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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/

: (702) 895-3776
(702) 895-1354

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. 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.
  2. 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.
  3. McDonough, Ian K. & Millimet, Daniel L., 2017. "Missing data, imputation, and endogeneity," Journal of Econometrics, Elsevier, vol. 199(2), pages 141-155.
  4. 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.
  5. 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.
  6. 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.
  7. 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. 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, Open Access Journal, 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. 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. Thiel, Hendrik & Thomsen, Stephan L., 2015. "Individual Poverty Paths and the Stability of Control-Perception," IZA Discussion Papers 9334, Institute of Labor Economics (IZA).
    3. 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.
    4. Vivek Ghosal & Andreas Stephan & Jan F. Weiss, 2018. "Decentralized Environmental Regulations and Plant-Level Productivity," CESifo Working Paper Series 7255, CESifo Group Munich.
    5. Sasaki, Yuya & Xin, Yi, 2017. "Unequal spacing in dynamic panel data: Identification and estimation," Journal of Econometrics, Elsevier, vol. 196(2), pages 320-330.
    6. 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.
    7. 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.
    8. Dizioli, Allan & Pinheiro, Roberto B., 2012. "Health insurance as a productive factor," MPRA Paper 39743, University Library of Munich, Germany.

Articles

  1. 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.
  2. 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.
  3. 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. 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.
    2. 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.
    3. 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.
    4. Cohen, Gail & Jalles, Joao Tovar & Loungani, Prakash & Marto, Ricardo, 2018. "The long-run decoupling of emissions and output: Evidence from the largest emitters," Energy Policy, Elsevier, vol. 118(C), pages 58-68.
    5. 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.
    6. Xu, Tao, 2018. "Investigating Environmental Kuznets Curve in China–Aggregation bias and policy implications," Energy Policy, Elsevier, vol. 114(C), pages 315-322.
    7. 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.

  4. 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. Azam, Mehtabul, 2016. "Household Income Mobility in India: 1993-2011," IZA Discussion Papers 10308, Institute of Labor Economics (IZA).
    2. 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

Research fields, statistics, top rankings, if available.

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. Author is listed
  2. NEP-AGR: Agricultural Economics (1) 2015-06-27. Author is listed
  3. NEP-ETS: Econometric Time Series (1) 2013-05-11. Author is listed

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