writing sample 2 (empirical paper)
TRANSCRIPT
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Decomposing Racial Disparities in Sentencing Outcomes: Sentencing Guideline versus
Judges’ Discretion
Kenny Lo
May 9, 2016
INTRODUCTION
After the federal courts and various state criminal courts in the U.S adopted sentencing
guidelines during the 1970s and 1980s in large part to address racial disparities that had long
persisted in sentencing outcomes, researchers have set out to determine whether such efforts
have been successful. In doing so, however, many have largely focused on the racial disparity in
sentence length without specifying whether it has occurred when judges followed the guidelines
or when they departed from the guidelines. As a result, the cause of the disparity or lack thereof
has been attributed to the design of the guidelines when it could have actually been the result of
judges’ discretion. The lack of decomposition could have, in turn, misinformed policy and
resulted in its missing the mark at eliminating racial disparities in sentencing outcomes.
Using the Pennsylvania Sentencing Data in 1996 and 1998, the current study looks to
determine whether the racial disparity between Black and White offenders in minimum sentence
length occurred when judges followed the 4th edition Pennsylvania Sentencing Guideline or
when they exercised their discretion by issuing a mitigated sentence, downward departure,
aggravated sentence, or upward departure. Besides the racial disparity in minimum sentence
length, the discrepancy in the likelihood of receiving each of the four deviating sentences versus
a standard guideline sentence by race is also explored. The mean racial difference in both the
minimum sentence length and likelihood of receiving each of the four deviating sentences versus
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a standard guideline sentence is decomposed into a portion that is explained by group differences
in the predictors and a portion that is unexplained.
LITERATURE REVIEW
Insufficient Data & Methodology
The literature on the racial disparity in sentencing is one of back and forth commentary
on methodology and data. Early studies such as that by Meyers (1979) and Unnever et al. (1980)
supported the hypothesis that black defendants receive harsher sentences than white defendants
along with theories that purport to explain why. Conflict theory, for example, argues that groups
with high social standing have an incentive to inflict greater legal constraints on the socially
disadvantaged than on others. In order to engulf the limited resources in society, the powerful is
expected to institutionalize differential treatment of minorities, including that of judicial
sentencing (Schwendinger and Schwendinger, 1970). The labeling perspective provides another
perspective on the matter. It claims that the negative perception of a criminal is more likely to be
applied in court to a minority person than a white person who are otherwise equal (Goode, 1979;
Schur, 1971). Meanwhile, opponents such as Hagan (1975), Hindelang (1969), and Kleck (1981)
emphasized that the methodology and data available were insufficient to conclude racial
disparity in sentencing except for capital offenses in the American South. Failure to control for
relevant legal variables such as offense seriousness, prior record, and quality of the evidence was
especially problematic, as noted by Blumstein et al. (1983) and Garber et al. (1983).
Debate on Sentencing Guidelines
In response, Kempf et al. (1986) used sentencing data on non-capital offenses from a
non-Southern state (Pennsylvania) that included recommended controls and was able to show
significant interaction effects of race with legal variables on sentence length. The data was based
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on 1977, exactly one year before the Pennsylvania Sentencing Commission was created to
develop sentencing guidelines for judges to follow while adjudicating felonies and
misdemeanors. Aimed at eliminating unwarranted disparity and discretion in judicial sentencing,
the implementation of sentencing guidelines has sparked a debate on their effectiveness. Some
researchers like Mieth et al. (1985) and Kramer et al. (1993) agreed that sentencing guidelines
have significantly reduced racial disparities in sentencing outcomes while others like Rothman
(1995) contended the opposite position.
In particular, Gorton et al. (1999) analyzed the pre- and post-guideline effects of race on
felony sentence length in Pennsylvania in 1977, 1983, 1992, and 1993 and found that the
disparity disappeared after the guidelines were instituted. Separate ordinary least squares
regressions were run for all four years while controlling for relevant legal variables, defendant’s
gender, countywide variables, and type of case disposition. The authors concluded that
sentencing guidelines that only constrain minimum sentencing decisions, such as those in
Pennsylvania, are an effective tool in eliminating the racial disparity in sentence length.
Departures from Sentencing Guidelines
Using data from the same source as Gorton et al. (1999) in the years 1996-1998, Johnson
(2003) examined the degree to which the racial disparity in departures from sentencing
guidelines depended on the type of case disposition (i.e. non-negotiated pleas, negotiated pleas,
bench trials and jury trials). By conducting multinomial logistic regressions, the study found that
Black and Hispanic defendants are less likely to receive downward departures and more likely to
receive upward departures than white defendants and the magnitude of the disparity is
conditioned upon the mode of conviction. For example, the effect of being black on the
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likelihood of downward departure is significantly less for defendants who went to trial than for
defendants convicted through non-negotiated guilty pleas.
Unanswered Question
On the surface, the studies by Gorton et al. (1999) and Johnson (2003) seem to present
inconsistent findings; Gorton et al. (1999) concluded that the racial disparity in sentencing length
had been eliminated post-guidelines while Johnson (2003) found that it persisted in the
likelihood of receiving a downward versus upward departure from the guidelines. The discerning
factor is that the dependent variable of Gorton et al.’s study (1999) was sentencing length while
that of Johnson’s study (2003) was the likelihood of receiving a downward versus upward
departure from the guidelines, which relates to a significant problem in the sentencing literature
regarding the effectiveness of guidelines. Researchers have generally focused on racial
disparities in sentencing outcomes without establishing whether they have come from the
departures from the guidelines or the guidelines themselves. Therefore, the question of whether
the racial disparity between Black and White offenders in sentence length has been the result of
judges’ discretion or the design of the guidelines remains unanswered. Similarly, the discrepancy
in the likelihood of judges’ deviating from the guideline versus following the guideline by race is
worth examining. How much of the mean racial difference in both sentence length and likelihood
of receiving a deviating sentence versus a standard guideline sentence can be explained by group
differences in legally relevant characteristics such as offense severity? How much of it cannot be
explained? The current study provides an approach to answer such questions and contributes to
the debate of whether or not guidelines have been effective in addressing racial disparities in
sentencing outcomes.
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DATA AND DEFINITIONS
Description, Restrictions, and Adjustments
The data set used is the 1996 and 1998 Pennsylvania Sentencing Data. It was collected by
the Pennsylvania Commission on Sentencing, a legislative agency of the Commonwealth of
Pennsylvania that develops sentencing guidelines for judges in sentencing felony and
misdemeanor offenses. The 1996 and 1998 Pennsylvania Sentencing Data reflects all the
sentences on felonies and misdemeanors that were reported on Guideline Sentence Forms by
judges to the Commission during the calendar year 1996 and 1998. Part 1, Records Data,
provides information on each offender that includes demographic characteristics such as sex and
race, prior offense history, current supervision status, and type of disposition. Part 2, Offense
Data, provides information on each offense that include the statutory citation for the offense, the
Offense Gravity Score assigned by the Commission, the offender's Prior Record Score, and the
sentence given. The data set is restricted to all offenses committed on or after August 12, 1994,
when the 4th edition guidelines became effective, up until the time that the 5th guidelines
became effective for all offenses committed on or after June 13, 1997. Offenders who were
issued life and death sentences or less than 7 years old at the time of offense are excluded.
Definitions of Offense Gravity Score, Prior Record Score, Standard Guideline Sentence,
Mitigated Sentence, and Aggravated Sentence
All offenses are classified according to the offense gravity score, which measures the
severity of the offense committed ranging from 1 to 13 for each offense categorized in
Pennsylvania statue, and the prior record score, which measures the extent of the offender's
criminal record ranging from 0 to 8 based on the type and number of prior convictions and prior
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juvenile adjudications.1 One of three sentences is recommended based on each combination of
the offense gravity score and prior record score: 1) the standard guideline sentence, when the
judge follows the guideline to issue a sentence that is determined by the two scores, 2) mitigated
sentence, when the judge determines there are mitigating factors present and subtracts a number
of months from the standard guideline sentence that is recommended by the Pennsylvania
Sentencing Commission, and 3) aggravated sentence, when the judge determines there are
aggravating factors present and adds a number of months to the standard guideline sentence that
is recommended by the Pennsylvania Sentencing Commission.2
Definitions of Downward Departure and Upward Departure
In addition, the judge has the discretionary power to issue a downward departure or
upward departure from the standard guideline sentence. A downward departure is defined as
when judges exercise broad discretion to issue a sentence below the standard guideline sentence
and mitigating sentence. An upward departure is defined as when judges exercise broad
discretion to issue a sentence above the standard guideline sentence and aggravating sentence. A
written statement of the reasons for a downward or upward departure must be provided and both
the defendant and the State have the right to appeal.3
Definition of Minimum Sentence Length
Minimum sentence length is defined as the minimum length of incarceration in months,
which is generally the amount of time an offender serves before being considered for parole.
Although each sentence in Pennsylvania is stated as a range between a minimum sentence and a
1 204 Pa. Code § 303.15 and 303.4 2 204 Pa. Code § 303.13 3 204 Pa. Code § 303.1(a)
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maximum sentence in months, the standard guideline sentence only applies to the minimum
sentence.4 Therefore, the measure of sentence length used is that of the minimum sentence for
meaningful comparison of the standard guideline sentence to downward departure, mitigated
sentence, aggravated sentence, and upward departure.
QUESTIONS AND DESCRIPTIVE STATISTICS
Regarding the first question of whether the racial disparity between White and Black
offenders in minimum sentence length occurred when judges followed the 4th edition guideline
or when they exercised their discretion, table 1 provides summary statistics of the minimum
sentence length in months given a downward departure, mitigated sentence, standard guideline
sentence, aggravated sentence, and upward departure by race. It shows that the average and
median minimum sentence length for Black offenders are equal or higher than that of White
offenders across the board, which seems to suggest that racial disparities in minimum sentence
length existed both when judges followed the 4th edition guideline and when they decided to
issue a deviating sentence.
As for the second question of whether there are also racial disparities in the likelihood of
receiving a downward departure, mitigated sentence, aggravated sentence, or upward departure
versus a standard guideline sentence, table 2 offers the absolute and relative frequencies of each
of the five sentencing options at the judges’ disposal by race. Approximately 66.5% of standard
guideline sentences were issued to White offenders while around 33.5% were issued to Black
offenders, close to the racial makeup of the total sentences at 63% and 37%, respectively. In
contrast, 45% of downward departures were issued to White offenders versus 55% to Black
offenders, 45% of mitigated sentences were issued to White offenders versus 55% to Black
4 204 Pa. Code § 303.2, 303.9, and 303.10
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offenders, 69% of aggravated sentences were issued to White offenders versus 31% to Black
offenders, and 60% of upward departures were issued to White offenders versus 40% to Black
offenders. Such variations seem to suggest that Black offenders were more likely to receive a
downward departure, mitigated sentence, and upward departure and less likely to receive an
aggravated sentence than their White counterparts versus a standard guideline sentence.
In order to answer the follow-up questions of how much of the mean racial difference in
both minimum sentence length and likelihood of receiving a deviating sentence versus a standard
guideline sentence can be explained by group differences in characteristics and how much of it
cannot be explained by the same differences, the current study uses two economic models that
are discussed hereafter.
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White Black White Black White Black White Black White Black
Mean 9.64 11.20 9.21 10.36 11.09 12.61 4.74 8.21 18.87 27.99
Median 8.00 11.50 6.00 7.00 6.00 8.00 2.10 3.00 12.00 12.00
Minimum 0.03 0.01 0.00 0.00 0.00 0.00 0.03 0.03 0.16 0.53
Maximum 96.00 120.00 72.30 96.00 120.00 120.00 90.00 120.00 300.00 300.00
Standard Deviation 9.45 9.56 9.58 10.94 14.89 15.79 8.46 12.71 23.22 30.43
Observations 713 981 1,178 1,360 9,243 6,355 5,082 2,416 4,580 3,366
Table 1. Summary Statistics of Minimum Sentence Length in Months Given Each of the Five Sentencing Options by Race
—Source: Pennsylvania Sentencing Data in 1996 and 1998 restricted to all offenses committed on or after August 12, 1994, when the 4th
edition guidelines became effective, up until the time that the 5th guidelines became effective for all offenses committed on or after June 13,
1997. Note: Although each sentence in Pennsylvania is stated as a range between a minimum sentence and a maximum sentence in months, the
standard guideline sentence only applies to the minimum sentence. Therefore, the measure of sentence length used is that of the minimum
sentence for meaningful comparison of the standard guideline sentence to each of the four deviating sentences.
Standard GuidlineMitigated Sentence Aggravated SentenceDownward Departure Upward Departure
Downward Departure Mitigated Sentence Standard Guidline Aggravated Sentence Upward Departure Total
White 1,972 2,511 40,953 5,663 5,349 46,099
3.49 4.45 72.55 10.03 9.48 100.00
45.34 44.99 66.47 68.96 59.87 62.98
Black 2,377 3,070 20,661 2,549 3,585 37,095
737.00 9.52 64.08 7.91 11.12 100.00
54.66 55.01 33.53 31.04 40.13 37.02
Total 4,349 5,581 61,614 8,212 8,934 73,194
4.90 6.29 69.47 9.26 10.07 100.00
100.00 100.00 100.00 100.00 100.00 100.00
Table 2. Absolute and Relative Frequencies of Each of the Five Sentencing Options by Race
—Source: Pennsylvania Sentencing Data in 1996 and 1998 restricted to all offenses committed on or after August 12, 1994, when the 4th
edition guidelines became effective, up until the time that the 5th guidelines became effective for all offenses committed on or after June 13,
1997. Key: Reading from top to bottom are frequency, row percentage, column percentage.
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ECONOMIC MODELS
Ordinary Least Squares and Blinder-Oaxaca Decomposition (Minimum Sentence length)
Following Blinder (1973), Oaxaca (1973), and Jann (2008), ordinary least squares
regressions are estimated based on the linear model:
𝑌ℓ = 𝑋ℓ′𝛽ℓ + ℰℓ, 𝐸(ℰℓ) = 0, ℓ𝜖 (𝐴, 𝐵)
where for group A (White offenders) and group B (Black offenders), Y is the minimum sentence
length, X is a vector that includes the predictors of Y such as prior record score, 𝛽 is a constant
that includes the slope parameters and the intercept, and ℇ is the error term of which the expected
value is assumed to be 0.
The mean difference in minimum sentence length between White and Black offenders is
the difference in the group-specific means predicted by the linear model:
𝑅 = 𝐸(𝑌𝐴) − 𝐸(𝑌𝐵) = 𝐸(𝑋𝐴)′𝛽𝐴 − 𝐸(𝑋𝐵)′𝛽𝐵
where R is the mean racial disparity in minimum sentence length and E(Y) is the expected value
of minimum sentence length, which is reduced as follows:
𝐸(𝑌ℓ) = 𝐸(𝑋ℓ′𝛽ℓ + ℰℓ) = 𝐸(𝑋ℓ′𝛽ℓ) + 𝐸(ℰℓ) = 𝐸(𝑋ℓ)′𝛽ℓ
as 𝐸(𝛽ℓ) = 𝛽ℓ and 𝐸(ℰℓ) = 0 are assumed.
If we let 𝛽* be a coefficient vector that assumes no discrimination, then R is decomposed
as follows:
𝑅 = {𝐸(𝑋𝐴) − 𝐸(𝑋𝐵)}′𝛽∗ + {𝐸(𝑋𝐴)′(𝛽𝐴 − 𝛽∗) + 𝐸(𝑋𝐵)′(𝛽
∗ − 𝛽𝐵)}
where the first portion,
{𝐸(𝑋𝐴) − 𝐸(𝑋𝐵)}′𝛽∗
is the amount of differential that is explained by group differences in the predictors while the
second portion,
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{𝐸(𝑋𝐴)′(𝛽𝐴 − 𝛽∗) + 𝐸(𝑋𝐵)′(𝛽∗ − 𝛽𝐵)}
is the amount of differential that is not explained by the same differences. If we assume that there
was only discrimination against Black offenders and no positive discrimination of White
offenders, then 𝛽* is estimated with 𝛽𝐴 as follows:
�̂� = (�̅�𝐴 − �̅�𝐵)′�̂�𝐴 + �̅�𝐵′(�̂�𝐴 − �̂�𝐵)
On the other hand, if we assume that there was only positive discrimination of White offenders
and no discrimination against Black offenders, then 𝛽* is estimated with 𝛽𝐵 as follows:
�̂� = (�̅�𝐴 − �̅�𝐵)′�̂�𝐵 + �̅�𝐴′(�̂�𝐴 − �̂�𝐵)
Both model specifications are performed to decompose the mean racial disparity in minimum
sentence length given a downward departure, mitigated sentence, standard guideline sentence,
aggravated sentence, and upward departure.
Probit Decomposition (Likelihood of Receiving a Deviating Sentence)
Following Yun (2005), the binary variable of receiving a downward departure, mitigating
sentence, aggravated sentence, or upward departure versus a standard guideline sentence is
modeled as a function of a linear combination of independent variables, but the function itself
may be modeled nonlinearly as follows:
Y = F(Xβ)
where Y is a binary variable of receiving each of the four deviating sentence versus a standard
guideline sentence, X is a vector that includes the predictors of Y, and 𝛽 is a vector that includes
the coefficients.
The mean difference between Black and White offenders in Y is decomposed as follows:
�̅�𝐴 − �̅�𝐵 = [𝐹(𝑋𝐴𝛽𝐴)̅̅ ̅̅ ̅̅ ̅̅ ̅̅ ̅ − 𝐹(𝑋𝐵𝛽𝐴)̅̅ ̅̅ ̅̅ ̅̅ ̅̅ ̅] + [𝐹(𝑋𝐵𝛽𝐴)̅̅ ̅̅ ̅̅ ̅̅ ̅̅ ̅ − 𝐹(𝑋𝐵𝛽𝐵)̅̅ ̅̅ ̅̅ ̅̅ ̅̅ ̅]
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Then, the mean values and first order Taylor expansion are used to weight the contribution of
each variable to the explained and unexplained portion of the racial disparity
�̅�𝐴 − �̅�𝐵 = [𝐹(�̅�𝐴𝛽𝐴) − 𝐹(�̅�𝐵𝛽𝐴)] + [𝐹(�̅�𝐵𝛽𝐴) − 𝐹(�̅�𝐵𝛽𝐵)] + 𝑅𝑀
= [(�̅�𝐴 − �̅�𝐵)′𝛽𝐴]′𝑓(�̅�𝐴𝛽𝐴) + �̅�𝐵′(𝛽𝐴 − 𝛽𝐵)′𝑓(�̅�𝐵𝛽𝐵) + 𝑅𝑀 + 𝑅𝑇
where
𝑅𝑀 = [𝐹(𝑋𝐴𝛽𝐴)̅̅ ̅̅ ̅̅ ̅̅ ̅̅ ̅ − 𝐹(𝑋𝐵𝛽𝐴)̅̅ ̅̅ ̅̅ ̅̅ ̅̅ ̅] + [𝐹(𝑋𝐵𝛽𝐴)̅̅ ̅̅ ̅̅ ̅̅ ̅̅ ̅ − 𝐹(𝑋𝐵𝛽𝐵)̅̅ ̅̅ ̅̅ ̅̅ ̅̅ ̅]
− [𝐹(�̅�𝐴𝛽𝐴) − 𝐹(�̅�𝐵𝛽𝐴)] − [𝐹(�̅�𝐵𝛽𝐴) − 𝐹(�̅�𝐵𝛽𝐵)]
and
𝑅𝑇 = [𝐹(�̅�𝐴𝛽𝐴) − 𝐹(�̅�𝐵𝛽𝐴)] + [𝐹(�̅�𝐵𝛽𝐴) − 𝐹(�̅�𝐵𝛽𝐵)]
− [(�̅�𝐴 − �̅�𝐵)′𝛽𝐴]′𝑓(�̅�𝐴𝛽𝐴) − �̅�𝐵′(𝛽𝐴 − 𝛽𝐵)′𝑓(�̅�𝐵𝛽𝐵)
The scalars 𝑅𝑀 and 𝑅𝑇 are approximation residuals from using the mean values of the function
and first order Taylor expansion. Now the average racial difference in Y is weighted as follows:
�̅�𝐴 − �̅�𝐵 =∑𝑊Δ𝑋𝑖
𝑖=𝐾
𝑖=1
[𝐹(𝑋𝐴𝛽𝐴)̅̅ ̅̅ ̅̅ ̅̅ ̅̅ ̅ − 𝐹(𝑋𝐵𝛽𝐴)̅̅ ̅̅ ̅̅ ̅̅ ̅̅ ̅] +∑𝑊Δ𝛽𝑖
𝑖=𝐾
𝑖=1
[𝐹(𝑋𝐵𝛽𝐴)̅̅ ̅̅ ̅̅ ̅̅ ̅̅ ̅ − 𝐹(𝑋𝐵𝛽𝐵)̅̅ ̅̅ ̅̅ ̅̅ ̅̅ ̅]
where
𝑊Δ𝑋𝑖 =
(�̅�A𝑖 − �̅�B
𝑖 )′𝛽𝐴𝑖 ′𝑓(�̅�𝐴𝛽𝐴)
(�̅�𝐴 − �̅�𝐵)′𝛽𝐴′𝑓(�̅�𝐴𝛽𝐴)=(�̅�A
𝑖 − �̅�B𝑖 )′𝛽𝐴
𝑖
(�̅�𝐴 − �̅�𝐵)′𝛽𝐴
and
𝑊Δ𝛽𝑖 =
�̅�B𝑖 ′(𝛽𝐴
𝑖 − ′𝛽𝐵𝑖 )′𝑓(�̅�𝐵𝛽𝐵)
�̅�𝐵′(𝛽𝐴 − 𝛽𝐵)′𝑓(�̅�𝐵𝛽𝐵)=�̅�B𝑖 ′(𝛽𝐴
𝑖 − ′𝛽𝐵𝑖 )
�̅�𝐵′(𝛽𝐴 − 𝛽𝐵)
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Assuming prob(Y= 1) = Φ(X𝛽), where Φ is a standard normal cumulative distribution
function, the probit decomposition becomes
�̅�𝐴 − �̅�𝐵 =∑𝑊Δ𝑋𝑖
𝑖=𝐾
𝑖=1
[𝜙(𝑋𝐴𝛽𝐴)̅̅ ̅̅ ̅̅ ̅̅ ̅̅ ̅ − 𝜙(𝑋𝐵𝛽𝐴)̅̅ ̅̅ ̅̅ ̅̅ ̅̅ ̅] +∑𝑊Δ𝛽𝑖
𝑖=𝐾
𝑖=1
[𝜙(𝑋𝐵𝛽𝐴)̅̅ ̅̅ ̅̅ ̅̅ ̅̅ ̅ − 𝜙(𝑋𝐵𝛽𝐵)̅̅ ̅̅ ̅̅ ̅̅ ̅̅ ̅]
which is performed to decompose the mean racial disparity in the log likelihood of receiving a
downward departure, mitigated sentence, aggravated sentence, or upward departure versus a
standard guideline sentence.
Variable Name and Description for Both Decompositions
Table 3 provides the variable name and description for each of the variables used in both
the linear decomposition of the mean racial disparity in minimum sentence length and the probit
decomposition of the likelihood of receiving each of the four deviating sentence versus a
standard guideline sentence.
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Name Description
Dependent Variables
Minimum Sentence Length Minimum length of incarceration in months, which is generally the amount of time an offender serves before being
considered for parole. Although each sentence in Pennsylvania is stated as a range between a minimum sentence and
a maximum sentence in months, the standard guideline sentence only applies to the minimum sentence. Therefore, the
measure of sentence length used is that of the minimum sentence for meaningful comparison of the standard guideline
sentence to each of the four deviating sentences defined below.
Downward Departure 1 if an offender was issued a downward departure, 0 otherwise. Downward departure is defined as when judges
exercise broad discretion to issue a sentence below the standard guideline sentence and mitigating sentence. A
written statement of the reasons for downward departure must be provided and both the defendant and the State have
the right to appeal.
Mitigating Sentence 1 if an offender was issued a mitigating sentence, 0 otherwise. Mitigating sentence is defined as when judges
determine there are mitigating factors present and subtracts a number of months from the standard guideline sentence
that is recommended by the Pennsylvania Sentencing Commission.
Standard Guideline Sentence Standard Guideline Sentence is defined as when judges follow the guideline to issue a sentence that is determined by
the offense gravity score, which measures the severity of the offense committed, and the prior record score, which
measures the extant of the offender’s criminal record.
Aggravating Sentence 1 if an offender was issued an aggravating sentence, 0 otherwise. Aggravating sentence is defined as when judges
determine there are aggravating factors present and adds a number of months to the standard guideline sentence that
is recommended by the Pennsylvania Sentencing Commission.
Upward Departure 1 if an offender was issued a upward departure, 0 otherwise. Upward departure is defined as when judges exercise
broad discretion to issue a sentence above the standard guideline sentence and aggravating sentence. A written
statement of the reasons for upward departure must be provided and both the defendant and the State have the right
to appeal.
Independent Variables
A. Main Determinants of Sentencing
Offense Gravity Score Measure of the offense severity ranging from 1 to 13 for each offense categorized in Pennsylvania statue
Prior Record Score Measure of the extent of the offender's criminal record ranging from 0 to 8 based on the type and number of prior
convictions and prior juvenile adjudications
B. Offense Characteristics
Weapon Enhancement 1 if an offender possessed a deadly weapon while committing the offense, 0 otherwise
School Enhancement 1 if an offender trafficked in drugs within 1000 feet of a school, 0 otherwise
Youth Enhancement 1 if an offender invovled youth in drug trafficking, 0 otherwise
Negotiated Guilty Plea 1 if an offender entered into a negotiated guilty plea, 0 otherwise
Non-negotiated Guilty Plea 1 if an offender entered into a non-negotiated guilty plea, 0 otherwise
No Contest 1 if an offender pleaded no contest, 0 otherwise
Bench Trial 1 if an offender went through a bench trial, 0 otherwise
Jury Trial 1 if an offender went through a jury trial, 0 otherwise
Other Disposition 1 if an offender went through a disposition that is not a negotiated/non-negotiated guilty plea, no contest, or
bench/jury trial, 0 otherwise
Presentence Investigation 1 if a presentence investigation was conducted, 0 otherwise
Warrants or Detainers 1 if warrants or detainers were issued, 0 otherwise
Drug and Alcohol Assessment 1 if an offender was dependent, 0 otherwise
C. Offender Characteristics
Sex 1 if an offender was male, 0 otherwise
Age Offender's age at the time of offense
Not Supervised 1 if an offender's supervision status was not supervised, 0 otherwise
State Prison 1 if an offender's supervision status was state prison, 0 otherwise
County Jail 1 if an offender's supervision status was county jail, 0 otherwise
IP Program 1 if an offender's supervision status was intermediate punishment program, 0 otherwise
Probation 1 if an offender's supervision status was probation, 0 otherwise
Parole 1 if an offender's supervision status was parole, 0 otherwise
Federal Incarceration 1 if an offender's supervision status was federal incarceration, 0 otherwise
Other Supervision Status 1 if an offender's supervision status was not state prison, county jail, IP program, probation, parole, federal
incarceration, or not supervised, 0 otherwise
D. County Fixed Effects
County 1 if a sentence was issued in a specific county, 0 otherwise for each of the 67 counties in Pennsylvania
Table 3. Variable Name and Discription
—Source: Pennsylvania Sentencing Data in 1996 and 1998 restricted to all offenses committed on or after August 12, 1994, when the 4th edition guidelines
became effective, up until the time that the 5th guidelines became effective for all offenses committed on or after June 13, 1997.
15
FINDINGS AND ANALYSIS
Table 4 displays the findings from the Blinder-Oaxaca linear decomposition of the
disparity in minimum sentence length between White and Black offenders given a downward
departure, mitigated sentence, standard guideline sentence, aggravated sentence, and upward
departure. Although the average minimum sentence length for Black offenders given a
downward departure was longer than that of White offenders and strongly significant, almost all
the disparity is explained by group differences in predictors while the unexplained portion is not
significant. 5 Therefore, the results suggests that judges did not discriminate against Black
offenders when they issued a downward departure. However, the average minimum sentence
length for Black offenders given a mitigated sentence was longer than that of White offenders
and weakly significant, and around half of the disparity that is strongly significant cannot be
explained by predictors while the explained portion is not significant. Hence, Black offenders
would be expected to receive a shorter sentence than White offenders if they had the White
offenders’ coefficients/treatment given a mitigated sentence, which suggests that judges
potentially discriminated against Black offenders when they issued a mitigated sentence.6 The
average minimum sentence length for Black offenders given a standard guideline sentence was
longer than that of White offenders and strongly significant, but group differences in offense
gravity score and prior record score, the only two predictors of the minimum sentence length
given a standard guideline sentence, explain more than 100% of the mean racial differential at
5 These results assume that there was only positive discrimination of White offenders and no
discrimination against Black offenders (𝛽* = �̂�𝐵). If we assume that there was only discrimination against
Black offenders and no positive discrimination of White offenders (𝛽* = �̂�𝐴), both the explained and
unexplained portions are not significant. 6 These results again assume 𝛽* = �̂�𝐵. If we assume 𝛽* = �̂�𝐴, both the explained and unexplained
portions are not significant.
16
1% significance while the unexplained portion is also strongly significant. In other words, Black
offenders would be expected to receive a shorter minimum sentence length than White offenders
if they had White offenders’ offense gravity scores and prior record scores and a longer sentence
if they had the White offenders’ coefficients/treatment. Surprisingly, the findings are consistent
across both model specifications used and suggest potential discrimination against White
offenders when judges followed the 4th edition guideline. Even though the average minimum
sentence length for Black offenders given an aggravated sentence was longer than that of White
offenders and strongly significant, almost all the disparity is explained by group differences in
predictors while the unexplained portion is not significant. The results are again consistent across
both model specifications used and suggest that judges did not discriminate against Black
offenders when they issued an aggravated sentence. Lastly, the average minimum sentence
length for Black offenders given an upward departure was longer than that of White offenders
and strongly significant, but the findings are substantially different when one model is specified
over the other. If we assume that there was only discrimination against Black offenders and no
positive discrimination of White offenders (𝛽* = �̂�𝐴), group differences in predictors explain
more than 100% of the mean racial differential at 1% significance while the unexplained portion
is not significant. This means that Black offenders would be expected to receive a shorter
minimum sentence length than White offenders if they had White offenders’ predictors,
suggesting that judges potentially discriminated against White offenders when they issued an
upward departure. If we assume that there was only positive discrimination of White offenders
and no discrimination against Black offenders (𝛽* = �̂�𝐵), however, group differences explain
around 70% of the mean racial differential at 1% significance while the unexplained portion is
now weakly significant. The findings now suggest that judges potentially discriminated against
17
Black offenders when they issued a mitigated sentence. Because of such inconsistency across
model specifications, evidence of potential discrimination against Black or White offenders is
ambiguous.
Table 5 displays the results from the probit decomposition of the disparity in the
likelihood of receiving a downward departure, mitigated sentence, aggravated sentence, or
upward departure versus a standard guideline sentence between White and Black offenders. The
average likelihood of receiving a downward departure versus a standard guideline sentence for
Black offenders was higher than that of White offenders and strongly significant, all the disparity
is explained by group differences in predictors while the unexplained portion is not significant.
The findings are consistent across both model specifications and suggest that judges did not
discriminate against White offenders. The average likelihood of receiving a mitigated sentence
versus a standard guideline sentence for Black offenders was higher than that of White offenders
and strongly significant, and both the explained and unexplained portions are strongly
significant. Therefore, Black offenders would be more likely to receive a mitigated sentence than
White offenders if they had White offenders’ predictors and less likely to receive a mitigated
sentence if they had White offenders’ coefficients/treatment. The results are consistent across
model specifications and suggest that judges potentially discriminated against White offenders.
The average likelihood of receiving an aggravated sentence versus a standard guideline sentence
for Black offenders was lower than that of White offenders but not statistically significant.
However, group differences in predictors explain more than 100% of the mean racial differential
at 1% significance while the unexplained portion is also strongly significant. Hence, Black
offenders would be more likely to receive an aggravated sentence than White offenders if they
had White offenders’ predictors and less likely to receive an aggravated sentence if they had
18
White offenders’ coefficients/treatment. The findings are consistent across both model
specifications used and suggest potential discrimination against Black offenders. The average
likelihood of receiving an upward departure versus a standard guideline sentence for Black
offenders was higher than that of White offenders but not statistically significant, and the portion
that is explained by group differences in predictors is not significant, while the portion that
cannot be explained by the same differences is strongly significant. Therefore, Black offenders
would be less likely to receive an upward departure than White offenders if they had White
offenders’ predictors. The results are consistent across model specifications and suggest that
judges potentially discriminated against Black offenders.
19
White 9.62 9.62 9.19 9.19 11.09 11.09 4.73 4.73 18.63 18.63
(0.45) (0.45) (0.43) (0.43) (0.16) (0.16) (0.31) (0.31) (1.18) (1.18)
Black 11.12 11.12 10.32 10.32 12.62 12.62 7.85 7.85 27.87 27.87
(0.61) (0.61) (0.86) (0.86) (0.20) (0.20) (1.13) (1.13) (3.25) (3.25)
Difference -1.50 -1.50 -1.12 -1.12 -1.54 -1.54 -3.12 -3.12 -9.24 -9.24
(0.51) (0.51) (0.65) (0.65) (0.25) (0.25) (1.02) (1.02) (2.98) (2.98)
Explained -0.70 -1.20 -0.60 -0.56 -3.20 -2.85 -2.99 -2.99 -10.54 -6.33
(0.44) (0.46) (0.73) (0.66) (0.21) (0.20) (1.05) (0.94) (2.82) (1.52)
Unexplained -0.89 -0.29 -0.53 -0.56 1.67 1.31 -0.14 -0.14 1.30 -2.91
(0.51) (0.69) (0.37) (0.22) (0.15) (0.15) (0.29) (0.20) (0.99) (1.77)
Offense Gravity Score -0.51 -0.49 1.36 1.32 -1.51 -1.45 -2.73 -2.54 -6.08 -5.60
(0.43) (0.41) (0.82) (0.80) (0.23) (0.22) (0.93) (0.86) (1.88) (1.75)
Prior Record Score -0.19 -0.20 -1.95 -1.87 -1.69 -1.40 -0.38 -0.33 -0.19 -0.19
(0.30) (0.53) (0.49) (0.47) (0.13) (0.11) (0.10) (0.09) (0.18) (0.18)
Offense Characteristics
Offender Characteristics
County Fixed Effects
Observations
Table 4. Blinder-Oaxaca Decomposition of Minimum Sentence Length
Mitigated Sentence Aggravated SentenceDownward Departure Upward DepartureStandard Guideline
—Note: The numbers presented are coefficients and the numbers in paranthesis are standard errors; coefficients with ***, **, and * are
statistically significant at 10%, 5%, and 1%, respectively; standard errors are adjusted for 67 clusters in county when county fixed effects were
included; offense characterisitcs, offender characteristics, and county fixed effects are listed and described in Table 3.
15,5727,329 7,2241,567 7,329
∗∗∗
∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗ ∗∗∗
∗∗∗ ∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗
∗
∗
∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
𝐵 𝐴 �̂�𝐵 𝐵 𝐵 𝐵 𝐵 𝐵 𝐵 𝐵 𝐵𝐵 𝐴 �̂�𝐴 𝐵 𝐴 �̂�𝐴
20
White 0.04 0.04 0.05 0.05 0.12 0.12 0.11 0.11
(0.00) (0.00) (0.01) (0.01) (0.02) (0.02) (0.02) (0.02)
Black 0.10 0.10 0.12 0.12 0.11 0.11 0.15 0.15
(0.01) (0.01) (0.01) (0.01) (0.02) (0.02) (0.03) (0.03)
Difference -0.05 -0.05 -0.07 -0.07 0.01 0.01 -0.03 -0.03
(0.01) (0.01) (0.01) (0.01) (0.01) (0.01) (0.02) (0.02)
Explained -0.05 -0.05 -0.05 -0.06 0.06 0.03 -0.01 -0.01
(0.01) (0.01) (0.01) (0.01) (0.01) (0.01) (0.02) (0.02)
Unexplained -0.003 0.01 -0.02 -0.01 -0.05 -0.02 -0.02 -0.02
(0.00) (0.01) (0.00) (0.01) (0.01) (0.00) (0.01) (0.01)
Offense Gravity Score -0.02 -0.02 -0.02 -0.02 0.00 0.01 -0.01 -0.004
(0.01) (0.01) (0.01) (0.01) (0.00) (0.00) (0.00) (0.00)
Prior Record Score -0.02 -0.02 -0.01 -0.01 0.01 0.00 0.01 0.004
(0.00) (0.00) (0.00) (0.00) (0.00) (0.00) (0.01) (0.00)
Offense Characteristics
Offender Characteristics
County Fixed Effects
Observations
—Note: The numbers presented are coefficients and the numbers in paranthesis are standard errors; coefficients with ***, **, and * are
statistically significant at 10%, 5%, and 1%, respectively; standard errors are adjusted for 67 clusters in county when county fixed effects
were included; offense characterisitcs, offender characteristics, and county fixed effects are listed and described in Table 3.
63,560 66,50061,767 66,843
Table 5. Blinder-Oaxaca Decomposition of the Likelihood of Receiving a Deviating Sentence Versus a Standard Guideline Sentence
Mitigated Sentence Aggravated SentenceDownward Departure Upward Departure
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗∗
∗∗
∗∗ ∗∗∗ ∗∗∗
∗
∗∗∗
∗∗∗
∗∗∗ ∗∗∗
∗∗∗
∗∗∗
∗∗
∗∗∗
∗∗∗
𝐵𝐴 𝐵 𝐵�̂�𝐴 𝐵 𝐵 𝐵 𝐴 𝐵 𝐵 𝐵 𝐴 𝐵 𝐵
21
IMPLICATIONS AND CONCLUSION
The first question the current study seeks to answer is whether the racial disparity
between White and Black offenders in minimum sentence length occurred when judges followed
the 4th edition guideline or when they exercised their discretion. Although the average minimum
sentence length for Black offenders given a standard guideline sentence was longer than that of
White offenders and statistically significant at 1%, Black offenders would be expected to receive
a shorter minimum sentence length than the mean racial disparity if they had White offenders’
offense gravity scores and prior record scores and a longer sentence than the mean racial
disparity if they had the White offenders’ coefficients/treatment, suggesting potential
discrimination against White offenders in the design of the 4th edition guideline. However, there
is evidence that Black offenders would be expected to receive a shorter sentence than the mean
racial disparity if they had the White offenders’ coefficients/treatment given a mitigated
sentence, suggesting potential discrimination against Black offenders. Almost all the average
racial disparity in minimum sentence length given an aggravated sentence is explained by group
differences in predictors while the unexplained portion is not significant, as is the story given a
downward departure. There is ambiguous evidence of discrimination against White offenders or
Black offenders given an upward departure because it depends on which model is specified.
The second question the current study seeks to answer is whether there are also racial
disparities in the likelihood of receiving a mitigated sentence, aggravated sentence, downward
departure, or upward departure versus a standard guideline sentence. All the average racial
disparity in the likelihood of receiving a downward departure versus a standard guideline
sentence is explained by group differences in predictors while the unexplained portion is not
significant. However, there is evidence of potential discrimination against White offenders in the
22
likelihood of receiving a mitigated sentence versus a standard guideline sentence, and
discrimination against Black offenders in the likelihood of receiving an aggravated sentence or
upward departure versus a standard guideline sentence.
There is not a very strong policy implication of my findings because the unexplained
portions of both decompositions could capture effects of differences in unobservable variables
rather than discrimination. Due to the limitation of the data to control for potentially important
variables such as the race of the judges, the current study cannot conclude that the unexplained
portion represents the amount of racial discrimination in sentencing. However, it does offer an
approach that can be utilized to discern between the guideline and judges’ discretion as to where
potential racial discrimination occurred, which is essential to answering the question of whether
or not guidelines have been effective in eliminating racial disparities in sentencing outcomes.
23
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