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)

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. Bo E Honoré & Áureo de Paula, 2021. "Identification in simple binary outcome panel data models," The Econometrics Journal, Royal Economic Society, vol. 24(2), pages 78-93.
      • 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.
   2. 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.
      • Isaiah Andrews & Jonathan Roth & Ariel Pakes, 2019. "Inference for Linear Conditional Moment Inequalities," Papers 1909.10062, arXiv.org, revised Dec 2022.
      • Isaiah Andrews & Jonathan Roth & Ariel Pakes, 2019. "Inference for Linear Conditional Moment Inequalities," NBER Working Papers 26374, National Bureau of Economic Research, Inc.
   3. 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.
   4. 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.
   5. Chris Muris & Pedro Raposo & Sotiris Vandoros, 2020. "A dynamic ordered logit model with fixed effects," Papers 2008.05517, arXiv.org.
      • Chris Muris & Pedro Raposo & Sotiris Vandoros, 2020. "A Dynamic Ordered Logit Model with Fixed Effects," Department of Economics Working Papers 2020-14, McMaster University.
   6. Bo E. Honoré & Martin Weidner, 2021. "Moment Conditions for Dynamic Panel Logit Models with Fixed Effects," Working Papers 2021-79, Princeton University. Economics Department..
   7. 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.
      • Irene Botosaru & Chris Muris & Krishna Pendakur, 2020. "Identification of Time-Varying Transformation Models with Fixed Effects, with an Application to Unobserved Heterogeneity in Resource Shares," Papers 2008.05507, arXiv.org, revised Apr 2021.
   8. 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.
   9. 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.
   10. Irene Botosaru & Chris Muris & Krishna Pendakur, 2020. "Intertemporal Collective Household Models: Identification in Short Panels with Unobserved Heterogeneity in Resource Shares," CeMMAP working papers CWP26/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
       • 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.

2. Xiaohong Chen & Maria Ponomareva & Elie Tamer, 2013. "Likelihood inference in some finite mixture models," CeMMAP working papers 19/13, Institute for Fiscal Studies.
   • Chen, Xiaohong & Ponomareva, Maria & Tamer, Elie, 2014. "Likelihood inference in some finite mixture models," Journal of Econometrics, Elsevier, vol. 182(1), pages 87-99.
   • Xiaohong Chen & Maria Ponomareva & Elie Tamer, 2013. "Likelihood Inference in Some Finite Mixture Models," Cowles Foundation Discussion Papers 1895, Cowles Foundation for Research in Economics, Yale University.
   • Xiaohong Chen & Maria Ponomareva & Elie Tamer, 2013. "Likelihood inference in some finite mixture models," CeMMAP working papers CWP19/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

   Cited by:

   1. 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.
   2. 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.
      • Donald W. K. Andrews & Patrik Guggenberger, 2015. "Identification- and Singularity-Robust Inference for Moment Condition," Cowles Foundation Discussion Papers 1978R, Cowles Foundation for Research in Economics, Yale University, revised Oct 2018.
      • Donald W. K. Andrews & Patrik Guggenberger, 2015. "Identification- and Singularity-Robust Inference for Moment Condition," Cowles Foundation Discussion Papers 1978, Cowles Foundation for Research in Economics, Yale University.
   3. 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.
      • Sergei Koulayev & Marc Rysman & Scott Schuh & Joanna Stavins, 2012. "Explaining adoption and use of payment instruments by U. S. consumers," Working Papers 12-14, Federal Reserve Bank of Boston.
      • Sergei Koulayev & Marc Rysman & Scott Schuh & Joanna Stavins, 2015. "Explaining adoption and use of payment instruments by U.S. consumers," Boston University - Department of Economics - Working Papers Series wp2015-004, Boston University - Department of Economics.
   4. 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.
   5. Hiroyuki Kasahara & Katsumi Shimotsu, 2018. "Testing the Number of Regimes in Markov Regime Switching Models," Papers 1801.06862, arXiv.org, revised Jan 2018.
   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. Cheng, Xu, 2015. "Robust inference in nonlinear models with mixed identification strength," Journal of Econometrics, Elsevier, vol. 189(1), pages 207-228.
   10. 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.
   11. Jiaying Gu & Roger Koenker & Stanislav Volgushev, 2017. "Testing for homogeneity in mixture models," CeMMAP working papers 39/17, Institute for Fiscal Studies.
   12. 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.

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.
   • 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.
   • Khan, Shakeeb & Ponomareva, Maria & Tamer, Elie, 2011. "Identification of Panel Data Models with Endogenous Censoring," MPRA Paper 30373, University Library of Munich, Germany.

   Cited by:

   1. Daniel Wilhelm, 2015. "Identification and estimation of nonparametric panel data regressions with measurement error," CeMMAP working papers 34/15, Institute for Fiscal Studies.
   2. 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.
   3. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
      • Francesca Molinari, 2020. "Microeconometrics with Partial Identi?cation," CeMMAP working papers CWP15/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
   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. Khan, Shakeeb & Ponomareva, Maria & Tamer, Elie, 2011. "Sharpness in randomly censored linear models," Economics Letters, Elsevier, vol. 113(1), pages 23-25, October.
   6. 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.
      • Irene Botosaru & Chris Muris & Krishna Pendakur, 2020. "Identification of Time-Varying Transformation Models with Fixed Effects, with an Application to Unobserved Heterogeneity in Resource Shares," Papers 2008.05507, arXiv.org, revised Apr 2021.
   7. 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.
      • Lee, Sokbae & Song, Kyungchul & Whang, Yoon-Jae, 2018. "Testing For A General Class Of Functional Inequalities," Econometric Theory, Cambridge University Press, vol. 34(5), pages 1018-1064, October.
      • Sokbae Lee & Kyungchul Song & Yoon-Jae Whang, 2014. "Testing For A General Class Of Functional Inequalities," KIER Working Papers 889, Kyoto University, Institute of Economic Research.
   8. 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.
      • Yoonseok Lee & Sung Jae Jun & Youngki Shin, 2014. "Treatment Effects with Unobserved Heterogeneity: A Set Identification Approach," Center for Policy Research Working Papers 169, Center for Policy Research, Maxwell School, Syracuse University.
   9. Shakeeb Khan & Fu Ouyang & Elie Tamer, 2021. "Inference on semiparametric multinomial response models," Quantitative Economics, Econometric Society, vol. 12(3), pages 743-777, July.
   10. 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.
   11. 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.
   12. Sule Alan & Bo E. Honore & Luojia Hu & Soren Leth-Petersen, 2011. "Estimation of panel data regression models with two-sided censoring or truncation," Working Paper Series WP-2011-08, Federal Reserve Bank of Chicago.
       • 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.
   13. 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.
   14. Fan, Yanqin & Liu, Ruixuan, 2018. "Partial identification and inference in censored quantile regression," Journal of Econometrics, Elsevier, vol. 206(1), pages 1-38.
   15. Shakeeb Khan & Fu Ouyang & Elie Tamer, 2020. "Inference on Semiparametric Multinomial Response Models," Discussion Papers Series 627, School of Economics, University of Queensland, Australia.
   16. 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.
   17. Irene Botosaru & Chris Muris & Krishna Pendakur, 2020. "Intertemporal Collective Household Models: Identification in Short Panels with Unobserved Heterogeneity in Resource Shares," CeMMAP working papers CWP26/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
       • 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.
   18. Irene Botosaru & Chris Muris, 2022. "Identification of time-varying counterfactual parameters in nonlinear panel models," Papers 2212.09193, arXiv.org, revised Nov 2023.
   19. 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.

4. Maria Ponomareva & Ekaterina Zhuravskaya, 2004. "Federal Tax Arrears in Russia: Liquidity Problems, Federal Redistribution, or Regional Resistance?," Working Papers w0003, New Economic School (NES).
   • 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.
   • Maria Ponomareva & Ekaterina Zhuravskaya, 2004. "Federal Tax Arrears in Russia: Liquidity Problems, Federal Redistribution, or Regional Resistance?," Working Papers w0003, Center for Economic and Financial Research (CEFIR).

   Cited by:

   1. Ariane Lambert-Mogiliansky & Konstantin Sonin & Ekaterina Zhuravskaya, 2007. "Are Russian Commercial Courts Biased? Evidence from a Bankruptcy Law Transplant," Working Papers w0099, Center for Economic and Financial Research (CEFIR).
      • Ariane Lambert-Mogiliansky & Konstantin Sonin & Ekaterina Zhuravskaya, 2007. "Are Russian Commercial Courts Biased? Evidence from a Bankruptcy Law Transplant," Working Papers w0099, New Economic School (NES).
      • Lambert-Mogiliansky, Ariane & Sonin, Konstantin & Zhuravskaya, Ekaterina, 2007. "Are Russian commercial courts biased? Evidence from a bankruptcy law transplant," Journal of Comparative Economics, Elsevier, vol. 35(2), pages 254-277, June.
      • Ariane Lambert-Mogiliansky & Konstantin Sonin & Ekaterina Zhuravskaya, 2007. "Are Russian Commercial Courts Biased? Evidence from a Bankruptcy Law Transplant," Post-Print halshs-00754226, HAL.
      • 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.
   2. 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.
   3. Koen Schoors & Konstantin Sonin, 2005. "Passive Creditors," William Davidson Institute Working Papers Series wp737, William Davidson Institute at the University of Michigan.
      • K. Schoors & K. Sonin, 2003. "Passive Creditors," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 03/177, Ghent University, Faculty of Economics and Business Administration.
      • Sonin, Konstantin & Schoors, Koen, 2004. "Passive Creditors," CEPR Discussion Papers 4821, C.E.P.R. Discussion Papers.
      • Koen Schoors & Konstantin Sonin, 2005. "Passive Creditors," International Finance, Wiley Blackwell, vol. 8(1), pages 57-86, March.
      • Koen Schoors & Konstantin Sonin, 2005. "Passive Creditors," Working Papers w0015, Center for Economic and Financial Research (CEFIR).
   4. Alexander Libman & Lars P. Feld, 2013. "Strategic Tax Collection and Fiscal Decentralization: The Case of Russia," German Economic Review, Verein für Socialpolitik, vol. 14(4), pages 449-482, November.
      • Libman Alexander & Feld Lars P., 2013. "Strategic Tax Collection and Fiscal Decentralization: The Case of Russia," German Economic Review, De Gruyter, vol. 14(4), pages 449-482, December.
      • Alexander Libman & Lars P. Feld, 2009. "Strategic tax collection and fiscal decentralization: the case of Russia," Working Papers 2009/11, Institut d'Economia de Barcelona (IEB).
      • Lars P. Feld & Alexander Libman, 2007. "Strategic Tax Collection and Fiscal Decentralisation: The Case of Russia," CESifo Working Paper Series 2031, CESifo.
      • Alexander Libman & Lars P. Feld, 2007. "Strategic Tax Collection and Fiscal Decentralisation: The Case of Russia," CREMA Working Paper Series 2007-09, Center for Research in Economics, Management and the Arts (CREMA).
   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.
      • Irina Slinko & Evgeny Yakovlev & Ekaterina Zhuravskaya, 2003. "Laws for Sale: Evidence from Russia," Working Papers w0031, New Economic School (NES).
      • Irina Slinko & Evgeny Yakovlev & Ekaterina Zhuravskaya, 2003. "Laws for Sale: Evidence from Russia," Working Papers w0031, Center for Economic and Financial Research (CEFIR).
      • Irina Slinko & Evgeny Yakovlev & Ekaterina Zhuravskaya, 2004. "Laws for Sale: Evidence from Russia," Economics Working Papers 0046, Institute for Advanced Study, School of Social Science.
   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.
      • Elena Jarocinska, 2008. "Are Intergovernmental Grants Tactical? The Evidence from Russia," CASE Network Studies and Analyses 0361, CASE-Center for Social and Economic Research.
   7. Mokhtari, Manouchehr & Grafova, Irina, 2007. "Corruption: Theory and evidence from the Russian Federation," Economic Systems, Elsevier, vol. 31(4), pages 412-422, December.
   8. Sonin, Konstantin, 2003. "Provincial Protectionism," CEPR Discussion Papers 3973, C.E.P.R. Discussion Papers.
      • Sonin, Konstantin, 2010. "Provincial protectionism," Journal of Comparative Economics, Elsevier, vol. 38(2), pages 111-122, June.
   9. Ariane Lambert-Mogiliansky & Konstantin Sonin & Ekaterina Zhuravskaya, 2006. "Are Russian commercial courts biased?Evidence from a natural bankruptcy experiment," Working Papers halshs-00590402, HAL.
      • Zhuravskaya, Ekaterina & Sonin, Konstantin & Lambert-Mogiliansky, Ariane, 2006. "Are Russian Commercial Courts Biased? Evidence from a Natural Bankruptcy Experiment," CEPR Discussion Papers 5998, C.E.P.R. Discussion Papers.
      • 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.
   10. Jeni Klugman & John Micklewright & Gerry Redmond, 2002. "Poverty in the Transition: Social expenditures and the working-age poor," Papers inwopa02/18, Innocenti Working Papers.
       • 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.
   11. 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.
       • Pranab Bardhan & Dilip Mookherjee, 2005. "Decentralization, Corruption and Government Accountability: An Overview," Boston University - Department of Economics - The Institute for Economic Development Working Papers Series dp-152, Boston University - Department of Economics.
   12. Zakolyukina Anastasia, 2006. "Bankrtuptcy in Russia: External Management Performance," EERC Working Paper Series 06-09e, EERC Research Network, Russia and CIS.
   13. Jorge Martinez-Vazquez & Santiago Lago-Peñas & Agnese Sacchi, 2015. "The Impact of Fiscal Decentralization: A Survey," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper1502, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
       • Jorge Martinez-Vazquez & Santiago Lago-Peñas & Agnese Sacchi, 2015. "The Impact of Fiscal Decentralization: A Survey," Working papers 29, Società Italiana di Economia Pubblica.
       • Jorge Martinez-Vazquez & Santiago Lago-Peñas & Agnese Sacchi, 2015. "The Impact of Fiscal Decentralization: A Survey," Working Papers. Collection A: Public economics, governance and decentralization 1505, Universidade de Vigo, GEN - Governance and Economics research Network.
       • Jorge Martinez-Vazquez & Santiago Lago-Peñas & Agnese Sacchi, 2017. "The Impact Of Fiscal Decentralization: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 31(4), pages 1095-1129, September.
   14. 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.
   15. Kvartiuk, Vasyl & Herzfeld, Thomas, 2021. "Redistributive politics in Russia: The political economy of agricultural subsidies," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 63(1), pages 1-30.
       • 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.
   16. 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.
   17. 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.
   18. Libman, Alexander, 2008. "Federalism and regionalism in transition countries: A survey," MPRA Paper 29196, University Library of Munich, Germany.
   19. 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.

5. 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. Ariane Lambert-Mogiliansky & Konstantin Sonin & Ekaterina Zhuravskaya, 2007. "Are Russian Commercial Courts Biased? Evidence from a Bankruptcy Law Transplant," Working Papers w0099, Center for Economic and Financial Research (CEFIR).
      • Ariane Lambert-Mogiliansky & Konstantin Sonin & Ekaterina Zhuravskaya, 2007. "Are Russian Commercial Courts Biased? Evidence from a Bankruptcy Law Transplant," Working Papers w0099, New Economic School (NES).
      • Lambert-Mogiliansky, Ariane & Sonin, Konstantin & Zhuravskaya, Ekaterina, 2007. "Are Russian commercial courts biased? Evidence from a bankruptcy law transplant," Journal of Comparative Economics, Elsevier, vol. 35(2), pages 254-277, June.
      • Ariane Lambert-Mogiliansky & Konstantin Sonin & Ekaterina Zhuravskaya, 2007. "Are Russian Commercial Courts Biased? Evidence from a Bankruptcy Law Transplant," Post-Print halshs-00754226, HAL.
      • 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.
   2. 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.
   3. Koen Schoors & Konstantin Sonin, 2005. "Passive Creditors," William Davidson Institute Working Papers Series wp737, William Davidson Institute at the University of Michigan.
      • K. Schoors & K. Sonin, 2003. "Passive Creditors," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 03/177, Ghent University, Faculty of Economics and Business Administration.
      • Sonin, Konstantin & Schoors, Koen, 2004. "Passive Creditors," CEPR Discussion Papers 4821, C.E.P.R. Discussion Papers.
      • Koen Schoors & Konstantin Sonin, 2005. "Passive Creditors," International Finance, Wiley Blackwell, vol. 8(1), pages 57-86, March.
      • Koen Schoors & Konstantin Sonin, 2005. "Passive Creditors," Working Papers w0015, Center for Economic and Financial Research (CEFIR).
   4. Alexander Libman & Lars P. Feld, 2013. "Strategic Tax Collection and Fiscal Decentralization: The Case of Russia," German Economic Review, Verein für Socialpolitik, vol. 14(4), pages 449-482, November.
      • Libman Alexander & Feld Lars P., 2013. "Strategic Tax Collection and Fiscal Decentralization: The Case of Russia," German Economic Review, De Gruyter, vol. 14(4), pages 449-482, December.
      • Alexander Libman & Lars P. Feld, 2009. "Strategic tax collection and fiscal decentralization: the case of Russia," Working Papers 2009/11, Institut d'Economia de Barcelona (IEB).
      • Lars P. Feld & Alexander Libman, 2007. "Strategic Tax Collection and Fiscal Decentralisation: The Case of Russia," CESifo Working Paper Series 2031, CESifo.
      • Alexander Libman & Lars P. Feld, 2007. "Strategic Tax Collection and Fiscal Decentralisation: The Case of Russia," CREMA Working Paper Series 2007-09, Center for Research in Economics, Management and the Arts (CREMA).
   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.
      • Irina Slinko & Evgeny Yakovlev & Ekaterina Zhuravskaya, 2003. "Laws for Sale: Evidence from Russia," Working Papers w0031, New Economic School (NES).
      • Irina Slinko & Evgeny Yakovlev & Ekaterina Zhuravskaya, 2003. "Laws for Sale: Evidence from Russia," Working Papers w0031, Center for Economic and Financial Research (CEFIR).
      • Irina Slinko & Evgeny Yakovlev & Ekaterina Zhuravskaya, 2004. "Laws for Sale: Evidence from Russia," Economics Working Papers 0046, Institute for Advanced Study, School of Social Science.
   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.
      • Elena Jarocinska, 2008. "Are Intergovernmental Grants Tactical? The Evidence from Russia," CASE Network Studies and Analyses 0361, CASE-Center for Social and Economic Research.
   7. Mokhtari, Manouchehr & Grafova, Irina, 2007. "Corruption: Theory and evidence from the Russian Federation," Economic Systems, Elsevier, vol. 31(4), pages 412-422, December.
   8. 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.
      • Pranab Bardhan & Dilip Mookherjee, 2005. "Decentralization, Corruption and Government Accountability: An Overview," Boston University - Department of Economics - The Institute for Economic Development Working Papers Series dp-152, Boston University - Department of Economics.
   9. Zakolyukina Anastasia, 2006. "Bankrtuptcy in Russia: External Management Performance," EERC Working Paper Series 06-09e, EERC Research Network, Russia and CIS.
   10. Jorge Martinez-Vazquez & Santiago Lago-Peñas & Agnese Sacchi, 2015. "The Impact of Fiscal Decentralization: A Survey," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper1502, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
       • Jorge Martinez-Vazquez & Santiago Lago-Peñas & Agnese Sacchi, 2015. "The Impact of Fiscal Decentralization: A Survey," Working papers 29, Società Italiana di Economia Pubblica.
       • Jorge Martinez-Vazquez & Santiago Lago-Peñas & Agnese Sacchi, 2015. "The Impact of Fiscal Decentralization: A Survey," Working Papers. Collection A: Public economics, governance and decentralization 1505, Universidade de Vigo, GEN - Governance and Economics research Network.
       • Jorge Martinez-Vazquez & Santiago Lago-Peñas & Agnese Sacchi, 2017. "The Impact Of Fiscal Decentralization: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 31(4), pages 1095-1129, September.
   11. 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.
   12. Kvartiuk, Vasyl & Herzfeld, Thomas, 2021. "Redistributive politics in Russia: The political economy of agricultural subsidies," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 63(1), pages 1-30.
       • 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.
   13. 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.
   14. 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.
   15. Libman, Alexander, 2008. "Federalism and regionalism in transition countries: A survey," MPRA Paper 29196, University Library of Munich, Germany.
   16. 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.

Articles

1. Khan, S. & Ponomareva, M. & Tamer, E., 2023. "Identification of dynamic binary response models," Journal of Econometrics, Elsevier, vol. 237(1).

   Cited by:

   1. Andrew Chesher & Adam Rosen & Yuanqi Zhang, 2024. "Robust analysis of short panels," CeMMAP working papers 01/24, Institute for Fiscal Studies.
      • Andrew Chesher & Adam M. Rosen & Yuanqi Zhang, 2024. "Robust Analysis of Short Panels," Papers 2401.06611, arXiv.org.

2. 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.
   • Shakeeb Khan & Maria Ponomareva & Elie Tamer, 2011. "Identification of Panel Data Models with Endogenous Censoring," Working Papers 11-07, Duke University, Department of Economics.
   • Khan, Shakeeb & Ponomareva, Maria & Tamer, Elie, 2011. "Identification of Panel Data Models with Endogenous Censoring," MPRA Paper 30373, University Library of Munich, Germany.
   See citations under working paper version above.
3. Chen, Xiaohong & Ponomareva, Maria & Tamer, Elie, 2014. "Likelihood inference in some finite mixture models," Journal of Econometrics, Elsevier, vol. 182(1), pages 87-99.
   • Xiaohong Chen & Maria Ponomareva & Elie Tamer, 2013. "Likelihood Inference in Some Finite Mixture Models," Cowles Foundation Discussion Papers 1895, Cowles Foundation for Research in Economics, Yale University.
   • Xiaohong Chen & Maria Ponomareva & Elie Tamer, 2013. "Likelihood inference in some finite mixture models," CeMMAP working papers CWP19/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
   • Xiaohong Chen & Maria Ponomareva & Elie Tamer, 2013. "Likelihood inference in some finite mixture models," CeMMAP working papers 19/13, Institute for Fiscal Studies.
   See citations under working paper version above.
4. 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.
      • Hiroaki Kaido, 2013. "Asymptotically Efficient Estimation of Weighted Average Derivatives with an Inverval Censored Variable," Boston University - Department of Economics - Working Papers Series 2013-022, Boston University - Department of Economics.
      • Kaido, Hiroaki, 2017. "Asymptotically Efficient Estimation Of Weighted Average Derivatives With An Interval Censored Variable," Econometric Theory, Cambridge University Press, vol. 33(5), pages 1218-1241, October.
      • Hiroaki Kaido, 2014. "Asymptotically efficient estimation of weighted average derivatives with an interval censored variable," CeMMAP working papers CWP03/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
   2. 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.
      • Lee, Ying-Ying & Bhattacharya, Debopam, 2019. "Applied welfare analysis for discrete choice with interval-data on income," Journal of Econometrics, Elsevier, vol. 211(2), pages 361-387.
   3. Beresteanu, Arie & Molchanov, Ilya & Molinari, Francesca, 2012. "Partial identification using random set theory," Journal of Econometrics, Elsevier, vol. 166(1), pages 17-32.
      • 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.
   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.
      • Isaiah Andrews & Jonathan Roth & Ariel Pakes, 2019. "Inference for Linear Conditional Moment Inequalities," Papers 1909.10062, arXiv.org, revised Dec 2022.
      • Isaiah Andrews & Jonathan Roth & Ariel Pakes, 2019. "Inference for Linear Conditional Moment Inequalities," NBER Working Papers 26374, National Bureau of Economic Research, Inc.
   5. 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.
      • Fernando Borraz & Alberto Cavallo & Roberto Rigobon & Leandro Zipitría, 2012. "Distance and Political Boundaries: Estimating Border Effects under Inequality Constraints," NBER Working Papers 18122, National Bureau of Economic Research, Inc.
      • Fernando Borraz & Alberto Cavallo & Roberto Rigobon & Leandro Zipitría, 2012. "Distance and Political Boundaries. Estimating Border Effects under Inequality Constraints," Documentos de trabajo 2012001, Banco Central del Uruguay.
      • Fernando Borraz & Alberto Cavallo & Roberto Rigobon & Leandro Zipitria, 2016. "Distance and Political Boundaries: Estimating Border Effects under Inequality Constraints," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 21(1), pages 3-35, January.
   6. 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.
      • Patrick Kline & Andres Santos, 2010. "Sensitivity to Missing Data Assumptions: Theory and An Evaluation of the U.S. Wage Structure," NBER Working Papers 15716, National Bureau of Economic Research, Inc.
   7. Kedagni, Desire & Li, Lixiong & Mourifie, Ismael, 2021. "Discordant Relaxations of Misspecified Models," ISU General Staff Papers 202107280700001131, Iowa State University, Department of Economics.
      • Lixiong Li & D'esir'e K'edagni & Ismael Mourifi'e, 2020. "Discordant Relaxations of Misspecified Models," Papers 2012.11679, arXiv.org, revised Apr 2024.
   8. Undral Byambadalai, 2022. "Identification and Inference for Welfare Gains without Unconfoundedness," Papers 2207.04314, arXiv.org.
   9. Demet Yilmazkuday & Hakan Yilmazkuday, 2014. "The role of direct flights in trade costs," Globalization Institute Working Papers 179, Federal Reserve Bank of Dallas.
      • Demet Yilmazkuday & Hakan Yilmazkuday, 2017. "The role of direct flights in trade costs," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 153(2), pages 249-270, May.
      • Demet Yilmazkuday & Hakan Yilmazkuday, 2016. "The Role of Direct Flights in Trade Costs," Working Papers 1604, Florida International University, Department of Economics.
   10. 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.
   11. 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.
   12. Federico A. Bugni & Ivan A. Canay & Xiaoxia Shi, 2013. "Specification tests for partially identified models defined by moment inequalities," CeMMAP working papers 01/13, Institute for Fiscal Studies.
       • Federico A. Bugni & Ivan A. Canay & Xiaoxia Shi, 2014. "Specification tests for partially identified models defined by moment inequalities," CeMMAP working papers CWP19/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
       • 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.
       • Bugni, Federico A. & Canay, Ivan A. & Shi, Xiaoxia, 2015. "Specification tests for partially identified models defined by moment inequalities," Journal of Econometrics, Elsevier, vol. 185(1), pages 259-282.
   13. 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.
   14. Kaspar W thrich, 2013. "Set Identification of Generalized Linear Predictors in the Presence of Non-Classical Measurement Errors," Diskussionsschriften dp1304, Universitaet Bern, Departement Volkswirtschaft.
   15. 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.
   16. Francesca Molinari, 2020. "Microeconometrics with Partial Identification," Papers 2004.11751, arXiv.org.
       • Francesca Molinari, 2020. "Microeconometrics with Partial Identi?cation," CeMMAP working papers CWP15/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
   17. Arun Chandrasekhar & Victor Chernozhukov & Francesca Molinari & Paul Schrimpf, 2012. "Inference for best linear approximations to set identified functions," CeMMAP working papers 43/12, Institute for Fiscal Studies.
       • 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.
   18. Jorg Stoye, 2020. "A Simple, Short, but Never-Empty Confidence Interval for Partially Identified Parameters," Papers 2010.10484, arXiv.org, revised Dec 2020.
   19. 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.
   20. Christian Bontemps & Thierry Magnac, 2017. "Set identification, moment restrictions, and inference," Post-Print hal-01575813, HAL.
       • Bontemps, Christian & Magnac, Thierry, 2017. "Set Identification, Moment Restrictions and Inference," TSE Working Papers 16-752, Toulouse School of Economics (TSE).
       • Christian Bontemps & Thierry Magnac, 2017. "Set Identification, Moment Restrictions, and Inference," Annual Review of Economics, Annual Reviews, vol. 9(1), pages 103-129, September.
   21. Palma, Nuno & Madeira, João, 2018. "Measuring monetary policy deviations from the Taylor rule," CEPR Discussion Papers 12553, C.E.P.R. Discussion Papers.
       • Madeira, João & Palma, Nuno, 2018. "Measuring monetary policy deviations from the Taylor rule," Economics Letters, Elsevier, vol. 168(C), pages 25-27.
       • João Madeira & Nuno Palma, 2018. "Measuring Monetary Policy Deviations from the Taylor Rule," Economics Discussion Paper Series 1803, Economics, The University of Manchester.
   22. Roy Allen & John Rehbeck, 2020. "Counterfactual and Welfare Analysis with an Approximate Model," Papers 2009.03379, arXiv.org.
   23. Magnac, Thierry, 2013. "Identification partielle : méthodes et conséquences pour les applications empiriques," L'Actualité Economique, Société Canadienne de Science Economique, vol. 89(4), pages 233-258, Décembre.
       • Magnac, Thierry, 2014. "Identification partielle: méthodes et conséquences pour les applications empiriques," TSE Working Papers 14-458, Toulouse School of Economics (TSE).
       • Magnac, Thierry, 2014. "Identification partielle: méthodes et conséquences pour les applications empiriques," IDEI Working Papers 814, Institut d'Économie Industrielle (IDEI), Toulouse.
   24. Donald W.K. Andrews & Xiaoxia Shi, 2011. "Nonparametric Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1840R2, Cowles Foundation for Research in Economics, Yale University, revised Oct 2013.
       • Andrews, Donald W.K. & Shi, Xiaoxia, 2014. "Nonparametric inference based on conditional moment inequalities," Journal of Econometrics, Elsevier, vol. 179(1), pages 31-45.
       • Donald W.K. Andrews & Xiaoxia Shi, 2011. "Nonparametric Inference Based on Conditional Moment Inequalities," Cowles Foundation Discussion Papers 1840R, Cowles Foundation for Research in Economics, Yale University, revised Feb 2013.
       • 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.
   25. 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.
   26. Nicky L. Grant & Richard J. Smith, 2018. "GEL-based inference with unconditional moment inequality restrictions," CeMMAP working papers 23/18, Institute for Fiscal Studies.
   27. Francesca Molinari, 2019. "Econometrics with Partial Identification," CeMMAP working papers CWP25/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
   28. Eleni Aristodemou & Adam Rosen, 2019. "A discrete choice model for partially ordered alternatives," CeMMAP working papers CWP62/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
       • 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.
   29. Weese, Eric, 2011. "Political Mergers as Coalition Formation," Center Discussion Papers 107268, Yale University, Economic Growth Center.
       • Eric Weese, 2011. "Political Mergers as Coalition Formation," Working Papers 997, Economic Growth Center, Yale University.
   30. Andreas Tryphonides, 2017. "Set Identified Dynamic Economies and Robustness to Misspecification," Papers 1712.03675, arXiv.org, revised Jan 2018.
   31. 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.
       • Federico Ciliberto & Amalia R. Miller & Helena Skyt Nielsen & Marianne Simonsen, 2016. "Playing The Fertility Game At Work: An Equilibrium Model Of Peer Effects," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(3), pages 827-856, August.
       • , Helena Skyt Nielsen & Ciliberto, Federico & Miller, Amalia R & Simonsen, Marianne, 2013. "Playing the Fertility Game at Work: An Equilibrium Model of Peer Effects," CEPR Discussion Papers 9429, C.E.P.R. Discussion Papers.
   32. Aradillas-Lopez, Andres, 2012. "Pairwise-difference estimation of incomplete information games," Journal of Econometrics, Elsevier, vol. 168(1), pages 120-140.

5. 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, 2015. "Characterizations of identified sets delivered by structural econometric models," CeMMAP working papers 63/15, Institute for Fiscal Studies.
      • Andrew Chesher & Adam Rosen, 2016. "Characterizations of identified sets delivered by structural econometric models," CeMMAP working papers 44/16, Institute for Fiscal Studies.
      • Andrew Chesher & Adam Rosen, 2015. "Characterizations of identified sets delivered by structural econometric models," CeMMAP working papers CWP63/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
      • 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. 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.
      • Andrew Chesher & Adam Rosen, 2018. "Generalized instrumental variable models, methods, and applications," CeMMAP working papers CWP43/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
   3. Khan, S. & Ponomareva, M. & Tamer, E., 2023. "Identification of dynamic binary response models," Journal of Econometrics, Elsevier, vol. 237(1).
   4. 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.
   5. 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.
   6. 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.
   7. Shosei Sakaguchi, 2021. "Partial Identification and Inference in Duration Models with Endogenous Censoring," Papers 2107.00928, arXiv.org.
   8. Shosei Sakaguchi, 2024. "Partial identification and inference in duration models with endogenous censoring," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(2), pages 308-326, March.
   9. Andrew Chesher & Dongwoo Kim & Adam Rosen, 2021. "IV methods for Tobit models," CeMMAP working papers CWP26/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
      • Chesher, Andrew & Kim, Dongwoo & Rosen, Adam M., 2023. "IV methods for Tobit models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1700-1724.
   10. Fan, Yanqin & Liu, Ruixuan, 2018. "Partial identification and inference in censored quantile regression," Journal of Econometrics, Elsevier, vol. 206(1), pages 1-38.
   11. Irene Botosaru & Chris Muris, 2022. "Identification of time-varying counterfactual parameters in nonlinear panel models," Papers 2212.09193, arXiv.org, revised Nov 2023.

6. 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.
   • Maria Ponomareva & Ekaterina Zhuravskaya, 2004. "Federal Tax Arrears in Russia: Liquidity Problems, Federal Redistribution, or Regional Resistance?," Working Papers w0003, New Economic School (NES).
   • Maria Ponomareva & Ekaterina Zhuravskaya, 2004. "Federal Tax Arrears in Russia: Liquidity Problems, Federal Redistribution, or Regional Resistance?," Working Papers w0003, Center for Economic and Financial Research (CEFIR).
   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

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