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David Tomás Jacho-Chávez
(David Tomas Jacho-Chavez)

Personal Details

First Name:David
Middle Name:Tomás
Last Name:Jacho-Chávez
Suffix:
RePEc Short-ID:pja134
https://www.davidjachochavez.org
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 Books

Working papers

  1. Diego Rojas & Juan Estrada & Kim Huynh & David T. Jacho-Chávez, 2020. "Survival Analysis of Banknote Circulation: Fitness, Network Structure and Machine Learning," Staff Working Papers 20-33, Bank of Canada.
  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.
  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. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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. Ba M. Chu & David T. Jacho-Chávez & Oliver B. Linton, 2020. "Standard Errors for Nonparametric Regression," Econometric Reviews, Taylor & Francis Journals, vol. 39(7), pages 674-690, August.
  2. Montoya-Blandón, Santiago & Jacho-Chávez, David T., 2020. "Semiparametric quasi maximum likelihood estimation of the fractional response model," Economics Letters, Elsevier, vol. 186(C).
  3. Ho, Anson T.Y. & Huynh, Kim P. & Jacho-Chávez, David T., 2019. "Using nonparametric copulas to measure crude oil price co-movements," Energy Economics, Elsevier, vol. 82(C), pages 211-223.
  4. David T. Jacho-Chávez & Anson T. Y. Ho & Kim P. Huynh, 2019. "Productivity and Reallocation: Evidence from Ecuadorian Firm-Level Data," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Fall 2019), pages 83-110, October.
  5. 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.
  6. Mateo Velásquez‐Giraldo & Gustavo Canavire‐Bacarreza & Kim P. Huynh & David T. Jacho‐Chavez, 2018. "Flexible Estimation of Demand Systems: A Copula Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(7), pages 1109-1116, November.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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(1), pages 30-70, February.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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(4), pages 769-803, August.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. Jacho-Chávez, David Tomás, 2010. "Optimal Bandwidth Choice For Estimation Of Inverse Conditional–Density–Weighted Expectations," Econometric Theory, Cambridge University Press, vol. 26(1), pages 94-118, February.
  24. 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/.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. David Jacho-Chávez, 2008. "k nearest-neighbor estimation of inverse density weighted expectations," Economics Bulletin, AccessEcon, vol. 3(48), pages 1-6.
  32. 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.

Books

  1. Kim P. Huynh & David T. Jacho-chávez & Gautam Tripathi (ed.), 2019. "The Econometrics of Complex Survey Data," Advances in Econometrics, Emerald Publishing Ltd, volume 39, number aeco.2019.39, November.

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 or ReplicationWiki 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 (Journal of Applied Econometrics 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 (Journal of Applied Econometrics 2010) in ReplicationWiki ()
  3. Mateo Velásquez‐Giraldo & Gustavo Canavire‐Bacarreza & Kim P. Huynh & David T. Jacho‐Chavez, 2018. "Flexible Estimation of Demand Systems: A Copula Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(7), pages 1109-1116, November.

    Mentioned in:

    1. Flexible Estimation of Demand Systems: A Copula Approach (Journal of Applied Econometrics 2018) in ReplicationWiki ()
  4. 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 (Journal of Applied Econometrics 2016) in ReplicationWiki ()

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.

    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 of Labor Economics (IZA).
    2. Petrella, Ivan & Santoro, Emiliano & Simonsen, Lasse P., 2019. "Time-varying Price Flexibility and Inflation Dynamics," EMF Research Papers 28, Economic Modelling and Forecasting Group.
    3. Carlos Carvalho & Oleksiy Kryvtsov, 2018. "Price Selection," Staff Working Papers 18-44, 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.

    Cited by:

    1. Matsushita, Yukitoshi & Otsu, Taisuke, 2020. "Likelihood inference on semiparametric models with generated regressors," LSE Research Online Documents on Economics 102696, London School of Economics and Political Science, LSE Library.
    2. 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.

  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.

    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. Nengxiang Ling & Germán Aneiros & Philippe Vieu, 2020. "kNN estimation in functional partial linear modeling," Statistical Papers, Springer, vol. 61(1), pages 423-444, February.

  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.

    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.

  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.

    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. Huang, Liquan & Khalil, Umair & Yıldız, Neşe, 2019. "Identification and estimation of a triangular model with multiple endogenous variables and insufficiently many instrumental variables," Journal of Econometrics, Elsevier, vol. 208(2), pages 346-366.
    8. Gutknecht, Daniel, 2016. "Testing for monotonicity under endogeneity," Journal of Econometrics, Elsevier, vol. 190(1), pages 100-114.
    9. Escanciano, Juan Carlos & Pardo-Fernandez, Juan Carlos & Van Keilegom, Ingrid, 2015. "Asymptotic distribution-free tests for semiparametric regressions," LIDAM Discussion Papers ISBA 2015001, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    10. Valentina Corradi & Daniel Gutknecht, 2019. "Testing for Quantile Sample Selection," Papers 1907.07412, arXiv.org, revised Jan 2021.
    11. 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.
    12. Sungwon Lee, 2020. "Nonparametric Tests for Conditional Quantile Independence with Duration Outcomes," Working Papers 2013, Research Institute for Market Economy, Sogang University.
    13. Montoya-Blandón, Santiago & Jacho-Chávez, David T., 2020. "Semiparametric quasi maximum likelihood estimation of the fractional response model," Economics Letters, Elsevier, vol. 186(C).
    14. Sadikoglu, Serhan, 2019. "Essays in econometric theory," Other publications TiSEM 99d83644-f9dc-49e3-a4e1-5, Tilburg University, School of Economics and Management.
    15. 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.
    16. Ying-Ying Lee, 2018. "Partial Mean Processes with Generated Regressors: Continuous Treatment Effects and Nonseparable Models," Papers 1811.00157, arXiv.org.
    17. 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.
    18. Escanciano, J C. & Hoderlein, S. & Lewbel, A. & Linton, O. & Srisuma, S., 2020. "Nonparametric Euler Equation Identi?cation and Estimation," Cambridge Working Papers in Economics 2064, Faculty of Economics, University of Cambridge.
    19. 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.
    20. 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.
    21. Bravo, Francesco & Escanciano, Juan Carlos & Van Keilegom, Ingrid, 2015. "Wilks' Phenomenon in Two-Step Semiparametric Empirical Likelihood Inference," LIDAM Discussion Papers ISBA 2015016, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    22. Cerulli, Giovanni, 2020. "A Super-Learning Machine for Predicting Economic Outcomes," MPRA Paper 99111, University Library of Munich, Germany.
    23. Juan Carlos 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, December.
    24. Roger Klein & Chan Shen & Francis Vella, 2014. "Semiiparametric Selection Models with Binary Outcomes," Departmental Working Papers 201403, Rutgers University, Department of Economics.
    25. 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.
    26. 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.
    27. Laurent Delsol & Ingrid Van Keilegom, 2020. "Semiparametric M-estimation with non-smooth criterion functions," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 72(2), pages 577-605, April.
    28. 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.
    29. 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.

  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.

    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, 2012. "TailCoR," Working Papers 1227, Banco de España;Working Papers Homepage.

  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.

    Cited by:

    1. Colling, Benjamin & Van Keilegom, Ingrid, 2016. "Goodness-of-fit tests in semiparametric transformation models using the integrated regression function," LIDAM Discussion Papers ISBA 2016031, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    2. 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.
    3. Vanhems, Anne & Van Keilegom, Ingrid, 2013. "Semiparametric transformation model with endogeneity: a control function approach," LIDAM Discussion Papers ISBA 2013018, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    4. Ruixuan Liu, 2020. "A competing risks model with time‐varying heterogeneity and simultaneous failure," Quantitative Economics, Econometric Society, vol. 11(2), pages 535-577, May.
    5. 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.
    6. 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).
    7. Krief, Jerome M., 2017. "Direct instrumental nonparametric estimation of inverse regression functions," Journal of Econometrics, Elsevier, vol. 201(1), pages 95-107.
    8. Christoph Breunig & Stephan Martin, 2020. "Nonclassical Measurement Error in the Outcome Variable," Papers 2009.12665, arXiv.org.
    9. Vanhems, Anne & Van Keilegom, Ingrid, 2011. "Semiparametric transformation model with endogeneity: a control function approach," LIDAM Discussion Papers ISBA 2011011, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    10. 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.
    11. Vanhems, Anne & Van Keilegom, Ingrid, 2019. "Estimation Of A Semiparametric Transformation Model In The Presence Of Endogeneity," Econometric Theory, Cambridge University Press, vol. 35(1), pages 73-110, February.
    12. 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.

Articles

  1. Ho, Anson T.Y. & Huynh, Kim P. & Jacho-Chávez, David T., 2019. "Using nonparametric copulas to measure crude oil price co-movements," Energy Economics, Elsevier, vol. 82(C), pages 211-223.

    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. Virbickaitė, Audronė & Ausín, M. Concepción & Galeano, Pedro, 2020. "Copula stochastic volatility in oil returns: Approximate Bayesian computation with volatility prediction," Energy Economics, Elsevier, vol. 92(C).

  2. Mateo Velásquez‐Giraldo & Gustavo Canavire‐Bacarreza & Kim P. Huynh & David T. Jacho‐Chavez, 2018. "Flexible Estimation of Demand Systems: A Copula Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(7), pages 1109-1116, November.

    Cited by:

    1. Montoya-Blandón, Santiago & Jacho-Chávez, David T., 2020. "Semiparametric quasi maximum likelihood estimation of the fractional response model," Economics Letters, Elsevier, vol. 186(C).

  3. 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.
    See citations under working paper version above.
  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.

    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. Zaichao Du & Juan Carlos Escanciano, 2015. "A Nonparametric Distribution-Free Test for Serial Independence of Errors," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 1011-1034, December.

  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. Uddin, Gazi Salah & Hernandez, Jose Arreola & Shahzad, Syed Jawad Hussain & Kang, Sang Hoon, 2020. "Characteristics of spillovers between the US stock market and precious metals and oil," Resources Policy, Elsevier, vol. 66(C).
    3. Stelios Bekiros & Amanda Dahlström & Gazi Salah Uddin & Oskar Ege & Ranadeva Jayasekera, 2020. "A tale of two shocks: The dynamics of international real estate markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(1), pages 3-27, January.
    4. 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.
    5. Roman Matkovskyy, 2019. "Extremal Economic (Inter)Dependence Studies: A Case of the Eastern European Countries," Post-Print hal-02332090, HAL.
    6. Ho, Anson T.Y. & Huynh, Kim P. & Jacho-Chávez, David T., 2019. "Using nonparametric copulas to measure crude oil price co-movements," Energy Economics, Elsevier, vol. 82(C), pages 211-223.
    7. Chang, Kuang-Liang, 2020. "An investigation on mixed housing-cycle structures and asymmetric tail dependences," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).

  6. 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(1), 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. Frank Windmeijer, 2017. "Two-Stage Least Squares as Minimum Distance," Bristol Economics Discussion Papers 17/683, School of Economics, University of Bristol, UK, revised 13 Jun 2018.
    3. Linton, O. & Xiao, Z., 2019. "Efficient Estimation of Nonparametric Regression in The Presence of Dynamic Heteroskedasticity," Cambridge Working Papers in Economics 1907, Faculty of Economics, University of Cambridge.
    4. Yoonseok Lee & Yu Zhou, 2015. "Averaged Instrumental Variables Estimators," Center for Policy Research Working Papers 180, Center for Policy Research, Maxwell School, Syracuse University.
    5. 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.
    6. Zhu, Qianqian & Zheng, Yao & Li, Guodong, 2018. "Linear double autoregression," Journal of Econometrics, Elsevier, vol. 207(1), pages 162-174.

  7. 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 of Labor Economics (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.
    3. Eleonora Fichera & Yevgeniya Shevtsova, 2020. "Sunk exporting costs and export market coverage," Manchester School, University of Manchester, vol. 88(4), pages 599-616, July.
    4. Serhan Cevik, 2019. "You Are Suffocating Me! Firm-Level Evidence on Crowding Out," IMF Working Papers 2019/080, International Monetary Fund.
    5. Carlo Reggiani & Yevgeniya Shevtsova, 2018. "Trade and Productivity in a Transition Economy: the Role of Industry and Export Destination," Journal of Industry, Competition and Trade, Springer, vol. 18(3), pages 395-428, September.
    6. Ali, Abdilahi & Ali, Syed Imran, 2020. "Antecedents of the propensity to learn management practices and their impacts on firm outcomes in emerging markets: A Bayesian Model Averaging approach," International Business Review, Elsevier, vol. 29(4).

  8. 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 Aug 2020.
    5. 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.
    6. Sadikoglu, Serhan, 2019. "Essays in econometric theory," Other publications TiSEM 99d83644-f9dc-49e3-a4e1-5, Tilburg University, School of Economics and Management.
    7. 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.
    8. Bo E. Honoré & Luojia Hu, 2020. "Selection Without Exclusion," Econometrica, Econometric Society, vol. 88(3), pages 1007-1029, May.
    9. 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.
    10. Songnian Chen & Shakeeb Khan & Xun Tang, 2020. "Dummy Endogenous Variables in Weakly Separable Multiple Index Models without Monotonicity," Boston College Working Papers in Economics 996, Boston College Department of Economics.
    11. Songnian Chen & Shakeeb Khan & Xun Tang, 2020. "Identification and Estimation of Weakly Separable Models Without Monotonicity," Papers 2003.04337, arXiv.org, revised Apr 2020.
    12. Arthur Lewbel, 2018. "The Identification Zoo - Meanings of Identification in Econometrics," Boston College Working Papers in Economics 957, Boston College Department of Economics, revised 14 Dec 2019.
    13. 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.
    14. Geneviève Vallée, 2018. "How Long Does It Take You to Pay? A Duration Study of Canadian Retail Transaction Payment Times," Staff Working Papers 18-46, Bank of Canada.
    15. Juan Carlos Escanciano & Lin Zhu, 2013. "Set inferences and sensitivity analysis in semiparametric conditionally identified models," CeMMAP working papers CWP55/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    16. Laurent Delsol & Ingrid Van Keilegom, 2020. "Semiparametric M-estimation with non-smooth criterion functions," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 72(2), pages 577-605, April.

  9. 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 of Labor Economics (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.

  10. 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.
  11. 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.

    Cited by:

    1. Florios, Kostas, 2018. "A hyperplanes intersection simulated annealing algorithm for maximum score estimation," Econometrics and Statistics, Elsevier, vol. 8(C), pages 37-55.
    2. Ho, Anson T.Y. & Huynh, Kim P. & Jacho-Chávez, David T., 2019. "Using nonparametric copulas to measure crude oil price co-movements," Energy Economics, Elsevier, vol. 82(C), pages 211-223.

  12. 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(4), 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.

  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.

    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. Han Lin Shang, 2014. "Bayesian bandwidth estimation for a functional nonparametric regression model with mixed types of regressors and unknown error density," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 26(3), pages 599-615, September.
    7. 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.
    8. Li, Shuo & Tu, Yundong, 2016. "n-consistent density estimation in semiparametric regression models," Computational Statistics & Data Analysis, Elsevier, vol. 104(C), pages 91-109.

  14. 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.
    2. Biao Zhang, 2016. "Empirical Likelihood in Causal Inference," Econometric Reviews, Taylor & Francis Journals, vol. 35(2), pages 201-231, February.
    3. 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.

  15. 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.
    2. Ho, Anson T.Y. & Huynh, Kim P. & Jacho-Chávez, David T., 2019. "Using nonparametric copulas to measure crude oil price co-movements," Energy Economics, Elsevier, vol. 82(C), pages 211-223.

  16. 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 of Labor Economics (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.

  17. Jacho-Chávez, David Tomás, 2010. "Optimal Bandwidth Choice For Estimation Of Inverse Conditional–Density–Weighted Expectations," Econometric Theory, Cambridge University Press, vol. 26(1), 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.

  18. 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 of Labor Economics (IZA).
    4. Erik Stam, 2010. "Growth beyond Gibrat: firm growth processes and strategies," Small Business Economics, Springer, vol. 35(2), pages 129-135, September.
    5. 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.
    6. Murmann Johann Peter & Korn Jenny & Worch Hagen, 2014. "How Fast Can Firms Grow?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 234(2-3), pages 210-233, April.
    7. 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.

  19. 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.

  20. 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.
  21. 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(4), 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.

  22. 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. James K. Self & William E. Becker, 2016. "Teaching and Learning Alternatives to a Comparative Advantage Motivation for Trade," The American Economist, Sage Publications, vol. 61(2), pages 178-190, October.
    2. Wayne A Grove x & Stephen Wu, 2011. "Factors Influencing Student Performance in Economics: Class and Instructor Characteristics," Chapters, in: Gail M. Hoyt & KimMarie McGoldrick (ed.), International Handbook on Teaching and Learning Economics, chapter 33, Edward Elgar Publishing.

  23. 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.
    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. Marion Payen & Patrick Rondé, 2020. "Culture, Institutions and Economic Growth," Working Papers of BETA 2020-18, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    7. 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.
    8. 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).
    9. Helmi Hamdi, 2017. "Finance and Growth Nexus: What Role for Institutions in Developed and Developing Countries?," Post-Print hal-01794445, HAL.
    10. 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.
    11. Jiandang Liu & Jie Tang & Bo Zhou & Zhijun Liang, 2018. "The Effect of Governance Quality on Economic Growth: Based on China’s Provincial Panel Data," Economies, MDPI, Open Access Journal, vol. 6(4), pages 1-23, October.
    12. Evrensel, Ayse Y., 2010. "Corruption, growth, and growth volatility," International Review of Economics & Finance, Elsevier, vol. 19(3), pages 501-514, June.
    13. Man, Georg, 2014. "Political competition and economic growth: A nonlinear relationship?," European Journal of Political Economy, Elsevier, vol. 36(C), pages 287-302.
    14. Karbhari, Yusuf & Muye, Ibrahim & Hassan, Ahmad Fahmi S. & Elnahass, Marwa, 2018. "Governance mechanisms and efficiency: Evidence from an alternative insurance (Takaful) market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 56(C), pages 71-92.
    15. Crombrugghe, Denis de & Farla, Kristine, 2012. "Preliminary conclusions on institutions and economic performance," MERIT Working Papers 2012-035, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    16. 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.
    17. Petar Stankov, 2017. "Economic Freedom and Welfare Before and After the Crisis," Springer Books, Springer, number 978-3-319-62497-6, January.
    18. 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.
    19. 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.
    20. 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.
    21. Libman, Alexander, 2008. "Democracy and growth: is the effect non-linear?," MPRA Paper 17795, University Library of Munich, Germany.

  24. 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.

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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) 2006-09-11 2010-09-25 2012-10-06
  2. NEP-MAC: Macroeconomics (2) 2018-07-16 2020-09-21
  3. NEP-EFF: Efficiency & Productivity (1) 2006-09-11
  4. NEP-EUR: Microeconomic European Issues (1) 2018-07-16
  5. NEP-FOR: Forecasting (1) 2018-07-16
  6. NEP-PAY: Payment Systems & Financial Technology (1) 2020-09-21

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