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The Effects of Immigrant Concentration on Changes in Neighborhood Crime Rates

Journal of Quantitative Criminology volume 29, pages 191–215 (2013)Cite this article

Abstract

Objectives

This study investigated the extent to which immigrant concentration is associated with reductions in neighborhood crime rates in the City of Los Angeles.

Methods

A potential outcomes model using two-stage least squares regression was estimated, where immigrant concentration levels in 1990 were used as an instrumental variable to predict immigrant concentration levels in 2000. The instrumental variables design was used to reduce selection bias in estimating the effect of immigrant concentration on changes in official crime rates between 2000 and 2005 for census tracts in the City of Los Angeles, holding constant other demographic variables and area-level fixed effects. Non-parametric smoothers were also employed in a two-stage least squares regression model to control for the potential influence of heterogeneity in immigrant concentration on changes in crime rates.

Results

The results indicate that greater predicted concentrations of immigrants in neighborhoods are linked to significant reductions in crime. The results are robust to a number of different model specifications.

Conclusions

The findings challenge traditional ecological perspectives that link immigrant settlement to higher rates of crime. Immigration settlement patterns appear to be associated with reducing the social burden of crime. Study conclusions are limited by the potential for omitted variables that may bias the observed relationship between immigrant concentration and neighborhood crime rates, and the use of only official crime data which may under report crimes committed against immigrants. Understanding whether immigrant concentration is an important dynamic of changing neighborhood patterns of crime outside Los Angeles will require replication with data from other U.S. cities.

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Fig. 1
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Notes

  1. More recent work from the Moving to Opportunity (MTO) experiments suggests that the long term effects of neighborhood characteristics on criminal propensity are modest, and appear to occur only for black females (see Kling et al. 2005). However, Clampet-Lundquist and Massey (2008) argue that the MTO study failed to deliver enough of a dosage in race-class differences in neighborhoods to adequately assess neighborhood effects. Ludwig et al. (2008) in the same issue provide a rebuttal.

  2. The use of historical immigration patterns as an instrument for current patterns has been done in economics to remove selection bias in estimating the effect of immigration on labor market outcomes for different skill groups (Altonji and Card 1991; Card 2001).

  3. FBI Uniform Crime Index offenses reflect the following criminal offenses: homicide, rape, robbery, aggravated assault, burglary, larceny/theft, and motor vehicle theft.

  4. http://factfinder.census.gov/.

  5. There are on average about 1.2 RDs per census tract. Because census tracts and RDs have different geographic shapes, spatial interpolation is necessary to re-configure all data sources into the same unit of analysis. The overall degree of overlap was approximately 85–90 % between RDs and census tracts. Location data (X–Y coordinates) for all index offenses were not routinely collected by the LAPD until 2006. The RD is the lowest level of reliable geography for LA.

  6. This method assumes that the source data or analysis units are uniformly distributed over the source zones. Since there is no clear process to inform how the crime units are spatially distributed, the areal weighting method is an acceptable approach (Goodchild and Lam 1980).

  7. When we calculate the predicted change in the percentage of residents that are of Hispanic/Latino ethnicity between 1990 and 2000 and the predicted change in the percentage of residents that are foreign born—the two are so highly correlated (r = 0.75) that they are statistically indistinguishable from each other.

  8. Approximately 85 % of the joint variance in foreign born and Latino is accounted for by the first principal component; 72 % of the variance in four measures of poverty is accounted for by the first principal component; 91 % of the joint variance in percentage owner occupied and units 5 years or more is accounted for by the first principal component.

  9. We are interested in neighborhoods with similar expected probabilities of receiving immigrant settlement, and comparing the difference in crime changes between those that actually receive this treatment versus those that don’t. We explicitly do not examine changes in neighborhood immigrant concentration between 1990 and 2000 as predictors of changes in crime from 2000 to 2005 because this assumes a uniform effect of across neighborhoods. The relative change in levels of immigrant concentration is biased toward neighborhoods with low immigrant populations in 1990. Neighborhoods with relatively high concentrations of immigrants in 1990 will have little change over time, as we note in our selection model.

  10. The vector of parameters from these variables should not be interpreted as causal estimates since they have not been identified in our selection model (Angrist and Krueger 2001).

  11. For geographic areas we rely on LAPD Divisions: 19 unique geographic boundaries that represent semi-autonomous areas for which police allocation and planning decisions are made.

  12. An alternative specification to control for larger spatial effects is to include a spatial lag to account for the fact that crime in neighboring areas may be correlated with changes in each neighborhood (i). A spatial lag comes from a spatial weight matrix that would typically be constructed by a weighted average of crime rates for each neighborhood (i) as a function of all other neighborhoods of LA either bordering each other or at different distances (j), with weights equal to the inverse of the distance (1/distance) i to j. This approach was developed for handling the problem of spatial autocorrelation in cross sectional data. There are, however, well known shortcomings to the spatial econometric approach as it applies to longitudinal data. If we included a spatial lag parameter in our model we would have to assume that the spatial elements are exogenous to the model and not correlated with the residuals. Instead, we control for spatial dependence by including police division parameters, which adjusts for the average level of crime in different geographic regions and controls for this form of spatial dependence non-parametrically. We did estimate a separate spatial errors model according to the following form:

    $$ \Updelta \hat{Y}_{i} = \mu + \theta i \, \hat{T} + X_{i}^{\prime } \beta + e_{d(i)} $$

    where \( e_{d(i)} \) represents a weight matrix of the residuals clustered within the 19 police divisions. The results from this spatial errors specification are substantively the same and presented in “Appendix 1”.

  13. We use natural cubic spline parameters with 3 knots computed from a B-spline basis.

  14. We do not calculate crimes per population for each census tract because the census tract population does not present a stable denominator of the population at risk. A number of high frequency census tracts are located in central-city business districts and industrial areas with relatively low populations. Therefore, calculating the crime rate per census tract population could lead to distorted estimates. Since our focus is on within-neighborhood change in crime, the lack of a specific denominator for population at risk does not present a problem. In fact all areas of LA were increasing in population suggesting that our use of the change in crime counts is a conservative estimate of the change in crime rates.

  15. The reduced form estimates are obtained by substituting Eq. 4 into Eq. 5.

  16. The Wu-Hausman test of the null hypothesis of endogeneity between immigrant concentration in 2000 and change in violent crime (F = 112.83) and total crime (F = 21.65) was rejected at the p < 0.001 level, suggesting that levels of immigration were endogenous to changes in crime and that OLS estimates would be inconsistent. The OLS estimates of including percent immigrants in 2000 as a covariate without taken into account selection find a small effect on violent crime (b = −0.608; t = −3.22; p = 0.001) and a non-significant effect for total crime (b = −1.20; t = −1.80; p = 0.072).

  17. The Pearson correlation between predicted immigrant concentration and residuals was 0.034 (p = 0.324) for violent crime and 0.017 (p = 0.621) for total crime.

  18. Freedman (2006) notes that the use of robust standard errors corrections on observational data requires the analyst to make the assumption that the model is correct, but that the standard errors estimated are wrong. If such is true then it might be useful to get the correct variance, but if interest is in interpreting the parameters then correcting the variance is not useful.

  19. Eighty-three percent of the covariance between these two variables was explained by the first component.

References

  • Alba R, Nee V (2003) Remaking the American mainstream: assimilation and contemporary immigration. Harvard University Press, Cambridge

    Google Scholar 

  • Altonji JG, Card D (1991) The effects of immigration on the labor market outcomes of less skilled natives. In: Abowd JM, Freeman RB (eds) Immigration, trade, and the labor market. The University of Chicago Press, Chicago, pp 201–231

    Google Scholar 

  • Anderson E (1998) The social ecology of youth violence. In: Tonry M, Moore MH (eds) Crime and justice: a review of research, vol 24, youth violence. University of Chicago Press, Chicago, pp 65–104

    Google Scholar 

  • Angrist JD, Krueger AB (2001) Instrumental variables and the search for identification: from supply and demand to natural experiments. J Econ Perspect 15:69–85

    Article  Google Scholar 

  • Angrist JD, Pischke J-S (2009) Mostly harmless econometrics. Princeton University Press, Princeton

    Google Scholar 

  • Angrist JD, Imbens GW, Rubin DB (1996) Identification of causal effects using instrumental variables. J Am Stat Assoc 91:444–455

    Article  Google Scholar 

  • Blumstein Alfred, Wallman Joel (eds) (2001) The crime drop in America. Cambridge University Press, New York

    Google Scholar 

  • Breton R (1964) Institutional completeness of ethnic communities and the personal relations of immigrants. Am J Sociol 70:193–205

    Article  Google Scholar 

  • Bursik RJ Jr (1986) Ecological stability and the dynamics of delinquency. In: Reiss AJ Jr, Tonry MH (eds) Crime and community. University of Chicago Press, Chicago, pp 35–66

    Google Scholar 

  • Bursik RJ Jr (2006) Rethinking the Chicago school of criminology: a new era of immigration. In: Martinez R Jr, Valenzuela A Jr (eds) Immigration and crime: race, ethnicity and violence. New York University Press, New York, pp 20–35

    Google Scholar 

  • Bursik RJ Jr, Grasmick HG (1993) Neighborhoods and crime: the dimensions of effective community control. Lexington, New York

    Google Scholar 

  • Bursik RJ Jr, Webb J (1982) Community change and patterns of delinquency. Am J Sociol 88(1):24–42

    Article  Google Scholar 

  • Butcher KF, Piehl AM (1998) Cross-city evidence on the relationship between immigration and crime. J Policy Anal Manage 17(3):457–493

    Article  Google Scholar 

  • Card D (2001) Immigrant inflows, native outflows and the local labor market impacts of higher immigration. J Labor Econ 19:22–64

    Article  Google Scholar 

  • Charles CZ (2006) Won’t you be my neighbor? Race, class, and residence in Los Angeles. Russell Sage Foundation, New York

    Google Scholar 

  • Clampet-Lundquist S, Massey DS (2008) Neighborhood effects on economic self-sufficiency: a reconsideration of the moving to opportunity experiment. Am J Sociol 114(1):107–143

    Article  Google Scholar 

  • Cook PJ, Laub JH (1998) The epidemic of youth violence. In: Tonry M, Moore MH (eds) Crime and justice: a review of research, vol 24, youth violence. University of Chicago Press, Chicago, pp 27–64

    Google Scholar 

  • Cullen JB, Levitt SD (1999) Crime, urban flight, and the consequences for cities. Rev Econ Stat 81(2):159–169

    Article  Google Scholar 

  • Cutler DM, Glaeser EL, Vigdor JL (1999) The rise and decline of the American Ghetto. J Polit Econ 107:455–506

    Article  Google Scholar 

  • Cutler DM, Glaeser EL, Vigdor JL (2008) Is the melting pot still hot? Explaining the resurgence of immigrant segregation. Rev Econ Stat 90:478–497

    Article  Google Scholar 

  • Desmond S, Kubrin CE (2009) The power of place: immigrant communities and adolescent violence. Sociol Q 50:581–607

    Article  Google Scholar 

  • Donnelly PG, Majka TJ (1998) Residents’ efforts at neighborhood stabilization: facing the challenges of inner-city neighborhoods. Sociol Forum 13(2):189–213

    Article  Google Scholar 

  • Edin P-A, Fredriksson P, Aslund O (2003) Ethnic enclaves and the economic success of immigrants: evidence from a natural experiment. Q J Econ 118:329–357

    Article  Google Scholar 

  • Freedman DA (2006) On the so-called ‘Huber Sandwich Estimator’ and ‘Robust’ standard errors. Am Stat 60:299–302

    Article  Google Scholar 

  • Glaeser EL, Sacerdote B (1999) Why is there more crime in cities? J Polit Econ 107(S6):225–258

    Article  Google Scholar 

  • Goodchild MF, Lam NS-N (1980) Areal interpolation: a variant of the traditional spatial problem. Geo Process 1(3):297–312

    Google Scholar 

  • Graif C, Sampson RJ (2009) Spatial heterogeneity in the effects of immigration and diversity on neighborhood homicide rates. Homicide Stud 13(3):242–260

    Article  Google Scholar 

  • Hagan J, Palloni A (1998) Immigration and crime in the United States. In: Smith JP, Edmonston B (eds) The immigration debate. National Academy Press, Washington DC, pp 367–387

    Google Scholar 

  • Heckman JJ, Vytlacil EJ (1999) Local instrumental variables and latent variable models for identifying and bounding treatment effects. Proc Nat Acad Sci 96:4730–4734

    Article  Google Scholar 

  • Heitgerd JL, Bursik RJ (1987) Extracommunity dynamics and the ecology of delinquency. Am J Sociol 92:775–787

    Article  Google Scholar 

  • Hindelang MJ (1981) Variations in sex-race-age-specific incidence rates of offending. Am Sociol Rev 46:461–475

    Article  Google Scholar 

  • Hipp JR (2010) The role of crime in housing unit racial/ethnic transition. Criminology 48:683–724

    Article  Google Scholar 

  • Hipp JR, Tita GE, Greenbaum RT (2009) Drive-bys and trade-ups: the impact of crime on residential mobility patterns in Los Angeles. Soc Forces 87:1777–1812

    Article  Google Scholar 

  • Jolliffe IT (2002) Principal component analysis, 2nd edn. Springer, New York

    Google Scholar 

  • Kirk DS (2009) A natural experiment on residential change and recidivism: lessons from hurricane Katrina. Am Sociol Rev 74(3):484–504

    Article  Google Scholar 

  • Kling JR, Ludwig J, Katz LF (2005) Neighborhood effects on crime for female and male youth: evidence from a randomized housing voucher experiment. Quart J Econ 120:87–130

    Google Scholar 

  • Land KC, McCall PL, Cohen LE (1990) Structural covariates of homicide rates: are there any invariances across time and social space? Am J Sociol 95(4):922–963

    Article  Google Scholar 

  • Lee MT, Martinez R Jr (2006) Immigration and Asian homicide patterns in urban and suburban San Diego. In: Martinez R Jr, Valenzuela A Jr (eds) Immigration and crime: race, ethnicity, and violence. New York University Press, New York, pp 90–116

    Google Scholar 

  • Lee MT, Martinez R Jr, Rosenfeld R (2001) Does immigration increase homicide? Negative evidence from three border cities. Sociol Q 42:559–580

    Article  Google Scholar 

  • Levitt SD (2004) Understanding why crime fell in the 1990s: four factors that explain the decline and six that do not. J Econ Perspect 18(1):163–190

    Article  Google Scholar 

  • Lichter DT, Domenico P, Taquino MC, Michael GS (2010) Residential segregation in new Hispanic destinations: cities, suburbs, and rural communities compared. Soc Sci Res 38:215–230

    Article  Google Scholar 

  • Logan JR (1978) Growth, politics, and the stratification of places. Am J Sociol 84:404–416

    Article  Google Scholar 

  • Logan JR, Zhang W, Alba RD (2002) Immigrant enclaves and ethnic communities in New York and Los Angeles. Am Sociol Rev 67:299–322

    Article  Google Scholar 

  • Ludwig J, Liebman J, Kling J, Duncan GJ, Katz LF, Kessler RC, Sanbonmatsu L (2008) What can we learn about neighborhood effects from the moving to opportunity experiment? A comment on Clampet-Lundquist and Massey. Am J Sociol 114(1):144–188

    Article  Google Scholar 

  • Malone N, Baluja KF, Costanzo JM, Davis CJ (2003) The foreign-born population: 2000. Census 2000 brief. U.S. Census Bureau, Washington DC. Retrieved August 11, 2009 (http://www.census.gov/prod/2003pubs/c2kbr-34.pdf)

  • Martinez R Jr, Lee MT (2000) On immigration and crime. In: LaFree G (ed) Criminal justice 2000, vol 1, the nature of crime: continuity and change. National Institute of Justice, Washington, DC, pp 485–524

    Google Scholar 

  • Martinez R Jr, Stowell JI, Cancino JM (2008) A tale of two border cities: community context, ethnicity, and homicide. Soc Sci Q 89:1–16

    Article  Google Scholar 

  • Martinez R Jr, Stowell JI, Lee MT (2010) Immigration and crime in era of transformation: a longitudinal analysis of homicides in San Diego neighborhoods, 1980–2000. Criminology 48:797–830

    Article  Google Scholar 

  • Massey D (1985) Ethnic residential segregation: a theoretical synthesis and empirical review. Sociol Soc Res 69:315–350

    Google Scholar 

  • Massey DS, Denton NA (1992) Racial identity and the spatial assimilation of Mexicans in the United States. Soc Sci Res 21(3):235–260

    Article  Google Scholar 

  • Massey DS, Denton NA (1993) American apartheid: segregation and the making of the underclass. Harvard University Press, Cambridge

    Google Scholar 

  • Mayer SE, Jencks C (1989) Growing up in poor neighborhoods: how much does it matter? Science 243:1441–1445

    Article  Google Scholar 

  • Merton RK (1938) Social structure and anomie. Am Sociol Rev 3(5):672–682

    Article  Google Scholar 

  • Moehling C, Piehl AM (2009) Immigration, crime, and incarceration in early twentieth-century America. Demography 46(4):739–763

    Article  Google Scholar 

  • Moffitt RA (1999) Model of treatment effects when responses are heterogeneous. Proc Nat Acad Sci 96:6575–6576

    Article  Google Scholar 

  • Moffitt RA (2008) Estimating marginal treatment effects in heterogeneous populations. Working paper. Retrieved August 11, 2009 (http://www.econ.jhu.edu/people/moffitt/welfls0_v4b.pdf)

  • Morenoff JD, Astor A (2006) Immigrant Assimilation and Crime: Generational Differences in Youth Violence in Chicago. In: Martinez R Jr, Valenzuela A Jr (eds) Immigration and crime: race, ethnicity and violence. New York University Press, New York, pp 36–63

    Google Scholar 

  • Morenoff JD, Sampson RJ (1997) Violent crime and the spatial dynamics of neighborhood transition: Chicago, 1970–1990. Soc Forces 76(1):31–64

    Google Scholar 

  • Morenoff JD, Sampson RJ, Raudenbush SW (2001) Neighborhood inequality, collective efficacy, and the spatial dynamics of urban violence. Criminology 39(3):517–558

    Article  Google Scholar 

  • Ousey GC, Kubrin CE (2009) Exploring the connection between immigration and violent crime rates in U.S. Cities, 1980–2000. Soc Probl 56:447–473

    Article  Google Scholar 

  • Park RE, Burgess EW (1924) Introduction to the science of sociology. University of Chicago Press, Chicago

    Google Scholar 

  • Passel JS, Suro R (2005) Rise, peak and decline: trends in U.S. immigration 1992–2004. Pew Hispanic Center, Washington, DC. Retrieved August 11, 2009 (http://pewhispanic.org/reports/report.php?ReportID=53)

  • Portes A, Rumbaut R (1990) Immigrant America: a portrait. University of California Press, Berkeley

    Google Scholar 

  • Portes A, Zhou M (1993) The new second generation: segmented assimilation and its variants. Ann Am Acad Polit Soc Sci 530:74–96

    Article  Google Scholar 

  • Rampart Independent Review Panel (2001) A report to the Los Angeles board of police commissioners concerning special order 40. Retrieved May 4, 2009 (http://www.lacity.org/oig/Special_Order_40_708061_v1.pdf)

  • Reckless W, Smith H (1932) Juvenile delinquency. McGraw-Hill, New York

    Google Scholar 

  • Rubin DB (1974) Estimating causal effects of treatments in randomized and nonrandomized studies. J Educ Psychol 66(5):688–701

    Article  Google Scholar 

  • Sampson RJ (1995) The community. In: Wilson JQ, Petersilia J (eds) Crime. ICS Press, San Francisco, pp 193–216

    Google Scholar 

  • Sampson RJ (2008) Rethinking crime and immigration. Contexts 7(1):28–33

    Article  Google Scholar 

  • Sampson RJ, Wilson WJ (1995) Toward a theory of race, crime, and urban inequality. In: Hagan J, Peterson RD (eds) Crime and inequality. Stanford University Press, Stanford, pp 37–54

    Google Scholar 

  • Sampson RJ, Raudenbush SW, Earls F (1997) Neighborhoods and violent crime: a multilevel study of collective efficacy. Science 277:918–924

    Article  Google Scholar 

  • Sampson RJ, Morenoff JD, Gannon-Rowley T (2002) Assessing ‘Neighborhood Effects’: social processes and new directions in research. Ann Rev Sociol 28:443–473

    Article  Google Scholar 

  • Sampson RJ, Morenoff JD, Raudenbush S (2005) Social anatomy of racial and ethnic disparities in violence. Am J Public Health 95:224–232

    Article  Google Scholar 

  • Schuerman L, Kobrin S (1986) Community careers in crime. In: Reiss AJ Jr, Tonry M (eds) Crime and justice: a review of research, vol 8, communities and crime. University of Chicago Press, Chicago, pp 67–100

    Google Scholar 

  • Sellin T (1938) Culture conflict and crime. Am J Sociol 44(1):97–103

    Article  Google Scholar 

  • Shaw CR, McKay HD (1942) Juvenile delinquency and urban areas. University of Chicago Press, Chicago

    Google Scholar 

  • Stowell JI, Martinez R (2007) Displaced, dispossessed, or lawless? Examining the link between ethnicity, immigration, and violence. J Aggress Viol Behav 12:564–581

    Article  Google Scholar 

  • Stowell J, Messner SF, McGeever K, Raffalovich LE (2009) Immigration and the recent crime drop in the U. S.: a pooled, cross-sectional time-series analysis of metropolitan areas. Criminology 47:889–928

    Article  Google Scholar 

  • Sutherland E (1934) Principles of criminology. Lippincott, Philadelphia

    Google Scholar 

  • Taylor RB (1995) The impact of crime on communities. Ann Am Acad Polit Soc Sci 539:28–45

    Article  Google Scholar 

  • Thrasher F (1927) The gang. University of Chicago Press, Chicago

    Google Scholar 

  • Tonry M (1997) Ethnicity, crime, and immigration. Crime Justice 21:1–29

    Article  Google Scholar 

  • Vang ZM (2012) The limits of spatial assimilation for immigrants’ full integration: emerging evidence from African immigrants in Boston and Dublin. Ann Am Acad Polit Soc Sci 641:220–246

    Article  Google Scholar 

  • Venkatesh SA (2000) American project: the rise and fall of a modern ghetto. Harvard University Press, Cambridge

    Google Scholar 

  • Vold GB, Bernard TJ (1986) Theoretical criminology. Oxford University Press, New York

    Google Scholar 

  • Wilson WJ (1987) The truly disadvantaged. University of Chicago Press, Chicago

    Google Scholar 

  • Wilson KL, Martin WA (1982) Ethnic enclaves: a comparison of the Cuban and black economies in Miami. Am J Sociol 88:135–160

    Article  Google Scholar 

  • Wilson KL, Portes A (1980) Immigrant enclaves: an analysis of the labor market experiences of Cubans in Miami. Am J Sociol 86:295–319

    Article  Google Scholar 

  • Wirth L (1938) Urbanism as a way of life. Am J Sociol 44:1–24

    Article  Google Scholar 

  • Zhou M (1992) Chinatown: the socioeconomic potential of an urban enclave. Temple University Press, Philadelphia

    Google Scholar 

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Acknowledgments

Aaron Kofner at RAND provided GIS and other programming assistance. The authors thank Phil Cook, Jeffrey Morenoff, Jeffrey Fagan, and Anne Morrison Piehl for their helpful suggestions on an earlier draft of the manuscript. All errors and omissions are those of the authors. Support for this project was made possible in part by funding from Centers for Disease Control and Prevention: 1U49CE000773 to the RAND Corporation. The points of view are those of the authors only.

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Authors and Affiliations

  1. Department of Criminology, University of Pennsylvania, McNeil Building, Suite 483, 3718 Locust Walk, Philadelphia, PA, 19104-6286, USA

    John M. MacDonald

  2. University of California, Irvine, CA, USA

    John R. Hipp

  3. George Mason University, Fairfax, VA, USA

    Charlotte Gill

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  1. John M. MacDonald
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Correspondence to John M. MacDonald.

Additional information

Earlier drafts of this paper were presented at the 2008 Annual Workshop on Crime and Population Dynamics, MD and the 2008 American Society of Criminology meetings, St. Louis, MO.

Appendices

Appendix 1

See Table 6.

Table 6 Spatial error estimation of immigrant concentration on changes in neighborhood crime rates
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Appendix 2

See Table 7.

Table 7 Effect of foreign born latino concentration on changes in neighborhood crime rates
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MacDonald, J.M., Hipp, J.R. & Gill, C. The Effects of Immigrant Concentration on Changes in Neighborhood Crime Rates. J Quant Criminol 29, 191–215 (2013). https://doi.org/10.1007/s10940-012-9176-8

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