Prashant Loyalka

All Publications

• Diminishing Marginal Returns to Computer-Assisted Learning JOURNAL OF POLICY ANALYSIS AND MANAGEMENT Bettinger, E., Fairlie, R., Kapuza, A., Kardanova, E., Loyalka, P., Zakharov, A. 2022

  View details for DOI 10.1002/pam.22442

  View details for Web of Science ID 000889907200001

• Manufacturing Productivity with Worker Turnover MANAGEMENT SCIENCE Moon, K., Bergemann, P., Brown, D., Chen, A., Chu, J., Eisen, E. A., Fischer, G. M., Loyalka, P., Rho, S., Cohen, J. 2022

  View details for DOI 10.1287/mnsc.2022.4476

  View details for Web of Science ID 000842456500001

• The Hidden Cost of Worker Turnover: Attributing Product Reliability to the Turnover of Factory Workers MANAGEMENT SCIENCE Moon, K., Loyalka, P., Bergemann, P., Cohen, J. 2022; 68 (5): 3755-3767

  View details for DOI 10.1287/mnsc.2022.4311

  View details for Web of Science ID 000803841000008

• The Effect of Faculty Research on Student Learning in College EDUCATIONAL RESEARCHER Loyalka, P., Shi, Z., Li, G., Kardanova, E., Chirikov, I., Yu, N., Hu, S., Wang, H., Ma, L., Guo, F., Liu, O., Bhuradia, A., Khanna, S., Li, Y., Murray, A. 2022

  View details for DOI 10.3102/0013189X221090229

  View details for Web of Science ID 000776656300001

• Skill levels and gains in university STEM education in China, India, Russia and the United States. Nature human behaviour Loyalka, P., Liu, O. L., Li, G., Kardanova, E., Chirikov, I., Hu, S., Yu, N., Ma, L., Guo, F., Beteille, T., Tognatta, N., Gu, L., Ling, G., Federiakin, D., Wang, H., Khanna, S., Bhuradia, A., Shi, Z., Li, Y. 2021

  Abstract

  Universities contribute to economic growth and national competitiveness by equipping students with higher-order thinking and academic skills. Despite large investments in university science, technology, engineering and mathematics (STEM) education, little is known about how the skills of STEM undergraduates compare across countries and by institutional selectivity. Here, we provide direct evidence on these issues by collecting and analysing longitudinal data on tens of thousands of computer science and electrical engineering students in China, India, Russia and the United States. We find stark differences in skill levels and gains among countries and by institutional selectivity. Compared with the United States, students in China, India and Russia do not gain critical thinking skills over four years. Furthermore, while students in India and Russia gain academic skills during the first two years, students in China do not. These gaps in skill levels and gains provide insights into the global competitiveness of STEM university students across nations and institutional types.

  View details for DOI 10.1038/s41562-021-01062-3

  View details for PubMedID 33649462

• Instructional interventions for improving COVID-19 knowledge, attitudes, behaviors: Evidence from a large-scale RCT in India. Social science & medicine (1982) Mistree, D. n., Loyalka, P. n., Fairlie, R. n., Bhuradia, A. n., Angrish, M. n., Lin, J. n., Karoshi, A. n., Yen, S. J., Mistri, J. n., Bayat, V. n. 2021; 276: 113846

  Abstract

  Seeking ways to encourage broad compliance with health guidelines during the pandemic, especially among youth, we test two hypotheses pertaining to the optimal design of instructional interventions for improving COVID-19-related knowledge, attitudes, and behaviors. We randomly assigned 8376 lower-middle income youth in urban India to three treatments: a concentrated and targeted fact-based, instructional intervention; a longer instructional intervention that provided the same facts along with underlying scientific concepts; and a control. Relative to existing efforts, we find that both instructional interventions increased COVID-19-related knowledge immediately after intervention. Relative to the shorter fact-based intervention, the longer intervention resulted in sustained improvements in knowledge, attitudes, and self-reported behavior. Instead of reducing attention and comprehension by youth, the longer scientific based treatment appears to have increased understanding and retention of the material. The findings are instrumental to understanding the design of instruction and communication in affecting compliance during this and future pandemics.

  View details for DOI 10.1016/j.socscimed.2021.113846

  View details for PubMedID 33773476

• Stuck in Place? A Field Experiment on the Effects of Reputational Information on Student Evaluations SOCIAL FORCES Chu, J., Li, G., Loyalka, P., Liu, C., Rosa, L., Li, Y. 2020; 98 (4): 1578–1612

  View details for DOI 10.1093/sf/soz097

  View details for Web of Science ID 000593200200051

• Schooling and Covid-19: lessons from recent research on EdTech. NPJ science of learning Fairlie, R., Loyalka, P. 2020; 5: 13

  Abstract

  The wide-scale global movement of school education to remote instruction due to Covid-19 is unprecedented. The use of educational technology (EdTech) offers an alternative to in-person learning and reinforces social distancing, but there is limited evidence on whether and how EdTech affects academic outcomes. Recently, we conducted two large-scale randomized experiments, involving ~10,000 primary school students in China and Russia, to evaluate the effectiveness of EdTech as a substitute for traditional schooling. In China, we examined whether EdTech improves academic outcomes relative to paper-and-pencil workbook exercises of identical content. We found that EdTech was a perfect substitute for traditional learning. In Russia, we further explored how much EdTech can substitute for traditional learning. We found that EdTech substitutes only to a limited extent. The findings from these large-scale trials indicate that we need to be careful about using EdTech as a full-scale substitute for the traditional instruction received by schoolchildren.

  View details for DOI 10.1038/s41539-020-00072-6

  View details for PubMedID 32821427

• Institutions, implementation, and program effectiveness: Evidence from a randomized evaluation of computer-assisted learning in rural China Journal of Development Economics Mo, D., Bai, Y., Shi, Y., Abbey, C., Zhang, L., Rozelle, S., Loyalka, P. 2020; 146
• Does Teacher Training Actually Work? Evidence from a Large-Scale Randomized Evaluation of a National Teacher Training Program AMERICAN ECONOMIC JOURNAL-APPLIED ECONOMICS Loyalka, P., Popova, A., Li, G., Shi, Z. 2019; 11 (3): 128–54

  View details for DOI 10.1257/app.20170226

  View details for Web of Science ID 000473117200004

• Pay by Design: Teacher Performance Pay Design and the Distribution of Student Achievement JOURNAL OF LABOR ECONOMICS Loyalka, P., Sylvia, S., Liu, C., Chu, J., Shi, Y. 2019; 37 (3): 621–62

  View details for DOI 10.1086/702625

  View details for Web of Science ID 000471691100001

• Computer science skills across China, India, Russia, and the United States PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA Loyalka, P., Liu, O., Li, G., Chirikov, I., Kardanova, E., Gu, L., Ling, G., Yu, N., Guo, F., Ma, L., Hu, S., Johnson, A., Bhuradia, A., Khanna, S., Froumin, I., Shi, J., Choudhury, P., Beteille, T., Marmolejo, F., Tognatta, N. 2019; 116 (14): 6732–36

  View details for DOI 10.1073/pnas.1814646116

  View details for Web of Science ID 000463069900042

• Human Capital and China's Future Growth JOURNAL OF ECONOMIC PERSPECTIVES Li, H., Loyalka, P., Rozelle, S., Wu, B. 2017; 31 (1): 25-48

  View details for DOI 10.1257/jep.31.1.25

  View details for Web of Science ID 000393699100002

• Can Social-Emotional Learning Reduce School Dropout in Developing Countries? JOURNAL OF POLICY ANALYSIS AND MANAGEMENT Wang, H., Chu, J., Loyalka, P., Xin, T., Shi, Y., Qu, Q., Yang, C. 2016; 35 (4): 818-?

  View details for DOI 10.1002/pam.21915

  View details for Web of Science ID 000383668300005

• Revisiting the Relationship Between International Assessment Outcomes and Educational Production: Evidence From a Longitudinal PISA-TIMSS Sample AMERICAN EDUCATIONAL RESEARCH JOURNAL Carnoy, M., Khavenson, T., Loyalka, P., Schmidt, W. H., Zakharov, A. 2016; 53 (4): 1054-1085

  View details for DOI 10.3102/0002831216653180

  View details for Web of Science ID 000383209100008

• China's Left-Behind Children: Impact Of Parental Migration On Health, Nutrition, And Educational Outcomes. Health affairs Zhou, C., Sylvia, S., Zhang, L., Luo, R., Yi, H., Liu, C., Shi, Y., Loyalka, P., Chu, J., Medina, A., Rozelle, S. 2015; 34 (11): 1964-1971

  Abstract

  China's rapid development and urbanization have induced large numbers of rural residents to migrate from their homes to urban areas in search of better job opportunities. Parents typically leave their children behind with a caregiver, creating a new, potentially vulnerable subpopulation of left-behind children in rural areas. A growing number of policies and nongovernmental organization efforts target these children. The primary objective of this study was to examine whether left-behind children are really the most vulnerable and in need of special programs. Pulling data from a comprehensive data set covering 141,000 children in ten provinces (from twenty-seven surveys conducted between 2009 and 2013), we analyzed nine indicators of health, nutrition, and education. We found that for all nine indicators, left-behind children performed as well as or better than children living with both parents. However, both groups of children performed poorly on most of these indicators. Based on these findings, we recommend that special programs designed to improve health, nutrition, and education among left-behind children be expanded to cover all children in rural China.

  View details for DOI 10.1377/hlthaff.2015.0150

  View details for PubMedID 26526256

• Giving kids a head start: The impact and mechanisms of early commitment of financial aid on poor students in rural China JOURNAL OF DEVELOPMENT ECONOMICS Yi, H., Song, Y., Liu, C., Huang, X., Zhang, L., Bai, Y., Ren, B., Shi, Y., Loyalka, P., Chu, J., Rozelle, S. 2015; 113: 1-15

  View details for DOI 10.1016/j.jdeveco.2014.11.002

  View details for Web of Science ID 000348885300001

• The Cost of Disability in China DEMOGRAPHY Loyalka, P., Liu, L., Chen, G., Zheng, X. 2014; 51 (1): 97-118

  Abstract

  We describe the degree to which household income is negatively associated with the prevalence of different types of disability (i.e., medical impairments) in China using data from the 2006 Second National Survey of Disabled Persons. We then calculate the extra costs of disability across different types of households and show how these costs differ by the type and severity of disability in both urban and rural areas. Finally, we use nationally representative panel data on persons with disabilities from 2007 to 2009 to examine the degree to which social security is reaching persons with different types and severity of disabilities in both urban and rural areas. We conclude that although the amount and coverage of social security for households with disabilities is increasing rapidly, it is still not enough to offset the income differential between households with and without disabled persons, especially when we account for the extra costs of disability.

  View details for DOI 10.1007/s13524-013-0272-7

  View details for Web of Science ID 000330990200006

• University Expansion in a Changing Global Economy: Triumph of the BRICs? Loyalka , P., et al Stanford University Press. 2013
• Education and EdTech during COVID-19: Evidence from a Large-Scale Survey during School Closures in China COMPARATIVE EDUCATION REVIEW Li, G., Zhang, X., Liu, D., Xue, H., Hu, D., Lee, O., Rilling, C., Ma, Y., Abbey, C., Fairlie, R., Loyalka, P., Rozelle, S. 2023

  View details for DOI 10.1086/723027

  View details for Web of Science ID 000911181200001

• Stuck in the middle school rut: can anything improve academic achievement in rural Chinese middle schools? JOURNAL OF DEVELOPMENT EFFECTIVENESS Qin, F., Hu, H., Loyalka, P., Dill, S., Rozelle, S. 2022

  View details for DOI 10.1080/19439342.2022.2067890

  View details for Web of Science ID 000789833200001

• Off the COVID-19 Epicentre: The Impact of Quarantine Controls on Employment, Education and Health in China's Rural Communities CHINA QUARTERLY Wang, H., Dill, S., Zhou, H., Ma, Y., Xue, H., Loyalka, P., Sylvia, S., Boswell, M., Lin, J., Rozelle, S. 2022

  View details for DOI 10.1017/S0305741021000989

  View details for Web of Science ID 000767144400001

• Health, economic, and social implications of COVID-19 for China's rural population AGRICULTURAL ECONOMICS Wang, H., Dill, S., Zhou, H., Ma, Y., Xue, H., Sylvia, S., Smith, K., Boswell, M., Medina, A., Loyalka, P., Abby, C., Friesen, D., Rose, N., Guo, Y., Rozelle, S. 2021

  View details for DOI 10.1111/agec.12630

  View details for Web of Science ID 000648889700001

• Health, economic, and social implications of COVID-19 for China's rural population. Agricultural economics (Amsterdam, Netherlands) Wang, H., Dill, S. E., Zhou, H., Ma, Y., Xue, H., Sylvia, S., Smith, K., Boswell, M., Medina, A., Loyalka, P., Abby, C., Friesen, D., Rose, N., Guo, Y., Rozelle, S. 2021; 52 (3): 495-504

  Abstract

  This study examines the effects of local and nationwide COVID-19 disease control measures on the health and economy of China's rural population. We conducted phone surveys with 726 randomly selected village informants across seven rural Chinese provinces in February 2020. Four villages (0.55%) reported infections, and none reported deaths. Disease control measures had been universally implemented in all sample villages. About 74% of informants reported that villagers with wage-earning jobs outside the village had stopped working due to workplace closures. A higher percentage of rural individuals could not work due to transportation, housing, and other constraints. Local governments had taken measures to reduce the impact of COVID-19. Although schools in all surveyed villages were closed, 71% of village informants reported that students were attending classes online. Overall, measures to control COVID-19 appear to have been successful in limiting disease transmission in rural communities outside the main epidemic area. Rural Chinese citizens, however, have experienced significant economic consequences from the disease control measures.

  View details for DOI 10.1111/agec.12630

  View details for PubMedID 34149132

  View details for PubMedCentralID PMC8207079

• Tracking the effects of COVID-19 in rural China over time. International journal for equity in health Wang, H. n., Zhang, M. n., Li, R. n., Zhong, O. n., Johnstone, H. n., Zhou, H. n., Xue, H. n., Sylvia, S. n., Boswell, M. n., Loyalka, P. n., Rozelle, S. n. 2021; 20 (1): 35

  Abstract

  China issued strict nationwide guidelines to combat the COVID-19 outbreak in January 2020 and gradually loosened the restrictions on movement in early March. Little is known about how these disease control measures affected the 600 million people who live in rural China. The goal of this paper is to document the quarantine measures implemented in rural China outside the epicenter of Hubei Province and to assess the socioeconomic effect of the measures on rural communities over time.We conducted three rounds of interviews with informants from 726 villages in seven provinces, accounting for over 25% of China's overall rural population. The survey collected data on rural quarantine implementation; COVID-19 infections and deaths in the survey villages; and effects of the quarantine on employment, income, education, health care, and government policies to address any negative impacts. The empirical findings of the work established that strict quarantine measures were implemented in rural villages throughout China in February.There was little spread of COVID-19 in rural communities: an infection rate of 0.001% and zero deaths reported in our sample. However, there were negative social and economic outcomes, including high rates of unemployment, falling household income, rising prices, and disrupted student learning. Health care was generally accessible, but many delayed their non-COVID-19 health care due to the quarantine measures. Only 20% of villagers received any form of local government aid, and only 11% of villages received financial subsidies. There were no reports of national government aid programs that targeted rural villagers in the sample areas.By examining the economic and social effects of the COVID-19 restrictions in rural communities, this study will help to guide other middle- and low-income countries in their containment and restorative processes. Without consideration for economically vulnerable populations, economic hardships and poverty will likely continue to have a negative impact on the most susceptible communities.

  View details for DOI 10.1186/s12939-020-01369-z

  View details for PubMedID 33446205

  View details for PubMedCentralID PMC7807215

• The Impacts of Highly Resourced Vocational Schools on Student Outcomes in China CHINA & WORLD ECONOMY Li, G., Xu, J., Li, L., Shi, Z., Yi, H., Chu, J., Kardanova, E., Li, Y., Loyalka, P., Rozelle, S. 2020; 28 (6): 125–50

  View details for DOI 10.1111/cwe.12358

  View details for Web of Science ID 000596480800006

• Examining mode effects for an adapted Chinese critical thinking assessment ASSESSMENT & EVALUATION IN HIGHER EDUCATION Gu, L., Ling, G., Liu, O., Yang, Z., Li, G., Kardanova, E., Loyalka, P. 2020

  View details for DOI 10.1080/02602938.2020.1836121

  View details for Web of Science ID 000584803900001

• Large-scale international assessments of learning outcomes: balancing the interests of multiple stakeholders JOURNAL OF HIGHER EDUCATION POLICY AND MANAGEMENT Li, G., Shcheglova, I., Bhuradia, A., Li, Y., Loyalka, P., Zhou, O., Hu, S., Yu, N., Ma, L., Guo, F., Chirikov, I. 2020

  View details for DOI 10.1080/1360080X.2020.1767327

  View details for Web of Science ID 000540101800001

• The impact of pay-for-percentile incentive on low-achieving students in rural China ECONOMICS OF EDUCATION REVIEW Chang, F., Wang, H., Qu, Y., Zheng, Q., Loyalka, P., Sylvia, S., Shi, Y., Dill, S., Rozelle, S. 2020; 75

  View details for DOI 10.1016/j.econedurev.2020.101954

  View details for Web of Science ID 000527962900006

• The prevalence of parent-teacher interaction in developing countries and its effect on student outcomes TEACHING AND TEACHER EDUCATION Li, G., Lin, M., Liu, C., Johnson, A., Li, Y., Loyalka, P. 2019; 86

  View details for DOI 10.1016/j.tate.2019.102878

  View details for Web of Science ID 000491631500009

• Thinking critically about critical thinking: validating the Russian HEIghten? critical thinking assessment STUDIES IN HIGHER EDUCATION Shaw, A., Liu, O., Gu, L., Kardonova, E., Chirikov, I., Li, G., Hu, S., Yu, N., Ma, L., Guo, F., Su, Q., Shi, J., Shi, H., Loyalka, P. 2019

  View details for DOI 10.1080/03075079.2019.1672640

  View details for Web of Science ID 000489959700001

• The impact of teacher professional development programs on student achievement in rural China: evidence from Shaanxi Province JOURNAL OF DEVELOPMENT EFFECTIVENESS Lu, M., Loyalka, P., Shi, Y., Chang, F., Liu, C., Rozelle, S. 2019

  View details for DOI 10.1080/19439342.2019.1624594

  View details for Web of Science ID 000472415100001

• The role of faculty in reducing academic dishonesty among engineering students STUDIES IN HIGHER EDUCATION Chirikov, I., Shmeleva, E., Loyalka, P. 2019

  View details for DOI 10.1080/03075079.2019.1616169

  View details for Web of Science ID 000470458400001

• Parental migration, educational achievement, and mental health of junior high school students in rural China CHINA ECONOMIC REVIEW Chang, F., Jiang, Y., Loyalka, P., Chu, J., Shi, Y., Osborn, A., Rozelle, S. 2019; 54: 337–49

  View details for DOI 10.1016/j.chieco.2019.01.007

  View details for Web of Science ID 000464630100022

• Catching the Big Fish in the Little Pond Effect: Evidence from 33 Countries and Regions COMPARATIVE EDUCATION REVIEW Loyalka, P., Zakharov, A., Kuzmina, Y. 2018; 62 (4): 542–64

  View details for DOI 10.1086/699672

  View details for Web of Science ID 000447999700005

• Assessing the Quality of Upper-Secondary Vocational Education and Training: Evidence from China COMPARATIVE EDUCATION REVIEW Yi, H., Li, G., Li, L., Loyalka, P., Zhang, L., Xu, J., Kardanova, E., Shi, H., Chu, J. 2018; 62 (2): 199–230

  View details for Web of Science ID 000430151000003

• Assessing college critical thinking: preliminary results from the Chinese HEIghten (R) Critical Thinking assessment HIGHER EDUCATION RESEARCH & DEVELOPMENT Liu, O., Shaw, A., Gu, L., Li, G., Hu, S., Yu, N., Ma, L., Xu, C., Guo, F., Su, Q., Kardanovaj, E., Chirikov, I., Shi, J., Shi, Z., Wang, H., Loyalka, P. 2018; 37 (5): 999–1014

  View details for DOI 10.1080/07294360.2018.1467381

  View details for Web of Science ID 000437339800008

• Ability tracking and social trust in China's rural secondary school system SCHOOL EFFECTIVENESS AND SCHOOL IMPROVEMENT Li, F., Loyalka, P., Yi, H., Shi, Y., Johnson, N., Rozelle, S. 2018; 29 (4): 545–72

  View details for DOI 10.1080/09243453.2018.1480498

  View details for Web of Science ID 000449356000003

• Validating the Use of Translated and Adapted HEIghten (R) Quantitative Literacy Test in Russia ASSESSMENT OF LEARNING OUTCOMES IN HIGHER EDUCATION: CROSS-NATIONAL COMPARISONS AND PERSPECTIVES Gu, L., Liu, O., Xu, J., Kardonova, E., Chirikov, I., Li, G., Hu, S., Yu, N., Ma, L., Guo, F., Su, Q., Shi, J., Shi, H., Loyalka, P., ZlatkinTroitschanskaia, O., Toepper, M., Pant, H. A., Lautenbach, C., Kuhn, C. 2018: 267–84

  View details for DOI 10.1007/978-3-319-74338-7_13

  View details for Web of Science ID 000441050900014

• The impact of conditional cash transfers on the matriculation of junior high school students into rural China's high schools JOURNAL OF DEVELOPMENT EFFECTIVENESS Li, F., Song, Y., Yi, H., Wei, J., Zhang, L., Shi, Y., Chu, J., Johnson, N., Loyalka, P., Rozelle, S. 2017; 9 (1): 41-60

  View details for DOI 10.1080/19439342.2016.1231701

  View details for Web of Science ID 000392506400003

• Inequalities in the Pathway to College in China: When Do Students from Poor Areas Fall Behind? CHINA QUARTERLY Loyalka, P., Chu, J., Wei, J., Johnson, N., Reniker, J. 2017; 229: 172-194

  View details for DOI 10.1017/S0305741016001594

  View details for Web of Science ID 000398534900009

• Sidestepping the Elephant in the Classroom: Using Culturally Localized Technology to Teach Around Taboos Sorcar, P., Strauber, B., Loyalka, P., Kumar, N., Goldman, S., ACM ASSOC COMPUTING MACHINERY. 2017: 2792–2804

  View details for DOI 10.1145/3025453.3025958

  View details for Web of Science ID 000426970502067

• China's Looming Human Capital Crisis: Upper Secondary Educational Attainment Rates and the Middle-income Trap CHINA QUARTERLY Khor, N., Pang, L., Liu, C., Chang, F., Mo, D., Loyalka, P., Rozelle, S. 2016; 228: 905-926

  View details for DOI 10.1017/S0305741016001119

  View details for Web of Science ID 000393109200003

• Does shadow education help students prepare for college? Evidence from Russia INTERNATIONAL JOURNAL OF EDUCATIONAL DEVELOPMENT Loyalka, P., Zakharov, A. 2016; 49: 22-30

  View details for DOI 10.1016/j.ijedudev.2016.01.008

  View details for Web of Science ID 000379637200004

• The Impact of Vocational Teachers on Student Learning in Developing Countries: Does Enterprise Experience Matter? COMPARATIVE EDUCATION REVIEW Johnston, J., Loyalka, P., Chu, J., Song, Y., Yi, H., Huang, X. 2016; 60 (1): 131-150

  View details for Web of Science ID 000369717700006

• Developing instruments to assess and compare the quality of engineering education: the case of China and Russia ASSESSMENT & EVALUATION IN HIGHER EDUCATION Kardanova, E., Loyalka, P., Chirikov, I., Liu, L., Li, G., Wang, H., Enchikova, E., Shi, H., Johnson, N. 2016; 41 (5): 770-786

  View details for DOI 10.1080/02602938.2016.1162278

  View details for Web of Science ID 000377038800008

• The Impact of Vocational Schooling on Human Capital Development in Developing Countries: Evidence from China WORLD BANK ECONOMIC REVIEW Loyalka, P., Huang, X., Zhang, L., Wei, J., Yi, H., Song, Y., Shi, Y., Chu, J. 2016; 30 (1): 143-170

  View details for DOI 10.1093/wber/lhv050

  View details for Web of Science ID 000378175600006

• Dropping Out of Rural China's Secondary Schools: A Mixed-methods Analysis CHINA QUARTERLY Shi, Y., Zhang, L., Ma, Y., Yi, H., Liu, C., Johnson, N., Chu, J., Loyalka, P., Rozelle, S. 2015; 224: 1048-1069

  View details for DOI 10.1017/S0305741015001277

  View details for Web of Science ID 000366198200009

• The impact of teacher credentials on student achievement in China CHINA ECONOMIC REVIEW Chu, J. H., Loyalka, P., Chu, J., Qu, Q., Shi, Y., Li, G. 2015; 36: 14-24

  View details for DOI 10.1016/j.chieco.2015.08.006

  View details for Web of Science ID 000366342500002

• Exploring the dropout rates and causes of dropout in upper-secondary technical and vocational education and training (TVET) schools in China INTERNATIONAL JOURNAL OF EDUCATIONAL DEVELOPMENT Yi, H., Zhang, L., Yao, Y., Wang, A., Ma, Y., Shi, Y., Chu, J., Loyalka, P., Rozelle, S. 2015; 42: 115-123

  View details for DOI 10.1016/j.ijedudev.2015.04.009

  View details for Web of Science ID 000357144500013

• Unequal Access to College in China: How Far Have Poor, Rural Students Been Left Behind? CHINA QUARTERLY Li, H., Loyalka, P., Rozelle, S., Wu, B., Xie, J. 2015; 221: 185-207

  View details for DOI 10.1017/S0305741015000314

  View details for Web of Science ID 000351629400009

• The Impacts of Building Elite High Schools for Students from Disadvantaged Areas ECONOMIC DEVELOPMENT AND CULTURAL CHANGE Loyalka, P., Wei, J., Song, Y., Zhong, W., Chu, J. 2015; 63 (2): 393-422

  View details for DOI 10.1086/678992

  View details for Web of Science ID 000346349600006

• Factors affecting the quality of engineering education in the four largest emerging economies HIGHER EDUCATION Loyalka, P., Carnoy, M., Froumin, I., Dossani, R., Tilak, J. B., Yang, P. 2014; 68 (6): 977-1004

  View details for DOI 10.1007/s10734-014-9755-8

  View details for Web of Science ID 000346963500012

• Response to the Commentary "Reassessing Disparity in Access to Higher Education in Contemporary China" CHINA QUARTERLY Wang, X., Liu, C., Zhang, L., Shi, Y., Rozelle, S., Loyalka, P. 2014; 220: 1131-1135

  View details for DOI 10.1017/S0305741014001179

  View details for Web of Science ID 000346727400013

• The concept of public goods, the state, and higher education finance: a view from the BRICs HIGHER EDUCATION Carnoy, M., Froumin, I., Loyalka, P. K., Tilak, J. B. 2014; 68 (3): 359-378

  View details for DOI 10.1007/s10734-014-9717-1

  View details for Web of Science ID 000340607500003

• Which teaching practices improve student performance on high-stakes exams? Evidence from Russia INTERNATIONAL JOURNAL OF EDUCATIONAL DEVELOPMENT Zakharov, A., Carnoy, M., Loyalka, P. 2014; 36: 13-21

  View details for DOI 10.1016/j.ijedudev.2014.01.003

  View details for Web of Science ID 000335612200003

• Can information and counseling help students from poor rural areas go to high school? Evidence from China JOURNAL OF COMPARATIVE ECONOMICS Loyalka, P., Liu, C., Song, Y., Yi, H., Huang, X., Wei, J., Zhang, L., Shi, Y., Chu, J., Rozelle, S. 2013; 41 (4): 1012-1025

  View details for DOI 10.1016/j.jce.2013.06.004

  View details for Web of Science ID 000327571000004

• Information, college decisions and financial aid: Evidence from a cluster-randomized controlled trial in China ECONOMICS OF EDUCATION REVIEW Loyalka, P., Song, Y., Wei, J., Zhong, W., Rozelle, S. 2013; 36: 26-40

  View details for DOI 10.1016/j.econedurev.2013.05.001

  View details for Web of Science ID 000325674200003

• University Expansion in the BRIC Countries and the Global Information Economy Change: The Magazine of Higher Learning Carnoy, M., Loyalka , P., Froumin , I. 2013: 36-43
• The distribution of financial aid in China: Is aid reaching poor students? CHINA ECONOMIC REVIEW Loyalka, P., Song, Y., Wei, J. 2012; 23 (4): 898-917

  View details for DOI 10.1016/j.chieco.2012.04.010

  View details for Web of Science ID 000311009500011

• The effects of attending selective college tiers in China SOCIAL SCIENCE RESEARCH Loyalka, P., Song, Y., Wei, J. 2012; 41 (2): 287-305

  Abstract

  We estimate the effects of attending the first versus second-tier of higher education institutions on Chinese students' at-college and expected post-college outcomes using various quasi-experimental methods such as regression discontinuity, genetic matching, and regression discontinuity controlling for covariates. Overall we find that just attending the first versus second-tier makes little difference in terms of students' class ranking, net tuition, expected wages, or likelihood of applying for graduate school. The results do show, however, that just attending the first versus second tier makes it less likely that students will get their preferred major choice.

  View details for DOI 10.1016/j.ssresearch.2011.11.015

  View details for Web of Science ID 000300523400007

  View details for PubMedID 23017752

• The effect of primary school mergers on academic performance of students in rural China INTERNATIONAL JOURNAL OF EDUCATIONAL DEVELOPMENT Liu, C., Zhang, L., Luo, R., Rozelle, S., Loyalka, P. 2010; 30 (6): 570-585

  View details for DOI 10.1016/j.ijedudev.2010.05.003

  View details for Web of Science ID 000281173300005