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Nikolas Mittag

Personal Details

First Name:Nikolas
Middle Name:
Last Name:Mittag
Suffix:
RePEc Short-ID:pmi568
[This author has chosen not to make the email address public]
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/
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," AEI Economics Working Papers 862403, American Enterprise Institute.
  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.

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," AEI Economics Working Papers 862403, American Enterprise Institute.

    Cited by:

    1. 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.
    2. Daniel I. Tannenbaum, 2020. "The Effect of Child Support on Selection into Marriage and Fertility," Journal of Labor Economics, University of Chicago Press, vol. 38(2), pages 611-652.
    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. Mittag, Nikolas, 2016. "Correcting for Misreporting of Government Benefits," IZA Discussion Papers 10266, Institute of Labor Economics (IZA).
    5. Parolin, Zachary, 2019. "The Effect of Benefit Underreporting on Estimates of Poverty in the United States," SocArXiv 6vmws, Center for Open Science.
    6. 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.
    7. Elvire Guillaud & Matthew Olckers & Michaël Zemmour, 2020. "Four Levers of Redistribution: The Impact of Tax and Transfer Systems on Inequality Reduction," PSE-Ecole d'économie de Paris (Postprint) hal-02735358, HAL.
    8. Kerstin Bruckmeier & Regina T. Riphahn & Jürgen Wiemers, 2021. "Misreporting of program take-up in survey data and its consequences for measuring non-take-up: new evidence from linked administrative and survey data," Empirical Economics, Springer, vol. 61(3), pages 1567-1616, September.
    9. Randall Akee & Maggie R. Jones & Sonya R. Porter, 2019. "Race Matters: Income Shares, Income Inequality, and Income Mobility for All U.S. Races," Demography, Springer;Population Association of America (PAA), vol. 56(3), pages 999-1021, June.
    10. 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 for Environmental Economics and World Trade, Project TVSEP.
    11. Amy O’Hara & Rachel M. Shattuck & Robert M. Goerge, 2017. "Linking Federal Surveys with Administrative Data to Improve Research on Families," The ANNALS of the American Academy of Political and Social Science, , vol. 669(1), pages 63-74, January.
    12. Meyer, Bruce D. & Mittag, Nikolas, 2019. "Combining Administrative and Survey Data to Improve Income Measurement," IZA Discussion Papers 12266, Institute of Labor Economics (IZA).
    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. Andrea Neri & Concetta Rondinelli & Filippo Scoccianti, 2017. "Household spending out of a tax rebate: Italian ��80 tax bonus�," Questioni di Economia e Finanza (Occasional Papers) 379, Bank of Italy, Economic Research and International Relations Area.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. Vitor Possebom, 2021. "Crime and Mismeasured Punishment: Marginal Treatment Effect with Misclassification," Papers 2106.00536, arXiv.org, revised Jul 2023.
    24. 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.
    25. 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.
    26. Bruce D. Meyer & James X. Sullivan, 2017. "Consumption and income inequality in the US since the 1960s," AEI Economics Working Papers 953873, American Enterprise Institute.
    27. Pablo A. Celhay & Bruce D. Meyer & Nikolas Mittag, 2022. "What Leads to Measurement Errors? Evidence from Reports of Program Participation in Three Surveys," NBER Working Papers 29652, National Bureau of Economic Research, Inc.
    28. Colin Gray, 2018. "Why Leave Benefits on the Table? Evidence from SNAP," Upjohn Working Papers 18-288, W.E. Upjohn Institute for Employment Research.
    29. 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.
    30. 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.
    31. Nikolas Mittag, 2019. "Correcting for Misreporting of Government Benefits," American Economic Journal: Economic Policy, American Economic Association, vol. 11(2), pages 142-164, May.
    32. 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.
    33. 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.
    34. 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).
    35. Angela Rachidi & Shijie Jin, 2017. "The reach of the cash-based safety net for poor families with children in America," AEI Economic Perspectives, American Enterprise Institute, February.
    36. 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.
    37. Michele Lalla & Maddalena Cavicchioli, 2020. "Nonresponse and measurement errors in income: matching individual survey data with administrative tax data," Department of Economics 0170, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    38. Ceriani, Lidia & Hlasny, Vladimir & Verme, Paolo, 2021. "Bottom Incomes and the Measurement of Poverty: A Brief Assessment of the Literature," GLO Discussion Paper Series 914, Global Labor Organization (GLO).
    39. Fisher, Paul, 2016. "Does repeated measurement improve income data quality?," ISER Working Paper Series 2016-11, Institute for Social and Economic Research.
    40. 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.
    41. 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.
    42. Hilary W. Hoynes & Diane Whitmore Schanzenbach, 2018. "Safety Nets Investments in Children," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 49(1 (Spring), pages 89-150.
    43. Parolin, Zachary & Brady, David, 2018. "Extreme Child Poverty and the Role of Social Policy in the United States," SocArXiv u5ecn, Center for Open Science.
    44. 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.
    45. 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.
    46. 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.
    47. Bedük, Selçuk, 2018. "Identifying people in poverty: a multidimensional deprivation measure for the EU," SocArXiv 7prxq, Center for Open Science.
    48. 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.
    49. 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.
    50. Watson, C. Luke, 2021. "the General Equilibrium Incidence of the Earned Income Tax Credit," SocArXiv 8n3ag, Center for Open Science.
    51. 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.
    52. Cullen,Claire Alexis, 2020. "Method Matters : Underreporting of Intimate Partner Violence in Nigeria and Rwanda," Policy Research Working Paper Series 9274, The World Bank.
    53. 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.
    54. Gray, Colin, 2019. "Leaving benefits on the table: Evidence from SNAP," Journal of Public Economics, Elsevier, vol. 179(C).
    55. Bruce D. Meyer & Wallace K. C. Mok & James X. Sullivan, 2015. "Household Surveys in Crisis," Journal of Economic Perspectives, American Economic Association, vol. 29(4), pages 199-226, Fall.
    56. 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.
    57. Filauro, Stefano & Parolin, Zachary, 2018. "Income Inequality in the European Union & United States: A Comparative Decomposition," SocArXiv g4cd3, Center for Open Science.
    58. Bastian, Jacob E. & Jones, Maggie R., 2021. "Do EITC expansions pay for themselves? Effects on tax revenue and government transfers," Journal of Public Economics, Elsevier, vol. 196(C).

  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. 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.
    2. Dynarski, Susan & Jacob, Brian A. & Kreisman, Daniel, 2018. "How Important Are Fixed Effects and Time Trends in Estimating Returns to Schooling? Evidence from a Replication of Jacobson, Lalonde and Sullivan, 2005," IZA Discussion Papers 11935, Institute of Labor Economics (IZA).
    3. Frings, Hanna & Kamb, Rebecca, 2021. "What explains the urban wage premium? Sorting, non-portable or portable agglomeration effects?," Ruhr Economic Papers 916, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    4. 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.
    5. Aquilante, Tommaso & Livio, Luca & Potoms, Tom, 2020. "On-the-job training and intra-family dynamics," Bank of England working papers 873, Bank of England.
    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. Charles Courtemanche & Augustine Denteh & Rusty Tchernis, 2018. "Estimating the Associations between SNAP and Food Insecurity, Obesity, and Food Purchases with Imperfect Administrative Measures of Participation," Working Papers 2018-018, Human Capital and Economic Opportunity Working Group.
    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," Upjohn Working Papers 15-242, W.E. Upjohn Institute for Employment Research.
    3. 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. 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.
    2. Mittag, Nikolas, 2016. "Correcting for Misreporting of Government Benefits," IZA Discussion Papers 10266, Institute of Labor Economics (IZA).
    3. 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.
    4. Samuel Bazzi & Lisa Cameron & Simone G. Schaner & Firman Witoelar, 2021. "Information, Intermediaries, and International Migration," NBER Working Papers 29588, National Bureau of Economic Research, Inc.
    5. 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," Upjohn Working Papers 15-242, W.E. Upjohn Institute for Employment Research.
    6. Jorge González Chapela, 2022. "A Binary Choice Model with Sample Selection and Covariate-Related Misclassification," Econometrics, MDPI, vol. 10(2), pages 1-20, March.
    7. Yokoo, Hide-Fumi & 横尾, 英史 & Arimura, Toshi H. & 有村, 俊秀 & Chattopadhyay, Mriduchhanda & Katayama, Hajime & 片山, 東, 2021. "Subjective risk belief function in the field: Evidence from cooking fuel choices and health in India," Discussion Papers 2021-03, Graduate School of Economics, Hitotsubashi University.
    8. Kerstin Bruckmeier & Regina T. Riphahn & Jürgen Wiemers, 2021. "Misreporting of program take-up in survey data and its consequences for measuring non-take-up: new evidence from linked administrative and survey data," Empirical Economics, Springer, vol. 61(3), pages 1567-1616, September.
    9. Vladimir Hlasny & Paolo Verme, 2022. "The Impact of Top Incomes Biases on the Measurement of Inequality in the United States," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(4), pages 749-788, August.
    10. 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.
    11. 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].
    12. Zhang, Han, 2021. "How Using Machine Learning Classification as a Variable in Regression Leads to Attenuation Bias and What to Do About It," SocArXiv 453jk, Center for Open Science.
    13. Jordan W. Jones & Charles J. Courtemanche & Augustine Denteh & James Marton & Rusty Tchernis, 2021. "Do State SNAP Policies Influence Program Participation among Seniors?," NBER Working Papers 29037, National Bureau of Economic Research, Inc.
    14. Robert Paul Hartley & Carlos Lamarche & James P. Ziliak, 2022. "Welfare Reform and the Intergenerational Transmission of Dependence," Journal of Political Economy, University of Chicago Press, vol. 130(3), pages 523-565.
    15. Jones, Jordan W. & Marton, James & Courtemanche, Charles & Tchernis, Rusty & Denteh, Augustine, 2021. "Policy Determinants of Senior SNAP Participation," 2021 Annual Meeting, August 1-3, Austin, Texas 313925, Agricultural and Applied Economics Association.
    16. 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).
    17. 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.
    18. Andreas Ferrara & Price Fishback, 2024. "Discrimination, Migration, and Economic Outcomes: Evidence from World War I," The Review of Economics and Statistics, MIT Press, vol. 106(5), pages 1201-1219, September.

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

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Rankings

This author is among the top 5% authors according to these criteria:
  1. Number of Abstract Views in RePEc Services over the past 12 months, Weighted by Number of Authors

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

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