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Nikolas Mittag

Personal Details

First Name:Nikolas
Middle Name:
Last Name:Mittag
Suffix:
RePEc Short-ID:pmi568
http://home.cerge-ei.cz/mittag

Affiliation

Center for Economic Research and Graduate Education and Economics Institute (CERGE-EI)

Praha, Czech Republic
http://www.cerge-ei.cz/

(+420) 224 005 123
(+420) 224 005 333
P.O. Box 882, Politickych veznu 7, 111 21 Praha 1
RePEc:edi:eiacacz (more details at EDIRC)

Research output

as
Jump to: Working papers Software

Working papers

  1. Bruce D. Meyer & Nikolas Mittag, 2015. "Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness and Holes in the Safety Net," NBER Working Papers 21676, National Bureau of Economic Research, Inc.
  2. Nikolas Mittag, 2015. "A Simple Method to Estimate Large Fixed Effects Models Applied to Wage Determinants and Matching," CERGE-EI Working Papers wp532, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
  3. Nikolas Mittag, 2013. "A Method Of Correcting For Misreporting Applied To The Food Stamp Program," Working Papers 13-28, Center for Economic Studies, U.S. Census Bureau.
  4. Bruce Meyer & Nikolas Mittag, 2013. "Misclassification In Binary Choice Models," Working Papers 13-27, Center for Economic Studies, U.S. Census Bureau.
  5. Mittag, Nikolas, 2012. "New methods to estimate models with large sets of fixed effects with an application to matched employer-employee data from Germany," FDZ Methodenreport 201201_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

Software components

  1. Nikolas Mittag, 2013. "CDREG: Stata module to estimate Linear Regression under Measurement Error using Auxiliary Information," Statistical Software Components S457660, Boston College Department of Economics.
  2. Nikolas Mittag, 2013. "MRPROBIT: Stata module to estimate probit with Misclassification of the Dependent Variable," Statistical Software Components S457657, Boston College Department of Economics.
  3. Nikolas Mittag, 2013. "CONDDENS: Stata module to estimate a conditional density to correct for measurement error and missing values," Statistical Software Components S457658, Boston College Department of Economics.
  4. Nikolas Mittag, 2013. "CDDENS: Stata module to estimate a Density under Measurement Error using Auxiliary Information," Statistical Software Components S457659, Boston College Department of Economics.
  5. Nikolas Mittag, 2012. "TWFE: Stata module to perform regressions with two-way fixed effects or match effects for large datasets," Statistical Software Components S457437, Boston College Department of Economics, revised 04 Apr 2012.

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Nikolas Mittag, 2013. "A Method Of Correcting For Misreporting Applied To The Food Stamp Program," Working Papers 13-28, Center for Economic Studies, U.S. Census Bureau.

    Mentioned in:

    1. Surveys in Crisis
      by noreply@blogger.com (Carola) in Quantitative Ease on 2015-08-01 00:31:00

Working papers

  1. Bruce D. Meyer & Nikolas Mittag, 2015. "Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness and Holes in the Safety Net," NBER Working Papers 21676, National Bureau of Economic Research, Inc.

    Cited by:

    1. Colin Gray, 2018. "Why Leave Benefits on the Table? Evidence from SNAP," Upjohn Working Papers and Journal Articles 18-288, W.E. Upjohn Institute for Employment Research.
    2. Kerstin Bruckmeier & Katrin Hohmeyer & Stefan Schwarz, 2018. "Welfare receipt misreporting in survey data and its consequences for state dependence estimates: new insights from linked administrative and survey data," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 52(1), pages 1-21, December.
    3. Yaohao Peng & Lucas Ferreira Mation, 2020. "The Challenge of Pairing Big Datasets: Probabilistic Record Linkage Methods and Diagnosis of Their Empirical Viability," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 16(1), pages 35-57, April.
    4. Parolin, Zachary, 2019. "Temporary Assistance for Needy Families and the Black-White Child Poverty Gap in the United States," OSF Preprints cv4wg, Center for Open Science.
    5. Zachary Parolin, 2018. "Race, Social Assistance & the Risk of Child Poverty across the 50 United States," Working Papers 1804, Herman Deleeck Centre for Social Policy, University of Antwerp.
    6. Bruce D. Meyer & Derek Wu, 2018. "The Poverty Reduction of Social Security and Means-Tested Transfers," NBER Working Papers 24567, National Bureau of Economic Research, Inc.
    7. Martin Rama, 2019. "Challenges in Measuring Poverty and Understanding its Dynamics: A South Asian Perspective," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(S1), pages 2-32, November.
    8. Zachary Parolin, 2017. "Applying Augmented Survey Data to Produce More Accurate, Precise, and Internationally Comparable Estimates of Poverty within the 50 United States," Working Papers 1709, Herman Deleeck Centre for Social Policy, University of Antwerp.
    9. Randall Akee & Maggie R. Jones & Sonya R. Porter, 2017. "Race Matters: Income Shares, Income Inequality, and Income Mobility for All U.S. Races," NBER Working Papers 23733, National Bureau of Economic Research, Inc.
    10. David Brady & Zachary Parolin, 2020. "The Levels and Trends in Deep and Extreme Poverty in the United States, 1993–2016," Demography, Springer;Population Association of America (PAA), vol. 57(6), pages 2337-2360, December.
    11. Mittag, Nikolas, 2016. "Correcting for Misreporting of Government Benefits," IZA Discussion Papers 10266, Institute of Labor Economics (IZA).
    12. Maira Colacce & Ivone Perazzo & Andrea Vigorito, 2020. "How accurately do mothers recall prenatal visits and gestational age? A validation of Uruguayan survey data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 43(51), pages 1495-1508.
    13. Parolin, Zachary, 2019. "The Effect of Benefit Underreporting on Estimates of Poverty in the United States," SocArXiv 6vmws, Center for Open Science.
    14. Zachary Parolin & Christiaan Luigjes, 2018. "Incentive to Retrench? Institutional Moral Hazard among Federal & State Social Assistance Programs after Welfare Reform," Working Papers 1802, Herman Deleeck Centre for Social Policy, University of Antwerp.
    15. Bedük, Selçuk, 2018. "Identifying people in poverty: a multidimensional deprivation measure for the EU," SocArXiv 7prxq, Center for Open Science.
    16. Margherita Borella & Mariacristina De Nardi & Eric French, 2016. "Who Receives Medicaid in Old Age? Rules and Reality," NBER Working Papers 21873, National Bureau of Economic Research, Inc.
    17. Nikolas Mittag, 2019. "Correcting for Misreporting of Government Benefits," American Economic Journal: Economic Policy, American Economic Association, vol. 11(2), pages 142-164, May.
    18. Bruce D. Meyer & James X. Sullivan, 2017. "Consumption and Income Inequality in the U.S. Since the 1960s," NBER Working Papers 23655, National Bureau of Economic Research, Inc.
    19. Jody Schimmel Hyde & Sarah Croake & Alex Bryce & Matt Messel, "undated". "Developing Income-Related Statistics on Federal Disability Beneficiaries Using Nationally Representative Survey Data," Mathematica Policy Research Reports d3e78f0fc4454593b6b8ea18d, Mathematica Policy Research.
    20. Tess Penne & Irene Cussó Parcerisas & Lauri Mäkinen & Bérénice Storms & Tim Goedemé, 2016. "Can reference budgets be used as a poverty line?," ImPRovE Working Papers 16/05, Herman Deleeck Centre for Social Policy, University of Antwerp.
    21. Watson, C. Luke, 2021. "the General Equilibrium Incidence of the Earned Income Tax Credit," SocArXiv 8n3ag, Center for Open Science.
    22. Zachary H. Seeskin, 2016. "Evaluating the Use of Commercial Data to Improve Survey Estimates of Property Taxes," CARRA Working Papers 2016-06, Center for Economic Studies, U.S. Census Bureau.
    23. Misty Heggeness & Marta Murray-Close, 2019. "Manning Up and Womaning Down: How Husbands and Wives Report Earnings When She Earns More," Opportunity and Inclusive Growth Institute Working Papers 28, Federal Reserve Bank of Minneapolis.
    24. Elvire Guillaud & Matthew Olckers & Michaël Zemmour, 2020. "Four Levers of Redistribution: The Impact of Tax and Transfer Systems on Inequality Reduction," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(2), pages 444-466, June.
    25. Randall Akee & Maggie R. Jones & Sonya R. Porter, 2017. "Racial Disparity in an Era of Increasing Income Inequality," CARRA Working Papers 2017-01, Center for Economic Studies, U.S. Census Bureau.
    26. Gaetano Basso & Giovanni Peri, 2020. "Internal Mobility: The Greater Responsiveness of Foreign-Born to Economic Conditions," Journal of Economic Perspectives, American Economic Association, vol. 34(3), pages 77-98, Summer.
    27. Christopher Wimer & Zachary Parolin & Anny Fenton & Liana Fox & Christopher Jencks, 2020. "The Direct Effect of Taxes and Transfers on Changes in the U.S. Income Distribution, 1967–2015," Demography, Springer;Population Association of America (PAA), vol. 57(5), pages 1833-1851, October.
    28. Katherine Michelmore & Susan Dynarski, 2016. "The Gap within the Gap: Using Longitudinal Data to Understand Income Differences in Student Achievement," NBER Working Papers 22474, National Bureau of Economic Research, Inc.
    29. Cullen,Claire Alexis, 2020. "Method Matters : Underreporting of Intimate Partner Violence in Nigeria and Rwanda," Policy Research Working Paper Series 9274, The World Bank.
    30. Renuka Bhaskar & Rachel M. Shattuck & James Noon, 2018. "Reporting of Indian Health Service Coverage in the American Community Survey," CARRA Working Papers 2018-04, Center for Economic Studies, U.S. Census Bureau.
    31. Meyer, Bruce D. & Mittag, Nikolas, 2018. "Misreporting of Government Transfers: How Important Are Survey Design and Geography?," IZA Discussion Papers 12038, Institute of Labor Economics (IZA).
    32. Bruce D. Meyer & Nikolas Mittag, 2019. "Combining Administrative and Survey Data to Improve Income Measurement," NBER Working Papers 25738, National Bureau of Economic Research, Inc.
    33. Gray, Colin, 2019. "Leaving benefits on the table: Evidence from SNAP," Journal of Public Economics, Elsevier, vol. 179(C).
    34. Rothwell, David W. & Weber, Bruce & Giordono, Leanne, 2019. "The Oregon Earned Income Credit’s Impact on Child Poverty," OSF Preprints h6w3g, Center for Open Science.
    35. Neri, Andrea & Rondinelli, Concetta & Scoccianti, Filippo, 2017. "Household spending out of a tax rebate: Italian “€80 tax bonus”," Working Paper Series 2099, European Central Bank.
    36. Mark Brooks & Rattiya S. Lippe & Hermann Waibel, 2020. "Comprehensive data quality studies as a component of poverty assessments," TVSEP Working Papers wp-019, Leibniz Universitaet Hannover, Institute of Development and Agricultural Economics, Project TVSEP.
    37. Hilary W. Hoynes & Diane Whitmore Schanzenbach, 2018. "Safety Net Investments in Children," NBER Working Papers 24594, National Bureau of Economic Research, Inc.
    38. Meyer, Bruce D. & Mittag, Nikolas, 2019. "Combining Administrative and Survey Data to Improve Income Measurement," IZA Discussion Papers 12266, Institute of Labor Economics (IZA).
    39. Ariel J. Binder & John Bound, 2019. "The Declining Labor Market Prospects of Less-Educated Men," NBER Working Papers 25577, National Bureau of Economic Research, Inc.
    40. Bruckmeier, Kerstin & Riphahn, Regina T. & Wiemers, Jürgen, 2019. "Benefit underreporting in survey data and its consequences for measuring non-take-up: new evidence from linked administrative and survey data," IAB Discussion Paper 201906, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    41. Joshua D. Gottlieb & Maria Polyakova & Kevin Rinz & Hugh Shiplett & Victoria Udalova, 2020. "Who Values Human Capitalists' Human Capital? Healthcare Spending and Physician Earnings," Working Papers 20-23, Center for Economic Studies, U.S. Census Bureau.
    42. Daniel I. Tannenbaum, 2019. "The effect of child support on selection into marriage and fertility," Working Papers 19-04, Center for Economic Studies, U.S. Census Bureau.
    43. Ariel J. Binder & John Bound, 2019. "The Declining Labor Market Prospects of Less-Educated Men," Journal of Economic Perspectives, American Economic Association, vol. 33(2), pages 163-190, Spring.
    44. James X. Sullivan, 2020. "A Cautionary Tale of Using Data From the Tail," Demography, Springer;Population Association of America (PAA), vol. 57(6), pages 2361-2368, December.
    45. Filauro, Stefano & Parolin, Zachary, 2018. "Income Inequality in the European Union & United States: A Comparative Decomposition," SocArXiv g4cd3, Center for Open Science.
    46. Parolin, Zachary & Brady, David, 2018. "Extreme Child Poverty and the Role of Social Policy in the United States," SocArXiv u5ecn, Center for Open Science.
    47. Francisco Parro & Loreto Reyes, 2017. "The rise and fall of income inequality in Chile," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 26(1), pages 1-31, December.
    48. Nancy Folbre & Marta Murray-Close & Jooyeoun Suh, 2018. "Equivalence scales for extended income in the U.S," Review of Economics of the Household, Springer, vol. 16(2), pages 189-227, June.

  2. Nikolas Mittag, 2015. "A Simple Method to Estimate Large Fixed Effects Models Applied to Wage Determinants and Matching," CERGE-EI Working Papers wp532, The Center for Economic Research and Graduate Education - Economics Institute, Prague.

    Cited by:

    1. Susan Dynarski & Brian Jacob & Daniel Kreisman, 2018. "How important are fixed effects and time trends in estimating returns to schooling? Evidence from a replication of Jacobson, Lalonde, and Sullivan, 2005," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(7), pages 1098-1108, November.
    2. Köllő, János & Boza, István & Balázsi, László, 2020. "Wage Gains from Foreign Ownership: Evidence from Linked Employer-Employee Data," IZA Discussion Papers 13040, Institute of Labor Economics (IZA).
    3. János Köllő & István Boza & László Balázsi, 2021. "Wage gains from foreign ownership: evidence from linked employer–employee data," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 55(1), pages 1-21, December.
    4. Aquilante, Tommaso & Livio, Luca & Potoms, Tom, 2020. "On-the-job training and intra-family dynamics," Bank of England working papers 873, Bank of England.
    5. Fehn, Rebecca & Frings, Hanna, 2018. "Decomposing the Returns to Regional Mobility," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181609, Verein für Socialpolitik / German Economic Association.
    6. Dmytro Vikhrov, 2017. "Immigration policy index," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 25(1), pages 3-46, January.
    7. Kory Kantenga, 2016. "Sorting and Wage Inequality," 2016 Meeting Papers 660, Society for Economic Dynamics.

  3. Nikolas Mittag, 2013. "A Method Of Correcting For Misreporting Applied To The Food Stamp Program," Working Papers 13-28, Center for Economic Studies, U.S. Census Bureau.

    Cited by:

    1. Bruce D. Meyer & Nikolas Mittag, 2015. "Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness and Holes in the Safety Net," Working Papers 15-35, Center for Economic Studies, U.S. Census Bureau.
    2. Cerf, Benjamin, 2017. "Within and Across County Variation in SNAP Misreporting: Evidence from Linked ACS and Administrative Records," OSF Preprints jaufh, Center for Open Science.

  4. Bruce Meyer & Nikolas Mittag, 2013. "Misclassification In Binary Choice Models," Working Papers 13-27, Center for Economic Studies, U.S. Census Bureau.

    Cited by:

    1. Yingyao Hu & Zhongjian Lin, 2018. "Misclassification and the hidden silent rivalry," CeMMAP working papers CWP12/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Bruce D. Meyer & Nikolas Mittag, 2015. "Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness and Holes in the Safety Net," Working Papers 15-35, Center for Economic Studies, U.S. Census Bureau.
    3. Lorenzo Almada & Ian McCarthy & Rusty Tchernis, 2016. "What Can We Learn about the Effects of Food Stamps on Obesity in the Presence of Misreporting?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 98(4), pages 997-1017.
    4. Meyer, Bruce D. & Mittag, Nikolas, 2017. "Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness and Holes in the Safety Net," IZA Discussion Papers 10943, Institute of Labor Economics (IZA).
    5. Mittag, Nikolas, 2016. "Correcting for Misreporting of Government Benefits," IZA Discussion Papers 10266, Institute of Labor Economics (IZA).
    6. Ijeoma P. Edoka, 2017. "Implications of Misclassification Errors in Empirical Studies of Adolescent Smoking Behaviours," Health Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 486-499, April.
    7. Brown, Sarah & Harris, Mark N. & Srivastava, Preety & Taylor, Karl, 2018. "Mental Health and Reporting Bias: Analysis of the GHQ-12," IZA Discussion Papers 11771, Institute of Labor Economics (IZA).
    8. Andreas Ferrara & Price V. Fishback, 2020. "Discrimination, Migration, and Economic Outcomes: Evidence from World War I," NBER Working Papers 26936, National Bureau of Economic Research, Inc.
    9. Giovanni Mastrobuoni & Pierre Rialland, 2020. "Partners in Crime: Evidence from Recidivating Inmates," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 6(2), pages 255-273, July.
    10. Vladimir Hlasny & Paolo Verme, 2017. "The impact of top incomes biases on the measurement of inequality in the United States," Working Papers 452, ECINEQ, Society for the Study of Economic Inequality.
    11. Hartley, Robert Paul & Lamarche, Carlos & Ziliak, James P., 2017. "Welfare Reform and the Intergenerational Transmission of Dependence," IZA Discussion Papers 10942, Institute of Labor Economics (IZA).
    12. Bruce Meyer & Nikolas Mittag, 2017. "Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness and Holes in the Safety Net," Working Papers 2017-075, Human Capital and Economic Opportunity Working Group.
    13. Bruckmeier, Kerstin & Riphahn, Regina T. & Wiemers, Jürgen, 2019. "Benefit underreporting in survey data and its consequences for measuring non-take-up: new evidence from linked administrative and survey data," IAB Discussion Paper 201906, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    14. Hide-Fumi Yokoo & Toshi H. Arimura & Mriduchhanda Chattopadhyay & Hajime Katayama, 2020. "Subjective risk belief function in the field: Evidence from cooking fuel choices and health in India," RIEEM Discussion Paper Series 2003, Research Institute for Environmental Economics and Management, Waseda University.

  5. Mittag, Nikolas, 2012. "New methods to estimate models with large sets of fixed effects with an application to matched employer-employee data from Germany," FDZ Methodenreport 201201_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

    Cited by:

    1. Joachim De Weerdt & Garance Genicot & Alice Mesnard, 2014. "Asymmetry of information within family networks," Working Papers of LICOS - Centre for Institutions and Economic Performance 503751, KU Leuven, Faculty of Economics and Business (FEB), LICOS - Centre for Institutions and Economic Performance.
    2. Araújo, Bruno César & Paz, Lourenço S., 2014. "The effects of exporting on wages: An evaluation using the 1999 Brazilian exchange rate devaluation," Journal of Development Economics, Elsevier, vol. 111(C), pages 1-16.
    3. Seth Gershenson, 2016. "Performance Standards and Employee Effort: Evidence From Teacher Absences," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 35(3), pages 615-638, June.
    4. Anand, Paul & Behrman, Jere R. & Dang, Hai-Anh H. & Jones, Sam, 2018. "Inequality of Opportunity in Education: Accounting for the Contributions of Sibs, Schools and Sorting across East Africa," GLO Discussion Paper Series 270, Global Labor Organization (GLO).
    5. Holt, Stephen B. & Papageorge, Nicholas W., 2016. "Who believes in me? The effect of student–teacher demographic match on teacher expectationsAuthor-Name: Gershenson, Seth," Economics of Education Review, Elsevier, vol. 52(C), pages 209-224.
    6. Seth Gershenson & Stephen B. Holt & Nicholas Papageorge, 2015. "Who Believes in Me? The Effect of Student-Teacher Demographic Match on Teacher Expectations," Upjohn Working Papers and Journal Articles 15-231, W.E. Upjohn Institute for Employment Research.
    7. Diana Lúcia Gonzaga Da Silva & Carlos R. Azzoni, 2018. "Location And Wages: The Contribution Of Firm And Worker Effects In Brazil," Anais do XLIV Encontro Nacional de Economia [Proceedings of the 44th Brazilian Economics Meeting] 163, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    8. Moczall, Andreas, 2015. "The effect of hiring subsidies on regular wages," IAB Discussion Paper 201501, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    9. Moczall, Andreas, 2015. "The effect of hiring subsidies on regular wages," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113225, Verein für Socialpolitik / German Economic Association.

Software components

  1. Nikolas Mittag, 2013. "MRPROBIT: Stata module to estimate probit with Misclassification of the Dependent Variable," Statistical Software Components S457657, Boston College Department of Economics.

    Cited by:

    1. Ijeoma P. Edoka, 2017. "Implications of Misclassification Errors in Empirical Studies of Adolescent Smoking Behaviours," Health Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 486-499, April.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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 4 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 (3) 2012-04-03 2013-06-04 2015-04-02. Author is listed
  2. NEP-AGR: Agricultural Economics (1) 2013-06-04. Author is listed
  3. NEP-DCM: Discrete Choice Models (1) 2013-06-04. Author is listed
  4. NEP-LAB: Labour Economics (1) 2015-04-02. Author is listed
  5. NEP-LMA: Labor Markets - Supply, Demand, & Wages (1) 2015-04-02. Author is listed

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