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David Tomás Jacho-Chávez

Personal Details

First Name:David
Middle Name:Tomás
Last Name:Jacho-Chávez
Suffix:
RePEc Short-ID:pja134
https://sites.google.com/site/djachocha/
Emory University Economics Department 1602 Fishburne Drive Rich Bldg., 3rd Floor Atlanta, GA 30322 United States of America
Terminal Degree:2006 Economics Department; London School of Economics (LSE) (from RePEc Genealogy)

Affiliation

Department of Economics
Emory University

Atlanta, Georgia (United States)
http://www.economics.emory.edu/

:


RePEc:edi:deemous (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Ba M. Chu & Kim Huynh & David T. Jacho-Chávez & Oleksiy Kryvtsov, 2018. "On the Evolution of the United Kingdom Price Distributions," Staff Working Papers 18-25, Bank of Canada.
  2. Bravo, Francesco & Chu, Ba & Jacho-Chavez, David, 2013. "Semiparametric estimation of moment condition models with weakly dependent data," MPRA Paper 79686, University Library of Munich, Germany, revised 2016.
  3. Chu, Ba & Huynh, Kim & Jacho-Chavez, David, 2013. "Functionals of order statistics and their multivariate concomitants with application to semiparametric estimation by nearest neighbours," MPRA Paper 79670, University Library of Munich, Germany, revised 2012.
  4. Xiaohong Chen & David Jacho-Chávez & Oliver Linton, 2012. "Averaging of moment condition estimators," CeMMAP working papers CWP26/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  5. Juan Carlos Escanciano & David Jacho-Chavez & Arthur Lewbel, 2010. "Uniform Convergence of Weighted Sums of Non- and Semi-parametric Residuals for Estimation and Testing," Boston College Working Papers in Economics 756, Boston College Department of Economics, revised 31 Jan 2012.
  6. Chen, Xiaohong & Linton, Oliver & Jacho-Chávez, David T., 2009. "An alternative way of computing efficient instrumental variable estimators," LSE Research Online Documents on Economics 58016, London School of Economics and Political Science, LSE Library.
  7. David Jacho-Chavez & Arthur Lewbel & Oliver Linton, 2006. "Identification and Nonparametric Estimation of a Transformed Additively Separable Model," Boston College Working Papers in Economics 652, Boston College Department of Economics, revised 26 Nov 2008.

Articles

  1. Sabetti Leonard & Jacho-Chávez David T. & Petrunia Robert & Voia Marcel C., 2018. "Tail Risk in a Retail Payments System," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 238(3-4), pages 353-369, July.
  2. Francesco Bravo & Ba M. Chu & David T. Jacho-Chávez, 2017. "Semiparametric estimation of moment condition models with weakly dependent data," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 29(1), pages 108-136, January.
  3. Alexander L. Lundberg & Kim P. Huynh & David T. Jacho‐Chávez, 2017. "Income and Democracy: A Smooth Varying Coefficient Redux," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 719-724, April.
  4. Bravo, Francesco & Chu, Ba M. & Jacho-Chávez, David T., 2017. "Generalized empirical likelihood M testing for semiparametric models with time series data," Econometrics and Statistics, Elsevier, vol. 4(C), pages 18-30.
  5. Chen, Xiaohong & Jacho-Chávez, David T. & Linton, Oliver, 2016. "Averaging Of An Increasing Number Of Moment Condition Estimators," Econometric Theory, Cambridge University Press, vol. 32(01), pages 30-70, February.
  6. Huynh, Kim P. & Jacho-Chávez, David T. & Kryvtsov, Oleksiy & Shepotylo, Oleksandr & Vakhitov, Volodymyr, 2016. "The evolution of firm-level distributions for Ukrainian manufacturing firms," Journal of Comparative Economics, Elsevier, vol. 44(1), pages 148-162.
  7. Juan Carlos Escanciano & David Jacho‐Chávez & Arthur Lewbel, 2016. "Identification and estimation of semiparametric two‐step models," Quantitative Economics, Econometric Society, vol. 7(2), pages 561-589, July.
  8. Anson T. Y. Ho & Kim P. Huynh & David T. Jacho‐Chávez, 2016. "Flexible Estimation of Copulas: An Application to the US Housing Crisis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(3), pages 603-610, April.
  9. Kim P. Huynh & David T. Jacho-Chávez & James K. Self, 2015. "The Distributional Efficacy of Collaborative Learning on Student Outcomes," The American Economist, Sage Publications, vol. 60(2), pages 98-119, September.
  10. Kim Huynh & David Jacho-Chávez & Robert Petrunia & Marcel Voia, 2015. "A nonparametric analysis of firm size, leverage and labour productivity distribution dynamics," Empirical Economics, Springer, vol. 48(1), pages 337-360, February.
  11. Escanciano, Juan Carlos & Jacho-Chávez, David T. & Lewbel, Arthur, 2014. "Uniform convergence of weighted sums of non and semiparametric residuals for estimation and testing," Journal of Econometrics, Elsevier, vol. 178(P3), pages 426-443.
  12. Anson T.Y. Ho & Kim P. Huynh & David T. Jacho‐ChÁvez, 2014. "crs: A PACKAGE FOR NONPARAMETRIC SPLINE ESTIMATION IN R," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(2), pages 348-352, March.
  13. Escanciano, Juan Carlos & Jacho-Chávez, David T., 2012. "n-uniformly consistent density estimation in nonparametric regression models," Journal of Econometrics, Elsevier, vol. 167(2), pages 305-316.
  14. Chu, Ba & Jacho-Chávez, David T., 2012. "k-NEAREST NEIGHBOR ESTIMATION OF INVERSE-DENSITY-WEIGHTED EXPECTATIONS WITH DEPENDENT DATA," Econometric Theory, Cambridge University Press, vol. 28(04), pages 769-803, August.
  15. Francesco Bravo & David Jacho-Chavez, 2011. "Empirical Likelihood for Efficient Semiparametric Average Treatment Effects," Econometric Reviews, Taylor & Francis Journals, vol. 30(1), pages 1-24.
  16. Anson T. Y. Ho & Kim P. Huynh & David T. Jacho‐Chávez, 2011. "npRmpi: A package for parallel distributed kernel estimation in R," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(2), pages 344-349, March.
  17. Huynh, Kim P. & Jacho-Chávez, David T. & Petrunia, Robert J. & Voia, Marcel, 2011. "Functional Principal Component Analysis of Density Families With Categorical and Continuous Data on Canadian Entrant Manufacturing Firms," Journal of the American Statistical Association, American Statistical Association, vol. 106(495), pages 858-878.
  18. Jacho-Chávez, David Tomás, 2010. "Optimal Bandwidth Choice For Estimation Of Inverse Conditional–Density–Weighted Expectations," Econometric Theory, Cambridge University Press, vol. 26(01), pages 94-118, February.
  19. Escanciano, Juan Carlos & Jacho-Chávez, David T., 2010. "Approximating the critical values of Cramér-von Mises tests in general parametric conditional specifications," Computational Statistics & Data Analysis, Elsevier, vol. 54(3), pages 625-636, March.
  20. Kim P. Huynh & David T. Jacho‐Chávez, 2010. "Firm size distributions through the lens of functional principal components analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(7), pages 1211-1214, November/.
  21. Oliver Linton & David Jacho-Chávez, 2010. "On internally corrected and symmetrized kernel estimators for nonparametric regression," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 19(1), pages 166-186, May.
  22. Jacho-Chávez, David & Lewbel, Arthur & Linton, Oliver, 2010. "Identification and nonparametric estimation of a transformed additively separable model," Journal of Econometrics, Elsevier, vol. 156(2), pages 392-407, June.
  23. Kim P. Huynh & David T. Jacho-Chávez & James K. Self, 2010. "The Efficacy of Collaborative Learning Recitation Sessions on Student Outcomes," American Economic Review, American Economic Association, vol. 100(2), pages 287-291, May.
  24. Jacho-Chávez, David T., 2009. "Efficiency Bounds For Semiparametric Estimation Of Inverse Conditional-Density-Weighted Functions," Econometric Theory, Cambridge University Press, vol. 25(03), pages 847-855, June.
  25. Juan carlos Escanciano & David Jacho-chavez, 2009. "Uniform in Bandwidth Consistency of Smooth Varying Coefficient Estimators," Economics Bulletin, AccessEcon, vol. 29(3), pages 1889-1895.
  26. Huynh, Kim P. & Jacho-Chávez, David T., 2009. "Growth and governance: A nonparametric analysis," Journal of Comparative Economics, Elsevier, vol. 37(1), pages 121-143, March.
  27. David Jacho-Chávez, 2008. "k nearest-neighbor estimation of inverse density weighted expectations," Economics Bulletin, AccessEcon, vol. 3(48), pages 1-6.
  28. Kim Huynh & David Jacho-Chavez, 2007. "Conditional density estimation: an application to the Ecuadorian manufacturing sector," Economics Bulletin, AccessEcon, vol. 3(62), pages 1-6.

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.

Wikipedia mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Alexander L. Lundberg & Kim P. Huynh & David T. Jacho‐Chávez, 2017. "Income and Democracy: A Smooth Varying Coefficient Redux," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 719-724, April.

    Mentioned in:

    1. Income and Democracy: A Smooth Varying Coefficient Redux (JAE 2017) in ReplicationWiki ()
  2. Kim P. Huynh & David T. Jacho‐Chávez, 2010. "Firm size distributions through the lens of functional principal components analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(7), pages 1211-1214, November/.

    Mentioned in:

    1. Firm size distributions through the lens of functional principal components analysis (JAE 2010) in ReplicationWiki ()
  3. Anson T. Y. Ho & Kim P. Huynh & David T. Jacho‐Chávez, 2016. "Flexible Estimation of Copulas: An Application to the US Housing Crisis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(3), pages 603-610, April.

    Mentioned in:

    1. Flexible Estimation of Copulas: An Application to the US Housing Crisis (JAE 2016) in ReplicationWiki ()

Working papers

  1. Chu, Ba & Huynh, Kim & Jacho-Chavez, David, 2013. "Functionals of order statistics and their multivariate concomitants with application to semiparametric estimation by nearest neighbours," MPRA Paper 79670, University Library of Munich, Germany, revised 2012.

    Cited by:

    1. Bravo, Francesco & Chu, Ba & Jacho-Chavez, David, 2013. "Semiparametric estimation of moment condition models with weakly dependent data," MPRA Paper 79686, University Library of Munich, Germany, revised 2016.

  2. Xiaohong Chen & David Jacho-Chávez & Oliver Linton, 2012. "Averaging of moment condition estimators," CeMMAP working papers CWP26/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

    Cited by:

    1. Martins, Luis F. & Gabriel, Vasco J., 2014. "Linear instrumental variables model averaging estimation," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 709-724.

  3. Juan Carlos Escanciano & David Jacho-Chavez & Arthur Lewbel, 2010. "Uniform Convergence of Weighted Sums of Non- and Semi-parametric Residuals for Estimation and Testing," Boston College Working Papers in Economics 756, Boston College Department of Economics, revised 31 Jan 2012.

    Cited by:

    1. Le-Yu Chen & Sokbae (Simon) Lee & Myung Jae Sung, 2014. "Maximum score estimation with nonparametrically generated regressors," CeMMAP working papers CWP27/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Hoderlein, Stefan & Su, Liangjun & White, Halbert & Yang, Thomas Tao, 2016. "Testing for monotonicity in unobservables under unconfoundedness," Journal of Econometrics, Elsevier, vol. 193(1), pages 183-202.
    3. Giulia Bettin & Riccardo Lucchetti & Claudia Pigini, 2016. "State dependence and unobserved heterogeneity in a double hurdle model for remittances: evidence from immigrants to Germany," Mo.Fi.R. Working Papers 127, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    4. Enno Mammen & Christoph Rothe & Melanie Schienle, 2011. "Semiparametric Estimation with Generated Covariates," SFB 649 Discussion Papers SFB649DP2011-064, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    5. Shin Kanaya, 2015. "Uniform Convergence Rates of Kernel-Based Nonparametric Estimators for Continuous Time Diffusion Processes: A Damping Function Approach," CREATES Research Papers 2015-50, Department of Economics and Business Economics, Aarhus University.
    6. Ying-Ying Lee, 2015. "Efficient propensity score regression estimators of multi-valued treatment effects for the treated," Economics Series Working Papers 738, University of Oxford, Department of Economics.
    7. Gutknecht, Daniel, 2016. "Testing for monotonicity under endogeneity," Journal of Econometrics, Elsevier, vol. 190(1), pages 100-114.
    8. Bravo, Francesco & Chu, Ba & Jacho-Chavez, David, 2013. "Semiparametric estimation of moment condition models with weakly dependent data," MPRA Paper 79686, University Library of Munich, Germany, revised 2016.
    9. Reza, Sadat & Rilstone, Paul, 2014. "A simple root-N-consistent semiparametric estimator for discrete duration models," Statistics & Probability Letters, Elsevier, vol. 95(C), pages 150-154.
    10. Le-Yu Chen & Sokbae (Simon) Lee & Myung Jae Sung, 2013. "Maximum score estimation of preference parameters for a binary choice model under uncertainty," CeMMAP working papers CWP14/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    11. Anastasia Semykina, 2016. "Self-Employment among Women: Do Children Matter More Than We Previously Thought?," Working Papers wp2016_07_02, Department of Economics, Florida State University.
    12. Klein, Roger & Shen, Chan & Vella, Francis, 2015. "Estimation of marginal effects in semiparametric selection models with binary outcomes," Journal of Econometrics, Elsevier, vol. 185(1), pages 82-94.
    13. Juan Escanciano & Lin Zhu, 2015. "A Simple Data-Driven Estimator for the Semiparametric Sample Selection Model," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 734-762.
    14. Juan Carlos Escanciano & Stefan Hoderlein & Arthur Lewbel & Oliver Linton, 2015. "Nonparametric Euler Equation Identification andEstimation," Cambridge Working Papers in Economics 1560, Faculty of Economics, University of Cambridge.
    15. Roger Klein & Chan Shen & Francis Vella, 2014. "Semiiparametric Selection Models with Binary Outcomes," Departmental Working Papers 201403, Rutgers University, Department of Economics.
    16. Lee, Ying-Ying, 2018. "Efficient propensity score regression estimators of multivalued treatment effects for the treated," Journal of Econometrics, Elsevier, vol. 204(2), pages 207-222.
    17. Bravo, Francesco & Chu, Ba M. & Jacho-Chávez, David T., 2017. "Generalized empirical likelihood M testing for semiparametric models with time series data," Econometrics and Statistics, Elsevier, vol. 4(C), pages 18-30.
    18. Li, Hongjun & Li, Qi & Liu, Ruixuan, 2016. "Consistent model specification tests based on k-nearest-neighbor estimation method," Journal of Econometrics, Elsevier, vol. 194(1), pages 187-202.
    19. Ying-Ying Lee, 2014. "Partial Mean Processes with Generated Regressors: Continuous Treatment Effects and Nonseparable Models," Economics Series Working Papers 706, University of Oxford, Department of Economics.

  4. Chen, Xiaohong & Linton, Oliver & Jacho-Chávez, David T., 2009. "An alternative way of computing efficient instrumental variable estimators," LSE Research Online Documents on Economics 58016, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Neil Shephard & Kevin Sheppard & Robert F. Engle, 2008. "Fitting vast dimensional time-varying covariance models," Economics Series Working Papers 403, University of Oxford, Department of Economics.
    2. DiTraglia, Francis J., 2016. "Using invalid instruments on purpose: Focused moment selection and averaging for GMM," Journal of Econometrics, Elsevier, vol. 195(2), pages 187-208.
    3. Lorenzo Ricci & David Veredas, "undated". "TailCoR," ULB Institutional Repository 2013/136238, ULB -- Universite Libre de Bruxelles.
      • Lorenzo Ricci & David Veredas, 2012. "TailCoR," Working Papers 1227, Banco de España;Working Papers Homepage.

  5. David Jacho-Chavez & Arthur Lewbel & Oliver Linton, 2006. "Identification and Nonparametric Estimation of a Transformed Additively Separable Model," Boston College Working Papers in Economics 652, Boston College Department of Economics, revised 26 Nov 2008.

    Cited by:

    1. Joel L. Horowitz & Sokbae (Simon) Lee, 2015. "Nonparametric estimation and inference under shape restrictions," CeMMAP working papers CWP67/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Pierre-André Chiappori & Ivana Komunjer, 2008. "Correct Specification and Identification of Nonparametric Transformation Models," Working Papers 2009-003, Becker Friedman Institute for Research In Economics.
    3. Lewbel, Arthur & Lu, Xun & Su, Liangjun, 2015. "Specification testing for transformation models with an application to generalized accelerated failure-time models," Journal of Econometrics, Elsevier, vol. 184(1), pages 81-96.
    4. Van Keilegom, Ingrid & Vanhems, Anne, 2011. "Semiparametric transformation model with endogeneity: a control function approach," TSE Working Papers 11-243, Toulouse School of Economics (TSE).
    5. Krief, Jerome M., 2017. "Direct instrumental nonparametric estimation of inverse regression functions," Journal of Econometrics, Elsevier, vol. 201(1), pages 95-107.
    6. Pierre-Andre Chiappori & Ivana Komunjer & Dennis Kristensen, 2011. "Nonparametric Identification and Estimation of Transformation Models," CAM Working Papers 2011-01, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    7. Van Keilegom, Ingrid & Vanhems, Anne, 2016. "Estimation of a semiparametric transformation model in the presence of endogeneity," TSE Working Papers 16-654, Toulouse School of Economics (TSE).
    8. Colling, Benjamin & Van Keilegom, Ingrid, 2017. "Goodness-of-fit tests in semiparametric transformation models using the integrated regression function," Journal of Multivariate Analysis, Elsevier, vol. 160(C), pages 10-30.
    9. Benjamin Colling & Ingrid Keilegom, 2016. "Goodness-of-fit tests in semiparametric transformation models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(2), pages 291-308, June.

Articles

  1. Bravo, Francesco & Chu, Ba M. & Jacho-Chávez, David T., 2017. "Generalized empirical likelihood M testing for semiparametric models with time series data," Econometrics and Statistics, Elsevier, vol. 4(C), pages 18-30.

    Cited by:

    1. Bravo, Francesco & Chu, Ba & Jacho-Chavez, David, 2013. "Semiparametric estimation of moment condition models with weakly dependent data," MPRA Paper 79686, University Library of Munich, Germany, revised 2016.

  2. Chen, Xiaohong & Jacho-Chávez, David T. & Linton, Oliver, 2016. "Averaging Of An Increasing Number Of Moment Condition Estimators," Econometric Theory, Cambridge University Press, vol. 32(01), pages 30-70, February.

    Cited by:

    1. Lena Boneva (Körber) & Oliver Linton, 2017. "A discrete choice model for large heterogeneous panels with interactive fixed effects with an application to the determinants of corporate bond issuance," CeMMAP working papers CWP02/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Yoonseok Lee & Yu Zhou, 2015. "Averaged Instrumental Variables Estimators," Center for Policy Research Working Papers 180, Center for Policy Research, Maxwell School, Syracuse University.
    3. Čížek, Pavel & Lei, Jinghua, 2018. "Identification and estimation of nonseparable single-index models in panel data with correlated random effects," Journal of Econometrics, Elsevier, vol. 203(1), pages 113-128.

  3. Huynh, Kim P. & Jacho-Chávez, David T. & Kryvtsov, Oleksiy & Shepotylo, Oleksandr & Vakhitov, Volodymyr, 2016. "The evolution of firm-level distributions for Ukrainian manufacturing firms," Journal of Comparative Economics, Elsevier, vol. 44(1), pages 148-162.

    Cited by:

    1. Canavire Bacarreza, Gustavo J & Carvajal-Osorio, Luis C., 2018. "Two Stories of Wage Dynamics in Latin America: Different Policies, Different Outcomes," IZA Discussion Papers 11584, Institute for the Study of Labor (IZA).
    2. Ba M. Chu & Kim Huynh & David T. Jacho-Chávez & Oleksiy Kryvtsov, 2018. "On the Evolution of the United Kingdom Price Distributions," Staff Working Papers 18-25, Bank of Canada.

  4. Juan Carlos Escanciano & David Jacho‐Chávez & Arthur Lewbel, 2016. "Identification and estimation of semiparametric two‐step models," Quantitative Economics, Econometric Society, vol. 7(2), pages 561-589, July.

    Cited by:

    1. Arthur Lewbel, 2016. "Identification and Estimation Using Heteroscedasticity Without Instruments: The Binary Endogenous Regressor Case," Boston College Working Papers in Economics 927, Boston College Department of Economics.
    2. Enno Mammen & Christoph Rothe & Melanie Schienle, 2011. "Semiparametric Estimation with Generated Covariates," SFB 649 Discussion Papers SFB649DP2011-064, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    3. Bravo, Francesco & Chu, Ba & Jacho-Chavez, David, 2013. "Semiparametric estimation of moment condition models with weakly dependent data," MPRA Paper 79686, University Library of Munich, Germany, revised 2016.
    4. Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey & James M. Robins, 2016. "Locally Robust Semiparametric Estimation," Papers 1608.00033, arXiv.org, revised May 2018.
    5. Le-Yu Chen & Sokbae (Simon) Lee & Myung Jae Sung, 2013. "Maximum score estimation of preference parameters for a binary choice model under uncertainty," CeMMAP working papers CWP14/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Samuele Centorrino & Jean-Pierre Florens, 2014. "Nonparametric Instrumental Variable Estimation of Binary Response Models," Department of Economics Working Papers 14-07, Stony Brook University, Department of Economics.
    7. Bravo, Francesco & Chu, Ba M. & Jacho-Chávez, David T., 2017. "Generalized empirical likelihood M testing for semiparametric models with time series data," Econometrics and Statistics, Elsevier, vol. 4(C), pages 18-30.

  5. Anson T. Y. Ho & Kim P. Huynh & David T. Jacho‐Chávez, 2016. "Flexible Estimation of Copulas: An Application to the US Housing Crisis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(3), pages 603-610, April.

    Cited by:

    1. Yiguo Sun & Ximing Wu, 2018. "Leverage and Volatility Feedback Effects and Conditional Dependence Index: A Nonparametric Study," Journal of Risk and Financial Management, MDPI, Open Access Journal, vol. 11(2), pages 1-20, June.
    2. Kang, Sang Hoon & Uddin, Gazi Salah & Ahmed, Ali & Yoon, Seong-Min, 2018. "Multi-scale causality and extreme tail inter-dependence among housing prices," Economic Modelling, Elsevier, vol. 70(C), pages 301-309.

  6. Kim Huynh & David Jacho-Chávez & Robert Petrunia & Marcel Voia, 2015. "A nonparametric analysis of firm size, leverage and labour productivity distribution dynamics," Empirical Economics, Springer, vol. 48(1), pages 337-360, February.

    Cited by:

    1. Canavire Bacarreza, Gustavo J & Carvajal-Osorio, Luis C., 2018. "Two Stories of Wage Dynamics in Latin America: Different Policies, Different Outcomes," IZA Discussion Papers 11584, Institute for the Study of Labor (IZA).
    2. Huynh, Kim P. & Jacho-Chávez, David T. & Kryvtsov, Oleksiy & Shepotylo, Oleksandr & Vakhitov, Volodymyr, 2016. "The evolution of firm-level distributions for Ukrainian manufacturing firms," Journal of Comparative Economics, Elsevier, vol. 44(1), pages 148-162.

  7. Escanciano, Juan Carlos & Jacho-Chávez, David T. & Lewbel, Arthur, 2014. "Uniform convergence of weighted sums of non and semiparametric residuals for estimation and testing," Journal of Econometrics, Elsevier, vol. 178(P3), pages 426-443.
    See citations under working paper version above.
  8. Escanciano, Juan Carlos & Jacho-Chávez, David T., 2012. "n-uniformly consistent density estimation in nonparametric regression models," Journal of Econometrics, Elsevier, vol. 167(2), pages 305-316.

    Cited by:

    1. Delgado, Miguel A. & Escanciano, Juan Carlos, 2012. "Distribution-free tests of stochastic monotonicity," Journal of Econometrics, Elsevier, vol. 170(1), pages 68-75.
    2. Shang, Han Lin, 2013. "Bayesian bandwidth estimation for a nonparametric functional regression model with unknown error density," Computational Statistics & Data Analysis, Elsevier, vol. 67(C), pages 185-198.
    3. Zapata, Samuel D. & Carpio, Carlos E., 2014. "Distribution-free Methods for Estimation of Willingness to Pay Models Using Discrete Response Valuation Data," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170453, Agricultural and Applied Economics Association.
    4. Matias D. Cattaneo & Michael Jansson & Whitney K. Newey, 2015. "Alternative Asymptotics and the Partially Linear Model with Many Regressors," Papers 1505.08120, arXiv.org.
    5. Xibin Zhang & Maxwell L. King & Han Lin Shang, 2016. "Bayesian Bandwidth Selection for a Nonparametric Regression Model with Mixed Types of Regressors," Econometrics, MDPI, Open Access Journal, vol. 4(2), pages 1-27, April.
    6. Shang, Han Lin, 2016. "A Bayesian approach for determining the optimal semi-metric and bandwidth in scalar-on-function quantile regression with unknown error density and dependent functional data," Journal of Multivariate Analysis, Elsevier, vol. 146(C), pages 95-104.
    7. Li, Shuo & Tu, Yundong, 2016. "n-consistent density estimation in semiparametric regression models," Computational Statistics & Data Analysis, Elsevier, vol. 104(C), pages 91-109.

  9. Chu, Ba & Jacho-Chávez, David T., 2012. "k-NEAREST NEIGHBOR ESTIMATION OF INVERSE-DENSITY-WEIGHTED EXPECTATIONS WITH DEPENDENT DATA," Econometric Theory, Cambridge University Press, vol. 28(04), pages 769-803, August.

    Cited by:

    1. Bravo, Francesco & Chu, Ba & Jacho-Chavez, David, 2013. "Semiparametric estimation of moment condition models with weakly dependent data," MPRA Paper 79686, University Library of Munich, Germany, revised 2016.
    2. Chen, Heng, 2014. "Sheep in Wolf’s clothing: Using the least squares criterion for quantile estimation," Economics Letters, Elsevier, vol. 125(3), pages 426-431.
    3. Arthur Lewbel, 2012. "An Overview of the Special Regressor Method," Boston College Working Papers in Economics 810, Boston College Department of Economics.
    4. Li, Hongjun & Li, Qi & Liu, Ruixuan, 2016. "Consistent model specification tests based on k-nearest-neighbor estimation method," Journal of Econometrics, Elsevier, vol. 194(1), pages 187-202.

  10. Francesco Bravo & David Jacho-Chavez, 2011. "Empirical Likelihood for Efficient Semiparametric Average Treatment Effects," Econometric Reviews, Taylor & Francis Journals, vol. 30(1), pages 1-24.

    Cited by:

    1. Francesco Bravo, 2013. "Partially linear varying coefficient models with missing at random responses," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 65(4), pages 721-762, August.

  11. Anson T. Y. Ho & Kim P. Huynh & David T. Jacho‐Chávez, 2011. "npRmpi: A package for parallel distributed kernel estimation in R," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(2), pages 344-349, March.

    Cited by:

    1. Michael S. Delgado & Christopher F. Parmeter, 2013. "Embarrassingly Easy Embarrassingly Parallel Processing in R: Implementation and Reproducibility," Working Papers 2013-06, University of Miami, Department of Economics.

  12. Huynh, Kim P. & Jacho-Chávez, David T. & Petrunia, Robert J. & Voia, Marcel, 2011. "Functional Principal Component Analysis of Density Families With Categorical and Continuous Data on Canadian Entrant Manufacturing Firms," Journal of the American Statistical Association, American Statistical Association, vol. 106(495), pages 858-878.

    Cited by:

    1. Kim Huynh & David Jacho-Chávez & Robert Petrunia & Marcel Voia, 2015. "A nonparametric analysis of firm size, leverage and labour productivity distribution dynamics," Empirical Economics, Springer, vol. 48(1), pages 337-360, February.
    2. Canavire Bacarreza, Gustavo J & Carvajal-Osorio, Luis C., 2018. "Two Stories of Wage Dynamics in Latin America: Different Policies, Different Outcomes," IZA Discussion Papers 11584, Institute for the Study of Labor (IZA).
    3. Ba M. Chu & Kim Huynh & David T. Jacho-Chávez & Oleksiy Kryvtsov, 2018. "On the Evolution of the United Kingdom Price Distributions," Staff Working Papers 18-25, Bank of Canada.
    4. Huynh, Kim P. & Jacho-Chávez, David T. & Kryvtsov, Oleksiy & Shepotylo, Oleksandr & Vakhitov, Volodymyr, 2016. "The evolution of firm-level distributions for Ukrainian manufacturing firms," Journal of Comparative Economics, Elsevier, vol. 44(1), pages 148-162.
    5. Huynh, Kim P. & Petrunia, Robert J. & Voia, Marcel, 2012. "Duration of new firms: The role of startup financial conditions, industry and aggregate factors," Structural Change and Economic Dynamics, Elsevier, vol. 23(4), pages 354-362.
    6. Choi, Chi-Young & O'Sullivan, Róisín, 2013. "Heterogeneous response of disaggregate inflation to monetary policy regime change: The role of price stickiness," Journal of Economic Dynamics and Control, Elsevier, vol. 37(9), pages 1814-1832.

  13. Jacho-Chávez, David Tomás, 2010. "Optimal Bandwidth Choice For Estimation Of Inverse Conditional–Density–Weighted Expectations," Econometric Theory, Cambridge University Press, vol. 26(01), pages 94-118, February.

    Cited by:

    1. David Jacho-Chávez, 2008. "k nearest-neighbor estimation of inverse density weighted expectations," Economics Bulletin, AccessEcon, vol. 3(48), pages 1-6.
    2. Marine Carrasco & Rachidi Kotchoni, 2013. "Efficient estimation using the Characteristic Function," CIRANO Working Papers 2013s-22, CIRANO.

  14. Escanciano, Juan Carlos & Jacho-Chávez, David T., 2010. "Approximating the critical values of Cramér-von Mises tests in general parametric conditional specifications," Computational Statistics & Data Analysis, Elsevier, vol. 54(3), pages 625-636, March.

    Cited by:

    1. Jiménez-Gamero, M.D. & Alba-Fernández, M.V. & Jodrá, P. & Barranco-Chamorro, I., 2015. "An approximation to the null distribution of a class of Cramér–von Mises statistics," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 118(C), pages 258-272.
    2. Vortelinos, Dimitrios I., 2014. "Non-parametric analysis of equity arbitrage," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 199-216.
    3. Chu, Ba & Jacho-Chávez, David T., 2012. "k-NEAREST NEIGHBOR ESTIMATION OF INVERSE-DENSITY-WEIGHTED EXPECTATIONS WITH DEPENDENT DATA," Econometric Theory, Cambridge University Press, vol. 28(04), pages 769-803, August.
    4. Liangjun Su & Stefan Hoderlein & Halbert White, 2013. "Testing Monotonicity in Unobservables with Panel Data," Boston College Working Papers in Economics 892, Boston College Department of Economics, revised 01 Feb 2016.
    5. Du, Zaichao, 2014. "Testing for serial independence of panel errors," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 248-261.

  15. Kim P. Huynh & David T. Jacho‐Chávez, 2010. "Firm size distributions through the lens of functional principal components analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(7), pages 1211-1214, November/.

    Cited by:

    1. Kim Huynh & David Jacho-Chávez & Robert Petrunia & Marcel Voia, 2015. "A nonparametric analysis of firm size, leverage and labour productivity distribution dynamics," Empirical Economics, Springer, vol. 48(1), pages 337-360, February.
    2. Pedro Gil & Fernanda Figueiredo, 2013. "Firm size distribution under horizontal and vertical innovation," Journal of Evolutionary Economics, Springer, vol. 23(1), pages 129-161, January.
    3. Canavire Bacarreza, Gustavo J & Carvajal-Osorio, Luis C., 2018. "Two Stories of Wage Dynamics in Latin America: Different Policies, Different Outcomes," IZA Discussion Papers 11584, Institute for the Study of Labor (IZA).
    4. Huynh, Kim P. & Jacho-Chávez, David T. & Kryvtsov, Oleksiy & Shepotylo, Oleksandr & Vakhitov, Volodymyr, 2016. "The evolution of firm-level distributions for Ukrainian manufacturing firms," Journal of Comparative Economics, Elsevier, vol. 44(1), pages 148-162.
    5. Pedro Mazeda Gil & Fernanda Figueiredo, 2011. "Firm Size Distribution under Horizontal and Vertical Innovation," DEGIT Conference Papers c016_065, DEGIT, Dynamics, Economic Growth, and International Trade.

  16. Oliver Linton & David Jacho-Chávez, 2010. "On internally corrected and symmetrized kernel estimators for nonparametric regression," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 19(1), pages 166-186, May.

    Cited by:

    1. Qian, Junhui & Wang, Le, 2012. "Estimating semiparametric panel data models by marginal integration," Journal of Econometrics, Elsevier, vol. 167(2), pages 483-493.
    2. Shen, Jia & Xie, Yuan, 2013. "Strong consistency of the internal estimator of nonparametric regression with dependent data," Statistics & Probability Letters, Elsevier, vol. 83(8), pages 1915-1925.

  17. Jacho-Chávez, David & Lewbel, Arthur & Linton, Oliver, 2010. "Identification and nonparametric estimation of a transformed additively separable model," Journal of Econometrics, Elsevier, vol. 156(2), pages 392-407, June.
    See citations under working paper version above.
  18. Kim P. Huynh & David T. Jacho-Chávez & James K. Self, 2010. "The Efficacy of Collaborative Learning Recitation Sessions on Student Outcomes," American Economic Review, American Economic Association, vol. 100(2), pages 287-291, May.

    Cited by:

    1. Wayne A Grove x & Stephen Wu, 2011. "Factors Influencing Student Performance in Economics: Class and Instructor Characteristics," Chapters,in: International Handbook on Teaching and Learning Economics, chapter 33 Edward Elgar Publishing.

  19. Jacho-Chávez, David T., 2009. "Efficiency Bounds For Semiparametric Estimation Of Inverse Conditional-Density-Weighted Functions," Econometric Theory, Cambridge University Press, vol. 25(03), pages 847-855, June.

    Cited by:

    1. Yingying Dong & Arthur Lewbel & Thomas Tao Yang, 2012. "Comparing Features of Convenient Estimators for Binary Choice Models With Endogenous Regressors," Boston College Working Papers in Economics 789, Boston College Department of Economics, revised 15 May 2012.
    2. Yingying Dong & Arthur Lewbel, 2012. "A Simple Estimator for Binary Choice Models With Endogenous Regressors," Boston College Working Papers in Economics 807, Boston College Department of Economics.
    3. Arthur Lewbel, 2012. "An Overview of the Special Regressor Method," Boston College Working Papers in Economics 810, Boston College Department of Economics.
    4. Ying-Ying Lee, 2015. "Interpretation and Semiparametric Efficiency in Quantile Regression under Misspecification," Econometrics, MDPI, Open Access Journal, vol. 4(1), pages 1-14, December.
    5. Yingying Dong & Arthur Lewbel, 2012. "Simple Estimators for Binary Choice Models with Endogenous Regressors," Working Papers 111204, University of California-Irvine, Department of Economics.
    6. Arthur Lewbel & Yingying Dong & Thomas Tao Yang, 2012. "Viewpoint: Comparing features of convenient estimators for binary choice models with endogenous regressors," Canadian Journal of Economics, Canadian Economics Association, vol. 45(3), pages 809-829, August.

  20. Huynh, Kim P. & Jacho-Chávez, David T., 2009. "Growth and governance: A nonparametric analysis," Journal of Comparative Economics, Elsevier, vol. 37(1), pages 121-143, March.

    Cited by:

    1. Maria Baquero Forero & Takanori Ida & Toshifumi Kuroda, 2015. "Institutions and Cultural Heterogeneity as Determinants of National Income: A Random-coefficients Stochastic Frontier Model," Review of Development Economics, Wiley Blackwell, vol. 19(3), pages 710-724, August.
    2. Maria del Pilar Baquero Forero & Toshifumi Kuroda & Takanori Ida, 2010. "Cultural determinants of countries management efficiency:A random coefficients stochastic frontier approach," Discussion papers e-10-012, Graduate School of Economics Project Center, Kyoto University.
    3. Effiong, Ekpeno L. & Asuquo, Emmanuel E., 2016. "Migrants' Remittances, Governance and Heterogeneity," MPRA Paper 74753, University Library of Munich, Germany.
    4. Emmanuel Flachaire & Cecilia García-Peòalosa & Maty Konte, 2011. "Political versus Economic Institutions in the Growth Process," CESifo Working Paper Series 3432, CESifo Group Munich.
    5. Chuku, Chuku & Onye, Kenneth & Ajah, Hycent, 2015. "Structural and institutional determinants of investment activity in Africa," MPRA Paper 68163, University Library of Munich, Germany.
    6. Yulia Kotlyarova & Marcia M Schafgans & Victoria Zinde-Walsh, 2011. "Adapting Kernel Estimation to Uncertain Smoothness," STICERD - Econometrics Paper Series 557, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    7. Mohammad Reza Farzanegan & Stefan Witthuhn, 2014. "Demographic transition and political stability: Does corruption matter?," MAGKS Papers on Economics 201459, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    8. Halkos, George & Tzeremes, Nickolaos, 2012. "Carbon dioxide emissions and governance: A nonparametric analysis for the G-20," MPRA Paper 40387, University Library of Munich, Germany.
    9. Evrensel, Ayse Y., 2010. "Corruption, growth, and growth volatility," International Review of Economics & Finance, Elsevier, vol. 19(3), pages 501-514, June.
    10. Man, Georg, 2014. "Political competition and economic growth: A nonlinear relationship?," European Journal of Political Economy, Elsevier, vol. 36(C), pages 287-302.
    11. Crombrugghe, Denis de & Farla, Kristine, 2012. "Preliminary conclusions on institutions and economic performance," MERIT Working Papers 035, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    12. Kostas Rontos & Maria-Eleni Syrmali & Ioannis Vavouras, 2015. "Economic, political and social determinants of governance worldwide," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 17(2), pages 105-119, October.
    13. Mika Kortelainen & Simo Leppänen, 2013. "Public and private capital productivity in Russia: a non-parametric investigation," Empirical Economics, Springer, vol. 45(1), pages 193-216, August.
    14. McCloud Nadine & Delgado Michael S. & Kumbhakar Subal C., 2018. "Foreign Direct Investment and Growth Symbiosis: A Semiparametric System of Simultaneous Equations Analysis," Journal of Econometric Methods, De Gruyter, vol. 7(1), pages 1-31, January.
    15. Law, Siong Hook & Lim, Thong Cheen & Ismail, Normaz Wana, 2013. "Institutions and economic development: A Granger causality analysis of panel data evidence," Economic Systems, Elsevier, vol. 37(4), pages 610-624.
    16. Libman, Alexander, 2008. "Democracy and growth: is the effect non-linear?," MPRA Paper 17795, University Library of Munich, Germany.
    17. Helmi Hamdi, Abdelaziz Hakimi, and Rashid Sbia, 2017. "Finance and Growth Nexus: What Role for Institutions in Developed and Developing Countries?," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 42(4), pages 1-22, December.

  21. Kim Huynh & David Jacho-Chavez, 2007. "Conditional density estimation: an application to the Ecuadorian manufacturing sector," Economics Bulletin, AccessEcon, vol. 3(62), pages 1-6.

    Cited by:

    1. Effiong, Ekpeno L. & Asuquo, Emmanuel E., 2016. "Migrants' Remittances, Governance and Heterogeneity," MPRA Paper 74753, University Library of Munich, Germany.
    2. David Jacho-Chavez & Arthur Lewbel & Oliver Linton, 2006. "Identification and Nonparametric Estimation of a Transformed Additively Separable Model," Boston College Working Papers in Economics 652, Boston College Department of Economics, revised 26 Nov 2008.
    3. Halkos, George & Tzeremes, Nickolaos, 2012. "Carbon dioxide emissions and governance: A nonparametric analysis for the G-20," MPRA Paper 40387, University Library of Munich, Germany.
    4. João Amador & Sónia Cabral & José Maria, 2011. "A Simple Cross-Country Index of Trade Specialization," Open Economies Review, Springer, vol. 22(3), pages 447-461, July.
    5. João Amador & Sónia Cabral & José Maria, 2010. "What can we learn from the distribution of trade patterns?," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 9(2), pages 77-95, August.
    6. Huynh, Kim P. & Jacho-Chávez, David T., 2009. "Growth and governance: A nonparametric analysis," Journal of Comparative Economics, Elsevier, vol. 37(1), pages 121-143, March.

More information

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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 4 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) 2006-09-11 2010-09-25 2012-10-06
  2. NEP-EFF: Efficiency & Productivity (1) 2006-09-11
  3. NEP-EUR: Microeconomic European Issues (1) 2018-07-16
  4. NEP-FOR: Forecasting (1) 2018-07-16
  5. NEP-MAC: Macroeconomics (1) 2018-07-16

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