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Maria Ponomareva

Personal Details

First Name:Maria
Middle Name:
Last Name:Ponomareva
Suffix:
RePEc Short-ID:ppo344
[This author has chosen not to make the email address public]
http://www.niu.edu/ponomareva

Affiliation

Department of Economics
Northern Illinois University

DeKalb, Illinois (United States)
http://www.niu.edu/econ/
RePEc:edi:deniuus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Shakeeb Khan & Maria Ponomareva & Elie Tamer, 2019. "Identification of Dynamic Panel Binary Response Models," Boston College Working Papers in Economics 979, Boston College Department of Economics.
  2. Xiaohong Chen & Maria Ponomareva & Elie Tamer, 2013. "Likelihood inference in some finite mixture models," CeMMAP working papers 19/13, Institute for Fiscal Studies.
  3. Shakeeb Khan & Maria Ponomareva & Elie Tamer, 2011. "Identification of Panel Data Models with Endogenous Censoring," Working Papers 11-07, Duke University, Department of Economics.
  4. Zhuravskaya, Ekaterina & Ponomareva, Maria, 2004. "Federal Tax Arrears in Russia: Liquidity Problems, Federal Redistribution or Russian Resistance?," CEPR Discussion Papers 4267, C.E.P.R. Discussion Papers.
  5. Maria Ponomareva & Ekaterina Zhuravskaya, 2004. "Federal Tax Arrears in Russia: Liquidity Problems, Federal Redistribution, or Regional Resistance?," Working Papers w0003, New Economic School (NES).

Articles

  1. Khan, Shakeeb & Ponomareva, Maria & Tamer, Elie, 2016. "Identification of panel data models with endogenous censoring," Journal of Econometrics, Elsevier, vol. 194(1), pages 57-75.
  2. Chen, Xiaohong & Ponomareva, Maria & Tamer, Elie, 2014. "Likelihood inference in some finite mixture models," Journal of Econometrics, Elsevier, vol. 182(1), pages 87-99.
  3. Maria Ponomareva & Elie Tamer, 2011. "Misspecification in moment inequality models: back to moment equalities?," Econometrics Journal, Royal Economic Society, vol. 14(2), pages 186-203, July.
  4. Khan, Shakeeb & Ponomareva, Maria & Tamer, Elie, 2011. "Sharpness in randomly censored linear models," Economics Letters, Elsevier, vol. 113(1), pages 23-25, October.
  5. Maria Ponomareva & Ekaterina Zhuravskaya, 2004. "Federal tax arrears in Russia Liquidity problems, federal redistribution or regional resistance?," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 12(3), pages 373-398, September.

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. Shakeeb Khan & Maria Ponomareva & Elie Tamer, 2019. "Identification of Dynamic Panel Binary Response Models," Boston College Working Papers in Economics 979, Boston College Department of Economics.

    Cited by:

    1. Botosaru, Irene & Muris, Chris & Pendakur, Krishna, 2023. "Identification of time-varying transformation models with fixed effects, with an application to unobserved heterogeneity in resource shares," Journal of Econometrics, Elsevier, vol. 232(2), pages 576-597.
    2. Chris Muris & Pedro Raposo & Sotiris Vandoros, 2020. "A Dynamic Ordered Logit Model with Fixed Effects," Department of Economics Working Papers 2020-14, McMaster University.
    3. Bo E. Honoré & Áureo de Paula, 2021. "Identification in simple binary outcome panel data models," CeMMAP working papers CWP14/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Isaiah Andrews & Jonathan Roth & Ariel Pakes, 2023. "Inference for Linear Conditional Moment Inequalities," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(6), pages 2763-2791.
    5. Irene Botosaru & Chris Muris & Krishna Pendakur, 2020. "Intertemporal Collective Household Models: Identification in Short Panels with Unobserved Heterogeneity in Resource Shares," Department of Economics Working Papers 2020-09, McMaster University.
    6. Bo E. Honor'e & Martin Weidner, 2020. "Moment Conditions for Dynamic Panel Logit Models with Fixed Effects," Papers 2005.05942, arXiv.org, revised Dec 2023.
    7. Fu Ouyang & Thomas Tao Yang, 2020. "Semiparametric Estimation of Dynamic Binary Choice Panel Data Models," ANU Working Papers in Economics and Econometrics 2020-671, Australian National University, College of Business and Economics, School of Economics.
    8. Bo E. Honoré & Martin Weidner, 2021. "Moment Conditions for Dynamic Panel Logit Models with Fixed Effects," Working Papers 2021-79, Princeton University. Economics Department..
    9. Fu Ouyang & Thomas Tao Yang, 2020. "Semiparametric Estimation of Dynamic Binary Choice Panel Data Models," Discussion Papers Series 626, School of Economics, University of Queensland, Australia.
    10. Bo E. Honoré & Martin Weidner, 2020. "Moment Conditions for Dynamic Panel Logit Models with Fixed Effects," CeMMAP working papers CWP38/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  2. Xiaohong Chen & Maria Ponomareva & Elie Tamer, 2013. "Likelihood inference in some finite mixture models," CeMMAP working papers 19/13, Institute for Fiscal Studies.

    Cited by:

    1. Hiroyuki Kasahara & Katsumi Shimotsu, 2018. "Testing the Number of Regimes in Markov Regime Switching Models," Papers 1801.06862, arXiv.org, revised Jan 2018.
    2. Jiaying Gu & Roger Koenker & Stanislav Volgushev, 2017. "Testing for homogeneity in mixture models," CeMMAP working papers 39/17, Institute for Fiscal Studies.
    3. Donald W. K. Andrews & Patrik Guggenberger, 2015. "Identification- and Singularity-Robust Inference for Moment Condition," Cowles Foundation Discussion Papers 1978R2, Cowles Foundation for Research in Economics, Yale University, revised Jan 2019.
    4. Sergei Koulayev & Marc Rysman & Scott Schuh & Joanna Stavins, 2016. "Explaining adoption and use of payment instruments by US consumers," RAND Journal of Economics, RAND Corporation, vol. 47(2), pages 293-325, May.
    5. Xu Cheng, 2014. "Uniform Inference in Nonlinear Models with Mixed Identification Strength," PIER Working Paper Archive 14-018, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    6. Jiaying Gu & Roger Koenker & Stanislav Volgushev, 2017. "Testing for homogeneity in mixture models," CeMMAP working papers CWP39/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Jean-Jacques Forneron, 2019. "A Sieve-SMM Estimator for Dynamic Models," Papers 1902.01456, arXiv.org, revised Jan 2023.
    8. David Pacini, 2022. "A Goodness-of-Identifiability Criterion for Parametric Statistical Models," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 11(4), pages 1-1.
    9. Yan, Cheng & Cheng, Tingting, 2019. "In search of the optimal number of fund subgroups," Journal of Empirical Finance, Elsevier, vol. 50(C), pages 78-92.
    10. Chen, Heng & Fan, Yanqin & Liu, Ruixuan, 2016. "Inference for the correlation coefficient between potential outcomes in the Gaussian switching regime model," Journal of Econometrics, Elsevier, vol. 195(2), pages 255-270.
    11. Cheng, Xu, 2015. "Robust inference in nonlinear models with mixed identification strength," Journal of Econometrics, Elsevier, vol. 189(1), pages 207-228.
    12. Yu Hao & Hiroyuki Kasahara, 2022. "Testing the Number of Components in Finite Mixture Normal Regression Model with Panel Data," Papers 2210.02824, arXiv.org, revised Jun 2023.

  3. Shakeeb Khan & Maria Ponomareva & Elie Tamer, 2011. "Identification of Panel Data Models with Endogenous Censoring," Working Papers 11-07, Duke University, Department of Economics.

    Cited by:

    1. Botosaru, Irene & Muris, Chris & Pendakur, Krishna, 2023. "Identification of time-varying transformation models with fixed effects, with an application to unobserved heterogeneity in resource shares," Journal of Econometrics, Elsevier, vol. 232(2), pages 576-597.
    2. Sokbae (Simon) Lee & Kyungchui (Kevin) Song & Yoon-Jae Whang, 2014. "Testing for a general class of functional inequalities," CeMMAP working papers CWP09/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    3. Shakeeb Khan & Fu Ouyang & Elie Tamer, 2020. "Inference on Semiparametric Multinomial Response Models," Discussion Papers Series 627, School of Economics, University of Queensland, Australia.
    4. Callaway, Brantly & Li, Tong & Oka, Tatsushi, 2018. "Quantile treatment effects in difference in differences models under dependence restrictions and with only two time periods," Journal of Econometrics, Elsevier, vol. 206(2), pages 395-413.
    5. Shakeeb Khan & Fu Ouyang & Elie Tamer, 2019. "Inference on Semiparametric Multinomial Response Models," Boston College Working Papers in Economics 980, Boston College Department of Economics.
    6. Fan, Yanqin & Liu, Ruixuan, 2018. "Partial identification and inference in censored quantile regression," Journal of Econometrics, Elsevier, vol. 206(1), pages 1-38.
    7. Daniel Wilhelm, 2015. "Identification and estimation of nonparametric panel data regressions with measurement error," CeMMAP working papers 34/15, Institute for Fiscal Studies.
    8. Arkadiusz Szydłowski, 2019. "Endogenous censoring in the mixed proportional hazard model with an application to optimal unemployment insurance," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(7), pages 1086-1101, November.
    9. Arkadiusz Szydlowski, 2015. "Endogenous Censoring in the Mixed Proportional Hazard Model with an Application to Optimal Unemployment Insurance," Discussion Papers in Economics 15/06, Division of Economics, School of Business, University of Leicester.
    10. Ye, Xiaoqing & Xu, Juan & Wu, Xiangjun, 2018. "Estimation of an unbalanced panel data Tobit model with interactive effects," Journal of choice modelling, Elsevier, vol. 28(C), pages 108-123.
    11. Shakeeb Khan & Fu Ouyang & Elie Tamer, 2021. "Inference on semiparametric multinomial response models," Quantitative Economics, Econometric Society, vol. 12(3), pages 743-777, July.
    12. Francesca Molinari, 2020. "Microeconometrics with Partial Identi?cation," CeMMAP working papers CWP15/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    13. Daniel Wilhelm, 2015. "Identification and estimation of nonparametric panel data regressions with measurement error," CeMMAP working papers CWP34/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    14. Li, Tong & Oka, Tatsushi, 2015. "Set identification of the censored quantile regression model for short panels with fixed effects," Journal of Econometrics, Elsevier, vol. 188(2), pages 363-377.
    15. Khan, Shakeeb & Ponomareva, Maria & Tamer, Elie, 2011. "Sharpness in randomly censored linear models," Economics Letters, Elsevier, vol. 113(1), pages 23-25, October.
    16. Sung Jae Jun & Yoonseok Lee & Youngki Shin, 2016. "Treatment Effects With Unobserved Heterogeneity: A Set Identification Approach," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 302-311, April.
    17. Alan Sule & Honoré Bo E. & Hu Luojia & Leth-Petersen Søren, 2014. "Estimation of Panel Data Regression Models with Two-Sided Censoring or Truncation," Journal of Econometric Methods, De Gruyter, vol. 3(1), pages 1-20, January.
    18. Irene Botosaru & Chris Muris & Krishna Pendakur, 2020. "Intertemporal Collective Household Models: Identification in Short Panels with Unobserved Heterogeneity in Resource Shares," Department of Economics Working Papers 2020-09, McMaster University.
    19. Irene Botosaru & Chris Muris, 2022. "Identification of time-varying counterfactual parameters in nonlinear panel models," Papers 2212.09193, arXiv.org, revised Nov 2023.

  4. Zhuravskaya, Ekaterina & Ponomareva, Maria, 2004. "Federal Tax Arrears in Russia: Liquidity Problems, Federal Redistribution or Russian Resistance?," CEPR Discussion Papers 4267, C.E.P.R. Discussion Papers.

    Cited by:

    1. Koen Schoors & Konstantin Sonin, 2005. "Passive Creditors," William Davidson Institute Working Papers Series wp737, William Davidson Institute at the University of Michigan.
    2. Vasyl Kvartiuk & Thomas Herzfeld, 2021. "Redistributive Politics in Russia: The Political Economy of Agricultural Subsidies," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 63(1), pages 1-30, March.
    3. Lars P. Feld & Alexander Libman, 2007. "Strategic Tax Collection and Fiscal Decentralisation: The Case of Russia," CESifo Working Paper Series 2031, CESifo.
    4. Irina Slinko & Ekaterina Zhuravskaya & Evgeny Yakovlev, 2005. "Laws for Sale: Evidence from Russia," American Law and Economics Review, American Law and Economics Association, vol. 7(1), pages 284-318.
    5. Elena Jarocińska, 2010. "Intergovernmental grants in Russia," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 18(2), pages 405-427, April.
    6. Dilip Mookherjee & Pranab Bardhan, 2005. "Decentralization, Corruption And Government Accountability: An Overview," Boston University - Department of Economics - Working Papers Series WP2005-023, Boston University - Department of Economics, revised Jun 2005.
    7. Alejandro Esteller-Moré, 2011. "Is the tax administration just a money machine? Empirical evidence on redistributive politics," Economics of Governance, Springer, vol. 12(3), pages 275-299, September.
    8. Jorge Martinez-Vazquez & Santiago Lago-Peñas & Agnese Sacchi, 2015. "The Impact of Fiscal Decentralization: A Survey," Working papers 29, Società Italiana di Economia Pubblica.
    9. Mokhtari, Manouchehr & Grafova, Irina, 2007. "Corruption: Theory and evidence from the Russian Federation," Economic Systems, Elsevier, vol. 31(4), pages 412-422, December.
    10. Ariane Lambert-Mogiliansky & Konstantin Sonin & Ekaterina Zhuravskaya, 2007. "Are Russian Commercial Courts Biased? Evidence from a Bankruptcy Law Transplant," PSE-Ecole d'économie de Paris (Postprint) halshs-00754226, HAL.
    11. Vera Ivanova, 2018. "Spatial convergence of real wages in Russian cities," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(1), pages 1-30, July.
    12. Libman, Alexander, 2008. "Federalism and regionalism in transition countries: A survey," MPRA Paper 29196, University Library of Munich, Germany.
    13. Kvartiuk, V. & Herzfeld, T. & Ghukasyan, S., 2018. "The Political Economy of Russian Agricultural Subsidies," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277040, International Association of Agricultural Economists.
    14. Zakolyukina Anastasia, 2006. "Bankrtuptcy in Russia: External Management Performance," EERC Working Paper Series 06-09e, EERC Research Network, Russia and CIS.
    15. Alexander Libman, 2015. "Words or deeds: what matters? On the role of symbolic action in political decentralization," Empirical Economics, Springer, vol. 49(3), pages 801-838, November.
    16. Hochman, Gal & Tabakis, Chrysostomos & Zilberman, David, 2013. "The impact of international trade on institutions and infrastructure," Journal of Comparative Economics, Elsevier, vol. 41(1), pages 126-140.

  5. Maria Ponomareva & Ekaterina Zhuravskaya, 2004. "Federal Tax Arrears in Russia: Liquidity Problems, Federal Redistribution, or Regional Resistance?," Working Papers w0003, New Economic School (NES).

    Cited by:

    1. Koen Schoors & Konstantin Sonin, 2005. "Passive Creditors," William Davidson Institute Working Papers Series wp737, William Davidson Institute at the University of Michigan.
    2. Micklewright, John & Klugman, Jeni & Redmond, Gerry, 2002. "Poverty in the Transition: Social Expenditures and the Working-Age Poor," CEPR Discussion Papers 3389, C.E.P.R. Discussion Papers.
    3. Vasyl Kvartiuk & Thomas Herzfeld, 2021. "Redistributive Politics in Russia: The Political Economy of Agricultural Subsidies," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 63(1), pages 1-30, March.
    4. Lars P. Feld & Alexander Libman, 2007. "Strategic Tax Collection and Fiscal Decentralisation: The Case of Russia," CESifo Working Paper Series 2031, CESifo.
    5. Irina Slinko & Ekaterina Zhuravskaya & Evgeny Yakovlev, 2005. "Laws for Sale: Evidence from Russia," American Law and Economics Review, American Law and Economics Association, vol. 7(1), pages 284-318.
    6. Elena Jarocińska, 2010. "Intergovernmental grants in Russia," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 18(2), pages 405-427, April.
    7. Dilip Mookherjee & Pranab Bardhan, 2005. "Decentralization, Corruption And Government Accountability: An Overview," Boston University - Department of Economics - Working Papers Series WP2005-023, Boston University - Department of Economics, revised Jun 2005.
    8. Alejandro Esteller-Moré, 2011. "Is the tax administration just a money machine? Empirical evidence on redistributive politics," Economics of Governance, Springer, vol. 12(3), pages 275-299, September.
    9. Jorge Martinez-Vazquez & Santiago Lago-Peñas & Agnese Sacchi, 2015. "The Impact of Fiscal Decentralization: A Survey," Working papers 29, Società Italiana di Economia Pubblica.
    10. Mokhtari, Manouchehr & Grafova, Irina, 2007. "Corruption: Theory and evidence from the Russian Federation," Economic Systems, Elsevier, vol. 31(4), pages 412-422, December.
    11. Ariane Lambert-Mogiliansky & Konstantin Sonin & Ekaterina Zhuravskaya, 2007. "Are Russian Commercial Courts Biased? Evidence from a Bankruptcy Law Transplant," PSE-Ecole d'économie de Paris (Postprint) halshs-00754226, HAL.
    12. Ariane Lambert-Mogiliansky & Konstantin Sonin & Ekaterina Zhuravskaya, 2006. "Are Russian commercial courts biased?Evidence from a natural bankruptcy experiment," PSE Working Papers halshs-00590402, HAL.
    13. Vera Ivanova, 2018. "Spatial convergence of real wages in Russian cities," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(1), pages 1-30, July.
    14. Libman, Alexander, 2008. "Federalism and regionalism in transition countries: A survey," MPRA Paper 29196, University Library of Munich, Germany.
    15. Kvartiuk, V. & Herzfeld, T. & Ghukasyan, S., 2018. "The Political Economy of Russian Agricultural Subsidies," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277040, International Association of Agricultural Economists.
    16. Zakolyukina Anastasia, 2006. "Bankrtuptcy in Russia: External Management Performance," EERC Working Paper Series 06-09e, EERC Research Network, Russia and CIS.
    17. Sonin, Konstantin, 2010. "Provincial protectionism," Journal of Comparative Economics, Elsevier, vol. 38(2), pages 111-122, June.
    18. Alexander Libman, 2015. "Words or deeds: what matters? On the role of symbolic action in political decentralization," Empirical Economics, Springer, vol. 49(3), pages 801-838, November.
    19. Hochman, Gal & Tabakis, Chrysostomos & Zilberman, David, 2013. "The impact of international trade on institutions and infrastructure," Journal of Comparative Economics, Elsevier, vol. 41(1), pages 126-140.

Articles

  1. Khan, Shakeeb & Ponomareva, Maria & Tamer, Elie, 2016. "Identification of panel data models with endogenous censoring," Journal of Econometrics, Elsevier, vol. 194(1), pages 57-75.
    See citations under working paper version above.
  2. Chen, Xiaohong & Ponomareva, Maria & Tamer, Elie, 2014. "Likelihood inference in some finite mixture models," Journal of Econometrics, Elsevier, vol. 182(1), pages 87-99.
    See citations under working paper version above.
  3. Maria Ponomareva & Elie Tamer, 2011. "Misspecification in moment inequality models: back to moment equalities?," Econometrics Journal, Royal Economic Society, vol. 14(2), pages 186-203, July.

    Cited by:

    1. Hiroaki Kaido, 2014. "Asymptotically efficient estimation of weighted average derivatives with an interval censored variable," CeMMAP working papers 03/14, Institute for Fiscal Studies.
    2. Patrick Kline & Andres Santos, 2013. "Sensitivity to missing data assumptions: Theory and an evaluation of the U.S. wage structure," Quantitative Economics, Econometric Society, vol. 4(2), pages 231-267, July.
    3. Demet Yilmazkuday & Hakan Yilmazkuday, 2014. "The role of direct flights in trade costs," Globalization Institute Working Papers 179, Federal Reserve Bank of Dallas.
    4. Kaspar W thrich, 2013. "Set Identification of Generalized Linear Predictors in the Presence of Non-Classical Measurement Errors," Diskussionsschriften dp1304, Universitaet Bern, Departement Volkswirtschaft.
    5. Federico A. Bugni & Ivan A. Canay & Xiaoxia Shi, 2013. "Specification tests for partially identified models defined by moment inequalities," CeMMAP working papers CWP01/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Paul Novosad & Charlie Rafkin & Sam Asher, 2022. "Mortality Change among Less Educated Americans," American Economic Journal: Applied Economics, American Economic Association, vol. 14(4), pages 1-34, October.
    7. João Madeira & Nuno Palma, 2018. "Measuring Monetary Policy Deviations from the Taylor Rule," Economics Discussion Paper Series 1803, Economics, The University of Manchester.
    8. Yu‐Chin Hsu & Xiaoxia Shi, 2017. "Model‐selection tests for conditional moment restriction models," Econometrics Journal, Royal Economic Society, vol. 20(1), pages 52-85, February.
    9. Lixiong Li & D'esir'e K'edagni & Ismael Mourifi'e, 2020. "Discordant Relaxations of Misspecified Models," Papers 2012.11679, arXiv.org, revised Dec 2022.
    10. Arun Chandrasekhar & Victor Chernozhukov & Francesca Molinari & Paul Schrimpf, 2012. "Inference for best linear approximations to set identified functions," CeMMAP working papers CWP43/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Eric Weese, 2011. "Political Mergers as Coalition Formation," Working Papers 997, Economic Growth Center, Yale University.
    12. Fernando Borraz & Alberto Cavallo & Roberto Rigobon & Leandro Zipitría, 2012. "Distance and Political Boundaries:Estimating Border Effects under Inequality Constraints," Documentos de Trabajo (working papers) 1012, Department of Economics - dECON.
    13. Jorg Stoye, 2020. "A Simple, Short, but Never-Empty Confidence Interval for Partially Identified Parameters," Papers 2010.10484, arXiv.org, revised Dec 2020.
    14. Arie Beresteanu & Ilya Molchanov & Francesca Molinari, 2010. "Partial identification using random set theory," CeMMAP working papers CWP40/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    15. Magnac, Thierry, 2014. "Identification partielle: méthodes et conséquences pour les applications empiriques," TSE Working Papers 14-458, Toulouse School of Economics (TSE).
    16. Aradillas-Lopez, Andres, 2012. "Pairwise-difference estimation of incomplete information games," Journal of Econometrics, Elsevier, vol. 168(1), pages 120-140.
    17. Lee, Y-Y. & Bhattacharya, D., 2018. "Applied Welfare Analysis for Discrete Choice with Interval-data on Income," Cambridge Working Papers in Economics 1882, Faculty of Economics, University of Cambridge.
    18. Undral Byambadalai, 2022. "Identification and Inference for Welfare Gains without Unconfoundedness," Papers 2207.04314, arXiv.org.
    19. Nicky L. Grant & Richard J. Smith, 2018. "GEL-based inference with unconditional moment inequality restrictions," CeMMAP working papers 23/18, Institute for Fiscal Studies.
    20. Francesca Molinari, 2020. "Microeconometrics with Partial Identi?cation," CeMMAP working papers CWP15/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    21. Ciliberto, Federico & Miller, Amalia & Skyt Nielsen, Helena & Simonsen, Marianne, 2013. "Playing the Fertility Game at Work: An Equilibrium Model of Peer Effects," MPRA Paper 45914, University Library of Munich, Germany.
    22. Christian Bontemps & Thierry Magnac, 2017. "Set Identification, Moment Restrictions, and Inference," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 103-129, September.
    23. Donald W.K. Andrews & Xiaoxia Shi, 2011. "Nonparametric Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1840, Cowles Foundation for Research in Economics, Yale University.
    24. Eleni Aristodemou & Adam M. Rosen, 2022. "A discrete choice model for partially ordered alternatives," Quantitative Economics, Econometric Society, vol. 13(3), pages 863-906, July.
    25. Isaiah Andrews & Jonathan Roth & Ariel Pakes, 2023. "Inference for Linear Conditional Moment Inequalities," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(6), pages 2763-2791.
    26. Nicky L. Grant & Richard J. Smith, 2018. "GEL-based inference with unconditional moment inequality restrictions," CeMMAP working papers CWP23/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    27. Roy Allen & John Rehbeck, 2020. "Counterfactual and Welfare Analysis with an Approximate Model," Papers 2009.03379, arXiv.org.
    28. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    29. Andreas Tryphonides, 2017. "Set Identified Dynamic Economies and Robustness to Misspecification," Papers 1712.03675, arXiv.org, revised Jan 2018.
    30. Nicky L. Grant & Richard J. Smith, 2018. "GEL-Based Inference from Unconditional Moment Inequality Restrictions," Economics Discussion Paper Series 1802, Economics, The University of Manchester.
    31. Mathieu Marcoux & Thomas Russell & Yuanyuan Wan, 2023. "A Simple Specification Test for Models with Many Conditional Moment Inequalities," Working Papers tecipa-764, University of Toronto, Department of Economics.
    32. Victor Chernozhukov & Roberto Rigobon & Thomas M. Stoker, 2010. "Set identification and sensitivity analysis with Tobin regressors," Quantitative Economics, Econometric Society, vol. 1(2), pages 255-277, November.

  4. Khan, Shakeeb & Ponomareva, Maria & Tamer, Elie, 2011. "Sharpness in randomly censored linear models," Economics Letters, Elsevier, vol. 113(1), pages 23-25, October.

    Cited by:

    1. Andrew Chesher & Adam Rosen, 2016. "Characterizations of identified sets delivered by structural econometric models," CeMMAP working papers CWP44/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Fan, Yanqin & Liu, Ruixuan, 2018. "Partial identification and inference in censored quantile regression," Journal of Econometrics, Elsevier, vol. 206(1), pages 1-38.
    3. Chesher, Andrew & Kim, Dongwoo & Rosen, Adam M., 2023. "IV methods for Tobit models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1700-1724.
    4. Andrew Chesher & Adam Rosen, 2019. "Generalized Instrumental Variable Models, Methods, and Applications," CeMMAP working papers CWP41/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    5. Szydłowski, Arkadiusz, 2017. "Endogenously censored median regression with an application to benefit elasticity of US unemployment duration," Economics Letters, Elsevier, vol. 159(C), pages 42-45.
    6. Shosei Sakaguchi, 2020. "Partial Identification and Inference in Duration Models with Endogenous Censoring," CeMMAP working papers CWP8/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Shosei Sakaguchi, 2021. "Partial Identification and Inference in Duration Models with Endogenous Censoring," Papers 2107.00928, arXiv.org.
    8. Arkadiusz Szydlowski, 2017. "Stochastic processes of limited frequency and the effects of oversampling," Discussion Papers in Economics 17/04, Division of Economics, School of Business, University of Leicester.
    9. Irene Botosaru & Chris Muris, 2022. "Identification of time-varying counterfactual parameters in nonlinear panel models," Papers 2212.09193, arXiv.org, revised Nov 2023.

  5. Maria Ponomareva & Ekaterina Zhuravskaya, 2004. "Federal tax arrears in Russia Liquidity problems, federal redistribution or regional resistance?," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 12(3), pages 373-398, September.
    See citations under working paper version above.

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  1. New Economic School Alumni

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 5 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) 2011-05-07 2013-05-24 2019-06-10
  2. NEP-DCM: Discrete Choice Models (2) 2013-06-09 2019-06-10
  3. NEP-CIS: Confederation of Independent States (1) 2004-02-29
  4. NEP-GEO: Economic Geography (1) 2004-02-29
  5. NEP-ORE: Operations Research (1) 2019-06-10
  6. NEP-PBE: Public Economics (1) 2004-02-29

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, Maria Ponomareva 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.