-64.
3.
Baltagi, B.H. (2001). Econometric analysis of panel data, 2nd edn. Chichester: John Wiley.
4.
Brame, R., Bushway, S., and Paternoster, R. (1999). On the use of panel research designs and random effect models to investigate static and dynamic theories of criminal offending . Criminology37, 599-641.
5.
Cahill, M.E. and Mulligan, G.F. (2003). The determinants of crime in Tucson, Arizona. Urban Geography24, 582-610.
6.
Cantor, D. and Land, K. (1985). Unemployment and crime rates in the post World War II United States: A theoretical and empirical analysis. American Sociological Review50, 317-32.
7.
Ceccato, V. (2007). Crime dynamics at Lithuanian borders. European Journal of Criminology4, 131-60.
8.
Ceccato, V. and Haining, R. (2005). Assessing the geography of vandalism: Evidence from a Swedish city. Urban Studies42, 1637-56.
9.
Ceccato, V., Haining, R., and Signoretta, P. (2002). Exploring offence statistics in Stockholm City using spatial analysis tools. Annals of the Association of American Geographers92, 29-51.
10.
Cohen, L.E. and Felson, M. (1979). Social change and crime rate trends: A routine activity approach. American Sociological Review44, 588-608.
11.
Felson, M. and Cohen, L.E. (1980). Human ecology and crime: A routine activity approach . Human Ecology8, 398-405.
12.
Felson, M. and Cohen, L.E. (1981). Modeling crime trends: A criminal opportunity perspective. Journal of Crime and Delinquency18, 138-61.
13.
Fisher, B.S. and Wilkes, A.R.P. (2003). A tale of two ivory towers: A comparative analysis of victimization rates and risks between university students in the United States and England. British Journal of Criminology43, 526-45.
14.
Gottfredson, D.C., McNeil III, R.J., and Gottfredson, G.D. (1991). Social area influences on delinquency: A multilevel analysis. Journal of Research in Crime and Delinquency28, 197-226.
Grennes, T. (1997). The economic transition in the Baltic countries . Journal of Baltic Studies28, 9-24.
17.
Halvorsen, R. and Palmquist, R. (1980). The interpretation of dummy variables in semilogarithmic equations. American Economic Review70, 474-5.
18.
Hausman, J.A. (1978). Specification tests in econometrics. Econometrica46, 1251-71.
19.
Hirschi, T. and Gottfredson, M. (1983). Age and the explanation of crime. American Journal of Sociology89, 552-84.
20.
Hsiao, C. (2003). Analysis of panel data, 2nd edn. Cambridge: Cambridge University Press.
21.
Jakubauskas, E.B. (2000). The Lithuanian economy on the threshold of the new millennium. Journal of Baltic Studies31, 127-35.
22.
Juska, A., Johnstone, P., and Pozzuto, R. (2004). The changing character of criminality and policing in post-socialist Lithuania: From fighting organized crime to policing marginal populations? Crime, Law, & Social Change41, 161-77.
23.
Kennedy, L.W. and Forde, D.R. (1990). Routine activities and crime: An analysis of victimization in Canada. Criminology28, 137-52.
24.
Kennedy, P.E. (2003). A guide to econometrics, 5th edn. Malden, MA: Blackwell Publishing .
25.
Kennedy, P.E. (1981). Estimation with correctly interpreted dummy variables in semilogarithmic equations. American Economic Review71, 802.
26.
Kim, S. and Pridemore, W.A. (2005a). Social change, institutional anomie and serious property crime in transitional Russia. British Journal of Criminology45, 81-97.
27.
Kim, S. and Pridemore, W.A. (2005b). Poverty, socioeconomic change, institutional anomie, and homicide. Social Science Quarterly86, 1377-98.
28.
Kim, S. and Pridemore, W.A. (2005c). Social support and homicide in transitional Russia . Journal of Criminal Justice33, 561-72.
29.
Levitt, S.D. (2001). Alternative strategies for identifying the link between unemployment and crime. Journal of Quantitative Criminology17, 377-90.
30.
Linsky, A. and Straus, M. (1986). Social stress in the United States: Links to regional patterns in crime and illness. Dover, MA: Auburn House.
31.
Miethe, T.D., Stafford, M.C., and Long, J.S. (1987). Social differentiation in criminal victimization: A test of routine activities/lifestyle theories. American Sociological Review52, 184-94.
32.
Moulton, B.R. (1986). Random group effects and the precision of regression estimates. Journal of Econometrics32, 385-97.
33.
Moulton, B.R. (1987). Diagnostics for group effects in regression analysis . Journal of Business and Economic Statistics5, 275-82.
34.
Nagin, D.S. and Paternoster, R. (1991). On the relationship of past to future participation in delinquency. Criminology29, 163-289.
35.
Paternoster, R., Bushway, S., Brame, R., and Apel, R. (2003). The effect of teenage employment on delinquency of problem behaviors. Social Forces82, 297-335.
36.
Pridemore, W.A. (2005). Social structure and homicide in post-Soviet Russia . Social Science Research34, 732-56.
37.
Pridemore, W.A. and Kim, S. (2007). Socioeconomic change and homicide in a transitional society. Sociological Quarterly48, 229-51.
38.
Pridemore, W.A. and Shkolnikov, V.M. (2004) Education and marriage as protective factors against homicide mortality: Methodological and substantive findings from Moscow. Journal of Quantitative Criminology20, 173-87.
39.
Rice, K.J. and Smith, W.R. (2002). Socioecological models of automotive theft: Integrating routine activity and social disorganization approaches. Journal of Research in Crime and Delinquency39, 304-36.
40.
Sampson, R.J. and Groves, W.B. (1989). Community structure and crime: Testing social-disorganization theory. American Journal of Sociology94, 774-802.
41.
Sampson, R.J. and Wooldredge, J.D. (1987). Linking the micro- and macro-level dimensions of lifestyle-routine activity and opportunity models of predatory victimization. Journal of Quantitative Criminology3, 371-393.
42.
Shaw, C.R. (1929). Delinquency areas. Chicago, IL: University of Chicago Press.
43.
Shaw, C.R. and McKay, H.D. (1942). Juvenile delinquency and urban areas: A study of rates of delinquency in relation to differential characteristics of local communities in American cities. Chicago, IL: University of Chicago Press.
44.
Simcha-Fagan, O. and Schwartz, J.E. (1986). Neighborhood and delinquency: An assessment of contextual effects. Criminology27, 27-55.
45.
Smith, W.R., Frazee, S.G., and Davison, E.L. (2000). Furthering the integration of routine activity and social disorganization theories: Small units of analysis and the study of street robbery as a diffusion process. Criminology38, 489-523.
46.
Stark, R. (1996). Deviant places: A theory of the ecology of crime . In P. Cordella and L. J. Seigel (eds) Readings in contemporary criminological theory, 128- 42. Boston, MA: Northeastern University Press.
47.
Trefler, D. (2004). The long and short of the Canada-U.S. Free Trade Agreement. American Economic Review94, 870-95.
48.
Tseloni, A., Osborn, D.R., Trickett, A., and Pease, K. (2002). Modelling property crime using the British Crime Survey: What have we learnt? British Journal of Criminology42, 109-28.
49.
Tseloni, A., Wittebrood, K., Farrell, G., and Pease, K. (2004). Burglary victimization in England and Wales, the United States and the Netherlands. British Journal of Criminology4, 66-91.
50.
Van Wilsem, J. (2004). Criminal victimization in cross-national perspective . European Journal of Criminology1, 89-109.
51.
Wooldridge, J.M. (2002). Econometric analysis of cross section and panel data. Cambridge, MA: MIT Press.
52.
Worrall, J.L. and Pratt, T.C. (2004). On the consequences of ignoring unobserved heterogeneity when estimating macro-level models of crime. Social Science Research33, 79-105.
