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Saraswata Chaudhuri

Personal Details

First Name:Saraswata
Middle Name:
Last Name:Chaudhuri
Suffix:
RePEc Short-ID:pch552
http://saraswata.research.mcgill.ca/
Terminal Degree:2008 Department of Economics; University of Washington (from RePEc Genealogy)

Affiliation

(95%) Department of Economics
McGill University

Montréal, Canada
http://www.mcgill.ca/economics/
RePEc:edi:demcgca (more details at EDIRC)

(5%) Centre Interuniversitaire de Recherche en Économie Quantitative (CIREQ)

Montréal, Canada
http://www.cireqmontreal.com/
RePEc:edi:cdmtlca (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Saraswata Chaudhuri & Elaina Rose, 2009. "Estimating the Veteran Effect with Endogenous Schooling when Instruments are Potentially Weak," Working Papers UWEC-2009-07, University of Washington, Department of Economics.
  2. Eric Zivot & Saraswata Chaudhuri, 2009. "A Comment on Weak Instrument Robust Tests in GMM and the New Keynesian Phillips Curve," Working Papers UWEC-2008-23-P, University of Washington, Department of Economics.
  3. Saraswata Chaudhuri & Eric Zivot, 2008. "A new method of projection-based inference in GMM with weakly identified nuisance parameters," Working Papers UWEC-2008-26, University of Washington, Department of Economics.
  4. Saraswata Chaudhuri & Thomas Richardson & James Robins & Eric Zivot, 2007. "Split-Sample Score Tests in Linear Instrumental Variables Regression," Working Papers UWEC-2007-10, University of Washington, Department of Economics.
  5. Jyotsna Jalan & E.Somanathan & Saraswata Chaudhuri, 2006. "Demand for Environmental Quality: Survey Evidence on Drinking Water in Urban India," Working Papers UWEC-2007-09, University of Washington, Department of Economics.
  6. Jyotsna Jalan & E.Somanathan & Saraswata Chaudhuri, 2003. "Awareness and the demand for environmental quality: Drinking water in urban India," Indian Statistical Institute, Planning Unit, New Delhi Discussion Papers 03-05, Indian Statistical Institute, New Delhi, India.

Articles

  1. Chaudhuri, Saraswata, 2020. "On Efficiency Gains From Multiple Incomplete Subsamples," Econometric Theory, Cambridge University Press, vol. 36(3), pages 488-525, June.
  2. Chaudhuri, Saraswata & Renault, Eric, 2020. "Score tests in GMM: Why use implied probabilities?," Journal of Econometrics, Elsevier, vol. 219(2), pages 260-280.
  3. Chaudhuri, Saraswata & Frazier, David T. & Renault, Eric, 2018. "Indirect Inference with endogenously missing exogenous variables," Journal of Econometrics, Elsevier, vol. 205(1), pages 55-75.
  4. Saraswata Chaudhuri & David K. Guilkey, 2016. "GMM with Multiple Missing Variables," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(4), pages 678-706, June.
  5. Saraswata Chaudhuri & Eric Renault, 2015. "Shrinkage of Variance for Minimum Distance Based Tests," Econometric Reviews, Taylor & Francis Journals, vol. 34(3), pages 328-351, March.
  6. Chaudhuri, Saraswata & Zivot, Eric, 2011. "A new method of projection-based inference in GMM with weakly identified nuisance parameters," Journal of Econometrics, Elsevier, vol. 164(2), pages 239-251, October.
  7. Chaudhuri, Saraswata & Richardson, Thomas & Robins, James & Zivot, Eric, 2010. "A New Projection-Type Split-Sample Score Test In Linear Instrumental Variables Regression," Econometric Theory, Cambridge University Press, vol. 26(6), pages 1820-1837, December.
  8. Zivot, Eric & Chaudhuri, Saraswata, 2009. "Comment," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(3), pages 328-331.
  9. Jalan, Jyotsna & Somanathan, E. & Chaudhuri, Saraswata, 2009. "Awareness and the demand for environmental quality: survey evidence on drinking water in urban India," Environment and Development Economics, Cambridge University Press, vol. 14(6), pages 665-692, 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.

Working papers

  1. Saraswata Chaudhuri & Elaina Rose, 2009. "Estimating the Veteran Effect with Endogenous Schooling when Instruments are Potentially Weak," Working Papers UWEC-2009-07, University of Washington, Department of Economics.

    Cited by:

    1. Doko Tchatoka, Firmin, 2012. "On the validity of Durbin-Wu-Hausman tests for assessing partial exogeneity hypotheses with possibly weak instruments," Working Papers 15061, University of Tasmania, Tasmanian School of Business and Economics, revised 06 Jul 2012.
    2. Firmin Doko Tchatoka, 2014. "Specification Tests with Weak and Invalid Instruments," School of Economics Working Papers 2014-05, University of Adelaide, School of Economics.
    3. Deuchert, Eva & Huber, Martin, 2014. "A cautionary tale about control variables in IV estimation," FSES Working Papers 453, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    4. Christopher J. Bennett & Ricardas Zitikis, 2011. "Examining the Distributional Effects of Military Service on Earnings: A Test of Initial Dominance," Vanderbilt University Department of Economics Working Papers 1111, Vanderbilt University Department of Economics.

  2. Eric Zivot & Saraswata Chaudhuri, 2009. "A Comment on Weak Instrument Robust Tests in GMM and the New Keynesian Phillips Curve," Working Papers UWEC-2008-23-P, University of Washington, Department of Economics.

    Cited by:

    1. Chaudhuri, Saraswata & Zivot, Eric, 2011. "A new method of projection-based inference in GMM with weakly identified nuisance parameters," Journal of Econometrics, Elsevier, vol. 164(2), pages 239-251, October.
    2. Gary Koop & Luca Onorante, 2011. "Estimating Phillips Curves in Turbulent Times using the ECBs Survey of Professional Forecasters," Working Papers 1109, University of Strathclyde Business School, Department of Economics.
    3. Leandro M. Magnusson & Sophocles Mavroeidis, 2011. "Identification Using Stability Restrictions," Working Papers 1116, Tulane University, Department of Economics.

  3. Saraswata Chaudhuri & Eric Zivot, 2008. "A new method of projection-based inference in GMM with weakly identified nuisance parameters," Working Papers UWEC-2008-26, University of Washington, Department of Economics.

    Cited by:

    1. Leonardo Bursztyn & Georgy Egorov & Ruben Enikolopov & Maria Petrova, 2019. "Social Media and Xenophobia: Evidence from Russia," NBER Working Papers 26567, National Bureau of Economic Research, Inc.
    2. Khalaf, Lynda & Lin, Zhenjiang, 2021. "Projection-based inference with particle swarm optimization," Journal of Economic Dynamics and Control, Elsevier, vol. 128(C).
    3. Guerron-Quintana, Pablo & Inoue, Atsushi & Kilian, Lutz, 2017. "Impulse response matching estimators for DSGE models," Journal of Econometrics, Elsevier, vol. 196(1), pages 144-155.
    4. Tetsuya Kaji, 2019. "Theory of Weak Identification in Semiparametric Models," Papers 1908.10478, arXiv.org, revised Aug 2020.
    5. Dufour, Jean-Marie & Khalaf, Lynda & Kichian, Maral, 2010. "On the precision of Calvo parameter estimates in structural NKPC models," Journal of Economic Dynamics and Control, Elsevier, vol. 34(9), pages 1582-1595, September.
    6. Adam McCloskey, 2012. "Bonferroni-Based Size-Correction for Nonstandard Testing Problems," Working Papers 2012-16, Brown University, Department of Economics.
    7. Alastair R. Hall, 2015. "Econometricians Have Their Moments: GMM at 32," The Economic Record, The Economic Society of Australia, vol. 91(S1), pages 1-24, June.
    8. Antoine, Bertille & Renault, Eric, 2020. "Testing identification strength," Journal of Econometrics, Elsevier, vol. 218(2), pages 271-293.
    9. Stépahne Auray & Nicolas Lepage-Saucier & Purevdorj Tuvaandor, 2018. "Doubly Robust GMM Inference and Differentiated Products Demand Models," Working Papers 2018-13, Center for Research in Economics and Statistics.
    10. 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.
    11. 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.
    12. Daniel J. Lewis, 2018. "Robust inference in models identified via heteroskedasticity," Staff Reports 876, Federal Reserve Bank of New York.
    13. Juodis, Arturas & Sarafidis, Vasilis, 2020. "Online Supplement to An Incidental Parameters Free Inference Approach for Panels with Common Shocks," MPRA Paper 104908, University Library of Munich, Germany.
    14. Noud P.A. van Giersbergen, 2011. "Bootstrapping Subset Test Statistics in IV Regression," UvA-Econometrics Working Papers 11-08, Universiteit van Amsterdam, Dept. of Econometrics.
    15. Guerron-Quintana, Pablo A. & Inoue, Atsushi & Kilian, Lutz, 2009. "Frequentist Inference in Weakly Identified DSGE Models," CEPR Discussion Papers 7447, C.E.P.R. Discussion Papers.
    16. Gregory Cox, 2020. "Weak Identification with Bounds in a Class of Minimum Distance Models," Papers 2012.11222, arXiv.org.
    17. Guggenberger, Patrik & Ramalho, Joaquim J.S. & Smith, Richard J., 2012. "GEL statistics under weak identification," Journal of Econometrics, Elsevier, vol. 170(2), pages 331-349.
    18. Wang, Wenjie & Doko Tchatoka, Firmin, 2018. "On Bootstrap inconsistency and Bonferroni-based size-correction for the subset Anderson–Rubin test under conditional homoskedasticity," Journal of Econometrics, Elsevier, vol. 207(1), pages 188-211.
    19. Tchatoka, Firmin Doko, 2015. "Subset Hypotheses Testing And Instrument Exclusion In The Linear Iv Regression," Econometric Theory, Cambridge University Press, vol. 31(6), pages 1192-1228, December.
    20. Patrik Guggenberger & Frank Kleibergen & Sophocles Mavroeidis, 2021. "A Powerful Subvector Anderson Rubin Test in Linear Instrumental Variables Regression with Conditional Heteroskedasticity," Papers 2103.11371, arXiv.org, revised May 2021.
    21. Mikusheva, Anna, 2013. "Survey on statistical inferences in weakly-identified instrumental variable models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 29(1), pages 117-131.
    22. Prosper Donovon & Alastair R. Hall, 2015. "GMM and Indirect Inference: An appraisal of their connections and new results on their properties under second order identification," Economics Discussion Paper Series 1505, Economics, The University of Manchester.
    23. Cheng, Xu, 2015. "Robust inference in nonlinear models with mixed identification strength," Journal of Econometrics, Elsevier, vol. 189(1), pages 207-228.

  4. Saraswata Chaudhuri & Thomas Richardson & James Robins & Eric Zivot, 2007. "Split-Sample Score Tests in Linear Instrumental Variables Regression," Working Papers UWEC-2007-10, University of Washington, Department of Economics.

    Cited by:

    1. Chaudhuri, Saraswata & Zivot, Eric, 2011. "A new method of projection-based inference in GMM with weakly identified nuisance parameters," Journal of Econometrics, Elsevier, vol. 164(2), pages 239-251, October.
    2. Kapetanios, George & Khalaf, Lynda & Marcellino, Massimiliano, 2015. "Factor based identification-robust inference in IV regressions," CEPR Discussion Papers 10390, C.E.P.R. Discussion Papers.
    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. Daniel J. Lewis, 2018. "Robust inference in models identified via heteroskedasticity," Staff Reports 876, Federal Reserve Bank of New York.
    5. Noud P.A. van Giersbergen, 2011. "Bootstrapping Subset Test Statistics in IV Regression," UvA-Econometrics Working Papers 11-08, Universiteit van Amsterdam, Dept. of Econometrics.

  5. Jyotsna Jalan & E.Somanathan & Saraswata Chaudhuri, 2006. "Demand for Environmental Quality: Survey Evidence on Drinking Water in Urban India," Working Papers UWEC-2007-09, University of Washington, Department of Economics.

    Cited by:

    1. Chaikumbung, Mayula & Doucouliagos, Chris & Scarborough, Helen, 2018. "Institutions, Culture, and Wetland Values," IZA Discussion Papers 11848, Institute of Labor Economics (IZA).
    2. L. Venkatachalam, 2015. "Informal water markets and willingness to pay for water: a case study of the urban poor in Chennai City, India," International Journal of Water Resources Development, Taylor & Francis Journals, vol. 31(1), pages 134-145, March.

  6. Jyotsna Jalan & E.Somanathan & Saraswata Chaudhuri, 2003. "Awareness and the demand for environmental quality: Drinking water in urban India," Indian Statistical Institute, Planning Unit, New Delhi Discussion Papers 03-05, Indian Statistical Institute, New Delhi, India.

    Cited by:

    1. Jalan, Jyotsna & Somanathan, E., 2008. "The importance of being informed: Experimental evidence on demand for environmental quality," Journal of Development Economics, Elsevier, vol. 87(1), pages 14-28, August.
    2. Joyashree Roy, 2008. "Estimating the Economic Benefits of Arsenic Removal in India: A Case Study from West Bengal," Working Papers id:1380, eSocialSciences.
    3. Mahanta, Ratul & Chowdhury, Jayashree & Nath, Hiranya K., 2016. "Health costs of arsenic contamination of drinking water in Assam, India," Economic Analysis and Policy, Elsevier, vol. 49(C), pages 30-42.
    4. Jyotsna Jalan & E.Somanathan, 2004. "Being informed matters: Experimental evidence on the demand for environmental quality," Discussion Papers 04-08, Indian Statistical Institute, Delhi.
    5. Gauri Khanna, 2008. "The Impact on Child Health from Access to Water and Sanitation and Other Socioeconomic Factors," IHEID Working Papers 02-2008, Economics Section, The Graduate Institute of International Studies, revised Jan 2008.
    6. Pape, Andreas Duus & Seo, Misuk, 2015. "Reports of Water Quality Violations Induce Consumers to Buy Bottled Water," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 44(1), pages 1-16, April.
    7. Mukherjee, Sacchidananda & Chakraborty, Debashis, 2009. "Is there any relationship between Environmental Quality Index, Human Development Index and Economic Growth? Evidences from Indian States," MPRA Paper 17207, University Library of Munich, Germany.
    8. Devi, P. Indira, 2009. "Pesticide Application and Occupational Health Risks Among Farm Workers in Kerala-An Analysis Using Dose Response Function," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 64(4), pages 1-16.
    9. M. Genius & E. Hatzaki & E. Kouromichelaki & G. Kouvakis & S. Nikiforaki & K. Tsagarakis, 2008. "Evaluating Consumers’ Willingness to Pay for Improved Potable Water Quality and Quantity," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(12), pages 1825-1834, December.

Articles

  1. Chaudhuri, Saraswata, 2020. "On Efficiency Gains From Multiple Incomplete Subsamples," Econometric Theory, Cambridge University Press, vol. 36(3), pages 488-525, June.

    Cited by:

    1. Chaudhuri, Saraswata & Frazier, David T. & Renault, Eric, 2018. "Indirect Inference with endogenously missing exogenous variables," Journal of Econometrics, Elsevier, vol. 205(1), pages 55-75.

  2. Chaudhuri, Saraswata & Renault, Eric, 2020. "Score tests in GMM: Why use implied probabilities?," Journal of Econometrics, Elsevier, vol. 219(2), pages 260-280.

    Cited by:

    1. David T. Frazier & Eric Renault & Lina Zhang & Xueyan Zhao, 2020. "Weak Identification in Discrete Choice Models," Papers 2011.06753, arXiv.org, revised Jan 2021.
    2. Frazier, David T. & Renault, Eric & Zhang, Lina & Zhao, Xueyan, 2021. "Weak Identification in Discrete Choice Models," The Warwick Economics Research Paper Series (TWERPS) 1336, University of Warwick, Department of Economics.
    3. Saraswata Chaudhuri & Eric Renault, 2015. "Shrinkage of Variance for Minimum Distance Based Tests," Econometric Reviews, Taylor & Francis Journals, vol. 34(3), pages 328-351, March.

  3. Chaudhuri, Saraswata & Frazier, David T. & Renault, Eric, 2018. "Indirect Inference with endogenously missing exogenous variables," Journal of Econometrics, Elsevier, vol. 205(1), pages 55-75.

    Cited by:

    1. Sönksen, Jantje & Grammig, Joachim, 2021. "Empirical asset pricing with multi-period disaster risk: A simulation-based approach," Journal of Econometrics, Elsevier, vol. 222(1), pages 805-832.
    2. Lynda Khalaf & Beatriz Peraza López, 2020. "Simultaneous Indirect Inference, Impulse Responses and ARMA Models," Econometrics, MDPI, Open Access Journal, vol. 8(2), pages 1-26, April.
    3. Frazier, David T. & Oka, Tatsushi & Zhu, Dan, 2019. "Indirect inference with a non-smooth criterion function," Journal of Econometrics, Elsevier, vol. 212(2), pages 623-645.
    4. Yamana Kazufumi, 2020. "Monte Carlo Evidence on the Estimation Method for Industry Dynamics," Journal of Econometric Methods, De Gruyter, vol. 9(1), pages 1-12, January.

  4. Saraswata Chaudhuri & David K. Guilkey, 2016. "GMM with Multiple Missing Variables," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(4), pages 678-706, June.

    Cited by:

    1. Saraswata Chaudhuriy & David T. Frazierz & Eric Renault, 2016. "Indirect Inference with Endogenously Missing Exogenous Variables," CIRANO Working Papers 2016s-15, CIRANO.
    2. Minji Bang & Wayne Gao & Andrew Postlewaite & Holger Sieg, 2021. "Using Monotonicity Restrictions to Identify Models with Partially Latent Covariates," NBER Working Papers 28436, National Bureau of Economic Research, Inc.
    3. Rocha, Leonardo Andrade & Silva, Napiê Galvê Araújo & Almeida, Carlo Alano Soares de & Oliveira, Denison Murilo de & Fernandes, Kaio César, 2020. "Growth and heterogeneity of human capital: effects of the expansion of higher education on the income increase in Brazilian municipalities," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    4. Ryo Kato & Takahiro Hoshino, 2020. "Semiparametric Bayesian Instrumental Variables Estimation for Nonignorable Missing Instruments," Discussion Paper Series DP2020-06, Research Institute for Economics & Business Administration, Kobe University.
    5. Chaudhuri, Saraswata & Frazier, David T. & Renault, Eric, 2018. "Indirect Inference with endogenously missing exogenous variables," Journal of Econometrics, Elsevier, vol. 205(1), pages 55-75.

  5. Saraswata Chaudhuri & Eric Renault, 2015. "Shrinkage of Variance for Minimum Distance Based Tests," Econometric Reviews, Taylor & Francis Journals, vol. 34(3), pages 328-351, March.

    Cited by:

    1. Chaudhuri, Saraswata & Renault, Eric, 2020. "Score tests in GMM: Why use implied probabilities?," Journal of Econometrics, Elsevier, vol. 219(2), pages 260-280.

  6. Chaudhuri, Saraswata & Zivot, Eric, 2011. "A new method of projection-based inference in GMM with weakly identified nuisance parameters," Journal of Econometrics, Elsevier, vol. 164(2), pages 239-251, October.
    See citations under working paper version above.
  7. Chaudhuri, Saraswata & Richardson, Thomas & Robins, James & Zivot, Eric, 2010. "A New Projection-Type Split-Sample Score Test In Linear Instrumental Variables Regression," Econometric Theory, Cambridge University Press, vol. 26(6), pages 1820-1837, December.

    Cited by:

    1. Chaudhuri, Saraswata & Zivot, Eric, 2011. "A new method of projection-based inference in GMM with weakly identified nuisance parameters," Journal of Econometrics, Elsevier, vol. 164(2), pages 239-251, October.
    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.
    3. Noud P.A. van Giersbergen, 2011. "Bootstrapping Subset Test Statistics in IV Regression," UvA-Econometrics Working Papers 11-08, Universiteit van Amsterdam, Dept. of Econometrics.

  8. Jalan, Jyotsna & Somanathan, E. & Chaudhuri, Saraswata, 2009. "Awareness and the demand for environmental quality: survey evidence on drinking water in urban India," Environment and Development Economics, Cambridge University Press, vol. 14(6), pages 665-692, December.

    Cited by:

    1. E. Somanathan, 2010. "Effects of information on environmental quality in developing countries," Indian Statistical Institute, Planning Unit, New Delhi Discussion Papers 10-04, Indian Statistical Institute, New Delhi, India.
    2. Li, Fan & Zhou, Tao, 2020. "Effects of objective and subjective environmental pollution on well-being in urban China: A structural equation model approach," Social Science & Medicine, Elsevier, vol. 249(C).
    3. Jessoe, Katrina, 2013. "Improved source, improved quality? Demand for drinking water quality in rural India," Journal of Environmental Economics and Management, Elsevier, vol. 66(3), pages 460-475.
    4. Totoum, Armand & Fouéka Tagne, Sostaine Romuald & Ngouhouo Poufoun, Jonas, 2018. "Determinants of the avoidance behaviour of households to cope with unsafe drinking water: case study of Douala and Yaoundé in Cameroon," Review of Agricultural, Food and Environmental Studies, Institut National de la Recherche Agronomique (INRA), vol. 99(2), April.
    5. Totouom Fotue Luc Armand & Sostaine Romuald Foueka Tagne & Jonas Ngouhouo Poufoun, 2018. "Demand For Improved Water Quality: An Analysis of Averting Actions by Cameroonian Households," Working Papers 345, African Economic Research Consortium, Research Department.
    6. Service Opare, 2017. "Practising the past in the present: using Ghanaian indigenous methods for water quality determination in the contemporary era," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(6), pages 2217-2236, December.
    7. Ngawang Dendup & Toshi H. Arimura, 2018. "Information Leverage: The Adoption of Clean Cooking Fuel in Bhutan," RIEEM Discussion Paper Series 1801, Research Institute for Environmental Economics and Management, Waseda University.
    8. Chaikumbung, Mayula & Doucouliagos, Chris & Scarborough, Helen, 2018. "Institutions, Culture, and Wetland Values," IZA Discussion Papers 11848, Institute of Labor Economics (IZA).
    9. Sheila M. Olmstead, 2010. "The Economics of Water Quality," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 4(1), pages 44-62, Winter.
    10. Yusep Suparman & Henk Folmer & Johan H.L. Oud, 2016. "The willingness to pay for in-house piped water in urban and rural Indonesia," Papers in Regional Science, Wiley Blackwell, vol. 95(2), pages 407-426, June.

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 6 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (2) 2007-05-12 2009-01-03
  2. NEP-ENV: Environmental Economics (2) 2004-01-08 2007-05-12
  3. NEP-LAB: Labour Economics (2) 2009-03-14 2009-07-03
  4. NEP-CWA: Central & Western Asia (1) 2007-05-12

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