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Structural Covariates of Homicide Rates: Are There Any Invariances Across Time and Social Space?
This study demonstrate that the empirical literature on the structural convariates of homicide rates contains inconsistent findings across different time periods and different geographical units.… Expand
Perceived Risk versus Fear of Crime: Empirical Evidence of Conceptually Distinct Reactions in Survey Data
The conceptualization and measurement of fear of crime have received considerable attention in the research literature. Nevertheless, most sample surveys use indicators that only tap a general,… Expand
Social Inequality and Predatory Criminal Victimization: An Exposition and Test of a Formal Theory
This study systematically tests a formal theory of how certain dimensions of social stratification--income, race, and age--relate to risk of predatory criminal victimization. An opportunity theory of… Expand
UNEMPLOYMENT AND CRIME RATES IN THE POST- WORLD WAR II UNITED STATES: A THEORETICAL AND EMPIRICAL ANALYSIS
Using annual time-series data for the United States, 1946-1982, two hypotheses are tested: (1) The level of the unemployment rate in any given year will have a negative partial contemporaneous effect… Expand
Burglary Victimization, Perceptions of Crime Risk, and Routine Activities: A Multilevel Analysis Across Seattle Neighborhoods and Census Tracts
This study extends previous research on the effects of victimization in terms of fear of crime and constrained behavior by examining both micro- and macrolevel factors. In particular, we address the… Expand
AGE, CRIMINAL CAREERS, AND POPULATION HETEROGENEITY: SPECIFICATION AND ESTIMATION OF A NONPARAMETRIC, MIXED POISSON MODEL*
This article addresses three issues that are central to the criminal career debate. First, is the life course of individual offending patterns marked by distinctive periods of quiescence? Second, at… Expand
MACRO‐MICRO INTEGRATION IN THE STUDY OF VICTIMIZATION: A HIERARCHICAL LOGISTIC MODEL ANALYSIS ACROSS SEATTLE NEIGHBORHOODS*
Recent contextual analyses of victimization survey data are extended by application of hierarchical logistic model techniques. Using a multi-stage sample of 5,090 Seattle residents, we estimate… Expand
Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications
Introduction Why Cohort Analysis? Introduction The Conceptualization of Cohort Effects Distinguishing Age, Period, and Cohort Summary APC Analysis of Data from Three Common Research Designs… Expand
Age–Period–Cohort Analysis of Repeated Cross-Section Surveys: Fixed or Random Effects?
Yang and Land (2006) and Yang (forthcoming-b) developed a mixed (fixed and random) effects model for the age–period–cohort (APC) analysis of micro data sets in the form of a series of repeated… Expand
A Mixed Models Approach to the Age-Period-Cohort Analysis of Repeated Cross-Section Surveys, with an Application to Data on Trends in Verbal Test Scores
We develop a mixed (fixed and random effects) models approach to the age-period-cohort (AFC) analysis of micro data sets in the form of a series of the repeated cross-section sample surveys that are… Expand