IDEAS home Printed from https://ideas.repec.org/e/pzi88.html
   My authors  Follow this author

Eduardo Zilberman

Personal Details

First Name:Eduardo
Middle Name:
Last Name:Zilberman
Suffix:
RePEc Short-ID:pzi88
[This author has chosen not to make the email address public]
http://sites.google.com/site/eduardozilberman/

Affiliation

Departamento de Economia
Pontifícia Universidade Católica do Rio de Janeiro

Rio de Janeiro, Brazil
http://www.econ.puc-rio.br/
RePEc:edi:dpucrbr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Saki Bigio & Mengbo Zhang & Eduardo Zilberman, 2020. "Transfers vs Credit Policy: Macroeconomic Policy Trade-offs during Covid-19," NBER Working Papers 27118, National Bureau of Economic Research, Inc.
  2. Saki Bigio & Eduardo Zilberman, 2020. "Speculation-Driven Business Cycles," Working Papers Central Bank of Chile 865, Central Bank of Chile.
  3. Felipe Leal & Carlos Molina & Eduardo Zilberman, 2020. "Proyección de la Inflación en Chile con Métodos de Machine Learning," Working Papers Central Bank of Chile 860, Central Bank of Chile.
  4. Marcelo Madeiros & Gabriel Vasconcelos & Álvaro Veiga & Eduardo Zilberman, 2019. "Forecasting Inflation in a Data-Rich Environment: The Benefits of Machine Learning Methods," Working Papers Central Bank of Chile 834, Central Bank of Chile.
  5. Carvalho, Carlos & Pasca, Nilda & Souza, Laura & Zilberman, Eduardo, 2019. "Macroeconomic Macroeconomic Effects of Credit Deepening in Latin America," Working Papers 2019-013, Banco Central de Reserva del Perú.
  6. Carlos Viana de Carvalho & Daniel Cordeiro & Ruy Ribeiro & Eduardo Zilberman, 2018. "Gambling, Risk Appetite and Asset Pricing," Textos para discussão 664, Department of Economics PUC-Rio (Brazil).
  7. Napoleão Silva & Eduardo Zilberman, 2017. "Impactos Macroeconômicos da Expansão do Crédito no Brasil: o período 2001-2011," Discussion Papers 2333, Instituto de Pesquisa Econômica Aplicada - IPEA.
  8. Ricardo de Menezes Barboza & Eduardo Zilberman, 2017. "Os Efeitos da Incerteza sobre a Atividade Econômica no Brasil," Textos para discussão 658, Department of Economics PUC-Rio (Brazil).
  9. Eduardo Zilberman & Pedro Hemsley, 2015. "Risk Contracts with Private Information and One-Sided Commitment," Textos para discussão 635, Department of Economics PUC-Rio (Brazil).
  10. Carlos Viana de Carvalho & Eduardo Zilberman & Laura Candido de Souza & Nilda Mercedes Cabrera Pasca, 2014. "Macroeconomic Effects of Credit Deepening in Latin America," Textos para discussão 629, Department of Economics PUC-Rio (Brazil).
  11. Anna Carolina Saba dos Reis & Eduardo Zilberman, 2013. "On the Optimal Size of Public Employment," Textos para discussão 612, Department of Economics PUC-Rio (Brazil).
  12. Caio Waisman & João Manoel Pinho de Mello & Eduardo Zilberman, 2013. "The Effects of Exposure to Hyperinflation on Occupational Choice," Textos para discussão 614, Department of Economics PUC-Rio (Brazil).
  13. Julio de Alencastro Graça Mereb & Eduardo Zilberman, 2013. "O Programa de Aceleração do Crescimento Acelera o Crescimento?," Textos para discussão 613, Department of Economics PUC-Rio (Brazil).
  14. Eduardo Zilberman, 2011. "Audits or Distortions: The Optimal Scheme to Enforce Self-Employment Income Taxes," Textos para discussão 590, Department of Economics PUC-Rio (Brazil).
  15. Berriel, Tiago Couto & Zilberman, Eduardo, 2011. "Targeting the poor: a macroeconomic analysis of cash transfer programs," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 726, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
  16. João Manoel Pinho de Mello & Eduardo Zilberman, 2006. "Does crime affect economic decisions? An empirical investigation of savings in a high-crime environment," Textos para discussão 524, Department of Economics PUC-Rio (Brazil), revised Oct 2008.
  17. Carlos Viana de Carvalho & Eduardo Zilberman & Ruy Ribeiro, "undated". "Sentiment, Electoral Uncertainty and Stock Returns," Textos para discussão 655, Department of Economics PUC-Rio (Brazil).
  18. Carlos Carvalho & Tiago Fl´orido & Eduardo Zilberman, "undated". "Transitions in Central Bank Leadership," Textos para discussão 657, Department of Economics PUC-Rio (Brazil).

Articles

  1. Marcelo C. Medeiros & Gabriel F. R. Vasconcelos & Álvaro Veiga & Eduardo Zilberman, 2021. "Forecasting Inflation in a Data-Rich Environment: The Benefits of Machine Learning Methods," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(1), pages 98-119, January.
  2. Eduardo Zilberman & Vinicius Carrasco & Pedro Hemsley, 2019. "Risk sharing contracts with private information and one-sided commitment," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 68(1), pages 53-81, July.
  3. Barboza, Ricardo de Menezes & Zilberman, Eduardo, 2018. "Os Efeitos da Incerteza sobre a Atividade Econômica no Brasil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 72(2), June.
  4. Eduardo Zilberman, 2016. "Audits or Distortions: The Optimal Scheme to Enforce Self-Employment Income Taxes," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 18(4), pages 511-544, August.
  5. de Mello, João M.P. & Waisman, Caio & Zilberman, Eduardo, 2014. "The effects of exposure to hyperinflation on occupational choice," Journal of Economic Behavior & Organization, Elsevier, vol. 106(C), pages 109-123.
  6. Mereb, Julio & Zilberman, Eduardo, 2012. "Does the Growth Acceleration Program Accelerate Growth?," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 32(2), April.
  7. Bigio, Saki & Zilberman, Eduardo, 2011. "Optimal self-employment income tax enforcement," Journal of Public Economics, Elsevier, vol. 95(9-10), pages 1021-1035, October.
  8. De Mello Joao M & Zilberman Eduardo, 2008. "Does Crime Affect Economic Decisions? An Empirical Investigation of Savings in a High-Crime Environment," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 8(1), pages 1-28, December.

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.

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Saki Bigio & Mengbo Zhang & Eduardo Zilberman, 2020. "Transfers vs Credit Policy: Macroeconomic Policy Trade-offs during Covid-19," NBER Working Papers 27118, National Bureau of Economic Research, Inc.

    Mentioned in:

    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Economic policy > Business support

Working papers

  1. Saki Bigio & Mengbo Zhang & Eduardo Zilberman, 2020. "Transfers vs Credit Policy: Macroeconomic Policy Trade-offs during Covid-19," NBER Working Papers 27118, National Bureau of Economic Research, Inc.

    Cited by:

    1. Feyen, Erik & Alonso Gispert, Tatiana & Kliatskova, Tatsiana & Mare, Davide S., 2021. "Financial Sector Policy Response to COVID-19 in Emerging Markets and Developing Economies," Journal of Banking & Finance, Elsevier, vol. 133(C).
    2. Balduzzi, Pierluigi & Brancati, Emanuele & Brianti, Marco & Schiantarelli, Fabio, 2020. "The Economic Effects of COVID-19 and Credit Constraints: Evidence from Italian Firms' Expectations and Plans," IZA Discussion Papers 13629, Institute of Labor Economics (IZA).
    3. Coen, Patrick, 2021. "Information Loss over the Business Cycle," TSE Working Papers 21-1220, Toulouse School of Economics (TSE).
    4. Pontus Braunerhjelm, 2022. "Rethinking stabilization policies; Including supply-side measures and entrepreneurial processes," Small Business Economics, Springer, vol. 58(2), pages 963-983, February.
    5. Tatiana Didier & Federico Huneeus & Mauricio Larrain & Sergio L. Schmukler, 2020. "Financing Firms in Hibernation During the COVID-19 Pandemic," World Bank Publications - Reports 33611, The World Bank Group.
    6. Woodford, Michael, 2020. "Effective Demand Failures and the Limits of Monetary Stabilization Policy," CEPR Discussion Papers 15211, C.E.P.R. Discussion Papers.
    7. Galindo Gil, Hamilton, 2021. "What kind of firm is more responsive to the unconventional monetary policy?," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 188-200.
    8. Anatoli Segura & Alonso Villacorta, 2021. "Firm-bank linkages and optimal policies in a lockdown," Temi di discussione (Economic working papers) 1343, Bank of Italy, Economic Research and International Relations Area.
    9. Can, Ufuk & Can, Zeynep Gizem & Bocuoglu, Mehmet Emin & Dogru, Muhammed Erkam, 2021. "The effectiveness of the post-Covid-19 recovery policies: Evidence from a simulated DSGE model for Turkey," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 694-708.
    10. Alin Marius Andries & Steven Ongena & Nicu Sprincean, 2020. "The COVID-19 Pandemic and Sovereign Bond Risk," Swiss Finance Institute Research Paper Series 20-42, Swiss Finance Institute.
    11. Alessandro Di Nola & Leo Kaas & Haomin Wang, 2022. "Rescue Policies for Small Businesses in the Covid-19 Recession," CESifo Working Paper Series 9641, CESifo.
    12. Pozo, Jorge & Rojas, Youel, 2021. "Unconventional Credit Policy in an Economy under Zero Lower Bound," Working Papers 2021-005, Banco Central de Reserva del Perú.
    13. Fernando Cirelli & Mark Gertler, 2022. "Economic Winners Versus Losers and the Unequal Pandemic Recession," NBER Working Papers 29713, National Bureau of Economic Research, Inc.
    14. Efraim Benmelech & Nitzan Tzur-Ilan, 2020. "The Determinants of Fiscal and Monetary Policies During the Covid-19 Crisis," NBER Working Papers 27461, National Bureau of Economic Research, Inc.
    15. Chadha, Jagjit S. & Corrado, Luisa & Meaning, Jack & Schuler, Tobias, 2021. "Monetary and fiscal complementarity in the Covid-19 pandemic," Working Paper Series 2588, European Central Bank.
    16. Ani Asoyan & Vahagn Davtyan & Haykaz Igityan & Hasmik Kartashyan & Hovhannes Manukyan, 2020. "Modelling the Effects of a Health Shock on the Armenian Economy," Russian Journal of Money and Finance, Bank of Russia, vol. 79(4), pages 18-44, December.
    17. Ani Asoyan & Vahagn Davtyan & Haykaz Igityan & Hasmik Kartashyan & Hovhannes Manukyan, 2020. "Modelling the Effects of a Health Shock on the Armenian Economy," Working Papers 15, Central Bank of the Republic of Armenia, revised Dec 2020.
    18. Ricardo Hausmann & Ulrich Schetter, 2020. "Horrible Trade-offs in a Pandemic: Lockdowns, Transfers, Fiscal Space, and Compliance," CID Working Papers 382, Center for International Development at Harvard University.

  2. Marcelo Madeiros & Gabriel Vasconcelos & Álvaro Veiga & Eduardo Zilberman, 2019. "Forecasting Inflation in a Data-Rich Environment: The Benefits of Machine Learning Methods," Working Papers Central Bank of Chile 834, Central Bank of Chile.

    Cited by:

    1. Lulin Xu & Zhongwu Li, 2021. "A New Appraisal Model of Second-Hand Housing Prices in China’s First-Tier Cities Based on Machine Learning Algorithms," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 617-637, February.
    2. Victor DeMiguel & Javier Gil-Bazo & Francisco J. Nogales & André A. P. Santos, 2021. "Can machine learning help to select portfolios of mutual funds?," Economics Working Papers 1772, Department of Economics and Business, Universitat Pompeu Fabra.
    3. Philippe Goulet Coulombe, 2020. "The Macroeconomy as a Random Forest," Papers 2006.12724, arXiv.org, revised Mar 2021.
    4. Goulet Coulombe, Philippe & Leroux, Maxime & Stevanovic, Dalibor & Surprenant, Stéphane, 2021. "Macroeconomic data transformations matter," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1338-1354.
    5. Dendramis, Yiannis & kapetanios, george & Marcellino, Massimiliano, 2020. "A Similarity-based Approach for Macroeconomic Forecasting," CEPR Discussion Papers 14469, C.E.P.R. Discussion Papers.
    6. Jon Ellingsen & Vegard H. Larsen & Leif Anders Thorsrud, 2020. "News media vs. FRED-MD for macroeconomic forecasting," Working Papers No 08/2020, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    7. Guilherme Lindenmeyer & Pedro Pablo Skorin & Hudson da Silva Torrent, 2021. "Using boosting for forecasting electric energy consumption during a recession: a case study for the Brazilian State Rio Grande do Sul," Letters in Spatial and Resource Sciences, Springer, vol. 14(2), pages 111-128, August.
    8. Shafiullah Qureshi & Ba Chu & Fanny S. Demers, 2021. "Forecasting Canadian GDP Growth with Machine Learning," Carleton Economic Papers 21-05, Carleton University, Department of Economics.
    9. Jaehyun Yoon, 2021. "Forecasting of Real GDP Growth Using Machine Learning Models: Gradient Boosting and Random Forest Approach," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 247-265, January.
    10. Oren Barkan & Jonathan Benchimol & Itamar Caspi & Allon Hammer & Noam Koenigstein, 2021. "Forecasting CPI Inflation Components with Hierarchical Recurrent Neural Network," Bank of Israel Working Papers 2021.06, Bank of Israel.
    11. Ricardo P. Masini & Marcelo C. Medeiros & Eduardo F. Mendes, 2020. "Machine Learning Advances for Time Series Forecasting," Papers 2012.12802, arXiv.org, revised Apr 2021.
    12. Knut Lehre Seip & Dan Zhang, 2021. "The Yield Curve as a Leading Indicator: Accuracy and Timing of a Parsimonious Forecasting Model," Forecasting, MDPI, vol. 3(2), pages 1-16, May.
    13. Michael W. McCracken & Serena Ng, 2021. "FRED-QD: A Quarterly Database for Macroeconomic Research," Review, Federal Reserve Bank of St. Louis, vol. 103(1), pages 1-44, January.
    14. Brett Rayner & Marijn A. Bolhuis, 2020. "The More the Merrier? A Machine Learning Algorithm for Optimal Pooling of Panel Data," IMF Working Papers 2020/044, International Monetary Fund.
    15. Roberto Casarin & Fausto Corradin & Francesco Ravazzolo & Nguyen Domenico Sartore, 2020. "A Scoring Rule for Factor and Autoregressive Models Under Misspecification," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(2), pages 66-103, June.
    16. Livia Paranhos, 2021. "Predicting Inflation with Neural Networks," Papers 2104.03757, arXiv.org.
    17. Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2021. "Tail Forecasting with Multivariate Bayesian Additive Regression Trees," Working Papers 21-08, Federal Reserve Bank of Cleveland.
    18. Lake, A., 2020. "Optimal Feasible Expectations in Economics and Finance," Cambridge Working Papers in Economics 20105, Faculty of Economics, University of Cambridge.
    19. Dalibor Stevanovic & Stéphane Surprenant & Philippe Goulet Coulombe, 2019. "How is Machine Learning Useful for Macroeconomic Forecasting?," CIRANO Working Papers 2019s-22, CIRANO.
    20. Jonas Krampe & Luca Margaritella, 2021. "Dynamic Factor Models with Sparse VAR Idiosyncratic Components," Papers 2112.07149, arXiv.org.
    21. Maehashi, Kohei & Shintani, Mototsugu, 2020. "Macroeconomic forecasting using factor models and machine learning: an application to Japan," Journal of the Japanese and International Economies, Elsevier, vol. 58(C).
    22. Byron Botha & Rulof Burger & Kevin Kotz & Neil Rankin & Daan Steenkamp, 2022. "Big data forecasting of South African inflation," Working Papers 11022, South African Reserve Bank.
    23. Matthew Harding & Gabriel F. R. Vasconcelos, 2022. "Managers versus Machines: Do Algorithms Replicate Human Intuition in Credit Ratings?," Papers 2202.04218, arXiv.org.
    24. Emanuel Kohlscheen, 2021. "What does machine learning say about the drivers of inflation?," BIS Working Papers 980, Bank for International Settlements.
    25. Kohei Maehashi & Mototsugu Shintani, 2020. "Macroeconomic Forecasting Using Factor Models and Machine Learning: An Application to Japan," CIRJE F-Series CIRJE-F-1146, CIRJE, Faculty of Economics, University of Tokyo.
    26. Felipe Leal & Carlos Molina & Eduardo Zilberman, 2020. "Proyección de la Inflación en Chile con Métodos de Machine Learning," Working Papers Central Bank of Chile 860, Central Bank of Chile.
    27. Cepni, Oguzhan & Clements, Michael P., 2021. "How Local is the Local Inflation Factor? Evidence from Emerging European Countries," Working Papers 8-2021, Copenhagen Business School, Department of Economics.
    28. Daniel Borup & David E. Rapach & Erik Christian Montes Schütte, 2021. "Now- and Backcasting Initial Claims with High-Dimensional Daily Internet Search-Volume Data," CREATES Research Papers 2021-02, Department of Economics and Business Economics, Aarhus University.
    29. Caperna, Giulio & Colagrossi, Marco & Geraci, Andrea & Mazzarella, Gianluca, 2020. "Googling Unemployment During the Pandemic: Inference and Nowcast Using Search Data," Working Papers 2020-04, Joint Research Centre, European Commission.
    30. Sabyasachi Kar & Amaani Bashir & Mayank Jain, 2021. "New Approaches to Forecasting Growth and Inflation: Big Data and Machine Learning," IEG Working Papers 446, Institute of Economic Growth.
    31. Escribano, Álvaro & Wang, Dandan, 2021. "Mixed random forest, cointegration, and forecasting gasoline prices," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1442-1462.
    32. Tretyakov, Dmitriy & Fokin, Nikita, 2020. "Помогают Ли Высокочастотные Данные В Прогнозировании Российской Инфляции? [Does the high-frequency data is helpful for forecasting Russian inflation?]," MPRA Paper 109556, University Library of Munich, Germany.
    33. Brett Rayner & Marijn A. Bolhuis, 2020. "Deus ex Machina? A Framework for Macro Forecasting with Machine Learning," IMF Working Papers 2020/045, International Monetary Fund.
    34. Niko Hauzenberger & Florian Huber & Karin Klieber, 2020. "Real-time Inflation Forecasting Using Non-linear Dimension Reduction Techniques," Papers 2012.08155, arXiv.org, revised Dec 2021.
    35. Anesti, Nikoleta & Kalamara, Eleni & Kapetanios, George, 2021. "Forecasting UK GDP growth with large survey panels," Bank of England working papers 923, Bank of England.
    36. Caperna, Giulio & Colagrossi, Marco & Geraci, Andrea & Mazzarella, Gianluca, 2022. "A babel of web-searches: Googling unemployment during the pandemic," Labour Economics, Elsevier, vol. 74(C).
    37. Iuri H. Ferreira & Marcelo C. Medeiros, 2021. "Modeling and Forecasting Intraday Market Returns: a Machine Learning Approach," Papers 2112.15108, arXiv.org.
    38. Daniel Wochner, 2020. "Dynamic Factor Trees and Forests – A Theory-led Machine Learning Framework for Non-Linear and State-Dependent Short-Term U.S. GDP Growth Predictions," KOF Working papers 20-472, KOF Swiss Economic Institute, ETH Zurich.
    39. Joseph, Andreas & Kalamara, Eleni & Kapetanios, George & Potjagailo, Galina, 2021. "Forecasting UK inflation bottom up," Bank of England working papers 915, Bank of England.

  3. Ricardo de Menezes Barboza & Eduardo Zilberman, 2017. "Os Efeitos da Incerteza sobre a Atividade Econômica no Brasil," Textos para discussão 658, Department of Economics PUC-Rio (Brazil).

    Cited by:

    1. Eduardo de Sá Fortes Leitão Rodrigues, 2021. "Uncertainty and Effectiveness of Public Consumption," Working Papers REM 2021/0180, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    2. Eduardo de Sá Fortes Leitão Rodrigues, 2020. "Uncertainty And The Effectiveness Of Fiscal Policy In The United States And Brazil: Svar Approach," Working Papers REM 2020/0150, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    3. Schwarz, Lucas Allan Diniz & Dalmácio, Flávia Zóboli, 2021. "The relationship between economic policy uncertainty and corporate leverage: Evidence from Brazil," Finance Research Letters, Elsevier, vol. 40(C).

  4. Carlos Viana de Carvalho & Eduardo Zilberman & Laura Candido de Souza & Nilda Mercedes Cabrera Pasca, 2014. "Macroeconomic Effects of Credit Deepening in Latin America," Textos para discussão 629, Department of Economics PUC-Rio (Brazil).

    Cited by:

    1. Arruda Gustavo & Lima Daniela & Teles Vladimir Kühl, 2020. "Household borrowing constraints and monetary policy in emerging economies," The B.E. Journal of Macroeconomics, De Gruyter, vol. 20(1), pages 1-21, January.
    2. Jeremy Greenwood & Juan M. Sanchez & Cheng Wang, 2010. "Quantifying the Impact of Financial Development on Economic Development," Economie d'Avant Garde Research Reports 17, Economie d'Avant Garde.
    3. Epstein, Brendan & Finkelstein Shapiro, Alan, 2018. "Financial Development, Unemployment Volatility, and Sectoral Dynamics," MPRA Paper 88693, University Library of Munich, Germany.
    4. Chunping Liu & Zhirong Ou, 2021. "What determines China's housing price dynamics? New evidence from a DSGE‐VAR," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3269-3305, July.
    5. Chunping Liu & Zhirong Ou, 2017. "What determines China's housing price dynamics? New evidence from a DSGE-VAR," NBS Discussion Papers in Economics 2017/04, Economics, Nottingham Business School, Nottingham Trent University.

  5. Caio Waisman & João Manoel Pinho de Mello & Eduardo Zilberman, 2013. "The Effects of Exposure to Hyperinflation on Occupational Choice," Textos para discussão 614, Department of Economics PUC-Rio (Brazil).

    Cited by:

    1. Andreas Kuhn & Stefan C. Wolter, 2018. "The Strength of Gender Norms and Gender-Stereotypical Occupational Aspirations Among Adolescents," Economics of Education Working Paper Series 0151, University of Zurich, Department of Business Administration (IBW).
    2. Fajardo, José & Dantas, Manuela, 2018. "Understanding the impact of severe hyperinflation experience on current household investment behavior," Journal of Behavioral and Experimental Finance, Elsevier, vol. 17(C), pages 60-67.
    3. Franziska Hampf & Marc Piopiunik & Simon Wiederhold, 2020. "The Effects of Graduating from High School in a Recession: College Investments, Skill Formation, and Labor-Market Outcomes," CESifo Working Paper Series 8252, CESifo.

  6. Julio de Alencastro Graça Mereb & Eduardo Zilberman, 2013. "O Programa de Aceleração do Crescimento Acelera o Crescimento?," Textos para discussão 613, Department of Economics PUC-Rio (Brazil).

    Cited by:

    1. Victor Medeiros & Rafael S. M. Ribeiro, 2020. "Power infrastructure and income inequality: evidence from Brazilian state-level data using dynamic panel data models," Textos para Discussão Cedeplar-UFMG 617, Cedeplar, Universidade Federal de Minas Gerais.
    2. Cavalcanti, Marco A.F.H. & Vereda, Luciano & Doctors, Rebeca de B. & Lima, Felipe C. & Maynard, Lucas, 2018. "The macroeconomic effects of monetary policy shocks under fiscal rules constrained by public debt sustainability," Economic Modelling, Elsevier, vol. 71(C), pages 184-201.
    3. Cavalcanti, Marco A. F. H. & Vereda, Luciano, 2015. "Fiscal Policy Multipliers in a DSGE Model for Brazil," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 35(2), March.

  7. Eduardo Zilberman, 2011. "Audits or Distortions: The Optimal Scheme to Enforce Self-Employment Income Taxes," Textos para discussão 590, Department of Economics PUC-Rio (Brazil).

    Cited by:

    1. López, José Joaquín, 2017. "A quantitative theory of tax evasion," Journal of Macroeconomics, Elsevier, vol. 53(C), pages 107-126.

  8. Berriel, Tiago Couto & Zilberman, Eduardo, 2011. "Targeting the poor: a macroeconomic analysis of cash transfer programs," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 726, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).

    Cited by:

    1. Andre Luduvice, 2021. "The Macroeconomic Effects of Universal Basic Income Programs," Working Papers 21-21, Federal Reserve Bank of Cleveland.
    2. McKay, Alisdair & Reis, Ricardo, 2016. "The role of automatic stabilizers in the U.S. business cycle," LSE Research Online Documents on Economics 64479, London School of Economics and Political Science, LSE Library.
    3. Mookherjee, Dilip & Napel, Stefan, 2021. "Welfare rationales for conditionality of cash transfers," Journal of Development Economics, Elsevier, vol. 151(C).
    4. Eduardo Zilberman & Anna Dos Reis, 2013. "On the Optimal Size of Public Employment," 2013 Meeting Papers 482, Society for Economic Dynamics.
    5. Napel, Stefan, 2014. "A Pareto Efficiency Rationale for the Welfare State," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100496, Verein für Socialpolitik / German Economic Association.
    6. Saki Bigio & Mengbo Zhang & Eduardo Zilberman, 2020. "Transfers vs Credit Policy: Macroeconomic Policy Trade-offs during Covid-19," NBER Working Papers 27118, National Bureau of Economic Research, Inc.
    7. Sunel, Enes, 2012. "Transitional Dynamics of Disinflation in a Small Open Economy with Heterogeneous Agents," MPRA Paper 39690, University Library of Munich, Germany.

  9. João Manoel Pinho de Mello & Eduardo Zilberman, 2006. "Does crime affect economic decisions? An empirical investigation of savings in a high-crime environment," Textos para discussão 524, Department of Economics PUC-Rio (Brazil), revised Oct 2008.

    Cited by:

    1. Bruno Karoubi & Régis Chenavaz & Corina Paraschiv, 2016. "Consumers’ perceived risk and hold and use of payment instruments," Applied Economics, Taylor & Francis Journals, vol. 48(14), pages 1317-1329, March.
    2. Detotto Claudio & Vannini Marco & McCannon Bryan C., 2014. "Understanding Ransom Kidnappings and Their Duration," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 14(3), pages 1-23, July.
    3. Mejía, Daniel & Restrepo, Pascual, 2016. "Crime and conspicuous consumption," Journal of Public Economics, Elsevier, vol. 135(C), pages 1-14.
    4. Rose Ann Camille C. Caliso & Jamil Paolo S. Francisco & Emmanuel M. Garcia, 2020. "Broad Insecurity and Perceived Victimization Risk," Journal of Interdisciplinary Economics, , vol. 32(2), pages 160-179, July.
    5. Singh, Prakarsh, 2011. "Impact of terrorism on investment decisions of farmers: evidence from the Punjab insurgency," MPRA Paper 33328, University Library of Munich, Germany.
    6. Sukanya Basu & Sarah Pearlman, 2017. "Violence and migration: evidence from Mexico’s drug war," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-29, December.
    7. Elissaios Papyrakis, 2013. "Environmental Performance in Socially Fragmented Countries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 55(1), pages 119-140, May.
    8. Verteramo Chiu, Leslie J. & Turvey, Calum G., 2015. "Perception and Action in a Conflict Zone: a Study of Rural Economy and Rural Life amidst Narcos in Northeastern Mexico," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205447, Agricultural and Applied Economics Association.

  10. Carlos Viana de Carvalho & Eduardo Zilberman & Ruy Ribeiro, "undated". "Sentiment, Electoral Uncertainty and Stock Returns," Textos para discussão 655, Department of Economics PUC-Rio (Brazil).

    Cited by:

    1. Ehrmann, Michael & Jansen, David-Jan, 2020. "Stock Return Comovement when Investors are Distracted: More, and More Homogeneous," CEPR Discussion Papers 14713, C.E.P.R. Discussion Papers.

Articles

  1. Marcelo C. Medeiros & Gabriel F. R. Vasconcelos & Álvaro Veiga & Eduardo Zilberman, 2021. "Forecasting Inflation in a Data-Rich Environment: The Benefits of Machine Learning Methods," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(1), pages 98-119, January.
    See citations under working paper version above.
  2. Barboza, Ricardo de Menezes & Zilberman, Eduardo, 2018. "Os Efeitos da Incerteza sobre a Atividade Econômica no Brasil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 72(2), June.
    See citations under working paper version above.
  3. Eduardo Zilberman, 2016. "Audits or Distortions: The Optimal Scheme to Enforce Self-Employment Income Taxes," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 18(4), pages 511-544, August.
    See citations under working paper version above.
  4. de Mello, João M.P. & Waisman, Caio & Zilberman, Eduardo, 2014. "The effects of exposure to hyperinflation on occupational choice," Journal of Economic Behavior & Organization, Elsevier, vol. 106(C), pages 109-123.
    See citations under working paper version above.
  5. Bigio, Saki & Zilberman, Eduardo, 2011. "Optimal self-employment income tax enforcement," Journal of Public Economics, Elsevier, vol. 95(9-10), pages 1021-1035, October.

    Cited by:

    1. Laszlo Goerke, 2014. "Income Tax Buyouts and Income Tax Evasion," IAAEU Discussion Papers 201401, Institute of Labour Law and Industrial Relations in the European Union (IAAEU).
    2. Achkasov, Yu. & Pilnik, P., 2017. "Income Tax Effect on Economic Performance in Terms of Endogenous Choice between Labor and Enterprise Market," Journal of the New Economic Association, New Economic Association, vol. 33(1), pages 12-27.
    3. Skrzek-Lubasińska, Małgorzata & Szaban, Jolanta M., 2019. "Nomenclature and harmonised criteria for the self-employment categorisation. An approach pursuant to a systematic review of the literature," European Management Journal, Elsevier, vol. 37(3), pages 376-386.
    4. M. Chatib Basri & Mayara Felix & Rema Hanna & Benjamin A. Olken, 2019. "Tax Administration vs. Tax Rates: Evidence from Corporate Taxation in Indonesia," NBER Working Papers 26150, National Bureau of Economic Research, Inc.
    5. Eduardo Zilberman, 2011. "Audits or Distortions: The Optimal Scheme to Enforce Self-Employment Income Taxes," Textos para discussão 590, Department of Economics PUC-Rio (Brazil).
    6. Bag, Parimal K. & Wang, Peng, 2021. "Income tax evasion and audits under common and idiosyncratic shocks," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 99-116.
    7. Matthew Gould & Matthew D. Rablen, 2020. "Voluntary disclosure schemes for offshore tax evasion," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 27(4), pages 805-831, August.
    8. Aljoša Feldina & Sašo Polanec, 2012. "Underreporting and Minimum Wage," LICOS Discussion Papers 32412, LICOS - Centre for Institutions and Economic Performance, KU Leuven.
    9. Julio Cesar Leal Ordonez, 2014. "Tax collection, the informal sector, and productivity," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(2), pages 262-286, April.
    10. Alvaro Forteza & Cecilia Noboa, 2015. "Tolerance to Tax Evasion," Documentos de Trabajo (working papers) 1015, Department of Economics - dECON.
    11. Annette Alstadsæter & Martin Jacob, 2013. "The effect of awareness and incentives on tax evasion," Working Papers 1314, Oxford University Centre for Business Taxation.
    12. Guo, Jang-Ting & Hung, Fu-Sheng, 2020. "Tax evasion and financial development under asymmetric information in credit markets," Journal of Development Economics, Elsevier, vol. 145(C).
    13. Wu T.C. Michael, 2016. "Profit Tax Evasion under Wage Bargaining Structure," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 16(2), pages 817-834, June.
    14. Annette Alstadsæter & Martin Jacob, 2018. "Tax Incentives and Noncompliance," Public Finance Review, , vol. 46(4), pages 609-634, July.
    15. Casey B. Mulligan, 2017. "The Employer Penalty, Voluntary Compliance, and the Size Distribution of Firms: Evidence from a Survey of Small Businesses," NBER Working Papers 24037, National Bureau of Economic Research, Inc.
    16. Julio César Leal Ordoñez, 2014. "The informal sector in contemporary models of the aggregate economy," Working Papers 2014-24, Banco de México.
    17. López, José Joaquín, 2017. "A quantitative theory of tax evasion," Journal of Macroeconomics, Elsevier, vol. 53(C), pages 107-126.

  6. De Mello Joao M & Zilberman Eduardo, 2008. "Does Crime Affect Economic Decisions? An Empirical Investigation of Savings in a High-Crime Environment," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 8(1), pages 1-28, December.
    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 17 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-MAC: Macroeconomics (9) 2012-01-03 2012-09-09 2015-04-11 2017-07-16 2019-01-28 2020-01-20 2020-01-27 2020-02-03 2020-05-25. Author is listed
  2. NEP-DGE: Dynamic General Equilibrium (6) 2012-01-03 2012-09-09 2013-11-22 2019-01-28 2020-01-20 2020-05-25. Author is listed
  3. NEP-LAM: Central & South America (4) 2012-09-09 2015-04-11 2017-06-18 2020-01-27
  4. NEP-BEC: Business Economics (2) 2020-02-03 2020-02-24
  5. NEP-BIG: Big Data (2) 2020-01-27 2020-06-08
  6. NEP-FDG: Financial Development & Growth (2) 2019-01-28 2020-01-20
  7. NEP-MON: Monetary Economics (2) 2017-07-16 2020-06-08
  8. NEP-ACC: Accounting & Auditing (1) 2011-07-21
  9. NEP-CBA: Central Banking (1) 2017-07-16
  10. NEP-CTA: Contract Theory & Applications (1) 2015-04-11
  11. NEP-DEV: Development (1) 2012-09-09
  12. NEP-ENT: Entrepreneurship (1) 2011-07-21
  13. NEP-FOR: Forecasting (1) 2020-06-08
  14. NEP-GEO: Economic Geography (1) 2006-06-17
  15. NEP-HRM: Human Capital & Human Resource Management (1) 2015-04-11
  16. NEP-IAS: Insurance Economics (1) 2013-11-22
  17. NEP-IFN: International Finance (1) 2018-07-23
  18. NEP-IUE: Informal & Underground Economics (1) 2011-07-21
  19. NEP-LTV: Unemployment, Inequality & Poverty (1) 2012-09-09
  20. NEP-POL: Positive Political Economics (1) 2017-06-18
  21. NEP-REG: Regulation (1) 2006-06-17
  22. NEP-SOC: Social Norms & Social Capital (1) 2006-06-17
  23. NEP-URE: Urban & Real Estate Economics (1) 2006-06-17

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, Eduardo Zilberman 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 hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.