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Research ArticleArticles
Open Access

The Impact of Low-Ability Peers on Cognitive and Noncognitive Outcomes

Random Assignment Evidence on the Effects and Operating Channels

View ORCID ProfileDi Xu, View ORCID ProfileQing Zhang and View ORCID ProfileXuehan Zhou
Journal of Human Resources, March 2022, 57 (2) 555-596; DOI: https://doi.org/10.3368/jhr.57.2.0718-9637R2
Di Xu
Di Xu is an associate professor of Education Policy and Social Context at the School of Education, University of California Irvine .
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  • For correspondence: dix3{at}uci.edu
Qing Zhang
Qing Zhang is a postdoctoral fellow at the Instituite for Policy Research at Northwestern University.
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Xuehan Zhou
Xuehan Zhou is a doctoral student at the School of Education, University of California, Irvine.
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Article Figures & Data

Figures

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  • Figure 1
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    Figure 1

    Distribution of the Proportion of Repeaters across Classes

    Notes: The proportion of repeaters ranges from 0 to 66 percent. The numbers are all rounded to the nearest integer and shown in equally sized bins of one percentage point.

  • Figure 2
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    Figure 2

    Distribution of the Proportion of Repeaters in Two Classrooms within Each School

    Notes: The within-school between-class difference in the proportion of repeaters ranges from 0 to 26 percent. The numbers are all rounded to the nearest integer and shown in equally sized bins of one percentage point.

  • Figure 3
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    Figure 3

    Relationship between First Differences in Average Outcomes of Nonrepeaters and First Differences in the Proportion of Repeaters

    Notes: Data used in these figures are first aggregated to the class level and then first differenced between classes within each school. Accordingly, these figures show the relationships between the first differences in the average outcomes of nonrepeaters (y-axis) and the first differences in the proportion of repeaters (x-axis).

Tables

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    Table 1

    Descriptive Statistics of Student Demographics and Family Characteristics

    AllRepeatersNonrepeatersRaw Gap
    (1)(2)(3)(4)
    Female

    0.476

    (0.499)

    0.417

    (0.493)

    0.488

    (0.500)

    −0.007

    (0.007)

    Urban hukou

    0.483

    (0.500)

    0.252

    (0.434)

    0.528

    (0.499)

    −0.024*

    (0.011)

    Only child

    0.423

    (0.494)

    0.145

    (0.352)

    0.478

    (0.500)

    −0.022***

    (0.007)

    Student age in years

    13.585

    (0.746)

    14.306

    (0.806)

    13.443

    (0.645)

    0.179***

    (0.014)

    Mother education in years

    9.618

    (3.573)

    7.509

    (3.206)

    10.033

    (3.494)

    −0.002

    (0.002)

    Father education in years

    10.393

    (3.141)

    8.716

    (2.433)

    10.725

    (3.160)

    −0.002

    (0.002)

    Low income

    0.212

    (0.408)

    0.370

    (0.483)

    0.180

    (0.385)

    0.006

    (0.011)

    Mother occupation
    Civil servants and government officials

    0.034

    (0.182)

    0.012

    (0.109)

    0.038

    (0.192)

    Executives and managers

    0.052

    (0.223)

    0.012

    (0.109)

    0.060

    (0.238)

    0.012

    (0.019)

    Teachers, engineers, doctors, and lawyers

    0.060

    (0.237)

    0.019

    (0.136)

    0.068

    (0.252)

    0.013

    (0.018)

    Technicians (including drivers)

    0.043

    (0.204)

    0.049

    (0.216)

    0.042

    (0.201)

    0.026

    (0.023)

    Manufacturing workers

    0.117

    (0.322)

    0.137

    (0.344)

    0.113

    (0.317)

    −0.003

    (0.020)

    Marketing, sales, and service

    0.150

    (0.357)

    0.104

    (0.306)

    0.159

    (0.366)

    0.008

    (0.018)

    Self-employed

    0.162

    (0.368)

    0.116

    (0.321)

    0.170

    (0.376)

    0.005

    (0.018)

    Farmers

    0.219

    (0.414)

    0.394

    (0.489)

    0.185

    (0.389)

    0.010

    (0.028)

    Unemployed

    0.092

    (0.289)

    0.075

    (0.264)

    0.095

    (0.293)

    0.010

    (0.020)

    Other

    0.070

    (0.255)

    0.080

    (0.272)

    0.068

    (0.252)

    0.046*

    (0.021)

    Father occupation
    Civil servants and government officials

    0.052

    (0.223)

    0.025

    (0.155)

    0.058

    (0.233)

    Omitted

    Executives and managers

    0.085

    (0.279)

    0.018

    (0.133)

    0.098

    (0.297)

    −0.031+

    (0.016)

    Teachers, engineers, doctors, and lawyers

    0.071

    (0.257)

    0.052

    (0.221)

    0.075

    (0.263)

    0.009

    (0.016)

    Technicians (including drivers)

    0.176

    (0.381)

    0.179

    (0.383)

    0.176

    (0.381)

    −0.016

    (0.018)

    Manufacturing workers

    0.093

    (0.290)

    0.106

    (0.308)

    0.090

    (0.287)

    −0.028

    (0.019)

    Marketing, sales, and service

    0.166

    (0.273)

    0.117

    (0.253)

    0.176

    (0.276)

    −0.019

    (0.019)

    Self-employed

    0.166

    (0.372)

    0.117

    (0.321)

    0.176

    (0.381)

    −0.028

    (0.018)

    Farmers

    0.189

    (0.392)

    0.340

    (0.474)

    0.160

    (0.367)

    0.003

    (0.028)

    Unemployed

    0.025

    (0.157)

    0.022

    (0.146)

    0.026

    (0.159)

    −0.033

    (0.024)

    Other

    0.061

    (0.239)

    0.073

    (0.261)

    0.058

    (0.234)

    −0.023

    (0.020)

    Family risk factors
    At least one parent is absent from home

    0.246

    -0.431

    0.399

    -0.450

    0.220

    -0.412

    0.001

    (0.009)

    Father gets drunk regularly

    1.082

    (0.274)

    1.110

    (0.313)

    1.076

    (0.266)

    0.031*

    (0.013)

    Parents always quarrel

    1.096

    (0.295)

    1.126

    (0.332)

    1.090

    (0.287)

    0.004

    (0.014)

    Observations8,4541,3927,0628,454
    • ↵Notes: All variables are binary unless otherwise noted. While some variables have missing values, the missing rates for student characteristics variables are all below 4 percent. Standard deviations in parentheses from Columns 1–3. In Column 4, we regress the indicator of whether a student is a repeater against student and family characteristics while controlling for school fixed effects to examine whether the differences between repeaters and nonrepeaters reach statistical significance. Standard errors are in parentheses. + p<0.10, *p<0.05, **p<0.01, ***p < 0.001.

    • View popup
    Table 2

    Descriptive Statistics of Student Cognitive and Noncognitive Outcomes

    RepeatersNonrepeatersRaw GapN
    (1)(2)(3)(4)
    Academic performance

    69.260

    (21.93)

    80.480

    (21.37)

    -5.507***

    (0.908)

    8,210

    Cognitive assessment

    9.040

    (3.243)

    11.060

    (3.433)

    -0.733***

    (0.129)

    8,408

    Mental stress

    2.180

    (0.789)

    1.973

    (0.806)

    0.102**

    (0.032)

    8,028

    School disengagement

    1.796

    (0.492)

    1.555

    (0.460)

    0.071***

    (0.015)

    8,113

    Expected years of education

    15.230

    (3.443)

    16.710

    (2.975)

    -0.839***

    (0.152)

    8,078

    Confidence about future

    3.125

    (0.756)

    3.329

    (0.684)

    -0.101***

    (0.022)

    8,328

    Observations13467062
    • ↵Notes: We present the descriptive statistics of “expected years of education” and “confidence about future” separately because they are in different scales. Columns 1 and 2 present the means of outcomes with standard deviations in parentheses. In Column 3, we regress each outcome variable on the repeater dummy to examine the raw gap between repeaters and nonrepeaters while controlling for school fixed effects; standard errors are in parentheses. Column 4 shows the number of nonrepeaters in the regression analysis sample. The analysis sample is restricted to students with nonmissing values on the outcome variables. The missing rates of outcome variables are all below 4 percent. + p < 0.10, *p < 0.05, **p < 0.01, ***p < 0.001.

    • View popup
    Table 3

    Randomization Check of Student Assignment

    Academic PerformanceCognitive AssessmentMental StressSchool DisengagementEducational ExpectationsTreatment: Proportion of Peer Repeaters (%)
    (1)(2)(3)(4)(5)(6)
    Female

    0.403***

    (0.026)

    −0.009

    (0.032)

    0.087**

    (0.029)

    −0.040*

    (0.019)

    0.017

    (0.029)

    −0.003

    (0.119)

    Urban hukou

    0.028

    (0.031)

    0.040

    (0.048)

    −0.020

    (0.031)

    −0.012

    (0.018)

    −0.010

    (0.022)

    −0.563

    (0.391)

    Only child

    0.119***

    (0.035)

    0.041

    (0.040)

    −0.034

    (0.026)

    −0.014

    (0.022)

    0.032

    (0.027)

    −0.209

    (0.232)

    Age

    −0.162***

    (0.024)

    −0.185***

    (0.026)

    0.016

    (0.021)

    0.018

    (0.017)

    −0.102***

    (0.019)

    0.101

    (0.134)

    Mother education in years

    0.009

    (0.006)

    0.006

    (0.007)

    −0.004

    (0.006)

    0.000

    (0.004)

    0.011*

    (0.005)

    −0.038

    (0.036)

    Father education in years

    0.025***

    (0.006)

    0.012

    (0.008)

    −0.005

    (0.006)

    −0.011**

    (0.004)

    0.032***

    (0.005)

    −0.016

    (0.038)

    Low income

    −0.086*

    (0.038)

    −0.126**

    (0.043)

    0.136***

    (0.030)

    0.069*

    (0.029)

    0.018

    (0.037)

    0.219

    (0.444)

    Mother occupation (Reference group: Civil servants and government officials)
    Executive and managerial

    −0.064

    (0.084)

    −0.094

    (0.132)

    −0.101

    (0.091)

    −0.065

    (0.063)

    0.095

    (0.060)

    −0.082

    (0.488)

    Teachers, engineers, doctors, and lawyers

    0.147

    (0.097)

    0.298*

    (0.120)

    −0.006

    (0.076)

    −0.168***

    (0.042)

    0.057

    (0.067)

    −0.513

    (0.444)

    Technicians (including drivers)

    0.007

    (0.086)

    0.143

    (0.106)

    0.016

    (0.121)

    −0.116+

    (0.060)

    −0.118

    (0.080)

    0.409

    (0.710)

    Manufacturing workers

    0.055

    (0.078)

    0.181

    (0.112)

    0.072

    (0.090)

    −0.085

    (0.054)

    −0.146*

    (0.069)

    −0.037

    (0.562)

    Marketing, sales, and service

    0.029

    (0.088)

    0.188+

    (0.104)

    0.010

    (0.083)

    −0.081

    (0.050)

    −0.136+

    (0.070)

    −0.157

    (0.450)

    Self-employed

    0.106

    (0.069)

    0.181*

    (0.082)

    0.026

    (0.075)

    −0.117*

    (0.046)

    0.030

    (0.070)

    −0.710

    (0.543)

    Farmers

    0.069

    (0.086)

    0.091

    (0.112)

    −0.040

    (0.084)

    −0.100+

    (0.057)

    −0.025

    (0.066)

    −0.139

    (0.450)

    Unemployed

    0.046

    (0.086)

    0.157

    (0.115)

    0.060

    (0.083)

    −0.016

    (0.057)

    −0.121

    (0.074)

    −0.004

    (0.610)

    Other

    −0.014

    (0.077)

    0.026

    (0.100)

    0.013

    (0.079)

    −0.108*

    (0.047)

    −0.055

    (0.061)

    −0.214

    (0.357)

    Observations6,9397,0626,9047,0297,0207,062
    Father occupation (Reference group: Civil servants and government officials)
    Executive and managerial

    −0.076

    (0.059)

    −0.110

    (0.084)

    0.087

    (0.068)

    −0.035

    (0.056)

    −0.080

    (0.077)

    0.118

    (0.380)

    Teachers, engineers, doctors, and lawyers

    −0.009

    (0.075)

    −0.044

    (0.091)

    −0.018

    (0.069)

    −0.034

    (0.052)

    −0.054

    (0.104)

    −0.331

    (0.694)

    Technicians (including drivers)

    −0.072

    (0.068)

    −0.025

    (0.084)

    0.024

    (0.063)

    −0.025

    (0.052)

    −0.022

    (0.083)

    0.045

    (0.424)

    Manufacturing workers

    −0.120+

    (0.063)

    −0.070

    (0.107)

    −0.003

    (0.069)

    −0.035

    (0.053)

    −0.123

    (0.097)

    0.512*

    (0.254)

    Marketing, sales, and service

    −0.142*

    (0.070)

    −0.176+

    (0.102)

    0.019

    (0.074)

    −0.061

    (0.051)

    −0.053

    (0.093)

    0.765*

    (0.383)

    Self-employed

    −0.071

    (0.059)

    −0.017

    (0.084)

    0.012

    (0.060)

    −0.051

    (0.040)

    −0.052

    (0.097)

    0.086

    (0.304)

    Fanners

    −0.075

    (0.073)

    −0.053

    (0.097)

    −0.043

    (0.068)

    −0.070

    (0.059)

    −0.112

    (0.095)

    0.460

    (0.537)

    Unemployed

    −0.100

    (0.110)

    −0.104

    (0.124)

    0.017

    (0.102)

    −0.058

    (0.085)

    0.086

    (0.143)

    1.018

    (0.726)

    Other

    −0.021

    (0.082)

    −0.074

    (0.111)

    0.036

    (0.071)

    0.001

    (0.058)

    −0.061

    (0.099)

    0.374

    (0.591)

    Family risk factors
    At least one parent is absent from home

    −0.091**

    (0.034)

    −0.033

    (0.032)

    0.063*

    (0.025)

    0.031

    (0.027)

    −0.038

    (0.024)

    0.191

    (0.286)

    Father gets drunk regularly

    −0.093*

    (0.044)

    −0.090+

    (0.054)

    0.125*

    (0.051)

    0.017

    (0.039)

    −0.156**

    (0.048)

    0.063

    (0.306)

    Parents always quarrel

    −0.027

    (0.040)

    0.010

    (0.056)

    0.359***

    (0.052)

    0.189***

    (0.035)

    −0.183***

    (0.048)

    −0.038

    (0.283)

    Observations693970626904702970207062
    • ↵Notes: All models include school fixed effects. Standard errors in parentheses. +p< 0.10, *p< 0.05, **p< 0.01, ***p< 0.001.

    • View popup
    Table 4

    Randomization Check of Homeroom Teacher Assignment

    Proportion of Repeaters in Class
    Homeroom teacher female

    −2.145

    (2.083)

    Homeroom teacher age in years

    −0.437

    (0.292)

    Education level (Reference group: Professional college education)
    Adult higher education

    0.936

    (3.768)

    College education or higher

    −0.185

    (4.167)

    Graduated from a normal university

    −3.038

    (2.525)

    Have a teaching certificate

    2.494

    (5.195)

    Teaching experience in years

    0.428*

    (0.190)

    Teaching title (Reference group: No title)
    Level 2 or 3

    8.130

    (5.704)

    Level 1

    6.219

    (6.635)

    Senior teacher or higher

    6.475

    (8.990)

    Teaching award (Reference group: School level or no award)
    County or district level

    −0.928

    (2.483)

    City level

    −0.888

    (2.678)

    Provincial or national level

    −3.044

    (2.833)

    Class size

    −0.203

    (0.385)

    Observations183
    • ↵Notes: Data are aggregated to the class level. Accordingly, each observation represents one class. The model controls for school fixed effects. Standard errors in parentheses. + p < 0.10, *p < 0.05, **p < 0.01, ***p < 0.001.

    • View popup
    Table 5

    Impact of Repeaters on Nonrepeaters’ Cognitive and Noncognitive Outcomes

    (1)(2)(3)(4)(5)
    Academic performance

    –0.029***

    (0.008)

    –0.026***

    (0.007)

    –0.024***

    (0.007)

    –0.021***

    (0.006)

    –0.018*

    (0.007)

    Observations6,9396,9396,9396,93990
    Cognitive assessment

    –0.025**

    (0.008)

    –0.023**

    (0.008)

    –0.026***

    (0.007)

    –0.023***

    (0.006)

    –0.023**

    (0.008)

    Observations7,0627,0627,0627,06290
    Mental stress

    0.006+

    (0.004)

    0.006

    (0.003)

    0.003

    (0.004)

    0.003

    (0.003)

    0.004

    (0.005)

    Observations6,9046,9046,9046,90490
    School disengagement

    0.010*

    (0.004)

    0.009**

    (0.004)

    0.007*

    (0.003)

    0.007*

    (0.003)

    0.006+

    (0.003)

    Observations7,0297,0297,0297,02990
    Educational expectations

    –0.013**

    (0.005)

    –0.011**

    (0.004)

    –0.005

    (0.004)

    –0.003

    (0.004)

    –0.003

    (0.004)

    Observations7,0207,0207,0207,02090
    School fixed effectsYesYesYesYes
    Student characteristicsNoYesYesYesYes
    Homeroom teacher characteristicsNoNoYesYesYes
    Classroom characteristicsNoNoNoYesYes
    First difference number of repeatersYes
    • ↵Notes: All outcome variables are standardized among nonrepeaters within each school. Each coefficient represents a separate regression using the proportion of repeater peers to predict each outcome variable. Student characteristics include gender, hukou status, only child, age, parental educational attainment, parental occupations, family income, and family risk factors. Homeroom teacher characteristics include homeroom teacher gender, age, educational level, graduated from a normal university (a university specializing in teaching), have a teaching certificate, teaching experience in years, teaching title, and teaching award. Classroom characteristics include class size, percentage of boys, percentage of low-income families, and percentage of students who have at least one family risk factor. Column 5 shows the first-difference estimates at the school level. Standard errors are in parentheses. + p < 0.10, *p < 0.05, **p < 0.01, ***p < 0.001.

    • View popup
    Table 6

    Mechanisms through Which Repeater Peers Influence Nonrepeaters

    Descriptiive StatisticsRegression Coefficients
    RepeatersNonrepeatersSchool FE with Individual ControlsSchool FE with Individual and Homeroom Teacher ControlsSchool FE with Individual, Homeroom Teacher, and Classroom ControlsN
    (1)(2)(3)(4)(5)(6)
    Positive student–teacher interaction

    2.560

    (0.633)

    2.745

    (0.621)

    –0.002

    (0.003)

    –0.000

    (0.003)

    –0.001

    (0.002)

    7,038

    Positive student–student interaction

    2.996

    (0.775)

    3.246

    (0.734)

    –0.010*

    (0.005)

    –0.004

    (0.004)

    –0.002

    (0.004)

    7,016

    After-school study time (hours)

    1.238

    (1.200)

    1.334

    (1.016)

    –0.010***

    (0.003)

    –0.008*

    (0.003)

    –0.010*

    (0.004)

    6,498

    Having friends with general disciplinary problems

    0.334

    (0.472)

    0.193

    (0.395)

    0.001

    (0.002)

    0.002

    (0.002)

    0.002

    (0.002)

    6,943

    Having friends who go to internet cafés regularly

    0.212

    (0.409)

    0.087

    (0.282)

    0.001

    (0.002)

    0.003+

    (0.001)

    0.002

    (0.001)

    6,929

    Observations1,3917,061
    School fixed effectsYesYesYes
    Student characteristicsYesYesYes
    Homeroom teacher characteristicsNoYesYes
    Classroom characteristicsNoNoYes
    • ↵Notes: Columns 1 and 2 present the raw mean values for repeaters and nonrepeaters with standard deviations in parentheses. Columns 3–5 present estimates based on regressions with different specifications, in which we progressively add student characteristics, homeroom teacher characteristics, and classroom characteristics to the school fixed effects models. Outcome variables in Column 3–5 are standardized among nonrepeaters within each school. Standard errors in parentheses. +p< 0.10, *p<0.05, **p<0.01, ***p<0.001.

    • View popup
    Table 7

    Heterogeneous Effects of Repeaters on Nonrepeaters: Outcomes and Mechanisms

    Child Discipline at HomeRegular Homework CheckMother’s Education
    NonstrictStrictDifferenceNoYesDifferenceCollege or HigherHigh School or LessDifference
    (1)(2)(3)(4)(5)(6)(7)(8)(9)
    Panel A: Cognitive and Noncognitive Outcomes
    Academic performance

    –0.023*

    (0.009)

    –0.019***

    (0.006)

    0.004

    (0.007)

    –0.019*

    (0.009)

    –0.021**

    (0.007)

    –0.002

    (0.011)

    –0.002

    (0.019)

    –0.022***

    (0.006)

    –0.020

    (0.018)

    Observations1,3565,1576,5131,5645,3016,8651,0745,7126786
    Cognitive assessment

    –0.030**

    (0.010)

    –0.019**

    (0.006)

    0.011

    (0.009)

    –0.043***

    (0.007)

    –0.015*

    (0.006)

    0.028***

    (0.007)

    –0.014

    (0.018)

    –0.024***

    (0.006)

    –0.011

    (0.018)

    Observations1,3855,2376,6221,6035,3776,9801,0845,8216,905
    Mental stress

    0.007

    (0.006)

    0.003

    (0.004)

    –0.003

    (0.006)

    0.004

    (0.006)

    0.003

    (0.003)

    –0.001

    (0.005)

    –0.006

    (0.010)

    0.002

    (0.004)

    0.008

    (0.010)

    Observations1,3595,1266,4851,5855,2526,8371,0635,6976,760
    School disengagement

    0.011*

    (0.005)

    0.004

    (0.003)

    –0.007

    (0.006)

    0.011*

    (0.004)

    0.005

    (0.003)

    –0.007+

    (0.004)

    –0.012

    (0.012)

    0.007*

    (0.003)

    0.021+

    (0.011)

    Observations1,3795,2196,5981,5975,3636,9601,0805,7956,875
    Educational expectations

    –0.002

    (0.005)

    –0.003

    (0.004)

    –0.002

    (0.005)

    –0.006

    (0.007)

    –0.002

    (0.004)

    0.005

    (0.006)

    0.023+

    (0.012)

    –0.004

    (0.004)

    –0.027*

    (0.012)

    Observations1,3735,2126,5851,5945,3486,9421,0795,7856,864
    Panel B: Mechanisms
    Positive student–teacher interaction

    –0.001

    (0.006)

    –0.002

    (0.003)

    –0.001

    (0.008)

    –0.001

    (0.005)

    –0.002

    (0.003)

    –0.001

    (0.007)

    –0.011

    (0.012)

    –0.001

    (0.002)

    0.009

    (0.011)

    Observations1,3795,2296,6081,5985,3726,9701,0845,8006,884
    Positive student–student interaction

    –0.009+

    (0.005)

    –0.001

    (0.004)

    0.008

    (0.007)

    –0.002

    (0.005)

    –0.002

    (0.004)

    –0.000

    (0.006)

    0.003

    (0.023)

    –0.002

    (0.004)

    –0.003

    (0.022)

    Observations1,3785,2096,5871,5955,3556,9501,0785,7866,864
    After–school study time (hours)

    –0.025***

    (0.007)

    –0.007+

    (0.004)

    0.019**

    (0.006)

    –0.016**

    (0.005)

    –0.010+

    (0.005)

    0.005

    (0.007)

    –0.003

    (0.015)

    –0.010*

    (0.004)

    –0.006

    (0.015)

    Observations1,2804,8296,1091,4794,9646,4439875,3806,367
    Having friends with general disciplinary problems

    0.004

    (0.005)

    0.001

    (0.002)

    –0.003

    (0.004)

    0.003

    (0.003)

    0.000

    (0.002)

    –0.003

    (0.003)

    –0.012

    (0.007)

    0.003

    (0.002)

    0.014*

    (0.007)

    Observations1,3565,1646,520157553056880106757266793
    Having friends who go to internet cafés regularly

    0.006*

    (0.003)

    0.001

    (0.001)

    –0.004+

    (0.003)

    0.006*

    (0.003)

    –0.000

    (0.001)

    –0.006**

    (0.002)

    –0.005

    (0.005)

    0.003*

    (0.002)

    0.008

    (0.005)

    Observations1,3555,1536,5081,5715,2976,8681,0675,7146,781
    • ↵Notes: Columns 3, 6, and 9 are results of joint F-tests examining whether the two groups of coefficients are significantly different from each other. All models include student, homeroom teacher, and classroom control variables, as well as school fixed effects. Standard errors in parentheses. + p< 0.10, *p<0.05, **p< 0.01, ***p< 0.001.

    • View popup
    Table 8

    Impacts of Male and Female Repeaters on Nonrepeaters: Outcomes and Mechanisms

    Proportion of Male RepeatersProportion of Female Repeaters
    (1)(2)
    Panel A: Cognitive and noncognitive outcomes
    Academic performance

    –0.028***

    (0.007)

    –0.012

    (0.010)

    Observations6,9396,939
    Cognitive assessment

    –0.021**

    (0.007)

    –0.028*

    (0.011)

    Observations7,0627,062
    Mental stress

    0.001

    (0.005)

    0.004

    (0.005)

    Observations6,9046,904
    School disengagement

    0.007+

    (0.004)

    0.006

    (0.005)

    Observations7,0297,029
    Educational expectations

    –0.008+

    (0.005)

    0.006

    (0.007)

    Observations7,0207,020
    Panel B: Mechanism outcomes
    Positive student–teacher interaction

    0.001

    (0.003)

    –0.006

    (0.005)

    Observations7,0387,038
    Positive student–student interaction

    –0.009+

    (0.005)

    0.011

    (0.008)

    Observations7,0167,016
    After-school study time (hours)

    –0.011*

    (0.005)

    –0.011

    (0.008)

    Observations6,4986,498
    Having friends with general disciplinary problems

    0.006**

    (0.002)

    –0.006*

    (0.002)

    Observations6,9436,943
    Having friends who go to internet cafés regularly

    0.004**

    (0.002)

    –0.001

    (0.002)

    Observations6,9296,929
    • ↵Notes: All models include student, homeroom teacher, and classroom control variables, as well as school fixed effects. Standard errors in parentheses. + p < 0.10, *p < 0.05, **p < 0.01, ***p < 0.001.

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Journal of Human Resources: 57 (2)
Journal of Human Resources
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The Impact of Low-Ability Peers on Cognitive and Noncognitive Outcomes
Di Xu, Qing Zhang, Xuehan Zhou
Journal of Human Resources Mar 2022, 57 (2) 555-596; DOI: 10.3368/jhr.57.2.0718-9637R2

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The Impact of Low-Ability Peers on Cognitive and Noncognitive Outcomes
Di Xu, Qing Zhang, Xuehan Zhou
Journal of Human Resources Mar 2022, 57 (2) 555-596; DOI: 10.3368/jhr.57.2.0718-9637R2
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