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Ian K. McDonough

Personal Details

First Name:Ian
Middle Name:K.
Last Name:McDonough
Suffix:
RePEc Short-ID:pmc252
https://faculty.unlv.edu/imcdonough/

Affiliation

Department of Economics
Lee School of Business
University of Nevada-Las Vegas

Las Vegas, Nevada (United States)
http://www.unlv.edu/economics/
RePEc:edi:denlvus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. McDonough, Ian K. & Millimet, Daniel L., 2016. "Missing Data, Imputation, and Endogeneity," IZA Discussion Papers 10402, Institute of Labor Economics (IZA).
  2. Millimet, Daniel L. & McDonough, Ian K. & Fomby, Thomas B., 2015. "Financial Literacy and Food Security in Extremely Vulnerable Households," IZA Discussion Papers 9103, Institute of Labor Economics (IZA).
  3. Millimet, Daniel L. & McDonough, Ian K., 2013. "Dynamic Panel Data Models with Irregular Spacing: With Applications to Early Childhood Development," IZA Discussion Papers 7359, Institute of Labor Economics (IZA).

Articles

  1. Coulson, N. Edward & McCoy, Shawn J. & McDonough, Ian K., 2020. "Economic diversification and the resiliency hypothesis: Evidence from the impact of natural disasters on regional housing values," Regional Science and Urban Economics, Elsevier, vol. 85(C).
  2. HANS RAWHOUSER & CHRISTOPHER SUTTER & IAN McDONOUGH, 2020. "Venture Acceleration And Entrepreneurial Growth In Central America," Journal of Developmental Entrepreneurship (JDE), World Scientific Publishing Co. Pte. Ltd., vol. 25(04), pages 1-23, December.
  3. Shawn J. McCoy & Ian K. McDonough & Punarjit Roychowdhury, 2020. "The Impact of Terrorism on Social Capital: Evidence from the 2015 Charlie Hebdo Paris Shooting," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(3), pages 526-548, June.
  4. Ian K. McDonough & Manan Roy & Punarjit Roychowdhury, 2020. "Exploring the dynamics of racial food security gaps in the United States," Review of Economics of the Household, Springer, vol. 18(2), pages 387-412, June.
  5. Ian K McDonough & Daniel L Millimet, 2019. "Criminal Incarceration, Statutory Bans on Food Assistance, and Food Security in Extremely Vulnerable Households: Findings from a Partnership with the North Texas Food Bank," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 41(3), pages 351-369.
  6. Daniel L Millimet & Ian K McDonough & Thomas B Fomby, 2018. "Financial Capability and Food Security in Extremely Vulnerable Households," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(4), pages 1224-1249.
  7. Ian K. McDonough & Constant I. Tra, 2017. "The impact of computer-based tutorials on high school math proficiency," Empirical Economics, Springer, vol. 52(3), pages 1041-1063, May.
  8. McDonough, Ian K. & Millimet, Daniel L., 2017. "Missing data, imputation, and endogeneity," Journal of Econometrics, Elsevier, vol. 199(2), pages 141-155.
  9. Daniel L. Millimet & Ian K. McDonough, 2017. "Dynamic Panel Data Models With Irregular Spacing: With an Application to Early Childhood Development," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(4), pages 725-743, June.
  10. Brown, Stephen P.A. & McDonough, Ian K., 2016. "Using the Environmental Kuznets Curve to evaluate energy policy: Some practical considerations," Energy Policy, Elsevier, vol. 98(C), pages 453-458.
  11. McDonough, Ian K., 2015. "Dynamics of the black–white gap in academic achievement," Economics of Education Review, Elsevier, vol. 47(C), pages 17-33.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. McDonough, Ian K. & Millimet, Daniel L., 2016. "Missing Data, Imputation, and Endogeneity," IZA Discussion Papers 10402, Institute of Labor Economics (IZA).

    Cited by:

    1. Maye Ehab, 2018. "The Commuting Gender Gap and Females’ Participation and Earnings in the Egyptian Labor Market," Working Papers 1211, Economic Research Forum, revised 21 Jun 2018.
    2. Andres, Antonio Rodriguez & Otero, Abraham & Amavilah, Voxi Heinrich, 2021. "Using Deep Learning Neural Networks to Predict the Knowledge Economy Index for Developing and Emerging Economies," MPRA Paper 109137, University Library of Munich, Germany.
    3. Minji Bang & Wayne Gao & Andrew Postlewaite & Holger Sieg, 2021. "Using Monotonicity Restrictions to Identify Models with Partially Latent Covariates," NBER Working Papers 28436, National Bureau of Economic Research, Inc.
    4. Cristina Bernini & Silvia Emili & Federica Galli, 2021. "Does urbanization matter in the expenditure‐happiness nexus?," Papers in Regional Science, Wiley Blackwell, vol. 100(6), pages 1403-1428, December.
    5. Gonzalo Villa‐Cox & Francesco Cavazza & Cristian Jordan & Mijail Arias‐Hidalgo & Paúl Herrera & Ramon Espinel & Davide Viaggi & Stijn Speelman, 2021. "Understanding constraints on private irrigation adoption decisions under uncertainty in data constrained settings: A novel empirical approach tested on Ecuadorian Cocoa cultivations," Agricultural Economics, International Association of Agricultural Economists, vol. 52(6), pages 985-999, November.
    6. Richard M. Golden & Steven S. Henley & Halbert White & T. Michael Kashner, 2019. "Consequences of Model Misspecification for Maximum Likelihood Estimation with Missing Data," Econometrics, MDPI, vol. 7(3), pages 1-27, September.

  2. Millimet, Daniel L. & McDonough, Ian K. & Fomby, Thomas B., 2015. "Financial Literacy and Food Security in Extremely Vulnerable Households," IZA Discussion Papers 9103, Institute of Labor Economics (IZA).

    Cited by:

    1. Craig Gundersen & David R. Just & Judith Bartfeld & J. Michael Collins, 2017. "Food Insecurity, Financial Shocks, and Financial Coping Strategies among Households with Elementary School Children in Wisconsin," Journal of Consumer Affairs, Wiley Blackwell, vol. 51(3), pages 519-548, November.
    2. Isaac Koomson & Renato A. Villano & David Hadley, 2023. "The role of financial literacy in households’ asset accumulation process: evidence from Ghana," Review of Economics of the Household, Springer, vol. 21(2), pages 591-614, June.
    3. Payne, Hannah E. & Gray, Bobbi & Davis, Siena F. & Hine, Cassidy A. & Das, Arindam & Kabra, Manisha & Crookston, Benjamin T., 2016. "Factors associated with food insecurity among women and children in rural Rajasthan, India," Journal of Gender, Agriculture and Food Security (Agri-Gender), Africa Centre for Gender, Social Research and Impact Assessment, vol. 1(3), pages 1-17.

  3. Millimet, Daniel L. & McDonough, Ian K., 2013. "Dynamic Panel Data Models with Irregular Spacing: With Applications to Early Childhood Development," IZA Discussion Papers 7359, Institute of Labor Economics (IZA).

    Cited by:

    1. Bernard Fortin & Myra Yazbeck, 2011. "Peer Effects, Fast Food Consumption and Adolescent Weight Gain," CIRANO Working Papers 2011s-20, CIRANO.
    2. Zhang, Xiaoge & Chen, Maolong, 2023. "Indirect inference approach to estimating dynamic panel data models with irregular spacing," Economics Letters, Elsevier, vol. 226(C).
    3. Thiel, Hendrik & Thomsen, Stephan L., 2015. "Individual Poverty Paths and the Stability of Control-Perception," IZA Discussion Papers 9334, Institute of Labor Economics (IZA).
    4. Pavlik, Jamie Bologna & Young, Andrew T., 2019. "Did technology transfer more rapidly East–West than North–South?," European Economic Review, Elsevier, vol. 119(C), pages 216-235.
    5. Vivek Ghosal & Andreas Stephan & Jan F. Weiss, 2018. "Decentralized Environmental Regulations and Plant-Level Productivity," CESifo Working Paper Series 7255, CESifo.
    6. Luisa Corrado & Roberta Distante & Majlinda Joxhe, 2019. "Body mass index and social interactions from adolescence to adulthood," Spatial Economic Analysis, Taylor & Francis Journals, vol. 14(4), pages 425-445, October.
    7. Sasaki, Yuya & Xin, Yi, 2017. "Unequal spacing in dynamic panel data: Identification and estimation," Journal of Econometrics, Elsevier, vol. 196(2), pages 320-330.
    8. Ignace De Vos & Gerdie Everaert & Ilse Ruyssen, 2015. "Bootstrap-Based Bias Correction And Inference For Dynamic Panels With Fixed Effects," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 15/906, Ghent University, Faculty of Economics and Business Administration.
    9. Owen Davis & Siavash Radpour, 2021. "Dissecting the Pandemic Retirement Surge," SCEPA publication series. 2021-05, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
    10. Christian Aßmann & Marcel Preising, 2020. "Bayesian estimation and model comparison for linear dynamic panel models with missing values," Australian & New Zealand Journal of Statistics, Australian Statistical Publishing Association Inc., vol. 62(4), pages 536-557, December.
    11. Lynda Khalaf & Maral Kichian & Charles Saunders & Marcel Voia, 2021. "Dynamic panels with MIDAS covariates: Nonlinearity, estimation and fit," Post-Print hal-03528880, HAL.
    12. Cobb-Clark Deborah A. & Harmon Colm & Staneva Anita, 2021. "The bilingual gap in children's language, emotional, and pro-social development," IZA Journal of Labor Economics, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 10(1), pages 1-41, January.
    13. Fiona Steele & Emily Grundy, 2021. "Random effects dynamic panel models for unequally spaced multivariate categorical repeated measures: an application to child–parent exchanges of support," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(1), pages 3-23, January.
    14. Hamza Bennani & Matthias Neuenkirch, 2014. "The (Home) Bias of European Central Bankers: New Evidence Based on Speeches," Research Papers in Economics 2014-16, University of Trier, Department of Economics.
    15. Steele, Fiona & Grundy, Emily, 2021. "Random effects dynamic panel models for unequally-spaced multivariate categorical repeated measures: an application to child-parent exchanges of support," LSE Research Online Documents on Economics 106255, London School of Economics and Political Science, LSE Library.
    16. Amare, Mulubrhan & Parvathi, Priyanka & Nguyen, Trung Thanh, 2022. "Micro insights on the pathways to agricultural transformation: Comparative evidence from Southeast Asia and Sub-Saharan Africa," IFPRI discussion papers 2165, International Food Policy Research Institute (IFPRI).
    17. Badi Baltagi & Long Liu, 2020. "Forecasting with Unbalanced Panel Data," Center for Policy Research Working Papers 221, Center for Policy Research, Maxwell School, Syracuse University.
    18. Chen, Maolong & Myers, Robert J. & Hu, Chaoran, 2020. "Estimating dynamic binary choice models using irregularly spaced panel data," Economics Letters, Elsevier, vol. 192(C).
    19. Dizioli, Allan & Pinheiro, Roberto B., 2012. "Health insurance as a productive factor," MPRA Paper 39743, University Library of Munich, Germany.
    20. Feridoon Koohi-Kamali & Amit Roy, 2021. "Environmental Shocks and Child Labor: A Panel Data Ethiopia & India," SCEPA working paper series. 2021-05, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.

Articles

  1. Coulson, N. Edward & McCoy, Shawn J. & McDonough, Ian K., 2020. "Economic diversification and the resiliency hypothesis: Evidence from the impact of natural disasters on regional housing values," Regional Science and Urban Economics, Elsevier, vol. 85(C).

    Cited by:

    1. Veronica Leoni & David Boto-Garc a, 2022. "The effect of natural disasters on tourism demand, supply and labour markets: Evidence from La Palma volcano eruption," Working Papers wp1177, Dipartimento Scienze Economiche, Universita' di Bologna.
    2. Meltzer, Rachel & Ellen, Ingrid Gould & Li, Xiaodi, 2021. "Localized commercial effects from natural disasters: The case of Hurricane Sandy and New York City," Regional Science and Urban Economics, Elsevier, vol. 86(C).
    3. Raphaelle G. Coulombe & Akhil Rao, 2023. "Fires and Local Labor Markets," Papers 2308.02739, arXiv.org.
    4. Mark Partridge & Seung‐hun Chung & Sydney Schreiner Wertz, 2022. "Lessons from the 2020 Covid recession for understanding regional resilience," Journal of Regional Science, Wiley Blackwell, vol. 62(4), pages 1006-1031, September.
    5. Hasan Engin Duran & Ugo Fratesi, 2023. "Economic resilience and regionally differentiated cycles: Evidence from a turning point approach in Italy," Papers in Regional Science, Wiley Blackwell, vol. 102(2), pages 219-252, April.

  2. HANS RAWHOUSER & CHRISTOPHER SUTTER & IAN McDONOUGH, 2020. "Venture Acceleration And Entrepreneurial Growth In Central America," Journal of Developmental Entrepreneurship (JDE), World Scientific Publishing Co. Pte. Ltd., vol. 25(04), pages 1-23, December.

    Cited by:

    1. Lenz, Anna-Katharina & Sutter, Christopher & Goldszmidt, Rafael & Zucco, Cesar, 2021. "Venture distress and problemistic search among entrepreneurs in Brazilian favelas," Journal of Business Venturing, Elsevier, vol. 36(6).

  3. Shawn J. McCoy & Ian K. McDonough & Punarjit Roychowdhury, 2020. "The Impact of Terrorism on Social Capital: Evidence from the 2015 Charlie Hebdo Paris Shooting," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(3), pages 526-548, June.

    Cited by:

    1. Elisa Borghi & Michela Braga & Francesco Scervini, 2020. "Fear of the dark: How terrorist events affect trust in the long run," BAFFI CAREFIN Working Papers 20149, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    2. Tyler Smith & Tom Coupé, 2020. "The Mental Health Cost of Terrorism: A Replication of Kim and Albert Kim (Health Economics, 2018)," Working Papers in Economics 20/21, University of Canterbury, Department of Economics and Finance.
    3. Roychowdhury, Punarjit, 2021. "Too unwell to trust? The effect of mental health on social trust in Europe," Economics & Human Biology, Elsevier, vol. 42(C).
    4. Xindong Xue & W. Robert Reed, 2019. "Social Capital and Health: A Meta-Analysis," Working Papers in Economics 19/01, University of Canterbury, Department of Economics and Finance.
    5. Smith, Tyler & Coupé, Tom, 2021. "The Mental Health Cost of Terrorism. A Replication Study of Kim and Albert Kim (Health Economics, 2018)," International Journal for Re-Views in Empirical Economics (IREE), ZBW - Leibniz Information Centre for Economics, vol. 5(2021-1), pages 1-11.
    6. Timothy Wilson & Ilan Noy, 2023. "Fifty years of peril: A comprehensive comparison of the impact of terrorism and disasters linked to natural hazards (1970–2019)," Global Policy, London School of Economics and Political Science, vol. 14(5), pages 647-662, November.

  4. Ian K McDonough & Daniel L Millimet, 2019. "Criminal Incarceration, Statutory Bans on Food Assistance, and Food Security in Extremely Vulnerable Households: Findings from a Partnership with the North Texas Food Bank," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 41(3), pages 351-369.

    Cited by:

    1. Stacy Dickert‐Conlin & Katie Fitzpatrick & Brian Stacy & Laura Tiehen, 2021. "The Downs and Ups of the SNAP Caseload: What Matters?," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(3), pages 1026-1050, September.
    2. Byrne, Anne T. & Just, David R., 2022. "Review: Private food assistance in high income countries: A guide for practitioners, policymakers, and researchers," Food Policy, Elsevier, vol. 111(C).

  5. Daniel L Millimet & Ian K McDonough & Thomas B Fomby, 2018. "Financial Capability and Food Security in Extremely Vulnerable Households," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(4), pages 1224-1249.

    Cited by:

    1. Keqiang Wang & Jianglin Lu & Hongmei Liu & Xin Fan & Lina Zhang & Silu Zhang, 2023. "A Study on Accounting for Suburban Agricultural Land Rent in a Chinese Context Based on Agricultural Ecological Value and Landscape Value," Land, MDPI, vol. 12(12), pages 1-22, December.
    2. Seung Jin Cho & Brent Kreider & John V. Winters, 2023. "Resource booms, state economic conditions, and child food security," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(3), pages 1734-1752, September.
    3. Sunjin Ahn & Travis A. Smith & F. Bailey Norwood, 2020. "Can Internet Surveys Mimic Food Insecurity Rates Published by the US Government?," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(2), pages 187-204, June.
    4. Coleman-Jensen, Alisha & Rabbitt, Matthew & Gregory, Christian & Singh, Anita, 2022. "Household Food Security in the United States in 2021," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, vol. 2022(Economic ), September.
    5. Ian K. McDonough & Manan Roy & Punarjit Roychowdhury, 2020. "Exploring the dynamics of racial food security gaps in the United States," Review of Economics of the Household, Springer, vol. 18(2), pages 387-412, June.
    6. Julie Birkenmaier & David Rothwell & Mary Agar, 2022. "How is Consumer Financial Capability Measured?," Journal of Family and Economic Issues, Springer, vol. 43(4), pages 654-666, December.
    7. Kaipeng Wang & Nicholas J. Bishop, 2019. "Social support and monetary resources as protective factors against food insecurity among older Americans: findings from a health and retirement study," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(4), pages 929-939, August.
    8. Ian K McDonough & Daniel L Millimet, 2019. "Criminal Incarceration, Statutory Bans on Food Assistance, and Food Security in Extremely Vulnerable Households: Findings from a Partnership with the North Texas Food Bank," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 41(3), pages 351-369.
    9. Zoungrana, Amelie, 2022. "Income diversification and food security:evidence from Burkina Faso," MPRA Paper 112337, University Library of Munich, Germany.

  6. Ian K. McDonough & Constant I. Tra, 2017. "The impact of computer-based tutorials on high school math proficiency," Empirical Economics, Springer, vol. 52(3), pages 1041-1063, May.

    Cited by:

    1. Roychowdhury, Punarjit, 2021. "(Em)Powered by Science? Estimating the Relative Labor Market Returns to Majoring in Science in High School in India," Economics of Education Review, Elsevier, vol. 82(C).
    2. Roychowdhury, Punarjit, 2021. "Too unwell to trust? The effect of mental health on social trust in Europe," Economics & Human Biology, Elsevier, vol. 42(C).

  7. McDonough, Ian K. & Millimet, Daniel L., 2017. "Missing data, imputation, and endogeneity," Journal of Econometrics, Elsevier, vol. 199(2), pages 141-155.
    See citations under working paper version above.
  8. Daniel L. Millimet & Ian K. McDonough, 2017. "Dynamic Panel Data Models With Irregular Spacing: With an Application to Early Childhood Development," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(4), pages 725-743, June.
    See citations under working paper version above.
  9. Brown, Stephen P.A. & McDonough, Ian K., 2016. "Using the Environmental Kuznets Curve to evaluate energy policy: Some practical considerations," Energy Policy, Elsevier, vol. 98(C), pages 453-458.

    Cited by:

    1. Mohammad Mafizur Rahman & Xuan-Binh (Benjamin) Vu, 2021. "Are Energy Consumption, Population Density and Exports Causing Environmental Damage in China? Autoregressive Distributed Lag and Vector Error Correction Model Approaches," Sustainability, MDPI, vol. 13(7), pages 1-19, March.
    2. Zepan Li & Zhangwei Lu & Lihua Xu & Yijun Shi & Qiwei Ma & Yaqi Wu & Yu Cao & Boyuan Sheng, 2023. "Examining the Decoupling of Economic Growth with Land Expansion and Carbon Emissions in Zhejiang Province, China," Land, MDPI, vol. 12(8), pages 1-21, August.
    3. Álvarez-Herránz, Agustín & Balsalobre, Daniel & Cantos, José María & Shahbaz, Muhammad, 2017. "Energy Innovations-GHG Emissions Nexus: Fresh Empirical Evidence from OECD Countries," Energy Policy, Elsevier, vol. 101(C), pages 90-100.
    4. Wang, Wencheng & Ning, Zinan & Shu, Yang & Riti, Joshua Sunday & Riti, Miriam-Kamah J., 2023. "Natural resource rents and public debts nexus in African resource-rich and most indebted nations: Issues with aggregation bias," Resources Policy, Elsevier, vol. 82(C).
    5. Riti, Joshua Sunday & Shu, Yang & Riti, Miriam-Kamah J., 2022. "Geopolitical risk and environmental degradation in BRICS: Aggregation bias and policy inference," Energy Policy, Elsevier, vol. 166(C).
    6. Shahbaz, Muhammad, 2019. "Globalization-Emissions Nexus: Testing the EKC hypothesis in Next-11 Countries," MPRA Paper 93959, University Library of Munich, Germany, revised 13 May 2019.
    7. Moutinho, Victor & Varum, Celeste & Madaleno, Mara, 2017. "How economic growth affects emissions? An investigation of the environmental Kuznets curve in Portuguese and Spanish economic activity sectors," Energy Policy, Elsevier, vol. 106(C), pages 326-344.
    8. Gail Cohen & João Tovar Jalles & Mr. Prakash Loungani & Ricardo Marto, 2018. "The Long-Run Decoupling of Emissions and Output: Evidence from the Largest Emitters," IMF Working Papers 2018/056, International Monetary Fund.
    9. Vélez-Henao, Johan-Andrés & Font Vivanco, David & Hernández-Riveros, Jesús-Antonio, 2019. "Technological change and the rebound effect in the STIRPAT model: A critical view," Energy Policy, Elsevier, vol. 129(C), pages 1372-1381.
    10. Muhammad Shahbaz, 2022. "Globalization–Emissions Nexus: Testing the EKC Hypothesis in Next-11 Countries," Global Business Review, International Management Institute, vol. 23(1), pages 75-100, February.
    11. Xu, Tao, 2018. "Investigating Environmental Kuznets Curve in China–Aggregation bias and policy implications," Energy Policy, Elsevier, vol. 114(C), pages 315-322.
    12. Wang, Zhaohua & Danish, & Zhang, Bin & Wang, Bo, 2018. "The moderating role of corruption between economic growth and CO2 emissions: Evidence from BRICS economies," Energy, Elsevier, vol. 148(C), pages 506-513.

  10. McDonough, Ian K., 2015. "Dynamics of the black–white gap in academic achievement," Economics of Education Review, Elsevier, vol. 47(C), pages 17-33.

    Cited by:

    1. Ian K. McDonough & Punarjit Roychowdhury & Gaurav Dhamija, 2021. "Measuring the Dynamics of the Achievement Gap Between Public and Private School Students During Early Life in India," Journal of Labor Research, Springer, vol. 42(1), pages 78-122, March.
    2. Azam, Mehtabul, 2016. "Household Income Mobility in India: 1993-2011," IZA Discussion Papers 10308, Institute of Labor Economics (IZA).
    3. Kevin P. Mongeon & Shawn W. Ulrick & Michael P. Giannetto, 2017. "Explaining university course grade gaps," Empirical Economics, Springer, vol. 52(1), pages 411-446, February.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (2) 2013-05-11 2017-01-08
  2. NEP-AGR: Agricultural Economics (1) 2015-06-27
  3. NEP-ETS: Econometric Time Series (1) 2013-05-11

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