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The reporting and underreporting of rape.


1. Introduction

The underreporting of rape represents one of the most persistent Permanent. See persistent data, persistent name and persistent object.

persistent - persistence
 patterns in law enforcement. The U.S. Department of Justice estimated that for the period 1994-1995 only about one-third of rape victims reported the crime to police, making rape the most underreported of all violent crimes. (1) From the perspective of the economic model of crime, underreporting of any crime weakens a vital link between crime and punishment Crime and Punishment (Russian: Преступление и наказание) is a novel by Russian author Fyodor Dostoevsky, that was first published in the  demonstrated in the seminal seminal /sem·i·nal/ (sem´i-n'l) pertaining to semen or to a seed.

sem·i·nal
adj.
Of, relating to, containing, or conveying semen or seed.
 models of Becker Beck´er

n. 1. (Zool.) A European fish (Pagellus centrodontus); the sea bream or braise.
 (1968) and Ehrlich Ehr·lich , Paul 1854-1915.

German bacteriologist who conducted pioneering research in chemotherapy and developed the chemical Salvarsan as a treatment of syphilis.
 (1973). Reporting by victims reinforces the probability of detection The Probability of Detection is a term used in Radar sets. The radar system must detect, with greater than or equal to 80% probability at a definied range, a one square meter radar cross section. The received and demodulated echo signal is processed by a threshold logic.  and the expected cost of illegal activity; these elements are critical to establishing a disincentive dis·in·cen·tive  
n.
Something that prevents or discourages action; a deterrent.


disincentive
Noun

something that discourages someone from behaving or acting in a particular way

Noun 1.
 for individuals to commit crime. Underreporting reduces the probability of detection because it prevents law-enforcement officials from gaining information valuable, or even essential, in the apprehension The seizure and arrest of a person who is suspected of having committed a crime.

A reasonable belief of the possibility of imminent injury or death at the hands of another that justifies a person acting in Self-Defense against the potential attack.
 of offenders. Ultimately, less apprehension means less restitution In the context of Criminal Law, state programs under which an offender is required, as a condition of his or her sentence, to repay money or donate services to the victim or society; with respect to maritime law, the restoration of articles lost by jettison, done when the  for victims. Reporting by individuals also yields restitutional benefits for society as a whole and provides valuable information about the types and frequency of crimes that actually occur, which is important for the formation of efficient crime policy.

To understand underreporting, we must understand reporting. A rape victim possesses a scarce resource: information about the crime. Thus, the decision to report, to allocate To reserve a resource such as memory or disk. See memory allocation.  that information resource, is an economic decision. A victim who desires social support or legal justice has an incentive to tell others, including police, about the crime; a victim obtains neither by remaining silent. But rape victims who come forward incur To become subject to and liable for; to have liabilities imposed by act or operation of law.

Expenses are incurred, for example, when the legal obligation to pay them arises. An individual incurs a liability when a money judgment is rendered against him or her by a court.
 real and unique costs. They lose their anonymity, risk retribution RETRIBUTION. 1. That which is given to another to recompense him for what has been received from him; as a rent for the hire of a house. 2. A salary paid to a person for his services. 3. The distribution of rewards and punishments.  by the offender offender n. an accused defendant in a criminal case or one convicted of a crime. (See: defendant, accused)  and stigmatization stigmatization /stig·ma·ti·za·tion/ (stig?mah-ti-za´shun)
1. the developing of or being identified as possessing one or more stigmata.

2. the act or process of negatively labelling or characterizing another.
 by people they know, and often must participate in an arduous ar·du·ous  
adj.
1. Demanding great effort or labor; difficult: "the arduous work of preparing a Dictionary of the English Language" Thomas Macaulay.

2.
, sometimes openly hostile, legal process. These costs become particularly egregious e·gre·gious  
adj.
Conspicuously bad or offensive. See Synonyms at flagrant.



[From Latin
 for victims of rape, given the significant psychological trauma Psychological trauma is a type of damage to the psyche that occurs as a result of a traumatic event. When that trauma leads to Post Traumatic Stress Disorder, damage can be measured in physical changes inside the brain and to brain chemistry, which affect the person's  they often experience from the crime itself.

On the other side, police investigators interested in apprehending rapists value such information but cannot obtain it without significant cost. Rape investigation, like any criminal investigation, requires an allocation The apportionment or designation of an item for a specific purpose or to a particular place.

In the law of trusts, the allocation of cash dividends earned by a stock that makes up the principal of a trust for a beneficiary usually means that the dividends will be treated as
 of scarce police resources away from other enforcement activity and, of course, carries no guarantee of successful apprehension. (2) Because a rape victim tends to be the best and often the only witness to the crime other than the offender, investigators rely heavily on victims revealing information to them. But how investigators actually respond when presented with rape cases may well influence the extent to which current or future victims regard reporting as ultimately worth the cost. In an environment where rape victims and investigators interact Interact can refer to:
  • Rotary Interact, a high school community service club.
  • InterAct Accessories
  • Interact Intranet

Fall of Interact While the Game Boy device was first released, Interact acquired the rights to sell Datel's Action Replay
, chronic underreporting of rape implies (logic) implies - (=> or a thin right arrow) A binary Boolean function and logical connective. A => B is true unless A is true and B is false. The truth table is

A B | A => B ----+------- F F | T F T | T T F | F T T | T

It is surprising at first that A =>
 that information revelation Revelation or Apocalypse (əpŏk`əlĭps), the last book of the New Testament. It was written c.A.D. 95 on Patmos Island off the coast of Asia Minor by an exile named John, in the wake of local persecution by the  by victims systematically contributes insufficient in·suf·fi·cient
adj.
1. Not sufficient.

2. Incapable of proper functioning.
 benefits, incurs excessive costs, or does both. The essential objective of this paper is to clarify (company) Clarify - A software vendor, specialising in Customer Relationship Management software. Nortel Networks sold Clarify to Amdocs in 2002.

http://amdocsclarify.com/.
 the nature of those benefits and costs and how they influence the reporting decision.

Section 2 discusses in greater detail the hypothetical Hypothetical is an adjective, meaning of or pertaining to a hypothesis. See:
  • Hypothesis
  • Hypothetical
  • Hypothetical (album)
 victim's fundamental information-allocation problem, highlighting the essential commodities that become valuable (provide utility) to a rape victim facing a reporting decision. This discussion considers the conditions under which a victim will have incentive to report and articulates testable hypotheses that lay a foundation for the subsequent empirical em·pir·i·cal
adj.
1. Relying on or derived from observation or experiment.

2. Verifiable or provable by means of observation or experiment.

3.
 analysis. The remaining sections describe that analysis, which involves estimating the determinants of reporting and the selection of specific reasons for not reporting using dichotomous di·chot·o·mous  
adj.
1. Divided or dividing into two parts or classifications.

2. Characterized by dichotomy.



di·chot
 and multinomial logit In statistics and economics, a multinomial logit model is a regression model which generalizes logistic regression to where can be more than two cases. Introduction  models and a sample of rape victims extracted from the National Crime Survey (NCS (Network Call Signaling) CableLabs version of MGCP. See MGCP/MEGACO.

NCS - Network Computing System: Apollo's RPC system used by DEC and Hewlett-Packard.The protocol has been adopted by OSF.
).

2. The Reporting Decision

The Victim's Objective

After a rape, the victim possesses critical information about the crime, some proportion of which she may decide to reveal to others. (3) In practice, a victim who reveals less than the entirety The whole, in contradistinction to a moiety or part only. When land is conveyed to Husband and Wife, they do not take by moieties, but both are seised of the entirety.  of this information might inform police of the occurrence of the rape and some details but omit o·mit  
tr.v. o·mit·ted, o·mit·ting, o·mits
1. To fail to include or mention; leave out: omit a word.

2.
a. To pass over; neglect.

b.
 

Received May 2005; accepted January January: see month.  2006.

(1) Overall, as Rennison (2001) noted, violent crimes (rape, sexual assault, burglary burglary, at common law, the breaking and entering of a dwelling house of another at night with the intent to commit a felony, whether the intent is carried out or not. , robbery robbery, in law, felonious taking of property from a person against his will by threatening or committing force or violence. The injury or threat may be directed against the person robbed, his property, or the person or property of his relative or of anyone in his , simple and aggravated assault A person is guilty of aggravated assault if he or she attempts to cause serious bodily injury to another or causes such injury purposely, knowingly, or recklessly under circumstances manifesting extreme indifference to the value of human life; or attempts to cause or purposely or ) generally exhibit rates of reporting around 40-50%. Within this classification of crimes, robbery and aggravated assault victims typically report at the highest rates (ranging 50-60% historically), and rape victims report at the lowest rates. For additional detail, see Greenfeld (1997).

(2) See Benson Benson may mean:

Places in England:
  • Benson, Oxfordshire
Places in the United States:
  • Benson, Arizona
  • Benson, Illinois
  • Benson, Minnesota
  • Benson, Nebraska
  • Benson, New York
  • Benson, North Carolina
  • Benson, Pennsylvania
, Kim Kim

orphan wanders streets of India with lama. [Br. Lit.: Kim]

See : Adventurousness
, and Rasmussen (1994) and Benson, Rasmussen, and Kim (1998) for more detailed discussions of police resource allocation resource allocation Managed care The constellation of activities and decisions which form the basis for prioritizing health care needs  and the deterrence deterrence

Military strategy whereby one power uses the threat of reprisal to preclude an attack from an adversary. The term largely refers to the basic strategy of the nuclear powers and the major alliance systems.
 of crime in the aggregate.

(3) For ease of exposition exposition or exhibition, term frequently applied to an organized public fair or display of industrial and artistic productions, designed usually to promote trade and to reflect cultural progress.  in this section, victims are described using feminine feminine /fem·i·nine/ (fem´i-nin)
1. pertaining to the female sex.

2. having qualities normally asociated with females.
 pronouns. However, the analysis applies to both male and female victims, and indeed the sample used for empirical analysis in this paper contains some male victims. A more formal, quantitative quantitative /quan·ti·ta·tive/ (kwahn´ti-ta?tiv)
1. denoting or expressing a quantity.

2. relating to the proportionate quantities or to the amount of the constituents of a compound.
 version of the analysis in this section is available from the author.

W. David Allen Al·len , Edgar 1892-1943.

American anatomist who is noted for his studies of hormones and for the discovery (1923) of estrogen.
, Department of Economics & Finance, College of Administrative Science Administrative Science may refer to:
  • the study of management
  • the journal Administrative Science Quarterly
, University of Alabama The University of Alabama (also known as Alabama, UA or colloquially as 'Bama) is a public coeducational university located in Tuscaloosa, Alabama, USA. Founded in 1831, UA is the flagship campus of the University of Alabama System.  in Huntsville Huntsville, town, Canada
Huntsville, town (1991 pop. 14,997), SE Ont., Canada, on the Muskoka River. It has lumber mills and a woodworking plant, but it is sustained mainly by its year-round tourist trade.
, Huntsville, AL 35899, USA; E-mail allend@email.uah.edu See .edu.

(networking) edu - ("education") The top-level domain for educational establishments in the USA (and some other countries). E.g. "mit.edu". The UK equivalent is "ac.uk".
.

An earlier version of this paper was presented at the Southern Economic Association annual conference, New Orleans New Orleans (ôr`lēənz –lənz, ôrlēnz`), city (2006 pop. 187,525), coextensive with Orleans parish, SE La., between the Mississippi River and Lake Pontchartrain, 107 mi (172 km) by water from the river mouth; founded , LA, November November: see month.  2002. The author acknowledges the helpful comments of Scott D. Bowdoin Bowdoin may refer to:
  • Bowdoin College
  • Town of Bowdoin, Maine
  • Bowdoin (MBTA station)
  • Bowdoin Street (Boston)
  • Bowdoin National Wildlife Refuge, Montana
People
  • James Bowdoin
  • James Bowdoin III
, Dorla A. Evans Ev·ans , Herbert McLean 1882-1971.

American anatomist who isolated four pituitary hormones and discovered vitamin E (1922).
, Christine J. Kymn KYMN is an AM station operating on 1,000 watts in Minnesota. It is the first AM stereo station in the Midwest. External links
  • Internet Archive listing for station website
  • Query the FCC's AM station database for KYMN
  • Radio Locator Information on KYMN
, John F. Schnell, Allen Wilhite, seminar participants at the University of Alabama-Huntsville, and anonymous Nameless. See anonymous post and anonymous Web surfing.  referees. Any errors are solely the responsibility of the author.
Table 1. Hospitals Using Hospitalists, by Employment Arrangement,
2003 and 2004

                                         AHA 2003        AHA 2004

                                         n       %       n      %

Hospitals using hospitalists who are    1115  100        1366   100
  Employed by a hospital or university   443   39.7       501    36.7
  Employed by a physician group          281   25.2       376    27.5
  Employed by a hospitalist-only group   311   27.9       386    28.3
  Employed by another arrangements        80    7.2       103     7.5
Hospitals surveyed                      4963   22.5 (b)   4873   28 (b)

Source: American Hospital Association (AHA) Annual Survey for fiscal
years 2003 and 2004 and authors' calculations.

(a) This category includes hospitalists employed by managed care
organizations and groups operating mixed models.

(b) This figure is the fraction of hospitals among all entities
surveyed that reported using hospitalists in the respective year.

Table 2. Hospitalist Groups, by Employment Arrangement, 2003

                                             SHM 2003

                                              n     %

Hospitalist groups                          298    100
Employed by a hospital or university        161     54.0
Employed by a physician group                53     17.8
Employed by a hospitalist-only group         71     23.8
Employed by another arrangement (a)          13      4.4

Source: 2003-2004 Survey by the Society of Hospital Medicine (SHM).

(a) This category includes hospitalists employed by managed care
organizations and groups operating mixed models.

Table 3. Equilibrium Employment Arrangements When the Physician Group
Has All the Bargaining Power (a)

                                                      Hospital

Physician Group                                  FH < BH     FH > BH

[F.sub.P] < [B.sub.P]
  [F.sub.P] < (1 - [[beta].sub.P])[B.sub.P]       (1,0)       (1,0)
  [F.sub.P] > (1 - [[beta].sub.P])[B.sub.P]     (0,1)(1,0)    (1,0)
[F.sub.P] > [B.sub.P]
  [[beta].sub.P][B.sub.P] [greater                (0,1)       (0,0)
    than or equal to] 0
  [[beta].sub.P][B.sub.P] < 0                     (0,0)       (0,0)

(a) The number pairs in parentheses represent the equilibrium employment
choices by the physician group and the hospital, respectively. For
instance, (1,0) refers to an equilibrium in which only the physician
group decides to employ hospitalists.

Table 4. Equilibrium Employment Arrangements When the Hospital Has All
the Bargaining Power (a)

                                            Hospital

                                      [F.sub.H] < [B.sub.H]

                               [F.sub.H] <             [F.sub.H] >
                           (1 - [[beta].sub.H])    (1 - [[beta].sub.H])
Physician Group                 [B.sub.H]               [B.sub.H]

[F.sub.P] < [B.sub.P]             (0,1)                (1,0)(0,1)
[F.sub.P] > [B.sub.P]             (0,1)                   (0,1)

                                Hospital

                          [F.sub.H] > [B.sub.H]

                               [F.sub.H] >
                           (1 - [[beta].sub.H])
Physician Group                 [B.sub.H]

[F.sub.P] < [B.sub.P]             (1,0)
[F.sub.P] > [B.sub.P]             (0,1)

(a) The number pairs in parentheses represent the equilibrium
employment choices by the physician group and the hospital,
respectively. For instance, (1,0) refers to an equilibrium in which
only the physician group decides to employ hospitalists. Note that
[[beta].sub.H][B.sub.H]BH < [B.sub.H] - [F.sub.H] is ruled out by
definition: [[beta].sub.H][B.sub.H] is assumed to be nonnegative.

Table 1. Descriptive Statistics and Summary of Empirical Hypotheses
(Sample Size: 1052)

                                                         Standard
                                                 Mean    Deviation

Dependent Variable
  Victim Reported Rape                           0.517     0.500

Hypothesis 1: Greater social-support availability increases
the probability of reporting

Measures of Social-Support Availability
  Male Victim                                    0.074     0.262
  Married Victim                                 0.197     0.398
  Offender Was Stranger                          0.568     0.496
  Group Quarters Ratio (x100)                    3.321     8.491
  Divorced/Separated Ratio (x100)                9.038     6.383
  Same-Domicile Ratio (x100)                    48.274    13.645
  Family Income (x1000)                          7.889     3.847
  Median Neighborhood Income (x1000)             9.738     3.143
  Number of Injuries x No Medical Attention      0.381     0.680

Hypothesis 2: Greater ancillary evidence of rape increases
the probability of reporting.

Evidentiary Determinants of Pursuit and Apprehension Probabilities
  Other Victim Present                           0.270     0.444
  Number of Injuries                             0.833     0.975
  Lone Offender                                  0.798     0.401
  Nonwhite Offender                              0.379     0.485
  Offender 21 or Older                           0.678     0.468
  Theft Occurred                                 0.137     0.344
  No Weapon Present                              0.638     0.481
Control Variables
  Urban Victim                                   0.837     0.370
  Nonwhite Victim                                0.179     0.383
  Victim Age: Teen                               0.380     0.486
  Victim Age: 20-29                              0.400     0.490
  Victim Age: 30-39                              0.140     0.347
  Victim Age: 40-49                              0.035     0.184
  Years of Education                            14.264     6.161
  Victim Employed when Rape Occurred             0.421     0.494

Table 2. Dichotomous Logit Results: The Probability of Reporting Rape
(Sample Size: 1052)

                                                            Standard
                                          Coefficient (a)    Error

Intercept                                      1.716         0.667

Measures of Social Support
  Male Victim                                 -0.143         0.064
  Married Victim                               0.046         0.045
  Offender Was Stranger                        0.092         0.036
  Group Quarters Ratio (x100)                 -0.007         0.003
  Divorced/Separated Ratio (x 100)            -0.009         0.004
  Same-Domicile Ratio (x100)                  -0.002         0.001
  Family Income (x 1000)                       0.002         0.005
  Median Neighborhood Income
    (x 1000)                                  -0.004         0.007
  Number of Injuries x No Medical
    Attention                                 -0.155         0.030
Evidentiary Determinants of Pursuit and
Apprehension Probabilities
  Other Victim Present                         0.005         0.039
  Number of Injuries                           0.143         0.023
  Lone Offender                                0.009         0.051
  Nonwhite Offender                            0.031         0.039
  Offender 21 Or Older                        -0.014         0.044
  Theft Occurred                               0.228         0.048
  No Weapon Present                           -0.068         0.037
Control Variables
  Urban Victim                                 0.071         0.051
  Nonwhite Victim                             -0.044         0.051
  Victim Age: Teen                            -0.195         0.092
  Victim Age: 20-29                           -0.195         0.091
  Victim Age: 30-39                           -0.157         0.098
  Victim Age: 40-49                           -0.228         0.110
  Years of Education                          -0.011         0.003
  Victim Employed when Rape
    Occurred                                  -0.058         0.038
  Trend                                        0.003         0.006
  Chi square ([chi square])                          171.65

                                           Significance
                                             Level (p)

Intercept                                      0.010

Measures of Social Support
  Male Victim                                  0.025
  Married Victim                               0.307
  Offender Was Stranger                        0.010
  Group Quarters Ratio (x100)                  0.009
  Divorced/Separated Ratio (x 100)             0.011
  Same-Domicile Ratio (x100)                   0.179
  Family Income (x 1000)                       0.694
  Median Neighborhood Income
    (x 1000)                                   0.596
  Number of Injuries x No Medical
    Attention                                  0.000
Evidentiary Determinants of Pursuit and
Apprehension Probabilities
  Other Victim Present                         0.898
  Number of Injuries                           0.000
  Lone Offender                                0.853
  Nonwhite Offender                            0.434
  Offender 21 Or Older                         0.756
  Theft Occurred                               0.000
  No Weapon Present                            0.065
Control Variables
  Urban Victim                                 0.163
  Nonwhite Victim                              0.385
  Victim Age: Teen                             0.033
  Victim Age: 20-29                            0.032
  Victim Age: 30-39                            0.109
  Victim Age: 40-49                            0.038
  Years of Education                           0.001
  Victim Employed when Rape
    Occurred                                   0.121
  Trend                                        0.591
  Chi square ([chi square])                    0.000

(a) The coefficient estimate is shown for the intercept; estimated
marginal effects are shown for the explanatory variables.

Table 3. Reasons Cited for Not Reporting Rape
                                                             Standard
                                                     Mean    Deviation

Category 1: Nothing Could Be Done
  (Insufficient Evidence)                           0.168     0.428
Category 2: Police Would Not Want To Be Bothered    0.086     0.296
Category 3: Attack Was Private or Personal Matter   0.253     0.466
Category 4: Fear of Reprisal                        0.144     0.160
Category 5: Told Someone Else, Not Police           0.111     0.314
Category 6: Not Important; Did Not Want To Get      0.238     0.426
  Involved; Other, Unspecified Reasons
Sample Size                                               487

Table 4. Basic Multinomial Logit Results: Reasons for Not Reporting
Rape (Sample Size: 487)

                              Category 1   Category 2   Category 3

Intercept (a)                  -0.839        2.386        1.807
                               (1.486)      (1.757)      (1.268)
Measures of Social Support
  Male Victim                   0.014       -0.036        0.141
                               (0.062)      (0.033)      (1.000)
  Married Victim                0.087       -0.038        0.021
                               (0.055)      (0.026)      (0.065)
  Offender Was                  0.177 ***    0.024       -0.189 ***
    Stranger                   (0.038)      (0.025)      (0.049)
  Group Quarters               -0.002        0.0005      -0.001
    Ratio (x100)               (0.002)      (0.001)      (0.003)
  Same-Domicile                -0.0002      -0.001        0.001
    Ratio (x100)               (0.002)      (0.001)      (0.002)
  Family Income                 0.004       -0.007 **    -0.002
    (x1000)                    (0.005)      (0.004)      (0.007)
  Number of Injuries            0.065        0.050        0.010
    x No Medical               (0.047)      (0.039)      (0.044)
    Attention

Evidentiary Determinants of Pursuit and Apprehension Probabilities

  Other Victim Present         -0.052        0.026       -0.07
                               (0.036)      (0.030)      (0.049)
  Number of Injuries           -0.071 *     -0.055        0.062 *
                               (0.043)      (0.037)      (0.037)
  Lone Offender                -0.026       -0.009        0.009
                               (0.056)      (0.040)      (0.071)
  Nonwhite Offender             0.031        0.032       -0.121 **
                               (0.041)      (0.032)      (0.056)
  Offender 21 or Older          0.0003       0.009       -0.05
                               (0.046)      (0.032)      (0.065)
  No Weapon Present             0.022       -0.011        0.044
                               (0.035)      (0.028)      (0.054)
Control Variables
  Victim Younger than           0.046       -0.080 *     -0.08
    30                         (0.040)      (0.044)      (0.063)
  Trend                        -0.012 *     -0.006        0.010
                               (0.006)      (0.005)      (0.008)
  Chi square ([chi square])   237.25 ***

                              Category 4   Category 5

Intercept (a)                   2.943 *      0.905
                               (1.584)      (1.668)
Measures of Social Support
  Male Victim                  -0.102 ***   -0.098 **
                               (0.030)      (0.023)
  Married Victim               -0.125 ***   -0.001
                               (0.026)      (0.034)
  Offender Was                 -0.129 ***    0.016
    Stranger                   (0.034)      (0.027)
  Group Quarters                0.0002       0.001
    Ratio (x100)               (0.002)      (0.001)
  Same-Domicile                -0.002 *     -0.001
    Ratio (x100)               (0.001)      (0.001)
  Family Income                 0.007 *      0.007 *
    (x1000)                    (0.004)      (0.004)
  Number of Injuries            0.017       -0.126 ***
    x No Medical               (0.024)      (0.030)
    Attention

Evidentiary Determinants of Pursuit and Apprehension Probabilities

  Other Victim Present         -0.027        0.028
                               (0.029)      (0.033)
  Number of Injuries            0.025        0.029 *
                               (0.022)      (0.017)
  Lone Offender                -0.149 **     0.031
                               (0.071)      (0.035)
  Nonwhite Offender             0.040        0.030
                               (0.039)      (0.034)
  Offender 21 or Older          0.087 ***   -0.021
                               (0.031)      (0.037)
  No Weapon Present            -0.078 *      0.015
                               (0.041)      (0.030)
Control Variables
  Victim Younger than           0.048        0.033
    30                         (0.031)      (0.031)
  Trend                        -0.004       -0.002
                               (0.005)      (0.005)
  Chi square ([chi square])

(a) The coefficient estimate is shown for the intercept; estimated
marginal effects are shown for the explanatory variables. Standard
errors appear in parentheses. The basic MNL model also included
variables not shown here because they were not significant
determinants of any of the dependent variable categories.

* Statistically significant at 10% level.

** Statistically significant at 5% level.

*** Statistically significant at 1% level.

Table 5. Refined Multinomial Logit Results: Reasons for Not Reporting
Rape (Sample Size: 487)

                                         Category 1     Category 4

Intercept (a)                             -3.276 ***      0.365
                                          (1.271)        (1.356)
Measures of Social Support
  Male Victim                              0.030         -0.087 ***
                                          (0.060)        (0.027)
  Married Victim                           0.079         -0.109 ***
                                          (0.049)        (0.023)
  Offender Was Stranger                    0.155 ***     -0.117 ***
                                          (0.034)        (0.031)
  Group Quarters Ratio (x100)             -0.002          0.00002
                                          (0.002)        (0.001)
  Same-Domicile Ratio (x100)              -0.0003        -0.002
                                          (0.001)        (0.001)
  Family Income (x1000)                    0.001          0.006
                                          (0.004)        (0.004)
  Number of Injuries x No Medical          0.062          0.020
    Attention                             (0.041)        (0.021)

Evidentiary Determinants of Pursuit and Apprehension Probabilities

  Other Victim Present                    -0.053 ***     -0.023
                                          (0.032)        (0.026)
  Number of Injuries                      -0.068 ***      0.014
                                          (0.038)        (0.018)
  Lone Offender                           -0.029         -0.134 **
                                          (0.051)        (0.065)
  Nonwhite Offender                        0.022          0.035
                                          (0.036)        (0.035)
  Offender 21 or Older                     0.001          0.078 ***
                                          (0.041)        (0.027)
  No Weapon Present                        0.021         -0.069 *
                                          (0.031)        (0.037)

Control Variables
  Victim Younger than 30                   0.044          0.048 *
                                          (0.034)        (0.026)
  Trend                                   -0.010 *       -0.003
                                          (0.006)        (0.004)
  Chi square ([chi square])                      123.78 ***

(a) The coefficient estimate is shown for the intercept; estimated
marginal effects are shown for the explanatory variables. Standard
errors appear in parentheses. The basic MNL model also included
variables not shown that were not significant determinants of any
of the dependent variable categories.

* Statistically significant at 10% level.

** Statistically significant at 5% level.

*** Statistically significant at 1% level.
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Author:Allen, W. David
Publication:Southern Economic Journal
Geographic Code:1USA
Date:Jan 1, 2007
Words:2856
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