IDEAS home Printed from https://ideas.repec.org/f/pde890.html
   My authors  Follow this author

Michele De Nadai

Personal Details

First Name:Michele
Middle Name:
Last Name:De Nadai
Suffix:
RePEc Short-ID:pde890
[This author has chosen not to make the email address public]
https://sites.google.com/site/micheledenadaihomepage/
Via Conservatorio 7 - 20122 Milan, Italy

Affiliation

Dipartimento di Economia, Management e Metodi Quantitativi (DEMM)
Università degli Studi di Milano

Milano, Italy
http://www.demm.unimi.it/
RePEc:edi:damilit (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Battistin, Erich & De Nadai, Michele & Krishnan, Nandini, 2020. "The Insights and Illusions of Consumption Measurements," CEPR Discussion Papers 14730, C.E.P.R. Discussion Papers.
  2. Battistin, Erich & De Nadai, Michele & Vuri, Daniela, 2016. "Counting Rotten Apples: Student Achievement and Score Manipulation in Italian Elementary Schools," CEPR Discussion Papers 11667, C.E.P.R. Discussion Papers.
  3. Martina Celidoni & Michele De Nadai & Guglielmo Weber, 2016. "Consumption during the Great Recession in Italy," IFS Working Papers W16/10, Institute for Fiscal Studies.
  4. Padula, Mario & Battistin, Erich & De Nadai, Michele, 2014. "Roadblocks on the Road to Grandma's House: Fertility Consequences of Delayed Retirement," CEPR Discussion Papers 9945, C.E.P.R. Discussion Papers.
  5. Michele De Nadai & Arthur Lewbel, 2012. "Nonparametric Errors in Variables Models with Measurement Errors on both sides of the Equation," Boston College Working Papers in Economics 790, Boston College Department of Economics, revised 01 Jul 2013.
  6. Battistin, Erich & De Nadai, Michele & Sianesi, Barbara, 2012. "Misreported Schooling, Multiple Measures and Returns to Educational Qualifications," IZA Discussion Papers 6337, Institute of Labor Economics (IZA).

    repec:qmw:qmwecw:wp748 is not listed on IDEAS

Articles

  1. Battistin, Erich & De Nadai, Michele & Vuri, Daniela, 2017. "Counting rotten apples: Student achievement and score manipulation in Italian elementary Schools," Journal of Econometrics, Elsevier, vol. 200(2), pages 344-362.
  2. De Nadai, Michele & Lewbel, Arthur, 2016. "Nonparametric errors in variables models with measurement errors on both sides of the equation," Journal of Econometrics, Elsevier, vol. 191(1), pages 19-32.
  3. Erich Battistin & Michele De Nadai, 2015. "Identification and Estimation of Engel Curves with Endogenous and Unobserved Expenditures," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(3), pages 487-508, April.
  4. Battistin, Erich & De Nadai, Michele & Sianesi, Barbara, 2014. "Misreported schooling, multiple measures and returns to educational qualifications," Journal of Econometrics, Elsevier, vol. 181(2), pages 136-150.

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. Battistin, Erich & De Nadai, Michele & Krishnan, Nandini, 2020. "The Insights and Illusions of Consumption Measurements," CEPR Discussion Papers 14730, C.E.P.R. Discussion Papers.

    Cited by:

    1. Carlos Madeira, 2023. "The evolution of consumption inequality and riskinsurance in Chile," Working Papers Central Bank of Chile 973, Central Bank of Chile.
    2. Carlos Madeira, 2023. "Use of Financial Instruments among the Chilean households," Working Papers Central Bank of Chile 974, Central Bank of Chile.

  2. Battistin, Erich & De Nadai, Michele & Vuri, Daniela, 2016. "Counting Rotten Apples: Student Achievement and Score Manipulation in Italian Elementary Schools," CEPR Discussion Papers 11667, C.E.P.R. Discussion Papers.

    Cited by:

    1. Santiago Pereda Fernández, 2016. "A new method for the correction of test scores manipulation," Temi di discussione (Economic working papers) 1047, Bank of Italy, Economic Research and International Relations Area.
    2. Cavalieri, Marina & Finocchiaro Castro, Massimo & Guccio, Calogero, 2021. "Does the Fish Rot from the Head? Organised Crime and Educational Outcomes in Southern Italy," EconStor Preprints 228976, ZBW - Leibniz Information Centre for Economics.
    3. Bertoni, Marco & Brunello, Giorgio & De Benedetto, Marco Alberto & De Paola, Maria, 2019. "External Monitors and Score Manipulation in Italian Schools: Symptomatic Treatment or Cure?," IZA Discussion Papers 12591, Institute of Labor Economics (IZA).
    4. Veronica Minaya & Tommaso Agasisti, 2019. "Evaluating the Stability of School Performance Estimates over Time," Fiscal Studies, John Wiley & Sons, vol. 40(3), pages 401-425, September.
    5. Martin Gustafsson & Carol Nuga Deliwe, 2017. "Rotten apples or just apples and pears? Understanding patterns consistent with cheating in international test data," Working Papers 17/2017, Stellenbosch University, Department of Economics.
    6. Erich Battistin, 2016. "How manipulating test scores affects school accountability and student achievement," IZA World of Labor, Institute of Labor Economics (IZA), pages 295-295, September.
    7. Abhijeet Singh, 2024. "Improving Administrative Data at Scale: Experimental Evidence on Digital Testing in Indian Schools," The Economic Journal, Royal Economic Society, vol. 134(661), pages 2207-2223.
    8. Claudio Lucifora & Marco Tonello, 2016. "Monitoring and sanctioning cheating at school: What works? Evidence from a national evaluation program," DISCE - Working Papers del Dipartimento di Economia e Finanza def051, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    9. Cavalieri, Marina & Finocchiaro Castro, Massimo & Guccio, Calogero, 2023. "Organised crime and educational outcomes in Southern Italy: An empirical investigation," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    10. Joshua D. Angrist & Erich Battistin & Daniela Vuri, 2017. "In a Small Moment: Class Size and Moral Hazard in the Italian Mezzogiorno," American Economic Journal: Applied Economics, American Economic Association, vol. 9(4), pages 216-249, October.
    11. Berkhout, Emilie & Pradhan, Menno & Rahmawati, & Suryadarma, Daniel & Swarnata, Arya, 2024. "Using technology to prevent fraud in high stakes national school examinations: Evidence from Indonesia," Journal of Development Economics, Elsevier, vol. 170(C).
    12. Carmen Aina & Massimiliano Bratti & Enrico Lippo, 2021. "Ranking high schools using university student performance in Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(1), pages 293-321, April.

  3. Martina Celidoni & Michele De Nadai & Guglielmo Weber, 2016. "Consumption during the Great Recession in Italy," IFS Working Papers W16/10, Institute for Fiscal Studies.

    Cited by:

    1. Renata Bottazzi & Serena Trucchi & Matthew Wakefield, 2020. "Consumption Responses to a Large Shock to Financial Wealth: Evidence from Italy," Scandinavian Journal of Economics, Wiley Blackwell, vol. 122(2), pages 762-789, April.
    2. Victoria Kudaisi, Bosede & Akanni Olomola, Philip, 2021. "Effects Of Income Shock On Consumption Among Public Workers In Southwest Nigeria: Evidence From The 2016-2018 Economic Crisis," Ilorin Journal of Economic Policy, Department of Economics, University of Ilorin, vol. 8(2), pages 65-88, June.

  4. Padula, Mario & Battistin, Erich & De Nadai, Michele, 2014. "Roadblocks on the Road to Grandma's House: Fertility Consequences of Delayed Retirement," CEPR Discussion Papers 9945, C.E.P.R. Discussion Papers.

    Cited by:

    1. Eibich, Peter & Zai, Xianhua, 2022. "Are the Grandparents Alright?: The Health Consequences of Grandparental Childcare Provision," CINCH Working Paper Series (since 2020) 77108, Duisburg-Essen University Library, DuEPublico.
    2. Peter Eibich & Thomas Siedler, 2020. "Retirement, Intergenerational Time Transfers, and Fertility," SOEPpapers on Multidisciplinary Panel Data Research 1073, DIW Berlin, The German Socio-Economic Panel (SOEP).
    3. Katja Maria Kaufmann & Yasemin Özdemir & Han Ye, 2022. "Spillover Effects of Old-Age Pension across Generations: Family Labor Supply and Child Outcomes," CESifo Working Paper Series 9813, CESifo.
    4. Zhu, Penghu & Lin, Boqiang, 2022. "Do the elderly consume more energy? Evidence from the retirement policy in urban China," Energy Policy, Elsevier, vol. 165(C).
    5. Bertoni, Marco & Brunello, Giorgio & Mazzarella, Gianluca, 2018. "Does postponing minimum retirement age improve healthy behaviors before retirement? Evidence from middle-aged Italian workers," Journal of Health Economics, Elsevier, vol. 58(C), pages 215-227.
    6. Gema Zamarro, 2020. "Family labor participation and child care decisions: the role of grannies," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 11(3), pages 287-312, September.
    7. Luca Stella, 2014. "Living Arrangements in Europe: Whether and Why Paternal Retirement Matters," "Marco Fanno" Working Papers 0177, Dipartimento di Scienze Economiche "Marco Fanno".
    8. Serena Trucchi & Elsa Fornero & Mariacristina Rossi, 2017. "“Retirement rigidities and the gap between effective and desired labour supply by older workers"," CeRP Working Papers 174, Center for Research on Pensions and Welfare Policies, Turin (Italy).
    9. Bratti, Massimiliano & Frattini, Tommaso & Scervini, Francesco, 2017. "Grandparental availability for child care and maternal labor force participation: Pension reform evidence from Italy," JRC Working Papers in Economics and Finance 2017-03, Joint Research Centre, European Commission.
    10. Yujie Wang & Run Ge & Wenjing Gao & Dunzhe Tang, 2024. "How Does Fertility Policy Relaxation Affect Household Financial Asset Allocation? Evidence from the Universal Two-Child Policy in China," Sustainability, MDPI, vol. 16(3), pages 1-23, January.
    11. Luca Stella, 2017. "Living arrangements in Europe: whether and why paternal retirement matters," Review of Economics of the Household, Springer, vol. 15(2), pages 497-525, June.
    12. Gianluca Cerruti & Gianluca Mazzarella & Mauro Migliavacca, 2023. "Employment protection legislation and household formation: evidence from Italy," Review of Economics of the Household, Springer, vol. 21(3), pages 913-939, September.
    13. Ilciukas, Julius, 2023. "Fertility and parental retirement," Journal of Public Economics, Elsevier, vol. 226(C).
    14. Ainoa Aparicio Fenoll, 2020. "The uneven impact of women's retirement on their daughters' employment," Review of Economics of the Household, Springer, vol. 18(3), pages 795-821, September.
    15. Francesca Carta & Marta De Philippis, 2021. "Working horizon and labour supply: the effect of raising the full retirement age on middle-aged individuals," Temi di discussione (Economic working papers) 1314, Bank of Italy, Economic Research and International Relations Area.
    16. Janna Bergsvik & Agnes Fauske & Rannveig Kaldager Hart, 2021. "Can Policies Stall the Fertility Fall? A Systematic Review of the (Quasi‐) Experimental Literature," Population and Development Review, The Population Council, Inc., vol. 47(4), pages 913-964, December.
    17. Emanuele Ciani, 2016. "Retirement, pension eligibility and home production," Temi di discussione (Economic working papers) 1056, Bank of Italy, Economic Research and International Relations Area.
    18. Edoardo Frattola, 2023. "Parental retirement and fertility decisions across family policy regimes," Temi di discussione (Economic working papers) 1417, Bank of Italy, Economic Research and International Relations Area.
    19. Ueno, Yuko & 上野, 有子 & Usui, Emiko & 臼井, 恵美子, 2021. "The Effects of Providing Childcare on Grandmothers’ Employment and Mental Health in Japan, 日本で孫の育児が祖母の就業とメンタルヘルスに及ぼす影響," CIS Discussion paper series 691, Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University.
    20. Francesca Zanasi & Inge Sieben & Wilfred Uunk, 2020. "Work history, economic resources, and women’s labour market withdrawal after the birth of the first grandchild," European Journal of Ageing, Springer, vol. 17(1), pages 109-118, March.
    21. Janna Bergsvik & Agnes Fauske & Rannveig K. Hart, 2020. "Effects of policy on fertility. A systematic review of (quasi)experiments," Discussion Papers 922, Statistics Norway, Research Department.
    22. Julius Ilciukas, 2022. "Fertility and Parental Retirement," Tinbergen Institute Discussion Papers 22-021/V, Tinbergen Institute.

  5. Michele De Nadai & Arthur Lewbel, 2012. "Nonparametric Errors in Variables Models with Measurement Errors on both sides of the Equation," Boston College Working Papers in Economics 790, Boston College Department of Economics, revised 01 Jul 2013.

    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. Xu, Hong-Xia & Fan, Guo-Liang & Chen, Zhen-Long, 2017. "Hypothesis tests in partial linear errors-in-variables models with missing response," Statistics & Probability Letters, Elsevier, vol. 126(C), pages 219-229.
    3. Jawara, Hamidou & Thiele, Rainer, 2018. "The nutrient-income elasticity in ultra-poor households: Evidence from Kenya," Kiel Working Papers 2114, Kiel Institute for the World Economy (IfW Kiel).
    4. Arthur Lewbel & Krishna Pendakur, 2017. "Unobserved Preference Heterogeneity in Demand Using Generalized Random Coefficients," Journal of Political Economy, University of Chicago Press, vol. 125(4), pages 1100-1148.
    5. Christoph Breunig & Stephan Martin, 2020. "Nonclassical Measurement Error in the Outcome Variable," Papers 2009.12665, arXiv.org, revised May 2021.
    6. Leonard Goff, 2022. "Identifying causal effects with subjective ordinal outcomes," Papers 2212.14622, arXiv.org, revised Dec 2024.
    7. Daniel Wilhelm, 2019. "Testing for the presence of measurement error," CeMMAP working papers CWP48/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Brantly Callaway & Tong Li & Irina Murtazashvili, 2021. "Distributional Effects with Two-Sided Measurement Error: An Application to Intergenerational Income Mobility," Papers 2107.09235, arXiv.org, revised Jun 2024.
    9. Lin, Zhongjian & Hu, Yingyao, 2024. "Binary choice with misclassification and social interactions, with an application to peer effects in attitude," Journal of Econometrics, Elsevier, vol. 238(1).
    10. Florian Gunsilius, 2019. "A path-sampling method to partially identify causal effects in instrumental variable models," Papers 1910.09502, arXiv.org, revised Jun 2020.

  6. Battistin, Erich & De Nadai, Michele & Sianesi, Barbara, 2012. "Misreported Schooling, Multiple Measures and Returns to Educational Qualifications," IZA Discussion Papers 6337, Institute of Labor Economics (IZA).

    Cited by:

    1. Freier, Ronny & Schumann, Mathias & Siedler, Thomas, 2015. "The Earnings Returns to Graduating with Honors: Evidence from Law Graduates," IZA Discussion Papers 8825, Institute of Labor Economics (IZA).
    2. Wang, Jun & Li, Bo, 2020. "Does employer learning with statistical discrimination exist in China? Evidence from Chinese Micro Survey Data," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 319-333.
    3. vom Lehn, Christian & Ellsworth, Cache & Kroff, Zachary, 2020. "Reconciling Occupational Mobility in the Current Population Survey," IZA Discussion Papers 13509, Institute of Labor Economics (IZA).
    4. Francis J. DiTraglia & Camilo Garcia-Jimeno, 2020. "Identifying the effect of a mis-classified, binary, endogenous regressor," Papers 2011.07272, arXiv.org.
    5. Erich Battistin & Barbara Sianesi, 2006. "Misreported schooling and returns to education: evidence from the UK," CeMMAP working papers CWP07/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Battistin, Erich & De Nadai, Michele & Vuri, Daniela, 2017. "Counting rotten apples: Student achievement and score manipulation in Italian elementary Schools," Journal of Econometrics, Elsevier, vol. 200(2), pages 344-362.
    7. Steven J. Haider & Melvin Stephens Jr., 2020. "Correcting for Misclassified Binary Regressors Using Instrumental Variables," NBER Working Papers 27797, National Bureau of Economic Research, Inc.
    8. Acerenza, Santiago & Ban, Kyunghoon & Kedagni, Desire, 2021. "Marginal Treatment Effects with Misclassified Treatment," ISU General Staff Papers 202106180700001132, Iowa State University, Department of Economics.
    9. Hiroyuki Kasahara & Katsumi Shimotsu, 2019. "Identification of Regression Models with a Misclassified and Endogenous Binary Regressor," Papers 1904.11143, arXiv.org, revised Aug 2021.
    10. Cheny, L.; & Clarke, P.M.; & Petrie, D.J.; & Staub, K.E.;, 2018. "The effects of self-assessed health: Dealing with and understanding misclassification bias," Health, Econometrics and Data Group (HEDG) Working Papers 18/26, HEDG, c/o Department of Economics, University of York.
    11. Ha Trong Nguyen & Huong Thu Le & Luke Connelly & Francis Mitrou, 2023. "Accuracy of self‐reported private health insurance coverage," Health Economics, John Wiley & Sons, Ltd., vol. 32(12), pages 2709-2729, December.
    12. Simon Burgess & Robert Metcalfe & Sally Sadoff, 2016. "Understanding the Response to Financial and Non-Financial Incentives in Education: Field Experimental Evidence Using High-Stakes Assessments," Bristol Economics Discussion Papers 16/678, School of Economics, University of Bristol, UK.
    13. Schumann, Mathias & Freier, Ronny & Siedler, Thomas, 2014. "The Economic Returns to Graduating with Honors - Evidence from Law Graduates," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100338, Verein für Socialpolitik / German Economic Association.
    14. Orville Mondal & Rui Wang, 2024. "Partial Identification of Binary Choice Models with Misreported Outcomes," Papers 2401.17137, arXiv.org.
    15. Akanksha Negi & Digvijay Singh Negi, 2022. "Difference-in-Differences with a Misclassified Treatment," Papers 2208.02412, arXiv.org.
    16. Marília R. Nepomuceno & Cássio M. Turra, 2020. "Assessing the quality of education reporting in Brazilian censuses," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 42(15), pages 441-460.
    17. Lina Zhang, 2020. "Spillovers of Program Benefits with Missing Network Links," Papers 2009.09614, arXiv.org, revised Aug 2024.
    18. Francis DiTraglia & Camilo Garcia-Jimeno, 2015. "On Mis-measured Binary Regressors: New Results And Some Comments on the Literature, Third Version," PIER Working Paper Archive 15-040, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 24 Nov 2015.
    19. DiTraglia, Francis J. & García-Jimeno, Camilo, 2019. "Identifying the effect of a mis-classified, binary, endogenous regressor," Journal of Econometrics, Elsevier, vol. 209(2), pages 376-390.
    20. Denni Tommasi & Arthur Lewbel & Rossella Calvi, 2017. "LATE with Mismeasured or Misspecified Treatment: An application to Women's Empowerment in India," Working Papers ECARES ECARES 2017-27, ULB -- Universite Libre de Bruxelles.
    21. Boero, Gianna & Nathwani, Tej & Naylor, Robin & Smith, Jeremy, 2021. "Graduate Earnings Premia in the UK : Decline and Fall?," The Warwick Economics Research Paper Series (TWERPS) 1387, University of Warwick, Department of Economics.
    22. Takahide Yanagi, 2018. "Inference on Local Average Treatment Effects for Misclassified Treatment," Papers 1804.03349, arXiv.org.
    23. Huber Martin & Wüthrich Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-27, January.
    24. Millimet, Daniel L., 2015. "Covariate measurement and endogeneity," Economics Letters, Elsevier, vol. 136(C), pages 59-63.
    25. Adam I. Biener & Chad Meyerhoefer & John Cawley, 2024. "Non‐classical measurement error in instrumental variables estimation: An application to the medical care costs of obesity," Health Economics, John Wiley & Sons, Ltd., vol. 33(11), pages 2558-2574, November.
    26. Battistin, Erich & Chesher, Andrew, 2014. "Treatment effect estimation with covariate measurement error," Journal of Econometrics, Elsevier, vol. 178(2), pages 707-715.
    27. Augustine Denteh & D'esir'e K'edagni, 2022. "Misclassification in Difference-in-differences Models," Papers 2207.11890, arXiv.org, revised Jul 2022.
    28. Marilia R. Nepomuceno & Cássio M. Turra, 2019. "Assessing the quality of self-reported education in Brazil with intercensal survivorship ratios," MPIDR Working Papers WP-2019-022, Max Planck Institute for Demographic Research, Rostock, Germany.
    29. Francis J. DiTraglia & Camilo García-Jimeno, 2017. "Mis-classified, Binary, Endogenous Regressors: Identification and Inference," NBER Working Papers 23814, National Bureau of Economic Research, Inc.
    30. Wossen, Tesfamicheal & Abay, Kibrom A. & Abdoulaye, Tahirou, 2022. "Misperceiving and misreporting input quality: Implications for input use and productivity," Journal of Development Economics, Elsevier, vol. 157(C).

Articles

  1. Battistin, Erich & De Nadai, Michele & Vuri, Daniela, 2017. "Counting rotten apples: Student achievement and score manipulation in Italian elementary Schools," Journal of Econometrics, Elsevier, vol. 200(2), pages 344-362.
    See citations under working paper version above.
  2. De Nadai, Michele & Lewbel, Arthur, 2016. "Nonparametric errors in variables models with measurement errors on both sides of the equation," Journal of Econometrics, Elsevier, vol. 191(1), pages 19-32.
    See citations under working paper version above.
  3. Erich Battistin & Michele De Nadai, 2015. "Identification and Estimation of Engel Curves with Endogenous and Unobserved Expenditures," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(3), pages 487-508, April.

    Cited by:

    1. Rude, Johanna, 2024. "Income Inequality and Aggregate Demand," MPRA Paper 120875, University Library of Munich, Germany.
    2. Kohtaro Hitomi & Masamune Iwasawa & Yoshihiko Nishiyama, 2022. "Optimal minimax rates against nonsmooth alternatives [Optimal testing for additivity in multiple nonparametric regression]," The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 322-339.
    3. Kohtaro Hitomi & Masamune Iwasawa & Yoshihiko Nishiyama, 2018. "Rate Optimal Specification Test When the Number of Instruments is Large," KIER Working Papers 986, Kyoto University, Institute of Economic Research.

  4. Battistin, Erich & De Nadai, Michele & Sianesi, Barbara, 2014. "Misreported schooling, multiple measures and returns to educational qualifications," Journal of Econometrics, Elsevier, vol. 181(2), pages 136-150.
    See citations under working paper version above.

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 12 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-EDU: Education (5) 2012-02-27 2014-09-25 2014-12-13 2014-12-13 2016-12-04. Author is listed
  2. NEP-DEM: Demographic Economics (4) 2014-04-11 2014-06-02 2015-06-27 2016-08-14
  3. NEP-AGE: Economics of Ageing (3) 2014-04-11 2014-06-02 2015-06-27
  4. NEP-EUR: Microeconomic European Issues (3) 2014-06-02 2015-06-27 2016-08-14
  5. NEP-URE: Urban and Real Estate Economics (3) 2014-09-25 2014-12-13 2016-12-04
  6. NEP-LAB: Labour Economics (2) 2012-02-27 2015-06-27
  7. NEP-MAC: Macroeconomics (2) 2020-06-08 2020-06-22
  8. NEP-ECM: Econometrics (1) 2012-03-21
  9. NEP-GER: German Papers (1) 2014-04-11
  10. NEP-GRO: Economic Growth (1) 2014-04-11
  11. NEP-MKT: Marketing (1) 2016-08-14

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Michele De Nadai should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.