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comparative_acc.bib
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comparative_acc.bib
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@article{rizzi_efficient_2015,
title = {Efficient {Estimation} of {Smooth} {Distributions} {From} {Coarsely} {Grouped} {Data}},
volume = {182},
issn = {0002-9262},
url = {https://doi.org/10.1093/aje/kwv020},
doi = {10.1093/aje/kwv020},
abstract = {Ungrouping binned data can be desirable for many reasons: Bins can be too coarse to allow for accurate analysis; comparisons can be hindered when different grouping approaches are used in different histograms; and the last interval is often wide and open-ended and, thus, covers a lot of information in the tail area. Age group–specific disease incidence rates and abridged life tables are examples of binned data. We propose a versatile method for ungrouping histograms that assumes that only the underlying distribution is smooth. Because of this modest assumption, the approach is suitable for most applications. The method is based on the composite link model, with a penalty added to ensure the smoothness of the target distribution. Estimates are obtained by maximizing a penalized likelihood. This maximization is performed efficiently by a version of the iteratively reweighted least-squares algorithm. Optimal values of the smoothing parameter are chosen by minimizing Akaike's Information Criterion. We demonstrate the performance of this method in a simulation study and provide several examples that illustrate the approach. Wide, open-ended intervals can be handled properly. The method can be extended to the estimation of rates when both the event counts and the exposures to risk are grouped.},
number = {2},
urldate = {2023-06-13},
journal = {American Journal of Epidemiology},
author = {Rizzi, Silvia and Gampe, Jutta and Eilers, Paul H. C.},
month = jul,
year = {2015},
pages = {138--147},
file = {Full Text PDF:C\:\\Users\\bm47\\Zotero\\storage\\XCKSXZGU\\Rizzi et al. - 2015 - Efficient Estimation of Smooth Distributions From .pdf:application/pdf;Snapshot:C\:\\Users\\bm47\\Zotero\\storage\\YNG3D328\\94562.html:text/html},
}
@article{sivertsson_participation_2021,
title = {Participation and {Frequency} in {Criminal} {Convictions} across 25 {Successive} {Birth} {Cohorts}: {Collectivity}, {Polarization}, or {Convergence}?},
volume = {38},
issn = {0741-8825},
shorttitle = {Participation and {Frequency} in {Criminal} {Convictions} across 25 {Successive} {Birth} {Cohorts}},
url = {https://doi.org/10.1080/07418825.2019.1699941},
doi = {10.1080/07418825.2019.1699941},
abstract = {Against the backdrop of an overall declining crime trend our overarching objective is to explore whether this development has concealed any degree of divergence between participation and frequency in crime. We employ Swedish longitudinal data comprising 25 complete birth cohorts born between 1960 and 1984 and followed to age 30 using convictions data. The results show a complex pattern of change, by which the crime rate partly conceals divergent processes between participation and frequency. In particular, among the males we find a consistent decrease in the size of the convicted population, whereas the frequency of crimes among convicted offenders has increased across cohorts born during the early 1970s and later. We discuss the results against both behavioral and reactional mechanisms and conclude that future crime trends research should consider a broad range of criminal career parameters which cannot be discerned using aggregate crime data.},
number = {6},
urldate = {2023-06-26},
journal = {Justice Quarterly},
author = {Sivertsson, Fredrik and Nilsson, Anders and Bäckman, Olof},
month = sep,
year = {2021},
note = {Publisher: Routledge
\_eprint: https://doi.org/10.1080/07418825.2019.1699941},
keywords = {age–crime curve, birth cohort, criminal careers, longitudinal, The crime drop},
pages = {995--1018},
file = {Full Text PDF:C\:\\Users\\bm47\\Zotero\\storage\\XQNMG4ZC\\Sivertsson et al. - 2021 - Participation and Frequency in Criminal Conviction.pdf:application/pdf},
}
@article{kim2016,
title = {Identifying Classes of Explanations for Crime Drop: Period and Cohort Effects for New York State},
author = {Kim, Jaeok and Bushway, Shawn and Tsao, Hui-Shien},
year = {2016},
month = {09},
date = {2016-09},
journal = {Journal of Quantitative Criminology},
pages = {357--375},
volume = {32},
number = {3},
doi = {10.1007/s10940-015-9274-5},
url = {http://link.springer.com/10.1007/s10940-015-9274-5},
langid = {en}
}
@article{farrington1986,
title = {Age and crime},
author = {Farrington, David P.},
year = {1986},
date = {1986},
journal = {Crime and justice},
pages = {189{\textendash}250},
volume = {7},
url = {http://www.journals.uchicago.edu/doi/abs/10.1086/449114}
}
@article{hirschi1983,
title = {Age and the explanation of crime},
author = {Hirschi, Travis and Gottfredson, Michael},
year = {1983},
date = {1983},
journal = {American journal of sociology},
pages = {552{\textendash}584},
volume = {89},
number = {3},
url = {http://www.journals.uchicago.edu/doi/abs/10.1086/227905}
}
@article{matthews2018,
title = {Rethinking one of criminology{\textquoteright}s {\textquoteleft}brute facts{\textquoteright}: The age{\textendash}crime curve and the crime drop in Scotland},
author = {Matthews, Ben and Minton, Jon},
year = {2018},
month = {05},
date = {2018-05-01},
journal = {European Journal of Criminology},
pages = {296--320},
volume = {15},
number = {3},
doi = {10.1177/1477370817731706},
url = {https://doi.org/10.1177/1477370817731706},
note = {Publisher: SAGE Publications},
langid = {en}
}
@article{sivertsson2021,
title = {Participation and Frequency in Criminal Convictions across 25 Successive Birth Cohorts: Collectivity, Polarization, or Convergence?},
author = {Sivertsson, Fredrik and Nilsson, Anders and {Bäckman}, Olof},
year = {2021},
month = {09},
date = {2021-09-19},
journal = {Justice Quarterly},
pages = {995--1018},
volume = {38},
number = {6},
doi = {10.1080/07418825.2019.1699941},
url = {https://doi.org/10.1080/07418825.2019.1699941},
note = {Publisher: Routledge
{\_}eprint: https://doi.org/10.1080/07418825.2019.1699941}
}
@article{farrell2015,
title = {Debuts and legacies: the crime drop and the role of adolescence-limited and persistent offending},
author = {Farrell, Graham and Laycock, Gloria and Tilley, Nick},
year = {2015},
month = {12},
date = {2015-12},
journal = {Crime Science},
pages = {1--10},
volume = {4},
number = {1},
doi = {10.1186/s40163-015-0028-3},
url = {https://crimesciencejournal.biomedcentral.com/articles/10.1186/s40163-015-0028-3},
note = {Number: 1
Publisher: BioMed Central},
langid = {en}
}
@book{kotzé2019,
title = {The myth of the {\textquoteleft}crime decline{\textquoteright}: Exploring change and continuity in crime and harm},
author = {{Kotzé}, Justin},
year = {2019},
date = {2019},
publisher = {Routledge}
}
@article{pascariu2018,
title = {`ungroup`: An R package for efficient estimation of smooth distributions from coarsely binned data},
author = {Pascariu, Marius D. and {Da{\'{n}}ko}, Maciej J. and {Schöley}, Jonas and Rizzi, Silvia},
year = {2018},
month = {09},
date = {2018-09-20},
journal = {Journal of Open Source Software},
pages = {937},
volume = {3},
number = {29},
doi = {10.21105/joss.00937},
url = {https://joss.theoj.org/papers/10.21105/joss.00937},
langid = {en}
}
@inbook{minton2020,
title = {The Lexis surface: a tool and workflow for better reasoning about population data},
author = {Minton, Jon},
year = {2020},
date = {2020},
publisher = {Routledge},
pages = {41{\textendash}69}
}
@article{acosta2019,
title = {APC curvature plots: Displaying nonlinear age-period-cohort patterns on Lexis plots},
author = {Acosta, Enrique and van Raalte, Alyson},
year = {2019},
month = {11},
date = {2019-11-07},
journal = {Demographic Research},
pages = {1205--1234},
volume = {S29},
number = {42},
doi = {10.4054/DemRes.2019.41.42},
url = {https://www.demographic-research.org/special/29/42/}
}
@article{jones2023,
title = {Methods for disentangling period and cohort changes in mortality risk over the twentieth century: comparing graphical and modelling approaches},
author = {Jones, Phil Mike and Minton, Jon and Bell, Andrew},
year = {2023},
month = {08},
date = {2023-08-01},
journal = {Quality & Quantity},
pages = {3219--3239},
volume = {57},
number = {4},
doi = {10.1007/s11135-022-01498-3},
url = {https://doi.org/10.1007/s11135-022-01498-3},
langid = {en}
}
@article{farrell2015a,
title = {Debuts and legacies: the crime drop and the role of adolescence-limited and persistent offending},
author = {Farrell, Graham and Laycock, Gloria and Tilley, Nick},
year = {2015},
month = {12},
date = {2015-12},
journal = {Crime Science},
pages = {1--10},
volume = {4},
number = {1},
doi = {10.1186/s40163-015-0028-3},
url = {https://crimesciencejournal.biomedcentral.com/articles/10.1186/s40163-015-0028-3},
note = {Number: 1
Publisher: BioMed Central},
langid = {en}
}
@article{rizzi2015,
title = {Efficient Estimation of Smooth Distributions From Coarsely Grouped Data},
author = {Rizzi, Silvia and Gampe, Jutta and Eilers, Paul H. C.},
year = {2015},
month = {07},
date = {2015-07-15},
journal = {American Journal of Epidemiology},
pages = {138--147},
volume = {182},
number = {2},
doi = {10.1093/aje/kwv020},
url = {https://doi.org/10.1093/aje/kwv020}
}
@article{ball2023,
title = {The great decline in adolescent risk behaviours: Unitary trend, separate trends, or cascade?},
author = {Ball, Jude and Grucza, Richard and Livingston, Michael and Bogt, Tom ter and Currie, Candace and Looze, Margaretha de},
year = {2023},
date = {2023},
journal = {Social Science & Medicine},
pages = {115616},
volume = {317},
doi = {https://doi.org/10.1016/j.socscimed.2022.115616},
url = {https://www.sciencedirect.com/science/article/pii/S0277953622009224}
}