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Daniel J. Henderson

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Ozkan Eren & Daniel J. Henderson, 2009. "Are We Wasting Our Children’s Time by Giving them More Homework?," Working Papers 0907, University of Nevada, Las Vegas , Department of Economics.

    Mentioned in:

    1. Är det bra med läxor?
      by Eva Mörk in Ekonomistas on 2009-04-03 12:59:00
    2. Is homework worth the time?
      by Economic Logician in Economic Logic on 2011-04-15 19:24:00
  2. Michael S. Delgado & Daniel J. Henderson & Christopher F. Parmeter, 2011. "Does Education Matter for Economic Growth?," Working Papers 2011-13, University of Miami, Department of Economics.

    Mentioned in:

    1. Quelle "proxy" pour vérifier le lien entre éducation et croissance ?
      by jcbriquet in Ressources pour économistes on 2012-05-03 14:58:11
  3. Eren, Ozkan & Henderson, Daniel J., 2011. "Are We Wasting Our Children's Time by Giving Them More Homework?," IZA Discussion Papers 5547, Institute of Labor Economics (IZA).

    Mentioned in:

    1. Är det bra med läxor?
      by Eva Mörk in Ekonomistas on 2009-04-03 12:59:00
    2. Is homework worth the time?
      by Economic Logician in Economic Logic on 2011-04-15 19:24:00
  4. Henderson, Daniel J. & Qian, Junhui & Wang, Le, 2015. "The Inequality-Growth Plateau," IZA Discussion Papers 8771, Institute of Labor Economics (IZA).

    Mentioned in:

    1. Can inequality affect growth?
      by nawmsayn in ZeeConomics on 2015-03-02 00:01:52
  5. Henderson, Daniel J. & Kumbhakar, Subal C. & Parmeter, Christopher F., 2012. "A Simple Method to Visualize Results in Nonlinear Regression Models," IZA Discussion Papers 6781, Institute of Labor Economics (IZA).

    Mentioned in:

    1. What I Learned Last Week
      by Dave Giles in Econometrics Beat: Dave Giles' Blog on 2012-10-13 09:19:00

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Kai Sun & Daniel J. Henderson & Subal C. Kumbhakar, 2011. "Biases in approximating log production," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(4), pages 708-714, June.

    Mentioned in:

    1. Biases in approximating log production (Journal of Applied Econometrics 2011) in ReplicationWiki ()
  2. Chi‐Yang Chu & Daniel J. Henderson & Le Wang, 2017. "The Robust Relationship Between us Food Aid and Civil Conflict," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(5), pages 1027-1032, August.

    Mentioned in:

    1. The Robust Relationship Between us Food Aid and Civil Conflict (Journal of Applied Econometrics 2017) in ReplicationWiki ()
  3. Daniel J. Henderson & Daniel L. Millimet, 2008. "Is gravity linear?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(2), pages 137-172.

    Mentioned in:

    1. Is gravity linear? (Journal of Applied Econometrics 2008) in ReplicationWiki ()
  4. Daniel J. Henderson, 2010. "A test for multimodality of regression derivatives with application to nonparametric growth regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(3), pages 458-480.

    Mentioned in:

    1. A test for multimodality of regression derivatives with application to nonparametric growth regressions (Journal of Applied Econometrics 2010) in ReplicationWiki ()
  5. Daniel J. Henderson & Christopher F. Parmeter & Subal C. Kumbhakar, 2007. "Nonparametric estimation of a hedonic price function," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 695-699.

    Mentioned in:

    1. Nonparametric estimation of a hedonic price function (Journal of Applied Econometrics 2007) in ReplicationWiki ()

Working papers

  1. Henderson, Daniel J. & Sperlich, Stefan, 2022. "A Complete Framework for Model-Free Difference-in-Differences Estimation," IZA Discussion Papers 15799, Institute of Labor Economics (IZA).

    Cited by:

    1. Tran, Nhan, 2023. "The effects of deferred action for childhood arrivals on labor market outcomes," MPRA Paper 118496, University Library of Munich, Germany.

  2. Badunenko, Oleg & Henderson, Daniel J., 2021. "Production Analysis with Asymmetric Noise," MPRA Paper 110888, University Library of Munich, Germany.

    Cited by:

    1. Hung-pin Lai & Subal C. Kumbhakar, 2023. "Indirect inference estimation of stochastic production frontier models with skew-normal noise," Empirical Economics, Springer, vol. 64(6), pages 2771-2793, June.
    2. William C. Horrace & Christopher F. Parmeter & Ian A. Wright, 2024. "On asymmetry and quantile estimation of the stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 61(1), pages 19-36, February.
    3. Graziella Bonanno & Filippo Domma, 2022. "Analytical Derivations of New Specifications for Stochastic Frontiers with Applications," Mathematics, MDPI, vol. 10(20), pages 1-17, October.
    4. Alecos Papadopoulos, 2023. "The noise error component in stochastic frontier analysis," Empirical Economics, Springer, vol. 64(6), pages 2795-2829, June.
    5. Stead, Alexander D. & Wheat, Phill & Greene, William H., 2023. "Robust maximum likelihood estimation of stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 309(1), pages 188-201.

  3. Regmi, Krishna & Henderson, Daniel J., 2019. "Labor Demand Shocks at Birth and Cognitive Achievement during Childhood," IZA Discussion Papers 12521, Institute of Labor Economics (IZA).

    Cited by:

    1. Jason M. Lindo & Krishna Regmi & Isaac Swensen, 2020. "Stable Income, Stable Family," NBER Working Papers 27753, National Bureau of Economic Research, Inc.
    2. Diana Alessandrini & Bharat Diwakar, 2023. "The Intergenerational Effects of Recessions," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 69(4), pages 1060-1087, December.
    3. Tsaneva Magda & Balakrishnan Uttara, 2021. "Local Labor Markets and Child Learning Outcomes in India," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 21(2), pages 723-750, April.
    4. Salari, Mahmoud & Noghanibehambari, Hamid, 2021. "Natural resources, women and corruption," Resources Policy, Elsevier, vol. 74(C).

  4. Henderson, Daniel J. & Souto, Anne-Charlotte, 2018. "An Introduction to Nonparametric Regression for Labor Economists," IZA Discussion Papers 11914, Institute of Labor Economics (IZA).

    Cited by:

    1. Daniel J. Henderson & Anne-Charlotte Souto & Le Wang, 2020. "Higher-Order Risk–Returns to Education," JRFM, MDPI, vol. 13(11), pages 1-25, October.
    2. Girard, Alexandre & Gnabo, Jean-Yves & Londoño van Rutten, Rodrigo, 2023. "Firm performance and the crowd effect in lobbying competition," Finance Research Letters, Elsevier, vol. 53(C).
    3. Hervé Cardot & Antonio Musolesi, 2021. "Zero-inflated regression for unobserved effects panel data models and difference-in-differences estimation," SEEDS Working Papers 1121, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Dec 2021.
    4. Masayuki Hirukawa & Irina Murtazashvili & Artem Prokhorov, 2022. "Uniform convergence rates for nonparametric estimators smoothed by the beta kernel," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(3), pages 1353-1382, September.
    5. Teresa D. Harrison & Daniel J. Henderson & Deniz Ozabaci & Christopher A. Laincz, 2023. "Does one size fit all in the non‐profit donation production function?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(2), pages 373-402, April.
    6. Shr, Yau-Huo & Hsu, Wen & Hwang, Bing-Fang & Jung, Chau-Ren, 2023. "Air quality and risky behaviors on roads," Journal of Environmental Economics and Management, Elsevier, vol. 118(C).
    7. Wen Hsu & Bing-Fang Hwang & Chau-Ren Jung & Yau-Huo Jimmy Shr, 2021. "Can Air Pollution Save Lives? Air Quality and Risky Behaviors on Roads," Papers 2111.06837, arXiv.org, revised Dec 2021.

  5. Daniel J. Henderson & Christopher F. Parmeter & Liangjun Su, 2017. "M-Estimation of a Nonparametric Threshold Regression Model," Working Papers 2017-15, University of Miami, Department of Economics.

    Cited by:

    1. Yoonseok Lee & Yulong Wang, 2019. "Threshold Regression with Nonparametric Sample Splitting," Papers 1905.13140, arXiv.org, revised Jan 2021.

  6. Henderson, Daniel J. & Houtenville, Andrew & Wang, Le, 2017. "The Distribution of Returns to Education for People with Disabilities," IZA Discussion Papers 10747, Institute of Labor Economics (IZA).

    Cited by:

    1. Simon Reinwald & Silvia Annen, 2023. "Influence of Gender and Prior Education Intersectionality on Further Education Investments and Job Satisfaction," SAGE Open, , vol. 13(2), pages 21582440231, June.

  7. Oleg Badunenko & Daniel J. Henderson & Valentin Zelenyuk, 2017. "The Productivity of Nations," Working Papers in Economics & Finance 2017-05, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.

    Cited by:

    1. Yan Meng & Christopher F. Parmeter & Valentin Zelenyuk, 2023. "Is newer always better? A reinvestigation of productivity dynamics using updated PWT data," Journal of Productivity Analysis, Springer, vol. 59(1), pages 1-13, February.
    2. Yan Meng & Christopher F. Parameter & Valentin Zelenyuk, 2021. "Is Newer Always Better? A Reinvestigation Of Productivity Dynamics," CEPA Working Papers Series WP062021, School of Economics, University of Queensland, Australia.
    3. Oleg Badunenko & Daniel J. Henderson & Valentin Zelenyuk, 2007. "Technological Change and Transition: Relative Contributions to Worldwide Growth during the 1990s," Discussion Papers of DIW Berlin 740, DIW Berlin, German Institute for Economic Research.
    4. Oleg Badunenko, 2017. "Labor Market Regulations and Growth," Working Papers in Economics & Finance 2017-07, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    5. Laurens Cherchye & Bram De Rock & Dieter Saelens & Marijn Verschelde, 2022. "Productive Efficiency Analysis with Incomplete Output Information," Working Papers ECARES 2022-21, ULB -- Universite Libre de Bruxelles.

  8. Henderson, Daniel & Simar, Leopold & Wang, Le, 2017. "The Three Is of Public Schools: Irrelevant Inputs, Insufficient Resources and Inefficiency," LIDAM Reprints ISBA 2017009, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).

    Cited by:

    1. Lori Taylor & Shawna Grosskopf & Kathy Hayes & Laura Razzolini, 2023. "The role of poverty measurements in achieving educational equity through school finance reform," Journal of Productivity Analysis, Springer, vol. 60(2), pages 109-127, October.
    2. Sam Jones, 2020. "Testing the Technology of Human Capital Production: A General‐to‐Restricted Framework," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(6), pages 1429-1455, December.

  9. Henderson, Daniel J. & Qian, Junhui & Wang, Le, 2015. "The Inequality-Growth Plateau," IZA Discussion Papers 8771, Institute of Labor Economics (IZA).

    Cited by:

    1. Jianu, Ionuț & Dinu, Marin & Huru, Dragoș & Bodislav, Alexandru, 2021. "Examining the Relationship between Income Inequality and Growth from the Perspective of EU Member States’ Stage of Development," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 13(9).
    2. Kirill Borissov & Mikhail Pakhnin, 2018. "Economic growth and property rights on natural resources," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 65(2), pages 423-482, March.
    3. Adnen Ben Nasr & Mehmet Balcilar & Rangan Gupta & Seyi Saint Akadiri, 2020. "Asymmetric effects of inequality on real output levels of the United States," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 10(1), pages 47-69, March.
    4. Aissaoui, Najeh & Ben Hassen, Lobna, 2015. "Skill-biased Technological Change, E-skills and Wage Inequality: Evidence from Tunisia," MPRA Paper 76551, University Library of Munich, Germany, revised 29 Jun 2015.
    5. Adnen Ben Nasr & Mehmet Balcilar & Seyi Saint Akadiri & Rangan Gupta, 2019. "Kuznets Curve for the US: A Reconsideration Using Cosummability," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(2), pages 827-843, April.
    6. Seyi Saint Akadiri & Ada Chigozie Akadiri, 2018. "Growth and Inequality in Africa: Reconsideration," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 4(3), pages 76-86, September.
    7. Mehmet Balcilar & Rangan Gupta & Wei Ma & Philton Makena, 2021. "Income inequality and economic growth: A re‐examination of theory and evidence," Review of Development Economics, Wiley Blackwell, vol. 25(2), pages 737-757, May.
    8. Adnen Ben Nasr & Mehmet Balcilar & Rangan Gupta & Seyi Saint Akadiri, 2018. "Asymmetric Effects of Inequality on Per Capita Real GDP of the United States," Working Papers 201820, University of Pretoria, Department of Economics.
    9. Gregory Brock, 2020. "The real Oaxaca decomposition: convergence within Mexico’s Oaxaca region in the twenty-first century—Do types of crime and religious belief matter?," Economic Change and Restructuring, Springer, vol. 53(4), pages 543-569, November.
    10. Shinhye Chang & Matthew W. Clance & Giray Gozgor & Rangan Gupta, 2019. "A Reconsideration of Kuznets Curve across Countries: Evidence from the Co-summability Approach," Working Papers 201970, University of Pretoria, Department of Economics.

  10. Daniel J. Henderson & Christopher F. Parmeter, 2015. "Single-Step Estimation of a Partially Linear Model," Working Papers 2015-01, University of Miami, Department of Economics.

    Cited by:

    1. Yixiao Jiang, 2020. "A Hausman Test for Partially Linear Models with an Application to Implied Volatility Surface," JRFM, MDPI, vol. 13(11), pages 1-12, November.

  11. Ozabaci, Deniz & Henderson, Daniel J., 2014. "Additive Kernel Estimates of Returns to Schooling," IZA Discussion Papers 8736, Institute of Labor Economics (IZA).

    Cited by:

    1. Daniel J. Henderson & Anne-Charlotte Souto & Le Wang, 2020. "Higher-Order Risk–Returns to Education," JRFM, MDPI, vol. 13(11), pages 1-25, October.

  12. Ozabaci, Deniz & Henderson, Daniel J. & Su, Liangjun, 2014. "Additive Nonparametric Regression in the Presence of Endogenous Regressors," IZA Discussion Papers 8144, Institute of Labor Economics (IZA).

    Cited by:

    1. Xin Geng & Carlos Martins-Filho & Feng Yao, 2015. "Estimation of a Partially Linear Regression in Triangular Systems," Working Papers 15-46, Department of Economics, West Virginia University.
    2. Kourtellos, Andros & Stengos, Thanasis & Sun, Yiguo, 2022. "Endogeneity In Semiparametric Threshold Regression," Econometric Theory, Cambridge University Press, vol. 38(3), pages 562-595, June.
    3. Regmi, Krishna & Henderson, Daniel J., 2019. "Labor Demand Shocks at Birth and Cognitive Achievement during Childhood," IZA Discussion Papers 12521, Institute of Labor Economics (IZA).
    4. Mustafa Koroglu, 2019. "Growth and Debt: An Endogenous Smooth Coefficient Approach," JRFM, MDPI, vol. 12(1), pages 1-22, February.
    5. Kumbhakar, Subal C. & Li, Mingyang & Lien, Gudbrand, 2023. "Do subsidies matter in productivity and profitability changes?," Economic Modelling, Elsevier, vol. 123(C).
    6. Teresa D. Harrison & Daniel J. Henderson & Deniz Ozabaci & Christopher A. Laincz, 2023. "Does one size fit all in the non‐profit donation production function?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(2), pages 373-402, April.
    7. Centorrino Samuele & Feve Frederique & Florens Jean-Pierre, 2017. "Additive Nonparametric Instrumental Regressions: A Guide to Implementation," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-25, January.
    8. Regmi, Krishna & J. Henderson, Daniel, 2019. "Labor demand shocks at birth and cognitive achievement during childhood," Economics of Education Review, Elsevier, vol. 73(C).
    9. Qingliang Fan & Zijian Guo & Ziwei Mei & Cun-Hui Zhang, 2023. "Inference for Nonlinear Endogenous Treatment Effects Accounting for High-Dimensional Covariate Complexity," Papers 2310.08063, arXiv.org, revised Jun 2024.
    10. Henderson, Daniel J. & Souto, Anne-Charlotte, 2018. "An Introduction to Nonparametric Regression for Labor Economists," IZA Discussion Papers 11914, Institute of Labor Economics (IZA).
    11. Hao Dong & Taisuke Otsu & Luke Taylor, 2022. "Nonparametric estimation of additive models with errors-in-variables," Econometric Reviews, Taylor & Francis Journals, vol. 41(10), pages 1164-1204, November.
    12. Chi‐Yang Chu & Mingming Jiang, 2021. "Financial depth, income inequality, and economic transition," Southern Economic Journal, John Wiley & Sons, vol. 88(1), pages 199-244, July.
    13. Taining Wang & Feng Yao & Subal C. Kumbhakar, 2024. "A flexible stochastic production frontier model with panel data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(4), pages 564-588, June.

  13. Daniel J. Henderson & Qi Li & Christopher F. Parmeter, 2013. "Gradient Based Smoothing Parameter Selection for Nonparametric Regression Estimation," Working Papers 2014-01, University of Miami, Department of Economics.

    Cited by:

    1. Shakeeb Khan & Arnaud Maurel & Yichong Zhang, 2021. "Informational Content of Factor Structures in Simultaneous Binary Response Models," NBER Working Papers 28327, National Bureau of Economic Research, Inc.
    2. Leopold Simar & Ingrid Van Keilegom & Valentin Zelenyuk, 2014. "Nonparametric Least Squares Methods for Stochastic Frontier Models," CEPA Working Papers Series WP032014, School of Economics, University of Queensland, Australia.
    3. Salim Bouzebda & Mohamed Chaouch & Sultana Didi Biha, 2022. "Asymptotics for function derivatives estimators based on stationary and ergodic discrete time processes," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 74(4), pages 737-771, August.
    4. Centorrino, Samuele & Parmeter, Christopher F., 2024. "Nonparametric estimation of stochastic frontier models with weak separability," Journal of Econometrics, Elsevier, vol. 238(2).
    5. Geng, Xin & Sun, Kai, 2019. "Gradient estimation of the local-constant semiparametric smooth coefficient model," Economics Letters, Elsevier, vol. 185(C).
    6. De Monte Enrico, 2024. "Nonparametric Instrumental Regression with Two-Way Fixed Effects," Journal of Econometric Methods, De Gruyter, vol. 13(1), pages 49-66, January.
    7. Lin, Wei & Cai, Zongwu & Li, Zheng & Su, Li, 2015. "Optimal smoothing in nonparametric conditional quantile derivative function estimation," Journal of Econometrics, Elsevier, vol. 188(2), pages 502-513.
    8. Li, Cong & Wang, Yanfei, 2016. "Gradient-based bandwidth selection for estimating average derivatives," Economics Letters, Elsevier, vol. 140(C), pages 19-22.
    9. Zhou, Jianhua & Parmeter, Christopher F. & Kumbhakar, Subal C., 2020. "Nonparametric estimation of the determinants of inefficiency in the presence of firm heterogeneity," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1142-1152.
    10. Xie, Qichang & Sun, Qiankun, 2019. "Computation and application of robust data-driven bandwidth selection for gradient function estimation," Applied Mathematics and Computation, Elsevier, vol. 361(C), pages 274-293.
    11. Wei, Jie & Zhang, Yonghui, 2020. "A time-varying diffusion index forecasting model," Economics Letters, Elsevier, vol. 193(C).
    12. Christopher F. Parmeter & Valentin Zelenyuk, 2016. "A Bridge Too Far? The State of the Art in Combining the Virtues of Stochastic Frontier Analysis and Data Envelopement Analysis," Working Papers 2016-10, University of Miami, Department of Economics.

  14. Oleg Badunenko & Daniel J. Henderson & Romain Houssa, 2012. "Significant Drivers of Growth in Africa," Working Papers 1208, University of Namur, Department of Economics.

    Cited by:

    1. Jens J. Krüger, 2020. "Long‐run productivity trends: A global update with a global index," Review of Development Economics, Wiley Blackwell, vol. 24(4), pages 1393-1412, November.
    2. Nickolaos G. Tzeremes, 2019. "Technological change, technological catch-up and export orientation: evidence from Latin American Countries," Journal of Productivity Analysis, Springer, vol. 52(1), pages 85-100, December.
    3. Glass, Anthony J. & Kenjegalieva, Karligash & Ajayi, Victor & Adetutu, Morakinyo & Sickles, Robin C., 2016. "Relative Winners and Losers from Efficiency Spillovers in Africa with Policy Implications for Regional Integration," Working Papers 16-003, Rice University, Department of Economics.
    4. Oleg Badunenko & Daniel J. Henderson & Valentin Zelenyuk, 2017. "The Productivity of Nations," Working Papers in Economics & Finance 2017-05, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    5. Simar, Léopold & Wilson, Paul, 2022. "Another Look at Productivity Growth in Industrialized Countries," LIDAM Discussion Papers ISBA 2022028, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    6. EZZAHIDI, Elhadj & El Alaoui, Aicha, 2015. "Determinants of the recent growth surge in Africa: what changed since mid-1990s?," MPRA Paper 67792, University Library of Munich, Germany.
    7. Amini, Shahram & Battisti, Michele & Parmeter, Christopher F., 2017. "Decomposing changes in the conditional variance of GDP over time," Economic Modelling, Elsevier, vol. 61(C), pages 376-387.

  15. : Daniel J. Henderson & Chris Papageorgiou & Christopher F. Parmeter, 2012. "Who Benefits from Financial Development? New Methods, New Evidence," Working Papers 2013-07, University of Miami, Department of Economics.

    Cited by:

    1. Deniz Baglan & Emre Yoldas, 2014. "Non-linearity in the Inflation-Growth Relationship in Developing Economies: Evidence from a Semiparametric Panel Model," Finance and Economics Discussion Series 2014-51, Board of Governors of the Federal Reserve System (U.S.).
    2. Effiong, Ekpeno L. & Asuquo, Emmanuel E., 2016. "Migrants' Remittances, Governance and Heterogeneity," MPRA Paper 74753, University Library of Munich, Germany.
    3. Lisa Chauvet & Luc Jacolin, 2017. "Financial inclusion, bank concentration, and firm performance," Post-Print hal-02277478, HAL.
    4. Liu, Guan-Chun & Lee, Chien-Chiang & Lee, Chi-Chuan, 2016. "The nexus between insurance activity and economic growth: A bootstrap rolling window approach," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 299-319.
    5. Durusu-Ciftci, Dilek & Ispir, M. Serdar & Yetkiner, Hakan, 2017. "Financial development and economic growth: Some theory and more evidence," Journal of Policy Modeling, Elsevier, vol. 39(2), pages 290-306.
    6. Jesús Peiró-Palomino, 2016. "Social Capital and Economic Growth in Europe: Nonlinear Trends and Heterogeneous Regional Effects," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(5), pages 717-751, October.
    7. Jesús Peiró-Palomino & Anabel Forte Deltell, 2013. "Does social capital matter for European regional growth?," Working Papers 2013/02, Economics Department, Universitat Jaume I, Castellón (Spain).
    8. Kizito Uyi Ehigiamusoe & Mohamad Shaharudin Samsurijan, 2021. "What matters for finance‐growth nexus? A critical survey of macroeconomic stability, institutions, financial and economic development," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5302-5320, October.
    9. Tapsoba,Sampawende J.-A. & Kouame,Wilfried Anicet Kouakou, 2018. "Structural reforms and firms'productivity : evidence from developing countries," Policy Research Working Paper Series 8308, The World Bank.
    10. Ketteni, Elena & Kottaridi, Constantina, 2019. "Credit market deregulation and economic growth: Further insights using a marginal integration approach," Journal of Macroeconomics, Elsevier, vol. 62(C).
    11. Khan, Muhammad Atif & Gu, Lulu & Khan, Muhammad Asif & Oláh, Judit, 2020. "Natural resources and financial development: The role of institutional quality," Journal of Multinational Financial Management, Elsevier, vol. 56(C).
    12. Tibebe A. Assefa & André Varella Mollick, 2017. "Financial Development and Economic Growth in Africa," Journal of African Business, Taylor & Francis Journals, vol. 18(3), pages 320-339, July.
    13. Michael S. Delgado & Nadine McCloud, 2017. "Foreign direct investment and the domestic capital stock: the good–bad role of higher institutional quality," Empirical Economics, Springer, vol. 53(4), pages 1587-1637, December.
    14. Jetter, Michael & Nikolsko-Rzhevskyy, Alex & Smith, William T., 2013. "The effects of wage volatility on growth," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 93-109.
    15. Sabri Boubaker & Duc Khuong Nguyen & Vanja Piljak & Andreas Savvides, 2018. "Financial Development, Government Bond Returns, and Stability: International Evidence," Working Papers 2018-007, Department of Research, Ipag Business School.
    16. Das, Monica & Basu, Sudip R., 2023. "Inclusive bank based financial development in countries with special needs: A semiparametric analysis," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 740-753.
    17. Arribas, Iván & Peiró-Palomino, Jesús & Tortosa-Ausina, Emili, 2020. "Is full banking integration desirable?," Journal of Banking & Finance, Elsevier, vol. 112(C).
    18. Nicolas Gavoille & Marijn Verschelde, 2017. "Electoral competition and political selection: An analysis of the activity of French deputies, 1958–2012," Post-Print hal-01745350, HAL.
    19. Simplice A. Asongu & Jacinta C. Nwachukwu, 2017. "At what levels of financial development does information sharing matter?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 3(1), pages 1-30, December.
    20. Camarero, Mariam & Peiró-Palomino, Jesús & Tamarit, Cecilio, 2019. "Growth in a time of external imbalances," Economic Modelling, Elsevier, vol. 79(C), pages 262-275.
    21. Georgios Chortareas & Georgios Magkonis & Demetrios Moschos & Theodore Panagiotidis, 2015. "Financial Development and Economic Activity in Advanced and Developing Open Economies: Evidence from Panel Cointegration," Review of Development Economics, Wiley Blackwell, vol. 19(1), pages 163-177, February.
    22. Emmanuel Amissah & Katarzyna Świerczyńska, 2021. "Is Religion a Determinant of Financial Development?," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 27(3), pages 233-247, August.
    23. Yang, Xue & Zhang, Peng & Zhao, Zuoxiang & Koondhar, Mansoor Ahmed, 2024. "How disaggregated natural resources rents affect financial development: From the perspective of sustainable development," Resources Policy, Elsevier, vol. 92(C).
    24. Maty Konte, 2018. "Do remittances not promote growth? A finite mixture-of-regressions approach," Empirical Economics, Springer, vol. 54(2), pages 747-782, March.
    25. Neanidis, Kyriakos C., 2019. "Volatile capital flows and economic growth: The role of banking supervision," Journal of Financial Stability, Elsevier, vol. 40(C), pages 77-93.
    26. Michele Battisti & Massimo Del Gatto & Christopher F. Parmeter, 2018. "Labor productivity growth: disentangling technology and capital accumulation," Journal of Economic Growth, Springer, vol. 23(1), pages 111-143, March.
    27. Kyriakos C. Neanidis, 2015. "Volatile Capital Flows and Economic Growth: The Role of Macro-prudential Regulation," Centre for Growth and Business Cycle Research Discussion Paper Series 215, Economics, The University of Manchester.
    28. Ruiz, Jose L., 2018. "Financial development, institutional investors, and economic growth," International Review of Economics & Finance, Elsevier, vol. 54(C), pages 218-224.
    29. Andini, Monica & Andini, Corrado, 2014. "Finance, growth and quantile parameter heterogeneity," Journal of Macroeconomics, Elsevier, vol. 40(C), pages 308-322.
    30. Mª Teresa Balaguer-Coll & Isabel Narbón-Perpiñá & Jesús Peiró-Palomino & Emili Tortosa-Ausina, 2020. "Quality of government and economic growth at the municipal level: Evidence from Spain," Working Papers 2020/04, Economics Department, Universitat Jaume I, Castellón (Spain).
    31. Boris Lavrovskii, 2018. "Assessment of Innovation Intensity: the Case of USA," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(1), pages 281-291.
    32. Prettner, Catherine, 2016. "Nonlinearities and Parameter Instability in the Finance-Growth Nexus," Department of Economics Working Paper Series 224, WU Vienna University of Economics and Business.
    33. Mariam Camarero & Jesús Peiró-Palomino & Cecilio Tamarit, 2018. "External imbalances and growth," Working Papers 1808, Department of Applied Economics II, Universidad de Valencia.
    34. Lee, Chi-Chuan & Lee, Chien-Chiang & Chiou, Yan-Yu, 2017. "Insurance activities, globalization, and economic growth: New methods, new evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 155-170.
    35. Haupt, Harry & Schnurbus, Joachim & Semmler, Willi, 2018. "Estimation of grouped, time-varying convergence in economic growth," Econometrics and Statistics, Elsevier, vol. 8(C), pages 141-158.
    36. Jetter, Michael, 2013. "Volatility and Growth: Governments are Key," IZA Discussion Papers 7826, Institute of Labor Economics (IZA).
    37. Catherine Prettner, 2016. "Nonlinearities and Parameter Instability in the Finance-Growth Nexus," Department of Economics Working Papers wuwp224, Vienna University of Economics and Business, Department of Economics.
    38. Lisa Chauvet & Luc Jacolin, 2015. "Financial Inclusion and Firms performance," Post-Print hal-01516871, HAL.
    39. Michael O'Hara & Christopher F. Parmeter, 2013. "Nonparametric Generalized Least Squares in Applied Regression Analysis," Pacific Economic Review, Wiley Blackwell, vol. 18(4), pages 456-474, October.
    40. Marta Degl'Innocenti & Roman Matousek & Nickolaos G Tzeremes, 2018. "Financial centres' competitiveness and economic convergence: Evidence from the European Union regions," Environment and Planning A, , vol. 50(1), pages 133-156, February.
    41. Fareeha Adil & Rabia Nazir, 2023. "Firms Financial Inclusion and Export Performance: Evidence from Manufacturing Sector Firms in Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 62(3), pages 409-430.
    42. Agne Setikiene & Mindaugas Butkus, 2021. "The Heterogeneous Impact of Financialisation on Economic Growth in the Long Run," JRFM, MDPI, vol. 14(5), pages 1-30, May.
    43. Daniel J. Henderson & Christopher F. Parmeter & Liangjun Su, 2017. "M-Estimation of a Nonparametric Threshold Regression Model," Working Papers 2017-15, University of Miami, Department of Economics.
    44. Durga P. Gautam, 2014. "Remittances and Governance: Does the Government Free Ride?," Working Papers 14-40, Department of Economics, West Virginia University.
    45. Walheer, Barnabé, 2021. "Labor productivity and technology heterogeneity," Journal of Macroeconomics, Elsevier, vol. 68(C).
    46. Guangdong Xu & Binwei Gui, 2021. "The non‐linearity between finance and economic growth: a literature review and evidence from China," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 35(1), pages 3-18, May.
    47. Mekki Hamdaoui & Samir Maktouf, 2019. "Overall effects of financial liberalization: financial crisis versus economic growth," International Review of Applied Economics, Taylor & Francis Journals, vol. 33(4), pages 568-595, July.
    48. Michael Jetter, 2013. "Volatility and Growth: An Explanation for the Disagreement," Documentos de Trabajo de Valor Público 10944, Universidad EAFIT.
    49. Fitzpatrick, Luke & Parmeter, Christopher F. & Agar, Juan, 2019. "Approaches for visualizing uncertainty in benefit transfer from metaregression," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.

  16. Delgado, Michael S. & Henderson, Daniel J. & Parmeter, Christopher F., 2012. "Does Education Matter for Economic Growth?," IZA Discussion Papers 7089, Institute of Labor Economics (IZA).

    Cited by:

    1. Deniz Baglan & Emre Yoldas, 2014. "Non-linearity in the Inflation-Growth Relationship in Developing Economies: Evidence from a Semiparametric Panel Model," Finance and Economics Discussion Series 2014-51, Board of Governors of the Federal Reserve System (U.S.).
    2. Md. Rabiul Islam, 2010. "Quality-adjusted Human Capital and Productivity Growth," Monash Economics Working Papers 48-10, Monash University, Department of Economics.
    3. Yasser Y. Tamsamani & Brunet-Jailly Joseph & Abdellatif Komat & Fouzi Mourji, 2019. "An alternative development model for Morocco [Pour un modèle alternatif de développement du Maroc]," Working Papers hal-03104703, HAL.
    4. Naima Chrid & Sami Saafi & Mohamed Chakroun, 2021. "Export Upgrading and Economic Growth: a Panel Cointegration and Causality Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(2), pages 811-841, June.
    5. Mduduzi Biyase & Frederich Kirsten, 2020. "Education and Economic Growth in Cape and Natal Colonies:Learning from History," Journal of Developing Areas, Tennessee State University, College of Business, vol. 54(1), pages 105-120, January-M.
    6. Mastromarco, Camilla & Simar, Léopold, 2021. "Latent heterogeneity to evaluate the effect of human capital on world technology frontier," LIDAM Reprints ISBA 2021009, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    7. J. David Brown & Gustavo A. Crespi & Leonardo Iacovone & Luca Marcolin, 2018. "Decomposing firm-level productivity growth and assessing its determinants: evidence from the Americas," The Journal of Technology Transfer, Springer, vol. 43(6), pages 1571-1606, December.
    8. Oleg Badunenko & Daniel Henderson & Romain Houssa, 2014. "Significant drivers of growth in Africa," Journal of Productivity Analysis, Springer, vol. 42(3), pages 339-354, December.
    9. Mohamed Chakroun & Naima Chrid & Sami Saafi, 2021. "Does export upgrading really matter to economic growth? Evidence from panel data for high‐, middle‐ and low‐income countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5584-5609, October.
    10. Agiropoulos, Charalampos & Karkalakos, Sotiris & Polemis, Michael, 2019. "Revisiting the finance-growth nexus: A socioeconomic approach," MPRA Paper 95209, University Library of Munich, Germany.
    11. Alberto Ibanez & Ahmed AlRadaideh & Juan Antonio Jimber del Rio & Gyanendra Singh Sisodia, 2024. "Good Governance and Innovation: a Renewed Global Framework for National and Supranational Policy Advancement," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 5794-5816, June.
    12. Michael Jetter & Christopher F. Parmeter, 2020. "Reply to “A Replication of “Sorting through Global Corruption Determinants: Institutions and Education Matter— Not Culture†(World Development, 2018)â€," Public Finance Review, , vol. 48(4), pages 568-576, July.
    13. Fleur Wouterse, 2016. "Can human capital variables be technology changing? An empirical test for rural households in Burkina Faso," Journal of Productivity Analysis, Springer, vol. 45(2), pages 157-172, April.
    14. Philip Kostov & Julie Le Gallo, 2015. "Convergence: A Story of Quantiles and Spillovers," Post-Print hal-01868567, HAL.
    15. Teixeira, Aurora A.C. & Queirós, Anabela S.S., 2016. "Economic growth, human capital and structural change: A dynamic panel data analysis," Research Policy, Elsevier, vol. 45(8), pages 1636-1648.
    16. Paul J. Burke & Ashani Abayasekara, 2018. "The Price Elasticity of Electricity Demand in the United States: A Three-Dimensional Analysis," The Energy Journal, , vol. 39(2), pages 123-146, March.
    17. Henderson, Daniel J. & Qian, Junhui & Wang, Le, 2015. "The Inequality-Growth Plateau," IZA Discussion Papers 8771, Institute of Labor Economics (IZA).
    18. Mora Rodríguez, Jhon James & Estrada Nates, Daniela, 2021. "La relación entre el desarrollo de los municipios y la puntuación en Matemáticas: un caso aplicado para Colombia|| The relationship between the municipality development and mathematic score: the Colom," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 32(1), pages 112-129, December.
    19. Yan Meng & Christopher F. Parameter & Valentin Zelenyuk, 2021. "Is Newer Always Better? A Reinvestigation Of Productivity Dynamics," CEPA Working Papers Series WP062021, School of Economics, University of Queensland, Australia.
    20. Donatella Saccone & Mario Deaglio, 2020. "Poverty, emergence, boom and affluence: a new classification of economies," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(1), pages 267-306, April.
    21. Cooke, Abigail & Kemeny, Thomas, 2017. "Cities, immigrant diversity, and complex problem solving," Research Policy, Elsevier, vol. 46(6), pages 1175-1185.
    22. Almeida, Alexandre N. & Santos, Augusto S. & Halmenschlager, Vinícius & Gilio, Leandro & Diniz, Tiago B. & Ferreira, Alexandre A. S., 2016. "Flexible-fuel automobiles and CO2 emissions in Brazil: a semiparametric analysis using panel data," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235733, Agricultural and Applied Economics Association.
    23. Michael Polemis & Dr Aikaterina Oikonomou, 2022. "A note on the human capital and tourism growth nexus: a semi-parametric approach," Economics and Business Letters, Oviedo University Press, vol. 11(2), pages 79-87.
    24. Rosa Bernardini Papalia & Silvia Bertarelli, 2013. "Nonlinearities in economic growth and club convergence," Empirical Economics, Springer, vol. 44(3), pages 1171-1202, June.
    25. Abigail Cooke & Thomas Kemeny, 2015. "Spillovers from Immigrant Diversity in Cities," SERC Discussion Papers sercd0175, Centre for Economic Performance, LSE.
    26. Vicente Ríos & Antonio Gómez & Pedro Pascual, 2021. "Raising the Accuracy of Shadow Economy Measurements," Hacienda Pública Española / Review of Public Economics, IEF, vol. 239(4), pages 71-125, November.
    27. Bonin, Holger, 2017. "The Potential Economic Benefits of Education of Migrants in the EU," IZA Research Reports 75, Institute of Labor Economics (IZA).
    28. Theodore R. Breton & Andrew S. Breton, 2021. "Growth in a macro‐Mincer model: Good results with schooling and experience interactions," Review of Development Economics, Wiley Blackwell, vol. 25(2), pages 563-581, May.
    29. Guan, Jing & Tena, J.D., 2022. "Physical activity, leisure-time, cognition and academic grades: Connections and causal effects in Chinese students," Journal of Asian Economics, Elsevier, vol. 78(C).
    30. Saafi Sami & Nouira Ridha, 2018. "Re-Examining the Relationship Between Export Upgrading and Economic Growth: Is there a Threshold Effect?," The Economic and Social Review, Economic and Social Studies, vol. 49(4), pages 437-454.
    31. Madsen, Jakob B., 2016. "Health, Human Capital Formation And Knowledge Production: Two Centuries Of International Evidence," Macroeconomic Dynamics, Cambridge University Press, vol. 20(4), pages 909-953, June.
    32. Madsen, Jakob B. & Raschky, Paul A. & Skali, Ahmed, 2015. "Does democracy drive income in the world, 1500–2000?," European Economic Review, Elsevier, vol. 78(C), pages 175-195.
    33. Sui Chin Tan & Chong Mun Ho & Vincent Pang, 2016. "Why Has Education Inequality Widened in Sabah, Malaysia?," Economics Bulletin, AccessEcon, vol. 36(1), pages 569-575.
    34. Łukasz Jabłoński, 2021. "Ewolucja podejść do kapitału ludzkiego w naukach ekonomicznych," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 91-120.
    35. Ujjaini Mukhopadhyay, 2021. "Differential Education Subsidy Policy and Wage Inequality Between Skilled, Semi-skilled and Unskilled Labour: A General Equilibrium Approach," Review of Development and Change, , vol. 26(1), pages 40-62, June.
    36. Man, Georg, 2015. "Competition and the growth of nations: International evidence from Bayesian model averaging," Economic Modelling, Elsevier, vol. 51(C), pages 491-501.
    37. Miao Wang & Hong Zhuang, 2021. "FDI and educational outcomes in developing countries," Empirical Economics, Springer, vol. 61(6), pages 3505-3539, December.
    38. Roman Matousek & Nickolaos G. Tzeremes, 2021. "The asymmetric impact of human capital on economic growth," Empirical Economics, Springer, vol. 60(3), pages 1309-1334, March.
    39. Jarrín-V, Pablo & Falconí, Fander & Cango, Pedro & Ramos-Martin, Jesus, 2021. "Knowledge gaps in Latin America and the Caribbean and economic development," World Development, Elsevier, vol. 146(C).
    40. Neumann, Uwe, 2020. "Lebenslanges Lernen als Standortfaktor? Weiterbildungschancen im Vergleich der deutschen Bundesländer," RWI Materialien 138, RWI - Leibniz-Institut für Wirtschaftsforschung.
    41. Amini, Shahram & Battisti, Michele & Parmeter, Christopher F., 2017. "Decomposing changes in the conditional variance of GDP over time," Economic Modelling, Elsevier, vol. 61(C), pages 376-387.
    42. Csaba NAGY, 2016. "Why Do We Need Human Capital Index?," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 375-385, July.
    43. Piotr Tadeusz Wójcik, 2022. "The parallel convergence of income and educational achievements: joint distribution dynamics," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 68(3), pages 527-548, June.
    44. Sara Barcenilla-Visús & Carmen López-Pueyo, 2018. "Inside Europe: human capital and economic growth revisited," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(4), pages 821-847, November.

  17. Henderson, Daniel J. & Maasoumi, Esfandiar, 2012. "Searching for Rehabilitation in Nonparametric Regression Models with Exogenous Treatment Assignment," IZA Discussion Papers 6874, Institute of Labor Economics (IZA).

    Cited by:

    1. Ozabaci, Deniz & Henderson, Daniel J., 2014. "Additive Kernel Estimates of Returns to Schooling," IZA Discussion Papers 8736, Institute of Labor Economics (IZA).
    2. Daniel J. Henderson & Léopold Simar & Le Wang, 2017. "The three s of public schools: irrelevant inputs, insufficient resources and inefficiency," Applied Economics, Taylor & Francis Journals, vol. 49(12), pages 1164-1184, March.
    3. Durga P. Gautam, 2014. "Remittances and Governance: Does the Government Free Ride?," Working Papers 14-40, Department of Economics, West Virginia University.

  18. Henderson, Daniel J. & Kumbhakar, Subal C. & Parmeter, Christopher F., 2012. "A Simple Method to Visualize Results in Nonlinear Regression Models," IZA Discussion Papers 6781, Institute of Labor Economics (IZA).

    Cited by:

    1. Effiong, Ekpeno L. & Asuquo, Emmanuel E., 2016. "Migrants' Remittances, Governance and Heterogeneity," MPRA Paper 74753, University Library of Munich, Germany.
    2. Myint Moe Chit, 2018. "Political openness and the growth of small and medium enterprises: empirical evidence from transition economies," Empirical Economics, Springer, vol. 55(2), pages 781-804, September.
    3. Delgado, Michael S. & McCloud, Nadine & Kumbhakar, Subal C., 2014. "A generalized empirical model of corruption, foreign direct investment, and growth," Journal of Macroeconomics, Elsevier, vol. 42(C), pages 298-316.
    4. Christopher F. Parmeter & Hung-Jen Wang & Subal C. Kumbhakar, 2017. "Nonparametric estimation of the determinants of inefficiency," Journal of Productivity Analysis, Springer, vol. 47(3), pages 205-221, June.
    5. Anjan K. Saha & Vinod Mishra & Russell Smyth, 2021. "Financial development and top income shares in OECD countries," Southern Economic Journal, John Wiley & Sons, vol. 87(3), pages 952-978, January.
    6. Henderson, Daniel J. & Kumbhakar, Subal C. & Li, Qi & Parmeter, Christopher F., 2015. "Smooth coefficient estimation of a seemingly unrelated regression," Journal of Econometrics, Elsevier, vol. 189(1), pages 148-162.
    7. Daniel J. Henderson & Anne-Charlotte Souto & Le Wang, 2020. "Higher-Order Risk–Returns to Education," JRFM, MDPI, vol. 13(11), pages 1-25, October.
    8. Tadesse Getacher Engida & Christopher F. Parmeter & Xudong Rao & Alfons G.J.M. Oude Lansink, 2022. "Investment Inefficiency and Corporate Social Responsibility," Journal of Productivity Analysis, Springer, vol. 58(1), pages 95-108, August.
    9. Henderson, Daniel J. & Maasoumi, Esfandiar, 2012. "Searching for Rehabilitation in Nonparametric Regression Models with Exogenous Treatment Assignment," IZA Discussion Papers 6874, Institute of Labor Economics (IZA).
    10. Michael Delgado, 2013. "A smooth coefficient model of carbon emissions," Empirical Economics, Springer, vol. 45(3), pages 1049-1071, December.
    11. Liu, Weiwei & Egan, Kevin J, 2019. "A Semiparametric Smooth Coefficient Estimator for Recreation Demand," MPRA Paper 95294, University Library of Munich, Germany.
    12. Nicholas Marinucci & Kris Ivanovski, 2023. "Does Inequality Affect Climate Change? A Regional and Sectoral Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 166(3), pages 705-729, April.
    13. Camarero, Mariam & Peiró-Palomino, Jesús & Tamarit, Cecilio, 2019. "Growth in a time of external imbalances," Economic Modelling, Elsevier, vol. 79(C), pages 262-275.
    14. Diluiso, Francesca & Guastella, Gianni & Pareglio, Stefano, 2021. "Changes in urban green spaces’ value perception: A meta-analytic benefit transfer function for European cities," Land Use Policy, Elsevier, vol. 101(C).
    15. Ghazouani, Tarek, 2022. "Dynamic impact of globalization on renewable energy consumption: Non-parametric modelling evidence," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    16. Lien, Gudbrand & Kumbhakar, Subal C. & Mishra, Ashok K. & Hardaker, J. Brian, 2022. "Does risk management affect productivity of organic rice farmers in India? Evidence from a semiparametric production model," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1392-1402.
    17. Mustafa Koroglu, 2019. "Growth and Debt: An Endogenous Smooth Coefficient Approach," JRFM, MDPI, vol. 12(1), pages 1-22, February.
    18. Uddin, Md. Main & Mishra, Vinod & Smyth, Russell, 2020. "Income inequality and CO2 emissions in the G7, 1870–2014: Evidence from non-parametric modelling," Energy Economics, Elsevier, vol. 88(C).
    19. Teresa D. Harrison & Daniel J. Henderson & Deniz Ozabaci & Christopher A. Laincz, 2023. "Does one size fit all in the non‐profit donation production function?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(2), pages 373-402, April.
    20. Liu, Weiwei, 2015. "Gasoline taxes or efficiency standards? A heterogeneous household demand analysis," Energy Policy, Elsevier, vol. 80(C), pages 54-64.
    21. Michael Delgado & Christopher Parmeter & Valentina Hartarska & Roy Mersland, 2015. "Should all microfinance institutions mobilize microsavings? Evidence from economies of scope," Empirical Economics, Springer, vol. 48(1), pages 193-225, February.
    22. Marcos Sanso-Navarro & Maria Vera-Cabello, 2015. "The effects of knowledge and innovation on regional growth: Nonparametric evidence," ERSA conference papers ersa15p949, European Regional Science Association.
    23. Kaul, Sapna & Boyle, Kevin J. & Kuminoff, Nicolai V. & Parmeter, Christopher F. & Pope, Jaren C., 2013. "What can we learn from benefit transfer errors? Evidence from 20 years of research on convergent validity," Journal of Environmental Economics and Management, Elsevier, vol. 66(1), pages 90-104.
    24. Mariam Camarero & Jesús Peiró-Palomino & Cecilio Tamarit, 2018. "External imbalances and growth," Working Papers 1808, Department of Applied Economics II, Universidad de Valencia.
    25. Sefa Awaworyi Churchill & Bin Peng & Russell Smyth & Quanda Zhang, 2022. "R&D intensity and income inequality in the G7: 1870–2016," Scottish Journal of Political Economy, Scottish Economic Society, vol. 69(3), pages 263-282, July.
    26. Bhaumik, Sumon K. & Dimova, Ralitza & Kumbhakar, Subal C. & Sun, Kai, 2014. "More Is Better! What Can Firm-Specific Estimates of the Impact of Institutional Quality on Performance Tell Us?," IZA Discussion Papers 7886, Institute of Labor Economics (IZA).
    27. Lee, Wang-Sheng, 2014. "Big and Tall: Is there a Height Premium or Obesity Penalty in the Labor Market?," IZA Discussion Papers 8606, Institute of Labor Economics (IZA).

  19. Daniel Henderson & John List & Daniel Millimet & Christopher Parmeter & Michael Price, 2011. "Empirical Implementation of Nonparametric First-Price Auction Models," Artefactual Field Experiments 00469, The Field Experiments Website.

    Cited by:

    1. Wu, Ximing & Sickles, Robin, 2018. "Semiparametric estimation under shape constraints," Econometrics and Statistics, Elsevier, vol. 6(C), pages 74-89.
    2. Federico Zincenko, 2016. "Nonparametric Estimation of First-Price Auctions with Risk-Averse Bidders," Working Paper 5855, Department of Economics, University of Pittsburgh.
    3. Jun Ma & Vadim Marmer & Artyom Shneyerov & Pai Xu, 2019. "Monotonicity-Constrained Nonparametric Estimation and Inference for First-Price Auctions," Papers 1909.12974, arXiv.org.
    4. Zheng Li & Guannan Liu & Qi Li, 2017. "Nonparametric Knn estimation with monotone constraints," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 988-1006, October.
    5. Joris Pinkse & Karl Schurter, 2019. "Estimation of Auction Models with Shape Restrictions," Papers 1912.07466, arXiv.org.
    6. Lorentziadis, Panos L., 2016. "Optimal bidding in auctions from a game theory perspective," European Journal of Operational Research, Elsevier, vol. 248(2), pages 347-371.
    7. Satterthwaite, Mark A. & Williams, Steven R. & Zachariadis, Konstantinos E., 2014. "Optimality versus practicality in market design: A comparison of two double auctions," Games and Economic Behavior, Elsevier, vol. 86(C), pages 248-263.
    8. Sundström, David, 2016. "The Competition Effect in a Public Procurement Model: An error-in-variables approach," Umeå Economic Studies 920, Umeå University, Department of Economics, revised 17 Jun 2016.
    9. Levent Kutlu & Shasha Liu & Robin C. Sickles, 2022. "Cost, Revenue, and Profit Function Estimates," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 16, pages 641-679, Springer.
    10. Haitian Xie, 2023. "Grenander-type Density Estimation under Myerson Regularity," Papers 2305.09052, arXiv.org.
    11. Zhang, Yu Yvette, 2017. "A shape constrained estimator of bidding function of first-price sealed-bid auctions," Economics Letters, Elsevier, vol. 150(C), pages 67-72.
    12. Yao Luo & Yuanyuan Wan, 2018. "Integrated-Quantile-Based Estimation for First-Price Auction Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 173-180, January.
    13. Michael Delgado & Christopher Parmeter & Valentina Hartarska & Roy Mersland, 2015. "Should all microfinance institutions mobilize microsavings? Evidence from economies of scope," Empirical Economics, Springer, vol. 48(1), pages 193-225, February.
    14. Artem Prokhorov & Kien C. Tran & Mike G. Tsionas, 2021. "Estimation of semi- and nonparametric stochastic frontier models with endogenous regressors," Empirical Economics, Springer, vol. 60(6), pages 3043-3068, June.
    15. Ma, Jun & Marmer, Vadim & Shneyerov, Artyom, 2019. "Inference for first-price auctions with Guerre, Perrigne, and Vuong’s estimator," Journal of Econometrics, Elsevier, vol. 211(2), pages 507-538.
    16. Yashar Tarverdi, 2018. "Aspects of Governance and $$\hbox {CO}_2$$ CO 2 Emissions: A Non-linear Panel Data Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(1), pages 167-194, January.

  20. Henderson, Daniel J. & Polachek, Solomon & Wang, Le, 2011. "Heterogeneity in Schooling Rates of Return," IZA Discussion Papers 5662, Institute of Labor Economics (IZA).

    Cited by:

    1. Shweta Bahl & Ajay Sharma, 2021. "Education–Occupation Mismatch and Dispersion in Returns to Education: Evidence from India," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(1), pages 251-298, January.
    2. Md. Rabiul Islam, 2010. "Quality-adjusted Human Capital and Productivity Growth," Monash Economics Working Papers 48-10, Monash University, Department of Economics.
    3. Nick Huntington-Klein, 2021. "Human capital versus signaling is empirically unresolvable," Empirical Economics, Springer, vol. 60(5), pages 2499-2531, May.
    4. Li, Mingliang & Tobias, Justin L., 2011. "Bayesian inference in a correlated random coefficients model: Modeling causal effect heterogeneity with an application to heterogeneous returns to schooling," Journal of Econometrics, Elsevier, vol. 162(2), pages 345-361, June.
    5. Solomon W. Polachek, 2017. "Heterogeneity in the Labor Market: Ability and Information Acquisition," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 43(3), pages 377-390, June.
    6. Fossen, Frank M. & Büttner, Tobias J. M., 2012. "The returns to education for opportunity entrepreneurs, necessity entrepreneurs, and paid employees," Discussion Papers 2012/19, Free University Berlin, School of Business & Economics.
    7. Huntington-Klein, Nick, 2015. "Subjective and projected returns to education," Journal of Economic Behavior & Organization, Elsevier, vol. 117(C), pages 10-25.
    8. Ozabaci, Deniz & Henderson, Daniel J., 2014. "Additive Kernel Estimates of Returns to Schooling," IZA Discussion Papers 8736, Institute of Labor Economics (IZA).
    9. Colm Harmon, 2011. "Economic Returns to Education: What We Know, What We Don’t Know, and Where We Are Going – Some Brief Pointers," Working Papers 201115, Geary Institute, University College Dublin.
    10. Daniel J. Henderson & Anne-Charlotte Souto & Le Wang, 2020. "Higher-Order Risk–Returns to Education," JRFM, MDPI, vol. 13(11), pages 1-25, October.
    11. Daniel J. Henderson & Andrew Houtenville & Le Wang, 2017. "The Distribution of Returns to Education for People with Disabilities," Journal of Labor Research, Springer, vol. 38(3), pages 261-282, September.
    12. Henderson, Daniel J. & Polachek, Solomon W. & Wang, Le, 2011. "Heterogeneity in schooling rates of return," Economics of Education Review, Elsevier, vol. 30(6), pages 1202-1214.
    13. Holmes, Chanita C. & Tracey, Marlon R. & Belasen, Ariel R., 2020. "The value of early physical maturity to young adult labor market outcomes," Economics & Human Biology, Elsevier, vol. 37(C).
    14. Wang, Le, 2011. "How Does Education Affect the Earnings Distribution in Urban China?," IZA Discussion Papers 6173, Institute of Labor Economics (IZA).
    15. Balestra, Simone & Backes-Gellner, Uschi, 2017. "Heterogeneous returns to education over the wage distribution: Who profits the most?," Labour Economics, Elsevier, vol. 44(C), pages 89-105.
    16. Mohitosh Kejriwal & Xiaoxiao Li & Evan Totty, 2020. "Multidimensional skills and the returns to schooling: Evidence from an interactive fixed‐effects approach and a linked survey‐administrative data set," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 548-566, August.
    17. Khalid Maman Waziri, 2017. "Generalized Glass Ceilings in the United States – A Stochastic Metafrontier Approach," Working Papers halshs-01569834, HAL.
    18. Zhu, Rong, 2011. "Individual heterogeneity in returns to education in urban China during 1995-2002," Economics Letters, Elsevier, vol. 113(1), pages 84-87, October.
    19. Lehouelleur, Sophie & Beblavý, Miroslav & Maselli,Ilaria, 2015. "How returns from tertiary education differ by field of study: Implications for policy-makers and students," CEPS Papers 10835, Centre for European Policy Studies.
    20. Marcello D'Amato & Christian Di Pietro & Marco M. Sorge, 2023. "Left and Right: A Tale of Two Tails of the Wealth Distribution," CSEF Working Papers 691, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    21. Areendam Chanda & Bibhudutta Panda, 2012. "Unbalanced Productivity Growth in US States: Evidence from Factor Prices," Departmental Working Papers 2012-04, Department of Economics, Louisiana State University.
    22. Henderson, Daniel J. & Souto, Anne-Charlotte, 2018. "An Introduction to Nonparametric Regression for Labor Economists," IZA Discussion Papers 11914, Institute of Labor Economics (IZA).
    23. Gagnon, Julien & Geloso, Vincent & Isabelle, Maripier, 2023. "The incubated revolution: Education, cohort effects, and the linguistic wage gap in Quebec during the 20th century," Journal of Economic Behavior & Organization, Elsevier, vol. 207(C), pages 327-349.
    24. Schwerter, Jakob & Netz, Nicolai & Hübner, Nicolas, 2024. "Does instructional time at school influence study time at university? Evidence from an instructional time reform," Economics of Education Review, Elsevier, vol. 100(C).
    25. Mookherjee, Dilip & Napel, Stefan, 2021. "Welfare rationales for conditionality of cash transfers," Journal of Development Economics, Elsevier, vol. 151(C).
    26. Renee Reichl Luthra & Jennifer Flashman, 2017. "Who Benefits Most from a University Degree?: A Cross-National Comparison of Selection and Wage Returns in the US, UK, and Germany," Research in Higher Education, Springer;Association for Institutional Research, vol. 58(8), pages 843-878, December.
    27. Diana Alessandrini & Joniada Milla, 2024. "Minimum-Wage Effects on Human Capital Accumulation: Evidence from Canadian Data," Journal of Human Capital, University of Chicago Press, vol. 18(2), pages 346-376.
    28. Biewen, Martin & (neé Tapalaga), Madalina Thiele, 2020. "Early tracking, academic vs. vocational training, and the value of ‘second-chance’ options," Labour Economics, Elsevier, vol. 66(C).
    29. Chunbei Wang & Le Wang, 2012. "The effects of 9/11 on intermarriage between natives and immigrants to the U.S," Review of Economics of the Household, Springer, vol. 10(2), pages 171-192, June.
    30. Ghosh, Pallab Kumar, 2014. "The contribution of human capital variables to changes in the wage distribution function," Labour Economics, Elsevier, vol. 28(C), pages 58-69.
    31. Chunbei Wang & Le Wang, 2017. "Knot yet: minimum marriage age law, marriage delay, and earnings," Journal of Population Economics, Springer;European Society for Population Economics, vol. 30(3), pages 771-804, July.
    32. Daniel J. Henderson & Léopold Simar & Le Wang, 2017. "The three s of public schools: irrelevant inputs, insufficient resources and inefficiency," Applied Economics, Taylor & Francis Journals, vol. 49(12), pages 1164-1184, March.
    33. Mohitosh Kejriwal & Xiaoxiao Li & Evan Totty, 2019. "Multidemsional Skills and Returns to Schooling: Evidence from an Interactive Fixed Effects Aproach and a Linked Survey-Administrative Dataset," Purdue University Economics Working Papers 1316, Purdue University, Department of Economics.
    34. Liu, Vivian Y.T. & Belfield, Clive R. & Trimble, Madeline J., 2015. "The medium-term labor market returns to community college awards: Evidence from North Carolina," Economics of Education Review, Elsevier, vol. 44(C), pages 42-55.

  21. Daniel J. Henderson & Christopher F. Parmeter, 2011. "Normal Reference Bandwidths for the General Order, Multivariate Kernel Density Derivative Estimator," Working Papers 2011-15, University of Miami, Department of Economics.

    Cited by:

    1. Salim Bouzebda & Mohamed Chaouch & Sultana Didi Biha, 2022. "Asymptotics for function derivatives estimators based on stationary and ergodic discrete time processes," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 74(4), pages 737-771, August.
    2. Christopher F. Parmeter & Valentin Zelenyuk, 2019. "Combining the Virtues of Stochastic Frontier and Data Envelopment Analysis," Operations Research, INFORMS, vol. 67(6), pages 1628-1658, November.
    3. Silvia Goncalves & Ana María Herrera & Lutz Kilian & Elena Pesavento, 2024. "Nonparametric Local Projections," Working Papers 2414, Federal Reserve Bank of Dallas.
    4. Christopher F. Parmeter & Valentin Zelenyuk, 2016. "A Bridge Too Far? The State of the Art in Combining the Virtues of Stochastic Frontier Analysis and Data Envelopement Analysis," Working Papers 2016-10, University of Miami, Department of Economics.

  22. Oleg Badunenko & Daniel J. Henderson & Subal C. Kumbhakar, 2011. "When, where and how to perform efficiency estimation," Cologne Graduate School Working Paper Series 02-06, Cologne Graduate School in Management, Economics and Social Sciences.

    Cited by:

    1. Oleg Badunenko & Daniel J. Henderson, 2024. "Production analysis with asymmetric noise," Journal of Productivity Analysis, Springer, vol. 61(1), pages 1-18, February.
    2. Maria Rita Pierleoni & Stefano Gori, 2013. "Efficiency analysis postal operators: comparison between the United States and Europe," Chapters, in: Michael A. Crew & Paul R. Kleindorfer (ed.), Reforming the Postal Sector in the Face of Electronic Competition, chapter 18, pages 261-276, Edward Elgar Publishing.
    3. Meryem Duygun & Diego Prior & Mohamed Shaban & Emili Tortosa-Ausina, 2015. "Disentangling the European Airlines efficiency puzzle:A network data envelopment analysis approach," Working Papers 2015/04, Economics Department, Universitat Jaume I, Castellón (Spain).
    4. Mike G. Tsionas, 2017. "“When, Where, and How” of Efficiency Estimation: Improved Procedures for Stochastic Frontier Modeling," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 948-965, July.
    5. Ahn, Heinz & Clermont, Marcel & Langner, Julia, 2023. "Comparative performance analysis of frontier-based efficiency measurement methods – A Monte Carlo simulation," European Journal of Operational Research, Elsevier, vol. 307(1), pages 294-312.
    6. Jun Cai & Qu Feng & William C. Horrace & Guiying Laura Wu, 2021. "Wrong skewness and finite sample correction in the normal-half normal stochastic frontier model," Empirical Economics, Springer, vol. 60(6), pages 2837-2866, June.
    7. Jaime Valles-Gimenez & Anabel Zarate-Marco, 2017. "Tax Effort of Local Governments and its Determinants: The Spanish Case," Annals of Economics and Finance, Society for AEF, vol. 18(2), pages 323-348, November.
    8. Khezrimotlagh, Dariush, 2022. "Simulation designs for production frontiers," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1321-1334.
    9. Valentin Zelenyuk & Valentyn Panchenko, 2023. "Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP022023, School of Economics, University of Queensland, Australia.
    10. Isabel Narbón-Perpiñá & Mª Teresa Balaguer-Coll & Marko Petrovic & Emili Tortosa-Ausina, 2017. "Which estimator to measure local governments’ cost efficiency? An application to Spanish municipalities," Working Papers 2017/06, Economics Department, Universitat Jaume I, Castellón (Spain).
    11. Andor, Mark & Hesse, Frederik, 2012. "The StoNED age: The departure into a new era of efficiency analysis? An MC study comparing StoNED and the "oldies" (SFA and DEA)," CAWM Discussion Papers 60, University of Münster, Münster Center for Economic Policy (MEP).
    12. Delnava, Haleh & Khosravi, Ali & El Haj Assad, Mamdouh, 2023. "Metafrontier frameworks for estimating solar power efficiency in the United States using stochastic nonparametric envelopment of data (StoNED)," Renewable Energy, Elsevier, vol. 213(C), pages 195-204.
    13. Isabel Narbón-Perpiñá & Maria Teresa Balaguer-Coll & Marko Petrović & Emili Tortosa-Ausina, 2020. "Which estimator to measure local governments’ cost efficiency? The case of Spanish municipalities," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 11(1), pages 51-82, March.
    14. Julia Schaefer & Marcel Clermont, 2018. "Stochastic non-smooth envelopment of data for multi-dimensional output," Journal of Productivity Analysis, Springer, vol. 50(3), pages 139-154, December.
    15. Andor, Mark A. & Parmeter, Christopher & Sommer, Stephan, 2018. "Combining uncertainty with uncertainty to get certainty? Efficiency analysis for regulation purposes," Ruhr Economic Papers 770, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    16. Isabel Narbón-Perpiñá & Maria Balaguer-Coll & Emili Tortosa-Ausina, 2019. "Evaluating local government performance in times of crisis," Local Government Studies, Taylor & Francis Journals, vol. 45(1), pages 64-100, January.
    17. Millimet, Daniel L. & Parmeter, Christopher F., 2021. "COVID-19 Severity: A New Approach to Quantifying Global Cases and Deaths," IZA Discussion Papers 14116, Institute of Labor Economics (IZA).
    18. Zeebari, Zangin & Månsson, Kristofer & Sjölander, Pär & Söderberg, Magnus, 2021. "Regularized Conditional Estimators of Unit Inefficiency in Stochastic Frontier Analysis, with Application to Electricity Distribution Market," Ratio Working Papers 345, The Ratio Institute.
    19. Zárate Marco, Anabel & Vallés Giménez, Jaime, 2018. "Regional tax effort in Spain," Economics Discussion Papers 2018-79, Kiel Institute for the World Economy (IfW Kiel).
    20. Aydede, Yigit & Dar, Atul A., 2022. "Native-born-immigrant wage gap revisited: The role of market imperfections in Canada," CLEF Working Paper Series 50, Canadian Labour Economics Forum (CLEF), University of Waterloo.
    21. Oleg Badunenko & Daniel Henderson & R. Russell, 2013. "Polarization of the worldwide distribution of productivity," Journal of Productivity Analysis, Springer, vol. 40(2), pages 153-171, October.
    22. Mark Andor & Christopher Parmeter, 2017. "Pseudolikelihood estimation of the stochastic frontier model," Applied Economics, Taylor & Francis Journals, vol. 49(55), pages 5651-5661, November.
    23. Oleg Badunenko, 2017. "Labor Market Regulations and Growth," Working Papers in Economics & Finance 2017-07, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    24. Papadopoulos, Alecos & Parmeter, Christopher F., 2023. "A specification test for the composed error term in the stochastic frontier model," Economics Letters, Elsevier, vol. 233(C).
    25. Meryem Duygun & Huseyin Ozturk & Mohamed Shaban & Emili Tortosa-Ausina, 2014. "Quo Vadis, raters? A frontier approach to identify misratings in sovereign credit risk," Working Papers 2014/10, Economics Department, Universitat Jaume I, Castellón (Spain).
    26. Duras, Toni & Javed, Farrukh & Månsson, Kristofer & Sjölander, Pär & Söderberg, Magnus, 2023. "Using machine learning to select variables in data envelopment analysis: Simulations and application using electricity distribution data," Energy Economics, Elsevier, vol. 120(C).
    27. Kristiaan Kerstens & Ignace van de Woestyne, 2021. "Cost functions are nonconvex in the outputs when the technology is nonconvex: convexification is not harmless," Post-Print hal-03274911, HAL.
    28. Mark Andor & Frederik Hesse, 2014. "The StoNED age: the departure into a new era of efficiency analysis? A monte carlo comparison of StoNED and the “oldies” (SFA and DEA)," Journal of Productivity Analysis, Springer, vol. 41(1), pages 85-109, February.
    29. Su, Weihua & Chen, Sibo & Zhang, Chonghui & Li, Kevin W., 2023. "A subgroup dominance-based benefit of the doubt method for addressing rank reversals: A case study of the human development index in Europe," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1299-1317.
    30. Papadopoulos, Alecos & Parmeter, Christopher F., 2021. "Type II failure and specification testing in the Stochastic Frontier Model," European Journal of Operational Research, Elsevier, vol. 293(3), pages 990-1001.
    31. Jose M. Cordero & Cristina Polo & Daniel Santín, 2020. "Assessment of new methods for incorporating contextual variables into efficiency measures: a Monte Carlo simulation," Operational Research, Springer, vol. 20(4), pages 2245-2265, December.
    32. Sakouvogui Kekoura & Guilavogui Mama Genevieve, 2022. "How are the United States Banks faring during the COVID-19 Pandemic? Evidence of Economic Efficiency Measures," Open Economics, De Gruyter, vol. 5(1), pages 11-29, January.
    33. Rolf Färe & Shawna Grosskopf & Joaquín Maudos & Emili Tortosa-ausina, 2015. "Revisiting the quiet life hypothesis in banking using nonparametric techniques," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 16(1), pages 159-187, February.
    34. Christopher F. Parmeter & Valentin Zelenyuk, 2019. "Combining the Virtues of Stochastic Frontier and Data Envelopment Analysis," Operations Research, INFORMS, vol. 67(6), pages 1628-1658, November.
    35. Mike Tsionas & Christopher F. Parmeter & Valentin Zelenyuk, 2021. "Bridging the Divide? Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP082021, School of Economics, University of Queensland, Australia.
    36. Daniel J. Henderson & Léopold Simar & Le Wang, 2017. "The three s of public schools: irrelevant inputs, insufficient resources and inefficiency," Applied Economics, Taylor & Francis Journals, vol. 49(12), pages 1164-1184, March.
    37. Sakouvogui Kekoura & Shaik Saleem & Doetkott Curt & Magel Rhonda, 2021. "Sensitivity analysis of stochastic frontier analysis models," Monte Carlo Methods and Applications, De Gruyter, vol. 27(1), pages 71-90, March.
    38. Mª Pilar García-Alcober & Emili Tortosa-Ausina & Diego Prior & Manuel Illueca, 2014. "Cost and revenue efficiency in Spanish banking: What distributions show," Working Papers 2014/12, Economics Department, Universitat Jaume I, Castellón (Spain).
    39. Juan Sesmero & Richard Perrin & Lilyan Fulginiti, 2018. "A nonparametric frontier measure of marketing efficiency: An illustration with corn ethanol plants," Agribusiness, John Wiley & Sons, Ltd., vol. 34(3), pages 579-596, June.
    40. Tochkov, Kiril, 2015. "The efficiency of postal services in the age of market liberalization and the internet: Evidence from Central and Eastern Europe," Utilities Policy, Elsevier, vol. 36(C), pages 35-42.
    41. Maria Nieswand & Stefan Seifert, 2016. "Operational Conditions in Regulatory Benchmarking Models: A Monte Carlo Analysis," Discussion Papers of DIW Berlin 1585, DIW Berlin, German Institute for Economic Research.
    42. Stefan Seifert, 2014. "Effizienzanalysemethoden in der Regulierung deutscher Elektrizitäts- und Gasversorgungsunternehmen," DIW Roundup: Politik im Fokus 40, DIW Berlin, German Institute for Economic Research.
    43. Nieswand, Maria & Seifert, Stefan, 2018. "Environmental factors in frontier estimation – A Monte Carlo analysis," European Journal of Operational Research, Elsevier, vol. 265(1), pages 133-148.
    44. Christopher F. Parmeter & Valentin Zelenyuk, 2016. "A Bridge Too Far? The State of the Art in Combining the Virtues of Stochastic Frontier Analysis and Data Envelopement Analysis," Working Papers 2016-10, University of Miami, Department of Economics.
    45. Omneya Abdelsalam & Sabur Mollah & Emili Tortosa-Ausina, 2018. "Political connection and bank in(efficiency)," Working Papers 2018-11, Swansea University, School of Management.
    46. Jradi, Samah & Parmeter, Christopher F. & Ruggiero, John, 2021. "Quantile estimation of stochastic frontiers with the normal-exponential specification," European Journal of Operational Research, Elsevier, vol. 295(2), pages 475-483.

  23. Eren, Ozkan & Henderson, Daniel J., 2011. "Are We Wasting Our Children's Time by Giving Them More Homework?," IZA Discussion Papers 5547, Institute of Labor Economics (IZA).

    Cited by:

    1. Niaz Asadullah & Alain Trannoy & Sandy Tubeuf & Gaston Yalonetzky, 2018. "Fair and unfair educational inequality in a developing country: The role of pupil’s effort," Working Papers 474, ECINEQ, Society for the Study of Economic Inequality.
    2. Asadullah, M. Niaz & Trannoy, Alain & Tubeuf, Sandy & Yalonetzky, Gaston, 2021. "Measuring educational inequality of opportunity: pupil’s effort matters," World Development, Elsevier, vol. 138(C).
    3. Carlos Cortinhas, 2017. "Does formative feedback help or hinder students? An empirical investigation," Discussion Papers 1701, University of Exeter, Department of Economics.
    4. Xin Ma & Xingkai Luo, 2024. "Effects of Study Load on Science Achievement: Searching for a Turning Point with Multilevel Piecewise Regression," Evaluation Review, , vol. 48(5), pages 918-944, October.
    5. Caetano, Carolina & Caetano, Gregorio & Nielsen, Eric, 2024. "Are children spending too much time on enrichment activities?," Economics of Education Review, Elsevier, vol. 98(C).
    6. Fulya Ersoy, 2021. "Returns to effort: experimental evidence from an online language platform," Natural Field Experiments 00756, The Field Experiments Website.
    7. Kuehn, Zoe & Landeras, Pedro, 2012. "Study Time and Scholarly Achievement in PISA," MPRA Paper 49033, University Library of Munich, Germany.
    8. Torberg Falch & Marte Rønning, 2011. "Homework assignment and student achievement in OECD countries," Working Paper Series 11411, Department of Economics, Norwegian University of Science and Technology.
    9. Debra Shepherd, 2015. "Learn to teach, teach to learn: A within-pupil across-subject approach to estimating the impact of teacher subject knowledge on South African grade 6 performance," Working Papers 01/2015, Stellenbosch University, Department of Economics.
    10. Zöe Kuehn & Pedro Landeras, 2010. "The Effect of Family Background on Student Effort," Working Papers 2010-31, FEDEA.
    11. Robert Kaestner & Cuiping Schiman & Jason M. Ward, 2020. "Education and Health Over the Life Cycle," NBER Working Papers 26836, National Bureau of Economic Research, Inc.
    12. Pabilonia, Sabrina Wulff, 2015. "Children's Media Use and Homework Time," IZA Discussion Papers 9126, Institute of Labor Economics (IZA).
    13. Eleonora Matteazzi & Martina Menon & Federico Perali, 2021. "Do Boys and Girls Perform Better at Math Just Studying More ?," CHILD Working Papers Series 96 JEL Classification: I2, Centre for Household, Income, Labour and Demographic Economics (CHILD) - CCA.

  24. Romain Houssa & Oleg Badunenko & Daniel J. Henderson, 2010. "Explaining African Growth Performance: A Production-Frontier Approach," Working Papers 1013, University of Namur, Department of Economics.

    Cited by:

    1. Alexandre Repkine, 2014. "Ethnic Diversity, Political Stability and Productive Efficiency: Empirical Evidence from the African Countries," South African Journal of Economics, Economic Society of South Africa, vol. 82(3), pages 315-333, September.
    2. Danquah, Michael, 2018. "Technology transfer, adoption of technology and the efficiency of nations: Empirical evidence from sub Saharan Africa," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 175-182.
    3. Shahram Amini & Michele Battisti & Christopher F. Parmeter, 2011. "Decomposing The Conditional Variance of Cross-Country Output," Working Papers 2011-18, University of Miami, Department of Economics.

  25. Sun, Kai & Henderson, Daniel J. & Kumbhakar, Subal C., 2010. "Biases in approximating log production," MPRA Paper 27527, University Library of Munich, Germany.

    Cited by:

    1. Oleg Badunenko & Daniel J. Henderson, 2024. "Production analysis with asymmetric noise," Journal of Productivity Analysis, Springer, vol. 61(1), pages 1-18, February.
    2. Ruben Dewitte & Michel Dumont & Bruno Merlevede & Glenn Rayp & Marijn Verschelde, 2020. "Firm-Heterogeneous Biased Technological Change: A nonparametric approach under endogeneity," Post-Print hal-03001787, HAL.
    3. J. M. C. Santos Silva & Silvana Tenreyro, 2022. "The Log of Gravity at 15," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 21(3), pages 423-437, September.
    4. Koen Jochmans & Vincenzo Verardi, 2022. "Instrumental-Variable Estimation Of Exponential Regression Models With Two-Way Fixed Effects With An Application To Gravity Equations," Post-Print hal-03818773, HAL.
    5. Prehn, Sören & Brümmer, Bernhard, 2011. "Estimation issues in disaggregate gravity trade models," DARE Discussion Papers 1107, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    6. Henningsen, Arne & Henningsen, Géraldine, 2012. "On estimation of the CES production function—Revisited," Economics Letters, Elsevier, vol. 115(1), pages 67-69.
    7. Manuel A. Domínguez & Ignacio N. Lobato, 2020. "Specification testing with estimated variables," Econometric Reviews, Taylor & Francis Journals, vol. 39(5), pages 476-494, May.
    8. María Pía Olivero & Yoto V. Yotov, 2012. "Dynamic gravity: endogenous country size and asset accumulation," Canadian Journal of Economics, Canadian Economics Association, vol. 45(1), pages 64-92, February.
    9. Sam Jones, 2020. "Testing the Technology of Human Capital Production: A General‐to‐Restricted Framework," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(6), pages 1429-1455, December.
    10. T.V.S.Ramamohan Rao, 2011. "Contemporary Relevance and Ongoing Controversies Related to the CES Production Function," Journal of Quantitative Economics, The Indian Econometric Society, vol. 9(2), pages 36-57, July.

  26. Daniel J. Henderson & Christopher F. Parmeter, 2010. "Canonical Higher-Order Kernels for Density Derivative Estimation," Working Papers 2011-14, University of Miami, Department of Economics.

    Cited by:

    1. Kairat Mynbaev & Carlos Martins-Filho & Aziza Aipenova, 2016. "A Class of Nonparametric Density Derivative Estimators Based on Global Lipschitz Conditions," Advances in Econometrics, in: Essays in Honor of Aman Ullah, volume 36, pages 591-615, Emerald Group Publishing Limited.
    2. Daniel J. Henderson & Christopher F. Parmeter, 2011. "Normal Reference Bandwidths for the General Order, Multivariate Kernel Density Derivative Estimator," Working Papers 2011-15, University of Miami, Department of Economics.
    3. Salim Bouzebda & Mohamed Chaouch & Sultana Didi Biha, 2022. "Asymptotics for function derivatives estimators based on stationary and ergodic discrete time processes," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 74(4), pages 737-771, August.

  27. Henderson, Daniel J. & Parmeter, Christopher F., 2009. "Imposing Economic Constraints in Nonparametric Regression: Survey, Implementation and Extension," IZA Discussion Papers 4103, Institute of Labor Economics (IZA).

    Cited by:

    1. Jun Ma & Vadim Marmer & Artyom Shneyerov & Pai Xu, 2019. "Monotonicity-Constrained Nonparametric Estimation and Inference for First-Price Auctions," Papers 1909.12974, arXiv.org.
    2. Michaelides, Panayotis G. & Tsionas, Efthymios G. & Vouldis, Angelos T. & Konstantakis, Konstantinos N., 2015. "Global approximation to arbitrary cost functions: A Bayesian approach with application to US banking," European Journal of Operational Research, Elsevier, vol. 241(1), pages 148-160.
    3. Don Harding, 2010. "Applying shape and phase restrictions in generalized dynamic categorical models of the business cycle," Working Papers 2010.05, School of Economics, La Trobe University.
    4. Zheng Li & Guannan Liu & Qi Li, 2017. "Nonparametric Knn estimation with monotone constraints," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 988-1006, October.
    5. Henderson, Daniel J. & List, John A. & Millimet, Daniel L. & Parmeter, Christopher F. & Price, Michael K., 2012. "Empirical implementation of nonparametric first-price auction models," Journal of Econometrics, Elsevier, vol. 168(1), pages 17-28.
    6. Yu Zhang & Jingping Gu & Qi Li, 2011. "Nonparametric panel estimation of online auction price processes," Empirical Economics, Springer, vol. 40(1), pages 51-68, February.
    7. Wenchuan Liu & Yu Zhang & Qi Li, 2015. "A semiparametric varying coefficient model of monotone auction bidding processes," Empirical Economics, Springer, vol. 48(1), pages 313-335, February.
    8. Valero-Carreras, Daniel & Aparicio, Juan & Guerrero, Nadia M., 2021. "Support vector frontiers: A new approach for estimating production functions through support vector machines," Omega, Elsevier, vol. 104(C).
    9. Lee, Tae-Hwy & Tu, Yundong & Ullah, Aman, 2014. "Nonparametric and semiparametric regressions subject to monotonicity constraints: Estimation and forecasting," Journal of Econometrics, Elsevier, vol. 182(1), pages 196-210.
    10. Tsionas, Euthimios G. & Mamatzakis, Emmanuel C., 2017. "Adjustment costs in the technical efficiency: An application to global banking," European Journal of Operational Research, Elsevier, vol. 256(2), pages 640-649.
    11. Olesen, O.B. & Ruggiero, J., 2022. "The hinging hyperplanes: An alternative nonparametric representation of a production function," European Journal of Operational Research, Elsevier, vol. 296(1), pages 254-266.
    12. Artem Prokhorov & Kien C. Tran & Mike G. Tsionas, 2021. "Estimation of semi- and nonparametric stochastic frontier models with endogenous regressors," Empirical Economics, Springer, vol. 60(6), pages 3043-3068, June.
    13. Wolters, Mark A., 2012. "A particle swarm algorithm with broad applicability in shape-constrained estimation," Computational Statistics & Data Analysis, Elsevier, vol. 56(10), pages 2965-2975.
    14. Stefan Seifert, 2016. "Semi-Parametric Measures of Scale Characteristics of German Natural Gas-Fired Electricity Generation," Discussion Papers of DIW Berlin 1571, DIW Berlin, German Institute for Economic Research.
    15. Olesen, O.B. & Ruggiero, J., 2018. "An improved Afriat–Diewert–Parkan nonparametric production function estimator," European Journal of Operational Research, Elsevier, vol. 264(3), pages 1172-1188.
    16. Esteve, Miriam & Aparicio, Juan & Rodriguez-Sala, Jesus J. & Zhu, Joe, 2023. "Random Forests and the measurement of super-efficiency in the context of Free Disposal Hull," European Journal of Operational Research, Elsevier, vol. 304(2), pages 729-744.
    17. Christopher Parmeter & Kai Sun & Daniel Henderson & Subal Kumbhakar, 2014. "Estimation and inference under economic restrictions," Journal of Productivity Analysis, Springer, vol. 41(1), pages 111-129, February.

  28. Henderson, Daniel J. & Papageorgiou, Chris & Parmeter, Christopher F., 2008. "Are any growth theories linear? Why we should care about what the evidence tells us," MPRA Paper 8767, University Library of Munich, Germany.

    Cited by:

    1. Aurangzeb Zeb & Thanasis Stengos, 2013. "The Role of Foreign Direct Investment (FDI) in a Dualistic Growth Framework: An Application of Smooth Coefficient Semi-parametric Approach," Working Paper series 55_13, Rimini Centre for Economic Analysis.
    2. Rodríguez, Francisco & Shelton, Cameron A., 2013. "Cleaning up the kitchen sink: Specification tests and average derivative estimators for growth econometrics," Journal of Macroeconomics, Elsevier, vol. 38(PB), pages 260-273.
    3. Thanasis Stengos & Costantina Kottaridi, 2008. "Foreign Direct Investment, Human Capital And Nonlinearities In Economic Growth," Working Paper series 20_08, Rimini Centre for Economic Analysis.
    4. Libman, Alexander, 2008. "Democracy and growth: is the effect non-linear?," MPRA Paper 17795, University Library of Munich, Germany.

  29. Henderson, Daniel J., 2008. "A Nonparametric Examination of Capital-Skill Complementarity," IZA Discussion Papers 3865, Institute of Labor Economics (IZA).

    Cited by:

    1. Battisti, Michele & Gatto, Massimo Del & Parmeter, Christopher F., 2022. "Skill-biased technical change and labor market inefficiency," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    2. Wang, Le, 2012. "Estimating Returns to Education when the IV Sample is Selective," IZA Discussion Papers 7103, Institute of Labor Economics (IZA).
    3. Chris Papageorgiou & Marianne Saam, 2008. "Two‐level CES Production Technology in the Solow and Diamond Growth Models," Scandinavian Journal of Economics, Wiley Blackwell, vol. 110(1), pages 119-143, March.
    4. M. Battisti & M. Del Gatto & A. F. Gravina & C. F. Parmeter, 2021. "Robots versus labor skills: a complementarity/substitutability analysis," Working Paper CRENoS 202104, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    5. Jakub Growiec & Anna Pajor & Dorota Pelle & Artur Prędki, 2011. "The shape of aggregate production functions: evidence from estimates of the World Technology Frontier," NBP Working Papers 102, Narodowy Bank Polski.
    6. Andri Chassamboulli & Theodore Palivos, 2013. "The impact of immigration on the employment and wages of native workers," Working Papers 160, Bank of Greece.
    7. Battisti, Michele & Gravina, Antonio Francesco, 2021. "Do robots complement or substitute for older workers?," Economics Letters, Elsevier, vol. 208(C).
    8. Kai Sun, 2015. "Constrained nonparametric estimation of input distance function," Journal of Productivity Analysis, Springer, vol. 43(1), pages 85-97, February.
    9. Xue, Jianpo & Yip, Chong K., 2013. "Aggregate elasticity of substitution and economic growth: A synthesis," Journal of Macroeconomics, Elsevier, vol. 38(PA), pages 60-75.
    10. Mallick, Debdulal, 2012. "The role of the elasticity of substitution in economic growth: A cross-country investigation," Labour Economics, Elsevier, vol. 19(5), pages 682-694.

  30. Henderson, Daniel J. & List, John A. & Millimet, Daniel L. & Parmeter, Christopher F. & Price, Michael K., 2008. "Imposing Monotonicity Nonparametrically in First-Price Auctions," MPRA Paper 8769, University Library of Munich, Germany.

    Cited by:

    1. Henderson, Daniel J. & Parmeter, Christopher F., 2009. "Imposing Economic Constraints in Nonparametric Regression: Survey, Implementation and Extension," IZA Discussion Papers 4103, Institute of Labor Economics (IZA).
    2. Pietro Ortoleva & Erik Snowberg, 2013. "Overconfidence in Political Behavior," NBER Working Papers 19250, National Bureau of Economic Research, Inc.
    3. Canale, Antonio & Vantini, Simone, 2016. "Constrained functional time series: Applications to the Italian gas market," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1340-1351.

  31. Henderson, Daniel J., 2008. "A Test for Multimodality of Regression Derivatives with an Application to Nonparametric Growth Regressions," MPRA Paper 8768, University Library of Munich, Germany.

    Cited by:

    1. Naima Chrid & Sami Saafi & Mohamed Chakroun, 2021. "Export Upgrading and Economic Growth: a Panel Cointegration and Causality Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(2), pages 811-841, June.
    2. Haupt, Harry & Meier, Verena, 2016. "Dealing with heterogeneity, nonlinearity and club misclassification in growth convergence: A nonparametric two-step approach," Center for Mathematical Economics Working Papers 455, Center for Mathematical Economics, Bielefeld University.
    3. Michael S. Delgado & Daniel J. Henderson & Christopher F. Parmeter, 2014. "Does Education Matter for Economic Growth?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(3), pages 334-359, June.
    4. Mohamed Chakroun & Naima Chrid & Sami Saafi, 2021. "Does export upgrading really matter to economic growth? Evidence from panel data for high‐, middle‐ and low‐income countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5584-5609, October.
    5. Agiropoulos, Charalampos & Karkalakos, Sotiris & Polemis, Michael, 2019. "Revisiting the finance-growth nexus: A socioeconomic approach," MPRA Paper 95209, University Library of Munich, Germany.
    6. Valentin Zelenyuk & Leopold Simar, 2011. "To Smooth or Not to Smooth? The Case of Discrete Variables in Nonparametric Regressions," CEPA Working Papers Series WP102011, School of Economics, University of Queensland, Australia.
    7. Henderson, Daniel J. & Maasoumi, Esfandiar, 2012. "Searching for Rehabilitation in Nonparametric Regression Models with Exogenous Treatment Assignment," IZA Discussion Papers 6874, Institute of Labor Economics (IZA).
    8. Li, Degui & Simar, Leopold & Zelenyuk, Valentin, 2016. "Generalized nonparametric smoothing with mixed discrete and continuous data," LIDAM Reprints ISBA 2016020, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    9. Thomas Triebs & Subal C. Kumbhakar, 2012. "Management Practice in Production," ifo Working Paper Series 129, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    10. Saafi Sami & Nouira Ridha, 2018. "Re-Examining the Relationship Between Export Upgrading and Economic Growth: Is there a Threshold Effect?," The Economic and Social Review, Economic and Social Studies, vol. 49(4), pages 437-454.
    11. Haupt, Harry & Schnurbus, Joachim & Semmler, Willi, 2018. "Estimation of grouped, time-varying convergence in economic growth," Econometrics and Statistics, Elsevier, vol. 8(C), pages 141-158.
    12. Cohen-Cole, Ethan B. & Durlauf, Steven N. & Rondina, Giacomo, 2012. "Nonlinearities in growth: From evidence to policy," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 42-58.
    13. Roman Matousek & Nickolaos G. Tzeremes, 2021. "The asymmetric impact of human capital on economic growth," Empirical Economics, Springer, vol. 60(3), pages 1309-1334, March.
    14. Neumann, Uwe, 2020. "Lebenslanges Lernen als Standortfaktor? Weiterbildungschancen im Vergleich der deutschen Bundesländer," RWI Materialien 138, RWI - Leibniz-Institut für Wirtschaftsforschung.

  32. Oleg Badunenko & Daniel J. Henderson & Valentin Zelenyuk, 2007. "Technological Change and Transition: Relative Contributions to Worldwide Growth during the 1990s," Discussion Papers of DIW Berlin 740, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Valentin Zelenyuk, 2023. "Productivity analysis: roots, foundations, trends and perspectives," Journal of Productivity Analysis, Springer, vol. 60(3), pages 229-247, December.
    2. Olivier Blanchard & Michael Kremer, 1997. "Disorganization," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(4), pages 1091-1126.
    3. Simar, Léopold & Zelenyuk, Valentin & Zhao, Shirong, 2024. "Inference for aggregate efficiency: Theory and guidelines for practitioners," LIDAM Reprints ISBA 2024012, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    4. Jens J. Krüger, 2020. "Long‐run productivity trends: A global update with a global index," Review of Development Economics, Wiley Blackwell, vol. 24(4), pages 1393-1412, November.
    5. Walheer, Barnabé, 2016. "Growth and convergence of the OECD countries: A multi-sector production-frontier approach," European Journal of Operational Research, Elsevier, vol. 252(2), pages 665-675.
    6. Oleg Badunenko & Daniel Henderson & Romain Houssa, 2014. "Significant drivers of growth in Africa," Journal of Productivity Analysis, Springer, vol. 42(3), pages 339-354, December.
    7. Hu, Rong & Huang, Mengyuan & Zhang, Junfeng & Witlox, Frank, 2023. "On the Matthew effect in a multi-airport system: Evidence from the viewpoint of airport green efficiency," Journal of Air Transport Management, Elsevier, vol. 106(C).
    8. Kerekes, Monika, 2007. "Analyzing patterns of economic growth: a production frontier approach," Discussion Papers 2007/15, Free University Berlin, School of Business & Economics.
    9. Claudia Curi & Paolo Guarda & Valentin Zelenyuk, 2011. "Changes in bank specialisation: comparing foreign subsidiaries and branches in Luxembourg," BCL working papers 67, Central Bank of Luxembourg.
    10. Klishchuk Bogdan & Zelenyuk Valentin, 2012. "Impact of Services LIberalization on Firm Level Productivity in Eastern Europe and Central Asia," EERC Working Paper Series 12/03e, EERC Research Network, Russia and CIS.
    11. Jens J. Krüger, 2016. "Radar scanning the world production frontier," Journal of Productivity Analysis, Springer, vol. 46(1), pages 1-13, August.
    12. Leopold Simar & Ingrid Van Keilegom & Valentin Zelenyuk, 2014. "Nonparametric Least Squares Methods for Stochastic Frontier Models," CEPA Working Papers Series WP032014, School of Economics, University of Queensland, Australia.
    13. Andrea Filippetti & Antonio Peyrache, 2013. "Is the Convergence Party Over? Labour Productivity and the Technology Gap in Europe," Journal of Common Market Studies, Wiley Blackwell, vol. 51(6), pages 1006-1022, November.
    14. Nickolaos G. Tzeremes, 2019. "Technological change, technological catch-up and export orientation: evidence from Latin American Countries," Journal of Productivity Analysis, Springer, vol. 52(1), pages 85-100, December.
    15. Jakub Growiec & Anna Pajor & Dorota Pelle & Artur Prędki, 2011. "The shape of aggregate production functions: evidence from estimates of the World Technology Frontier," NBP Working Papers 102, Narodowy Bank Polski.
    16. Barnabé Walheer, 2016. "Multi-Sector Nonparametric Production-Frontier Analysis of the Economic Growth and the Convergence of the European Countries," Pacific Economic Review, Wiley Blackwell, vol. 21(4), pages 498-524, October.
    17. Konstantinos Chatzimichael & Vangelis Tzouvelekas, 2014. "Human capital contributions to explain productivity differences," Journal of Productivity Analysis, Springer, vol. 41(3), pages 399-417, June.
    18. Valentin Zelenyuk & Leopold Simar, 2011. "To Smooth or Not to Smooth? The Case of Discrete Variables in Nonparametric Regressions," CEPA Working Papers Series WP102011, School of Economics, University of Queensland, Australia.
    19. Walheer, Barnabé, 2018. "Labour productivity growth and energy in Europe: A production-frontier approach," Energy, Elsevier, vol. 152(C), pages 129-143.
    20. Valentin Zelenyuk, 2010. "Aggregation of Economic Growth Rates and of its Sources," CEPA Working Papers Series WP032010, School of Economics, University of Queensland, Australia.
    21. Allen, Robert C., 2012. "Technology and the great divergence: Global economic development since 1820," Explorations in Economic History, Elsevier, vol. 49(1), pages 1-16.
    22. Glass, Anthony J. & Kenjegalieva, Karligash & Ajayi, Victor & Adetutu, Morakinyo & Sickles, Robin C., 2016. "Relative Winners and Losers from Efficiency Spillovers in Africa with Policy Implications for Regional Integration," Working Papers 16-003, Rice University, Department of Economics.
    23. Oleg Badunenko & Daniel J. Henderson & Valentin Zelenyuk, 2017. "The Productivity of Nations," Working Papers in Economics & Finance 2017-05, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    24. Khaled Elmawazini & Elias G. Saleeby & Ahmed Ibn el Farouk & Bashayer AL-Naser, 2018. "Tripartite decomposition of labor productivity growth, FDI and human development: evidence from transition economies," Economic Change and Restructuring, Springer, vol. 51(2), pages 153-171, May.
    25. Andreas Eder & Wolfgang Koller & Bernhard Mahlberg, 2024. "The contribution of industrial robots to labor productivity growth and economic convergence: a production frontier approach," Journal of Productivity Analysis, Springer, vol. 61(2), pages 157-181, April.
    26. Jakub GROWIEC, 2010. "On the Measurement of Technological Progress Across Countries," EcoMod2010 259600066, EcoMod.
    27. Li, Degui & Simar, Leopold & Zelenyuk, Valentin, 2016. "Generalized nonparametric smoothing with mixed discrete and continuous data," LIDAM Reprints ISBA 2016020, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    28. Claudia Curi, 2016. "Subsidiary vs. Branch Banks: Are Their Balance Sheet Compositions Converging?," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 6(4), pages 234-250, October.
    29. Oleg Badunenko & Daniel Henderson & R. Russell, 2013. "Polarization of the worldwide distribution of productivity," Journal of Productivity Analysis, Springer, vol. 40(2), pages 153-171, October.
    30. Valentin Zelenyuk, 2014. "Testing Significance of Contributions in Growth Accounting, with Application to Testing ICT Impact on Labor Productivity of Developed Countries," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 13(2), pages 115-126, December.
    31. Diego Romero-Ávila, 2013. "Is Physical Investment The Key To China'S Growth Miracle?," Economic Inquiry, Western Economic Association International, vol. 51(4), pages 1948-1971, October.
    32. Valentin Zelenyuk & Shirong Zhao, 2023. "Further Improvements of Finite Sample Approximation of Central Limit Theorems for Weighted and Unweighted Malmquist Productivity Indices," CEPA Working Papers Series WP042023, School of Economics, University of Queensland, Australia.
    33. Kelly D.T.Trinh & Valentin Zelenyuk, 2015. "Productivity Growth and Convergence: Revisiting Kumar and Russell (2002)," CEPA Working Papers Series WP112015, School of Economics, University of Queensland, Australia.
    34. Robert Allen & Robert C. Allen, 2011. "Technology and the Great Divergence," Economics Series Working Papers 548, University of Oxford, Department of Economics.
    35. Nicky Rogge, 2019. "Regional productivity growth in the EU since 2000: something is better than nothing," Empirical Economics, Springer, vol. 56(2), pages 423-444, February.
    36. Morakinyo Adetutu & Anthony Glass & Karligash Kenjegalieva & Robin Sickles, 2015. "The effects of efficiency and TFP growth on pollution in Europe: a multistage spatial analysis," Journal of Productivity Analysis, Springer, vol. 43(3), pages 307-326, June.
    37. Francesco Aiello & Camilla Mastromarco & Angelo Zago, 2011. "Be productive or face decline. On the sources and determinants of output growth in Italian manufacturing firms," Empirical Economics, Springer, vol. 41(3), pages 787-815, December.
    38. Anthony J. Glass & Karligash Kenjegalieva & Robin Sickles, 2012. "The Effects of Efficiency and TFP Growth on Nitrogen and Sulphur Emissions in Europe: A Multistage Spatial Analysis," Discussion Paper Series 2012_11, Department of Economics, Loughborough University, revised Oct 2012.
    39. Simone Gitto & Paolo Mancuso, 2015. "The contribution of physical and human capital accumulation to Italian regional growth: a nonparametric perspective," Journal of Productivity Analysis, Springer, vol. 43(1), pages 1-12, February.
    40. Michael Danquah & Enrique Moral-Benito & Bazoumana Ouattara, 2014. "TFP growth and its determinants: a model averaging approach," Empirical Economics, Springer, vol. 47(1), pages 227-251, August.
    41. Jakub Growiec, 2012. "The World Technology Frontier: What Can We Learn from the US States?-super-," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(6), pages 777-807, December.
    42. Wang, Chunhua, 2013. "Changing energy intensity of economies in the world and its decomposition," Energy Economics, Elsevier, vol. 40(C), pages 637-644.

  33. Millimet, Daniel & Henderson, Daniel, 2006. "Is Gravity Linear?," Departmental Working Papers 0517, Southern Methodist University, Department of Economics.

    Cited by:

    1. KOCH, Wilfried & ERTUR, Cem & BEHRENS, Kristian, 2007. "Dual gravity : Using spatial econometrics to control for multilateral resistance," LEG - Document de travail - Economie 2007-03, LEG, Laboratoire d'Economie et de Gestion, CNRS, Université de Bourgogne.
    2. Gabriel J. Felbermayr & Benjamin Jung & Farid Toubal, 2010. "Ethnic Networks, Information, and International Trade: Revisiting the Evidence," Annals of Economics and Statistics, GENES, issue 97-98, pages 41-70.
    3. 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.
    4. Agnosteva, Delina E. & Anderson, James E. & Yotov, Yoto V., 2019. "Intra-national trade costs: Assaying regional frictions," European Economic Review, Elsevier, vol. 112(C), pages 32-50.
    5. Timo Mitze, 2010. "Estimating Gravity Models of International Trade with Correlated Time-Fixed Regressors: To IV or not IV?," EERI Research Paper Series EERI_RP_2010_22, Economics and Econometrics Research Institute (EERI), Brussels.
    6. Gallego, Nuria & Llano, Carlos, 2014. "The Border Effect and the Non-Linear Relationship between Trade and Distance," Working Papers in Economic Theory 2014/06, Universidad Autónoma de Madrid (Spain), Department of Economic Analysis (Economic Theory and Economic History).
    7. Mahmut Yasar & David Lisner & Roderick Rejesus, 2012. "Bilateral trade impacts of temporary foreign visitor policy," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 148(3), pages 501-521, September.
    8. Roy, Jayjit, 2017. "On the environmental consequences of intra-industry trade," Journal of Environmental Economics and Management, Elsevier, vol. 83(C), pages 50-67.
    9. Mitze, Timo & Alecke, Björn & Untiedt, Gerhard, 2009. "Trade-FDI Linkages in a System of Gravity Equations for German Regional Data," Ruhr Economic Papers 84, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    10. Baier, Scott L. & Bergstrand, Jeffrey H., 2009. "Estimating the effects of free trade agreements on international trade flows using matching econometrics," Journal of International Economics, Elsevier, vol. 77(1), pages 63-76, February.
    11. Xuepeng Liu, 2009. "GATT/WTO Promotes Trade Strongly: Sample Selection and Model Specification," Review of International Economics, Wiley Blackwell, vol. 17(3), pages 428-446, August.
    12. Estrella Gómez Herrera, 2010. "Comparing alternative methods to estimate gravity models of bilateral trade," ThE Papers 10/05, Department of Economic Theory and Economic History of the University of Granada..
    13. Felbermayr, Gabriel & Gröschl, Jasmin, 2013. "Natural disasters and the effect of trade on income: A new panel IV approach," Munich Reprints in Economics 20590, University of Munich, Department of Economics.
    14. Hakan Yilmazkuday, 2014. "Mismeasurement of Distance Effects: The Role of Internal Location of Production," Review of International Economics, Wiley Blackwell, vol. 22(5), pages 992-1015, November.
    15. Jayjit Roy, 2010. "Do Customs Union Members Engage in More Bilateral Trade than Free‐Trade Agreement Members?," Review of International Economics, Wiley Blackwell, vol. 18(4), pages 663-681, September.
    16. Tamaş Anca, 2020. "Why should the gravity model be taught in business education?," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 14(1), pages 422-433, July.
    17. Kellenberg, Derek, 2012. "Trading wastes," Journal of Environmental Economics and Management, Elsevier, vol. 64(1), pages 68-87.
    18. Hakan Yilmazkuday, 2011. "Understanding Interstate Trade Patterns," Working Papers 1104, Florida International University, Department of Economics.
    19. Pérez García Francisco & Tortosa-Ausina Emili & Arribas Fernández Iván, 2009. "The Determinants of International Financial Integration Revisited: The Role of Networks and Geographic Neutrality," Working Papers 201049, Fundacion BBVA / BBVA Foundation.
    20. Rosa Bernardini Papalia & Silvia Bertarelli, 2015. "Trade Costs in Bilateral Trade Flows: Heterogeneity and Zeroes in Structural Gravity Models," The World Economy, Wiley Blackwell, vol. 38(11), pages 1744-1762, November.
    21. Bernhard Herz & Marco Wagner, 2010. "Multilateralism versus Regionalism!?," Working Papers 089, Bavarian Graduate Program in Economics (BGPE).
    22. Shikha Gupta & Nand Kumar, 2021. "Three decades of narrow globalization: Evaluating India's exports between 1991 and 2017," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(2), pages 343-359, March.
    23. Jasmin Katrin Gröschl, 2013. "Gravity Model Applications and Macroeconomic Perspectives," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 48.
    24. Lahaye, Jerome & Shaw, Philip, 2014. "Can we reject linearity in an HAR-RV model for the S&P 500? Insights from a nonparametric HAR-RV," Economics Letters, Elsevier, vol. 125(1), pages 43-46.
    25. Bernhard Herz & Marco Wagner, 2011. "The Dark Side of the Generalized System of Preferences," Review of International Economics, Wiley Blackwell, vol. 19(4), pages 763-775, September.
    26. Colin Jareb & Sergey K. Nigai, 2020. "Gravity Models and the Law of Large Numbers," CESifo Working Paper Series 8548, CESifo.
    27. Yilmazkuday, Hakan, 2009. "Is the Armington Elasticity Really Constant across Importers?," MPRA Paper 15954, University Library of Munich, Germany.
    28. Hu, Yushan & Zhang, Penglong, 2021. "Semiparametric estimation of varying trade elasticities in gravity," Economics Letters, Elsevier, vol. 209(C).
    29. Ayaz Zeynalov, 2017. "The gravity of institutions in a resource-rich country: the case of Azerbaijan," International Economics and Economic Policy, Springer, vol. 14(2), pages 239-261, April.
    30. Jayjit Roy, 2010. "On the Robustness of the Trade-Inducing Effects of Trade Agreements and Currency Unions," Working Papers 10-09, Department of Economics, Appalachian State University.
    31. Egger, Peter H. & Nigai, Sergey, 2015. "Structural gravity with dummies only: Constrained ANOVA-type estimation of gravity models," Journal of International Economics, Elsevier, vol. 97(1), pages 86-99.
    32. Agnosteva, Delina E. & Anderson, James E. & Yotov, Yoto, 2014. "Intra‐national Trade Costs: Measurement and Aggregation," School of Economics Working Paper Series 2014-2, LeBow College of Business, Drexel University.
    33. Peter H. Egger & Katharina Erhardt, 2024. "Heterogeneous effects of tariff and nontariff trade‐policy barriers in quantitative general equilibrium," Quantitative Economics, Econometric Society, vol. 15(2), pages 453-487, May.
    34. P. Chintrakarn, 2013. "Subnational trade flows and state-level energy intensity: an empirical analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 20(14), pages 1344-1351, September.
    35. Bas Straathof, 2008. "Gravity with gravitas: comment," CPB Discussion Paper 111, CPB Netherlands Bureau for Economic Policy Analysis.
    36. Rishav Bista, 2017. "Revisiting the Olympic Effect," Review of International Economics, Wiley Blackwell, vol. 25(2), pages 279-291, May.
    37. Blank, Sven & Egger, Peter H., 2021. "Melting constants in trade gravity’s rainbow," Economics Letters, Elsevier, vol. 201(C).
    38. Timothy P. Hubbard, 2014. "Trade and transboundary pollution: quantifying the effects of trade liberalization on CO 2 emissions," Applied Economics, Taylor & Francis Journals, vol. 46(5), pages 483-502, February.
    39. Herz Bernhard & Wagner Marco, 2011. "Regionalism as a Building Block for Multilateralism," Global Economy Journal, De Gruyter, vol. 11(1), pages 1-25, March.
    40. McAusland, Carol & Millimet, Daniel L., 2013. "Do national borders matter? Intranational trade, international trade, and the environment," Journal of Environmental Economics and Management, Elsevier, vol. 65(3), pages 411-437.
    41. Eaton, Derek J.F., 2009. "Trade and Intellectual Property Rights in the Agricultural Seed Sector," 2009 Conference, August 16-22, 2009, Beijing, China 51782, International Association of Agricultural Economists.
    42. Tomasz Brodzicki & Stanislaw Uminski, 2013. "International trade relations of enterprises established in Poland's regions: gravity model panel estimation," Working Papers 1301, Instytut Rozwoju, Institute for Development.
    43. Christopher Parmeter & Kai Sun & Daniel Henderson & Subal Kumbhakar, 2014. "Estimation and inference under economic restrictions," Journal of Productivity Analysis, Springer, vol. 41(1), pages 111-129, February.
    44. Chintrakarn, Pandej & Millimet, Daniel, 2006. "Subnational Trade Flows and State-Level Energy Intensity," Departmental Working Papers 0601, Southern Methodist University, Department of Economics.
    45. Afolabi Luqman.O & Nor Aznin Abu Bakar & Mukhriz Izraf Azman Aziz, 2015. "Regionalism and ECOWAS Trade Performance: A Gravity Model Approach," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 29(2), pages 59-71.
    46. Mitze, Timo, 2009. "Endogeneity in Panel Data Models with Time-Varying and Time-Fixed Regressors: To IV or not IV?," Ruhr Economic Papers 83, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    47. Egger, Peter & Nigai, Sergey, 2015. "Structural Gravity with Dummies Only," CEPR Discussion Papers 10427, C.E.P.R. Discussion Papers.
    48. Mitze, Timo & Alecke, Björn & Untiedt, Gerhard, 2008. "Trade, FDI and Cross-Variable Linkages: A German (Macro-)Regional Perspective," MPRA Paper 12245, University Library of Munich, Germany.
    49. Isabel Proença & Stefan Sperlich & Duygu Savaşcı, 2015. "Semi-mixed effects gravity models for bilateral trade," Empirical Economics, Springer, vol. 48(1), pages 361-387, February.

  34. Eren,Ozkan & Henderson,J. Daniel, 2006. "The Impact of Homework on Student Achievement," Departmental Working Papers 0518, Southern Methodist University, Department of Economics, revised 12 May 2007.

    Cited by:

    1. Darren Grant & William Green, 2013. "Grades as incentives," Empirical Economics, Springer, vol. 44(3), pages 1563-1592, June.
    2. Deniz Baglan & Hakan Yilmazkuday, 2016. "Financial Health and the Intensive Margin of Trade," Working Papers 1607, Florida International University, Department of Economics.
    3. Henderson, Daniel J., 2008. "A Test for Multimodality of Regression Derivatives with an Application to Nonparametric Growth Regressions," MPRA Paper 8768, University Library of Munich, Germany.
    4. Ozabaci, Deniz & Henderson, Daniel J., 2014. "Additive Kernel Estimates of Returns to Schooling," IZA Discussion Papers 8736, Institute of Labor Economics (IZA).
    5. Daniel J. Henderson & Andrew Houtenville & Le Wang, 2017. "The Distribution of Returns to Education for People with Disabilities," Journal of Labor Research, Springer, vol. 38(3), pages 261-282, September.
    6. Carlos Cortinhas, 2017. "Does formative feedback help or hinder students? An empirical investigation," Discussion Papers 1701, University of Exeter, Department of Economics.
    7. Valentin Zelenyuk & Leopold Simar, 2011. "To Smooth or Not to Smooth? The Case of Discrete Variables in Nonparametric Regressions," CEPA Working Papers Series WP102011, School of Economics, University of Queensland, Australia.
    8. Henderson, Daniel J. & Maasoumi, Esfandiar, 2012. "Searching for Rehabilitation in Nonparametric Regression Models with Exogenous Treatment Assignment," IZA Discussion Papers 6874, Institute of Labor Economics (IZA).
    9. Christopher Clark & Benjamin Scafidi & John R. Swinton, 2012. "Does Ap Economics Improve Student Achievement?," The American Economist, Sage Publications, vol. 57(1), pages 1-20, May.
    10. Fulya Ersoy, 2021. "Returns to effort: experimental evidence from an online language platform," Natural Field Experiments 00756, The Field Experiments Website.
    11. Han Yu & Naci Mocan, 2019. "The Impact of High School Curriculum on Confidence, Academic Success, and Mental and Physical Well-Being of University Students," Journal of Labor Research, Springer, vol. 40(4), pages 428-462, December.
    12. Li, Degui & Simar, Leopold & Zelenyuk, Valentin, 2016. "Generalized nonparametric smoothing with mixed discrete and continuous data," LIDAM Reprints ISBA 2016020, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    13. Büttner Bettina & Thomsen Stephan L., 2015. "Are We Spending Too Many Years in School? Causal Evidence of the Impact of Shortening Secondary School Duration," German Economic Review, De Gruyter, vol. 16(1), pages 65-86, February.
    14. Torberg Falch & Marte Rønning, 2011. "Homework assignment and student achievement in OECD countries," Working Paper Series 11411, Department of Economics, Norwegian University of Science and Technology.
    15. Nicolas Grau, 2013. "The Impact of College Admissions Policies on The Performance of High School Students," PIER Working Paper Archive 13-040, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    16. Liouaeddine, Mariem & Bijou, Mohammed & Naji, Faïrouz, 2017. "The Main Determinants of Moroccan Students' Outcomes," MPRA Paper 80247, University Library of Munich, Germany.
    17. Rong Zhu, 2014. "The impact of major-job mismatch on college graduates' early career earnings: evidence from China," Education Economics, Taylor & Francis Journals, vol. 22(5), pages 511-528, October.
    18. Kalenkoski, Charlene Marie & Pabilonia, Sabrina Wulff, 2012. "Time to work or time to play: The effect of student employment on homework, sleep, and screen time," Labour Economics, Elsevier, vol. 19(2), pages 211-221.
    19. Steven McMullen, 2011. "How do Students Respond to Labor Market and Education Incentives? An Analysis of Homework Time," Journal of Labor Research, Springer, vol. 32(3), pages 199-209, September.
    20. José Antonio Molina Marfil & Oscar David Marcenaro Gutierrez & Ana Martín Marcos, 2016. "Procesos de enseñanza-aprendizaje y producción educativa: un análisis de la competencia matemática," Investigaciones de Economía de la Educación volume 11, in: José Manuel Cordero Ferrera & Rosa Simancas Rodríguez (ed.), Investigaciones de Economía de la Educación 11, edition 1, volume 11, chapter 32, pages 585-604, Asociación de Economía de la Educación.
    21. Zhao, Liange & Yuan, Hongbin & Wang, Xueyuan, 2024. "Impact of homework time on adolescent mental health: Evidence from China," International Journal of Educational Development, Elsevier, vol. 107(C).
    22. Grau, Nicolás, 2018. "The impact of college admissions policies on the academic effort of high school students," Economics of Education Review, Elsevier, vol. 65(C), pages 58-92.
    23. Eren, Ozkan & Henderson, Daniel J., 2011. "Are we wasting our children's time by giving them more homework?," Economics of Education Review, Elsevier, vol. 30(5), pages 950-961, October.

  35. Henderson, Daniel & Millimet, Daniel, 2005. "Pollution Abatement Costs and Foreign Direct Investment Inflows to U.S. States: A Nonparametric Reassessment," Departmental Working Papers 0507, Southern Methodist University, Department of Economics.

    Cited by:

    1. Azomahou, Theophile & Mishra, Tapas, 2009. "Stochastic environmental effects, demographic variation, and economic growth," MERIT Working Papers 2009-016, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    2. Natalia Zugravu, 2018. "The impact of trade in environmental goods on pollution: what are we learning from the transition economies’ experience?," Post-Print hal-02509936, HAL.
    3. Dezhong Duan & Qifan Xia, 2021. "Does Environmental Regulation Promote Environmental Innovation? An Empirical Study of Cities in China," IJERPH, MDPI, vol. 19(1), pages 1-18, December.
    4. Sylwia Bialek & Alfons J. Weichenrieder, 2021. "Do Stringent Environmental Policies Deter FDI? M&A versus Greenfield," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(3), pages 603-636, November.
    5. Ki-Dong Lee & Woohyung Lee & Kichun Kang, 2014. "Pollution Haven with Technological Externalities Arising from Foreign Direct Investment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 57(1), pages 1-18, January.
    6. Li, Shuo & Wang, Min, 2022. "Environmental Regulation and Firms’ Extensive Margin Decisions," EfD Discussion Paper 22-15, Environment for Development, University of Gothenburg.
    7. Guglielmo Caporale & Christophe Rault & Robert Sova & Anamaria Sova, 2010. "Environmental Regulation and Competitiveness: Evidence from Romania," William Davidson Institute Working Papers Series wp995, William Davidson Institute at the University of Michigan.
    8. Monica DAS & Debasri MUKHERJEE, 2011. "The J-Curve for the relationship between Pollution Abatement Expenditure and Income per capita: A New Empirical Investigation from US Regional Data," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 11(2).
    9. Hanif, Imran & Faraz Raza, Syed Muhammad & Gago-de-Santos, Pilar & Abbas, Qaiser, 2019. "Fossil fuels, foreign direct investment, and economic growth have triggered CO2 emissions in emerging Asian economies: Some empirical evidence," Energy, Elsevier, vol. 171(C), pages 493-501.
    10. Natalia Zugravu & Sonia Ben Kheder, 2008. "The Pollution Haven Hypothesis: A Geographic Economy Model in a Comparative Study," Working Papers 2008.73, Fondazione Eni Enrico Mattei.
    11. Saussay, Aurélien & Zugravu-Soilita, Natalia, 2023. "International production chains and the pollution offshoring hypothesis: an empirical investigation," LSE Research Online Documents on Economics 118352, London School of Economics and Political Science, LSE Library.
    12. Wei-Bin Zhang, 2014. "Global Economic Growth and Environmental Change," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 64(3), pages 3-29, July-Sept.
    13. Ronald B. Davies & Helen T. Naughton, 2003. "Cooperation in Environmental Policy: A Spatial Approach," University of Oregon Economics Department Working Papers 2006-18, University of Oregon Economics Department, revised 10 Jun 2003.
    14. Kukenova, Madina & Monteiro, Jose-Antonio, 2008. "Does Lax Environmental Regulation Attract FDI when accounting for "third-country" effects?," MPRA Paper 11321, University Library of Munich, Germany, revised Sep 2008.
    15. Théophile T. Azomahou & Tapas Mishra & Mamata Parhi, 2015. "Economic Growth under Stochastic Population and Pollution Shocks," Manchester School, University of Manchester, vol. 83(3), pages 314-345, June.
    16. Naughton, Helen T., 2014. "To shut down or to shift: Multinationals and environmental regulation," Ecological Economics, Elsevier, vol. 102(C), pages 113-117.
    17. Fei Ren & Yuke Zhu & Dong Le, 2022. "The Spatial Effect of Air Pollution Governance on Labor Productivity: Evidence from 262 Chinese Cities," IJERPH, MDPI, vol. 19(20), pages 1-25, October.
    18. Houssem Eddine Chebbi & Marcelo Olarreaga & Habib Zitouna, 2011. "Trade Openness Andco2emissions In Tunisia," Middle East Development Journal (MEDJ), World Scientific Publishing Co. Pte. Ltd., vol. 3(01), pages 29-53.
    19. Dincer, Oguzhan C. & Fredriksson, Per G., 2018. "Corruption and environmental regulatory policy in the United States: Does trust matter?," Resource and Energy Economics, Elsevier, vol. 54(C), pages 212-225.
    20. Joltreau, Eugénie & Sommerfeld, Katrin, 2017. "Why Does Emissions Trading under the EU ETS Not Affect Firms' Competitiveness? Empirical Findings from the Literature," IZA Discussion Papers 11253, Institute of Labor Economics (IZA).
    21. Livanis, Grigorios T. & Salois, Matthew J. & Moss, Charles B., 2009. "A Nonparametric Kernel Representation of the Agricultural Production Function: Implications for Economic Measures of Technology," 83rd Annual Conference, March 30 - April 1, 2009, Dublin, Ireland 51063, Agricultural Economics Society.
    22. Fabien Candau & Elisa Dienesch, 2017. "Pollution Haven and Corruption Paradise," Post-Print hal-01844372, HAL.
    23. George Adu, 2013. "Effects on growth of environmental policy in a small open economy," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 15(4), pages 343-365, October.
    24. Daniel L. Millimet & Jayjit Roy, 2011. "Three New Empirical Tests of the Pollution Haven Hypothesis When Environmental Regulation is Endogenous," Working Papers 11-10, Department of Economics, Appalachian State University.
    25. Bruce G. Carruthers & Naomi R. Lamoreaux, 2016. "Regulatory Races: The Effects of Jurisdictional Competition on Regulatory Standards," Journal of Economic Literature, American Economic Association, vol. 54(1), pages 52-97, March.
    26. Sonia Ben Kheder & Natalia Zugravu, 2012. "Environmental regulation and French firms location abroad: An economic geography model in an international comparative study," Post-Print hal-03709122, HAL.
    27. Bowen Li & Antonio Alleyne & Zhaoyong Zhang & Yifei Mu, 2021. "Sustainability and Waste Imports in China: Pollution Haven or Resources Hunting," Sustainability, MDPI, vol. 13(2), pages 1-21, January.
    28. Zhang, Hongliang, 2013. "Pollution Haven Effect with Heterogeneous Firms," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150781, Agricultural and Applied Economics Association.
    29. Paul Missios & Halis Murat Yildiz & Ida Ferrara, 2009. "Foreign Direct Investment and the Choice of Environmental Policy," Working Papers 004, Toronto Metropolitan University, Department of Economics.
    30. Millimet, Daniel L., 2013. "Environmental Federalism: A Survey of the Empirical Literature," IZA Discussion Papers 7831, Institute of Labor Economics (IZA).
    31. Xin, Baogui & Zhang, Tengda & Santibanez-Gonzalez, Ernesto D.R., 2024. "Synergistic effects of regional environmental governance on alleviating energy poverty and promoting household decarbonization," Energy Policy, Elsevier, vol. 185(C).
    32. Shaobo Wang & Junfeng Liu & Xionghe Qin, 2022. "Financing Constraints, Carbon Emissions and High-Quality Urban Development—Empirical Evidence from 290 Cities in China," IJERPH, MDPI, vol. 19(4), pages 1-16, February.
    33. Mahdevi Tiagarassa Pillay & Harshana Kasseeah, 2024. "Does environmental commitment improve access to finance? Evidence from small firms in Mauritius," Business Strategy and the Environment, Wiley Blackwell, vol. 33(8), pages 7729-7749, December.

  36. Henderson, Daniel J. & Olbrecht, Alexandre & Polachek, Solomon, 2005. "Do Former College Athletes Earn More at Work? A Nonparametric Assessment," IZA Discussion Papers 1882, Institute of Labor Economics (IZA).

    Cited by:

    1. James J. Heckman & Colleen P. Loughlin, 2021. "Are Student-Athletes Exploited?," NBER Working Papers 29072, National Bureau of Economic Research, Inc.
    2. Barbara Kotschwar & Kevin Stahler, 2016. "Level the Playing Field to Bolster the Boardroom: Sports as a Springboard for Women's Labor Force Advancement in Asia," Asian Economic Policy Review, Japan Center for Economic Research, vol. 11(1), pages 117-134, January.
    3. Jerome Segura III & Jonathan Willner, 2019. "Athleticism in NCAA D-III: It Ain’t Only Football That Matters," Journal of Sports Economics, , vol. 20(7), pages 929-958, October.
    4. Laura Capranica & Mojca Doupona & Ilvis Abelkalns & Ugis Bisenieks & Antonio Sánchez-Pato & Francisco José Cánovas-Alvarez & António J Figueiredo & Juan Alfonso García-Roca & Alejandro Leiva-Arcas & L, 2022. "Understanding dual career views of European university athletes: The more than gold project focus groups," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-20, February.
    5. Lechner, Michael & Fricke, Hans & Steinmayr, Andreas, 2017. "The Effect of Physical Activity on Student Performance in College: An Experimental Evaluation," CEPR Discussion Papers 12052, C.E.P.R. Discussion Papers.
    6. Lundin, Martin & Nordström Skans, Oskar & Zetterberg, Pär, 2018. "Leadership Experiences, Labor Market Entry, and Early Career Trajectories," IZA Discussion Papers 11434, Institute of Labor Economics (IZA).
    7. Tao Zou & Yue Zhang & Bo Zhou, 2022. "Does GPA matter for university graduates’ wages? New evidence revisited," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-16, April.
    8. Caruso, Raul, 2011. "Crime and sport participation: Evidence from Italian regions over the period 1997–2003," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(5), pages 455-463.
    9. Lechner, Michael, 2009. "Long-run labour market and health effects of individual sports activities," Journal of Health Economics, Elsevier, vol. 28(4), pages 839-854, July.
    10. Müller, Michael, 2015. "Der Zusammenhang zwischen sportlicher (Wettkampf-)Aktivität und kognitiver Leistung," Discussion Papers of the Institute for Organisational Economics 1/2015, University of Münster, Institute for Organisational Economics.
    11. Daniel R. Marburger, 2015. "How Are Athletic Directors Rewarded in the NCAA Football Bowl Subdivision?," Journal of Sports Economics, , vol. 16(3), pages 254-267, April.
    12. P Wesley Routon & Jay K Walker, 2015. "Student-Athletes? The Impact of Intercollegiate Sports Participation on Academic Outcomes," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 41(4), pages 592-611, September.
    13. Zhu, Rong, 2011. "Individual heterogeneity in returns to education in urban China during 1995-2002," Economics Letters, Elsevier, vol. 113(1), pages 84-87, October.
    14. Eren,Ozkan & Henderson,J. Daniel, 2006. "The Impact of Homework on Student Achievement," Departmental Working Papers 0518, Southern Methodist University, Department of Economics, revised 12 May 2007.
    15. Ong C. & Witte K. de, 2013. "Ethnic segregation and heterogeneous preferences of homeowners for housing and neighbourhood characteristics : evidence from the Netherlands," MERIT Working Papers 2013-061, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    16. Michael Mueller, 2016. "Does Sporting Activity Foster Career Advancement?," Eastern European Business and Economics Journal, Eastern European Business and Economics Studies Centre, vol. 2(4), pages 285-298.
    17. Olbrecht, Alexandre, 2009. "Do academically deficient scholarship athletes earn higher wages subsequent to graduation?," Economics of Education Review, Elsevier, vol. 28(5), pages 611-619, October.
    18. Müller, Michael, 2016. "Fördert sportliche Aktivität den beruflichen Aufstieg?," Discussion Papers of the Institute for Organisational Economics 02/2016, University of Münster, Institute for Organisational Economics.
    19. Steven Caudill & James Long, 2010. "Do former athletes make better managers? Evidence from a partially adaptive grouped-data regression model," Empirical Economics, Springer, vol. 39(1), pages 275-290, August.
    20. Barbara Kotschwar, 2014. "Women, Sports, and Development: Does It Pay to Let Girls Play?," Policy Briefs PB14-8, Peterson Institute for International Economics.
    21. Michael Müller, 2016. "Der Zusammenhang zwischen sportlicher (Wettkampf-)Aktivität und kognitiver Leistung," SOEPpapers on Multidisciplinary Panel Data Research 838, DIW Berlin, The German Socio-Economic Panel (SOEP).
    22. Fricke, Hans & Lechner, Michael & Steinmayr, Andreas, 2018. "The effects of incentives to exercise on student performance in college," Economics of Education Review, Elsevier, vol. 66(C), pages 14-39.
    23. James D. Paul & Albert A. Cheng & Jay P. Greene & Josh B. McGee, 2023. "The Value of College Athletics in the Labor Market: Results from a Resume Audit Field Experiment," Journal of Sports Economics, , vol. 24(3), pages 329-351, April.

  37. Henderson, Daniel & Russell, Robert, 2001. "Human Capital and Macroeconomic Convergence: A Production-Frontier Approach," Efficiency Series Papers 2001/07, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).

    Cited by:

    1. Almas Heshmati & Masoomeh Rashidghalam, 2020. "Estimation of technical change and TFP growth based on observable technology shifters," Journal of Productivity Analysis, Springer, vol. 53(1), pages 21-36, February.
    2. Víctor Giménez & Diego Prior & Emili Tortosa-Ausina, 2018. "The impact of efficiency on the economic growth of emerging economies: The case of Colombia," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 36(85), pages 86-100, November.
    3. Yasmina Reem Limam & Stephen M. Miller, 2004. "Explaining Economic Growth: Factor Accumulation, Total Factor Productivity Growth, and Production Efficiency Improvement," Working papers 2004-20, University of Connecticut, Department of Economics.
    4. Maria Jesus Delgado Rodriguez & Inmaculada Alvarez Ayuso, 2004. "Integration brings convergence? The role of public and human capital," ERSA conference papers ersa04p164, European Regional Science Association.
    5. Hao, Rui, 2007. "Efficience technique, croissance économique et égalité régionale en Chine : une approche de frontières stochastiques," L'Actualité Economique, Société Canadienne de Science Economique, vol. 83(3), pages 297-320, septembre.
    6. Shawna Grosskopf, 2003. "Some Remarks on Productivity and its Decompositions," Journal of Productivity Analysis, Springer, vol. 20(3), pages 459-474, November.

Articles

  1. Oleg Badunenko & Daniel J. Henderson, 2024. "Production analysis with asymmetric noise," Journal of Productivity Analysis, Springer, vol. 61(1), pages 1-18, February.
    See citations under working paper version above.
  2. Wang, Taining & Henderson, Daniel J., 2022. "Estimation of a varying coefficient, fixed-effects Cobb–Douglas production function in levels," Economics Letters, Elsevier, vol. 213(C).

    Cited by:

    1. Yao Li & Yugang He, 2024. "Unraveling Korea’s Energy Challenge: The Consequences of Carbon Dioxide Emissions and Energy Use on Economic Sustainability," Sustainability, MDPI, vol. 16(5), pages 1-29, March.

  3. Daniel J. Henderson & Anne-Charlotte Souto, 2018. "An Introduction to Nonparametric Regression for Labor Economists," Journal of Labor Research, Springer, vol. 39(4), pages 355-382, December.
    See citations under working paper version above.
  4. Henderson, Daniel J. & Sheehan, Alice, 2018. "Kernel-based testing with skewed and heavy-tailed data: Evidence from a nonparametric test for heteroskedasticity," Economics Letters, Elsevier, vol. 172(C), pages 8-11.

    Cited by:

    1. Huang, Ta-Cheng & Li, Hongjun & Li, Zheng, 2020. "A modified bootstrap for kernel-based specification test with heavy-tailed data," Economics Letters, Elsevier, vol. 189(C).
    2. Wang, Wenju & Wang, Qiao, 2019. "Consistent specification test for partially linear models with the k-nearest-neighbor method," Economics Letters, Elsevier, vol. 177(C), pages 89-93.

  5. Daniel J. Henderson & Léopold Simar & Le Wang, 2017. "The three s of public schools: irrelevant inputs, insufficient resources and inefficiency," Applied Economics, Taylor & Francis Journals, vol. 49(12), pages 1164-1184, March.
    See citations under working paper version above.
  6. Daniel J. Henderson & Andrew Houtenville & Le Wang, 2017. "The Distribution of Returns to Education for People with Disabilities," Journal of Labor Research, Springer, vol. 38(3), pages 261-282, September.
    See citations under working paper version above.
  7. Chu, Chi-Yang & Henderson, Daniel J. & Parmeter, Christopher F., 2017. "On discrete Epanechnikov kernel functions," Computational Statistics & Data Analysis, Elsevier, vol. 116(C), pages 79-105.

    Cited by:

    1. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances II," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 9, pages 371-408, Springer.
    2. Jeffrey S. Racine & Qi Li & Karen X. Yan, 2020. "Kernel smoothed probability mass functions for ordered datatypes," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 32(3), pages 563-586, July.
    3. Guohua Feng & Jiti Gao & Xiaohui Zhang, 2016. "Estimation of Technical Change and Price Elasticities: A Categorical Time-varying Coefficient Approach," Monash Econometrics and Business Statistics Working Papers 2/16, Monash University, Department of Econometrics and Business Statistics.
    4. Stefan Sperlich, 2022. "Comments on: hybrid semiparametric Bayesian networks," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(2), pages 335-339, June.
    5. Amina Ika Micah, 2022. "Three essays on access to credit and financial shock in Nigeria," Economics PhD Theses 0422, Department of Economics, University of Sussex Business School.
    6. Senga Kiessé, Tristan & Durrieu, Gilles, 2024. "On a discrete symmetric optimal associated kernel for estimating count data distributions," Statistics & Probability Letters, Elsevier, vol. 208(C).
    7. Hongtao Ma & Yuan Meng & Hanfa Xing & Cansong Li, 2019. "Investigating Road-Constrained Spatial Distributions and Semantic Attractiveness for Area of Interest," Sustainability, MDPI, vol. 11(17), pages 1-15, August.

  8. Chi‐Yang Chu & Daniel J. Henderson & Le Wang, 2017. "The Robust Relationship Between us Food Aid and Civil Conflict," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(5), pages 1027-1032, August.

    Cited by:

    1. Koppenberg, Maximilian & Mishra, Ashok K. & Hirsch, Stefan, 2023. "Food aid and violent conflict: A review and Empiricist’s companion," Food Policy, Elsevier, vol. 121(C).
    2. Koppenberg, Maximilian & Mishra, Ashok K. & Hirsch, Stefan, 2023. "Food Aid and Violent Conflict: A Review of Literature," IZA Discussion Papers 16574, Institute of Labor Economics (IZA).

  9. Henderson Daniel J. & Parmeter Christopher F., 2017. "Root-n Consistent Kernel Density Estimation in Practice," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-10, January.

    Cited by:

    1. Henderson, Daniel J. & Sheehan, Alice, 2018. "Kernel-based testing with skewed and heavy-tailed data: Evidence from a nonparametric test for heteroskedasticity," Economics Letters, Elsevier, vol. 172(C), pages 8-11.
    2. McCloud, Nadine & Parmeter, Christopher F., 2020. "Determining the Number of Effective Parameters in Kernel Density Estimation," Computational Statistics & Data Analysis, Elsevier, vol. 143(C).

  10. Henderson, Daniel J. & Parmeter, Christopher F., 2015. "A consistent bootstrap procedure for nonparametric symmetry tests," Economics Letters, Elsevier, vol. 131(C), pages 78-82.

    Cited by:

    1. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances II," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 9, pages 371-408, Springer.
    2. Sang, Yongli, 2024. "Test for diagonal symmetry in high dimension," Statistics & Probability Letters, Elsevier, vol. 205(C).
    3. Lyubchich, Vyacheslav & Wang, Xingyu & Heyes, Andrew & Gel, Yulia R., 2016. "A distribution-free m-out-of-n bootstrap approach to testing symmetry about an unknown median," Computational Statistics & Data Analysis, Elsevier, vol. 104(C), pages 1-9.
    4. Niu, Cuizhen & Guo, Xu & Li, Yong & Zhu, Lixing, 2018. "Pairwise distance-based tests for conditional symmetry," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 145-162.
    5. Dai, Xinjie & Niu, Cuizhen & Guo, Xu, 2018. "Testing for central symmetry and inference of the unknown center," Computational Statistics & Data Analysis, Elsevier, vol. 127(C), pages 15-31.

  11. Deniz Ozabaci & Daniel Henderson, 2015. "Additive kernel estimates of returns to schooling," Empirical Economics, Springer, vol. 48(1), pages 227-251, February.
    See citations under working paper version above.
  12. Henderson, Daniel J. & Li, Qi & Parmeter, Christopher F. & Yao, Shuang, 2015. "Gradient-based smoothing parameter selection for nonparametric regression estimation," Journal of Econometrics, Elsevier, vol. 184(2), pages 233-241.
    See citations under working paper version above.
  13. Chi-Yang Chu & Daniel J. Henderson & Christopher F. Parmeter, 2015. "Plug-in Bandwidth Selection for Kernel Density Estimation with Discrete Data," Econometrics, MDPI, vol. 3(2), pages 1-16, March.

    Cited by:

    1. Henderson, Daniel J. & Sperlich, Stefan, 2022. "A Complete Framework for Model-Free Difference-in-Differences Estimation," IZA Discussion Papers 15799, Institute of Labor Economics (IZA).
    2. Park, Byeong U. & Simar, Leopold & Zelenyuk, Valentin, 2018. "Forecasting of Recessions via Dynamic Probit for Time Series: Replication and Extension of Kauppi and Saikkonen (2008)," LIDAM Discussion Papers ISBA 2018004, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    3. Arnerić Josip, 2020. "Realized density estimation using intraday prices," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 6(1), pages 1-9, May.
    4. Chu, Chi-Yang & Henderson, Daniel J. & Parmeter, Christopher F., 2017. "On discrete Epanechnikov kernel functions," Computational Statistics & Data Analysis, Elsevier, vol. 116(C), pages 79-105.
    5. Xu, Zhongxiang & Chevapatrakul, Thanaset & Li, Xiafei, 2019. "Return asymmetry and the cross section of stock returns," Journal of International Money and Finance, Elsevier, vol. 97(C), pages 93-110.
    6. Stefan Sperlich, 2022. "Comments on: hybrid semiparametric Bayesian networks," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(2), pages 335-339, June.
    7. Regmi, Krishna & Henderson, Daniel J., 2019. "Labor Demand Shocks at Birth and Cognitive Achievement during Childhood," IZA Discussion Papers 12521, Institute of Labor Economics (IZA).
    8. Regmi, Krishna & J. Henderson, Daniel, 2019. "Labor demand shocks at birth and cognitive achievement during childhood," Economics of Education Review, Elsevier, vol. 73(C).
    9. Byeong U. Park & Leopold Simar & Valentin Zelenyuk, 2017. "Revisiting Forecasting of Recessions via Dynamic Probit for Time Series by Kauppi and Saikkonen (2008)," CEPA Working Papers Series WP032017, School of Economics, University of Queensland, Australia.
    10. Lynda Harfouche & Smail Adjabi & Nabil Zougab & Benedikt Funke, 2018. "Multiplicative bias correction for discrete kernels," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(2), pages 253-276, June.

  14. Henderson, Daniel J. & Kumbhakar, Subal C. & Li, Qi & Parmeter, Christopher F., 2015. "Smooth coefficient estimation of a seemingly unrelated regression," Journal of Econometrics, Elsevier, vol. 189(1), pages 148-162.

    Cited by:

    1. David H. Bernstein & Christopher F. Parmeter, 2017. "Returns to Scale in Electricity Generation: Revisited and Replicated," Working Papers 2017-08, University of Miami, Department of Economics.
    2. Guohua Feng & Chuan Wang & Apostolos Serletis, 2018. "Shadow prices of $$\hbox {CO}_{2}$$ CO 2 emissions at US electric utilities: a random-coefficient, random-directional-vector directional output distance function approach," Empirical Economics, Springer, vol. 54(1), pages 231-258, February.
    3. Ali Mehrabani & Aman Ullah, 2020. "Improved Average Estimation in Seemingly Unrelated Regressions," Econometrics, MDPI, vol. 8(2), pages 1-22, April.
    4. Čížek, Pavel & Koo, Chao Hui, 2021. "Jump-preserving varying-coefficient models for nonlinear time series," Econometrics and Statistics, Elsevier, vol. 19(C), pages 58-96.
    5. Li, Hong & Shi, Yanlin, 2021. "A new unique information share measure with applications on cross-listed Chinese banks," Journal of Banking & Finance, Elsevier, vol. 128(C).
    6. Shun Matsuura & Hiroshi Kurata, 2020. "Covariance matrix estimation in a seemingly unrelated regression model under Stein’s loss," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(1), pages 79-99, March.
    7. Guohua Feng & Jiti Gao & Xiaohui Zhang, 2016. "Estimation of Technical Change and Price Elasticities: A Categorical Time-varying Coefficient Approach," Monash Econometrics and Business Statistics Working Papers 2/16, Monash University, Department of Econometrics and Business Statistics.
    8. Zhe Li & Ping Wang & Tianlong Wu, 2021. "Do foreign institutional investors drive corporate social responsibility? Evidence from listed firms in China," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 48(1-2), pages 338-373, January.
    9. Subal C. Kumbhakar & Kai Sun & Rui Zhang, 2016. "Semiparametric Smooth Coefficient Estimation of a Production System," Pacific Economic Review, Wiley Blackwell, vol. 21(4), pages 464-482, October.
    10. Chaohua Dong & Jiti Gao & Bin Peng, 2016. "Another Look at Single-Index Models Based on Series Estimation," Monash Econometrics and Business Statistics Working Papers 19/16, Monash University, Department of Econometrics and Business Statistics.
    11. Mark Andor & Christopher Parmeter, 2017. "Pseudolikelihood estimation of the stochastic frontier model," Applied Economics, Taylor & Francis Journals, vol. 49(55), pages 5651-5661, November.
    12. Ye Chen & Jian Li & Qiyuan Li, 2023. "Seemingly Unrelated Regression Estimation for VAR Models with Explosive Roots," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(4), pages 910-937, August.
    13. Isabel Casas & Eva Ferreira & Susan Orbe, 2021. "Time-Varying Coefficient Estimation in SURE Models. Application to Portfolio Management," Journal of Financial Econometrics, Oxford University Press, vol. 19(4), pages 707-745.
    14. Zhe Li & Ping Wang, 2023. "Cross‐border mergers and acquisitions and corporate social responsibility: Evidence from Chinese listed firms," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 50(1-2), pages 335-376, January.
    15. Casas Villalba, Maria Isabel, 2020. "Adaptative predictability of stock market returns," DES - Working Papers. Statistics and Econometrics. WS 31648, Universidad Carlos III de Madrid. Departamento de Estadística.
    16. Chaohua Dong & Jiti Gao & Bin Peng, 2018. "Series estimation for single-index models under constraints," Monash Econometrics and Business Statistics Working Papers 5/18, Monash University, Department of Econometrics and Business Statistics.
    17. Xu, Ke-Li, 2017. "Regression discontinuity with categorical outcomes," Journal of Econometrics, Elsevier, vol. 201(1), pages 1-18.
    18. Isabel Casas & Xiuping Mao & Helena Veiga, 2018. "Reexamining financial and economic predictability with new estimators of realized variance and variance risk premium," CREATES Research Papers 2018-10, Department of Economics and Business Economics, Aarhus University.

  15. Henderson, Daniel J. & Qian, Junhui & Wang, Le, 2015. "The inequality–growth plateau," Economics Letters, Elsevier, vol. 128(C), pages 17-20.
    See citations under working paper version above.
  16. Deniz Ozabaci & Daniel J. Henderson & Liangjun Su, 2014. "Additive Nonparametric Regression in the Presence of Endogenous Regressors," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(4), pages 555-575, October.
    See citations under working paper version above.
  17. Michael S. Delgado & Daniel J. Henderson & Christopher F. Parmeter, 2014. "Does Education Matter for Economic Growth?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(3), pages 334-359, June.
    See citations under working paper version above.
  18. Christopher Parmeter & Kai Sun & Daniel Henderson & Subal Kumbhakar, 2014. "Estimation and inference under economic restrictions," Journal of Productivity Analysis, Springer, vol. 41(1), pages 111-129, February.

    Cited by:

    1. Hou, Zhezhi & Zhao, Shunan & Kumbhakar, Subal C., 2023. "The GMM estimation of semiparametric spatial stochastic frontier models," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1450-1464.
    2. Ruben Dewitte & Michel Dumont & Bruno Merlevede & Glenn Rayp & Marijn Verschelde, 2020. "Firm-Heterogeneous Biased Technological Change: A nonparametric approach under endogeneity," Post-Print hal-03001787, HAL.
    3. Kai Sun & Ruhul Salim, 2020. "A semiparametric stochastic input distance frontier model with application to the Indonesian banking industry," Journal of Productivity Analysis, Springer, vol. 54(2), pages 139-156, December.
    4. Moragues, Raul & Aparicio, Juan & Esteve, Miriam, 2023. "An unsupervised learning-based generalization of Data Envelopment Analysis," Operations Research Perspectives, Elsevier, vol. 11(C).
    5. Sickles, Robin C. & Sun, Kai & Triebs, Thomas P., 2020. "The Optimal Use of Management," Working Papers 20-003, Rice University, Department of Economics.
    6. Mark Andor & Christopher Parmeter, 2017. "Pseudolikelihood estimation of the stochastic frontier model," Applied Economics, Taylor & Francis Journals, vol. 49(55), pages 5651-5661, November.
    7. Humberto Brea-Solis & Sergio Perelman & David Saal, 2017. "Regulatory incentives to water losses reduction: the case of England and Wales," Journal of Productivity Analysis, Springer, vol. 47(3), pages 259-276, June.
    8. Sun, Kai & Kumbhakar, Subal C. & Tveterås, Ragnar, 2015. "Productivity and efficiency estimation: A semiparametric stochastic cost frontier approach," European Journal of Operational Research, Elsevier, vol. 245(1), pages 194-202.
    9. Kai Sun, 2015. "Constrained nonparametric estimation of input distance function," Journal of Productivity Analysis, Springer, vol. 43(1), pages 85-97, February.
    10. Feng, Guohua & Peng, Bin & Su, Liangjun & Yang, Thomas Tao, 2019. "Semi-parametric single-index panel data models with interactive fixed effects: Theory and practice," Journal of Econometrics, Elsevier, vol. 212(2), pages 607-622.
    11. Mengistu Assefa Wendimu & Arne Henningsen & Tomasz Gerard Czekaj, 2015. "Incentives and Moral Hazard: Plot Level Productivity of Factory-Operated and Outgrower-Operated Sugarcane Production in Ethiopia," IFRO Working Paper 2015/02, University of Copenhagen, Department of Food and Resource Economics.
    12. Valero-Carreras, Daniel & Aparicio, Juan & Guerrero, Nadia M., 2021. "Support vector frontiers: A new approach for estimating production functions through support vector machines," Omega, Elsevier, vol. 104(C).
    13. Esteve, Miriam & Aparicio, Juan & Rodriguez-Sala, Jesus J. & Zhu, Joe, 2023. "Random Forests and the measurement of super-efficiency in the context of Free Disposal Hull," European Journal of Operational Research, Elsevier, vol. 304(2), pages 729-744.
    14. Marijn Verschelde & Michel Dumont & Bruno Merlevede & Glenn Rayp, 2014. "A constrained nonparametric regression analysis of factor-biased technical change and TFP growth at the firm level," Working Paper Research 266, National Bank of Belgium.
    15. Fabian Frick & Johannes Sauer, 2021. "Technological Change in Dairy Farming with Increased Price Volatility," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 564-588, June.

  19. Oleg Badunenko & Daniel Henderson & Romain Houssa, 2014. "Significant drivers of growth in Africa," Journal of Productivity Analysis, Springer, vol. 42(3), pages 339-354, December.
    See citations under working paper version above.
  20. Henderson, Daniel J. & Papageorgiou, Chris & Parmeter, Christopher F., 2013. "Who benefits from financial development? New methods, new evidence," European Economic Review, Elsevier, vol. 63(C), pages 47-67.
    See citations under working paper version above.
  21. Oleg Badunenko & Daniel Henderson & R. Russell, 2013. "Polarization of the worldwide distribution of productivity," Journal of Productivity Analysis, Springer, vol. 40(2), pages 153-171, October.

    Cited by:

    1. Duygun, Meryem & Hao, Jiaqi & Isaksson, Anders & Sickles, Robin C., 2015. "World Productivity Growth: A Model Averaging Approach," Working Papers 15-011, Rice University, Department of Economics.
    2. Jens J. Krüger, 2020. "Long‐run productivity trends: A global update with a global index," Review of Development Economics, Wiley Blackwell, vol. 24(4), pages 1393-1412, November.
    3. Walheer, Barnabé, 2016. "Growth and convergence of the OECD countries: A multi-sector production-frontier approach," European Journal of Operational Research, Elsevier, vol. 252(2), pages 665-675.
    4. Oleg Badunenko & Daniel Henderson & Romain Houssa, 2014. "Significant drivers of growth in Africa," Journal of Productivity Analysis, Springer, vol. 42(3), pages 339-354, December.
    5. Wen‐Shuenn Deng & Yi‐Chen Lin & Ming‐Tien Tsai, 2018. "Polarization of life expectancy across countries: Does biological and cultural distance to the health technological frontier matter?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 65(3), pages 248-270, July.
    6. Jens J. Krüger, 2016. "Radar scanning the world production frontier," Journal of Productivity Analysis, Springer, vol. 46(1), pages 1-13, August.
    7. Oleg Badunenko & Harald Tauchmann, 2019. "Simar and Wilson two-stage efficiency analysis for Stata," Stata Journal, StataCorp LP, vol. 19(4), pages 950-988, December.
    8. Nickolaos G. Tzeremes, 2019. "Technological change, technological catch-up and export orientation: evidence from Latin American Countries," Journal of Productivity Analysis, Springer, vol. 52(1), pages 85-100, December.
    9. Walheer, Barnabé & He, Ming, 2020. "Technical efficiency and technology gap of the manufacturing industry in China: Does firm ownership matter?," World Development, Elsevier, vol. 127(C).
    10. Julian Ramajo & Miguel A. Marquez & Geoffrey J. D. Hewings, 2021. "Addressing spatial dependence in technical efficiency estimation: A Spatial DEA frontier approach," Papers 2103.14063, arXiv.org.
    11. Barnabé Walheer, 2016. "Multi-Sector Nonparametric Production-Frontier Analysis of the Economic Growth and the Convergence of the European Countries," Pacific Economic Review, Wiley Blackwell, vol. 21(4), pages 498-524, October.
    12. Walheer, Barnabé, 2018. "Labour productivity growth and energy in Europe: A production-frontier approach," Energy, Elsevier, vol. 152(C), pages 129-143.
    13. Glass, Anthony J. & Kenjegalieva, Karligash & Ajayi, Victor & Adetutu, Morakinyo & Sickles, Robin C., 2016. "Relative Winners and Losers from Efficiency Spillovers in Africa with Policy Implications for Regional Integration," Working Papers 16-003, Rice University, Department of Economics.
    14. Oleg Badunenko & Daniel J. Henderson & Valentin Zelenyuk, 2017. "The Productivity of Nations," Working Papers in Economics & Finance 2017-05, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    15. Andreas Eder & Wolfgang Koller & Bernhard Mahlberg, 2024. "The contribution of industrial robots to labor productivity growth and economic convergence: a production frontier approach," Journal of Productivity Analysis, Springer, vol. 61(2), pages 157-181, April.
    16. Alicia Gómez–Tello & Rosella Nicolini, 2017. "Immigration and productivity: a Spanish tale," Journal of Productivity Analysis, Springer, vol. 47(2), pages 167-183, April.
    17. Oleg Badunenko, 2017. "Labor Market Regulations and Growth," Working Papers in Economics & Finance 2017-07, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    18. Yu Sheng & V. Eldon Ball & Kenneth Erickson & Carlos San Juan Mesonada, 2022. "Cross-country agricultural TFP convergence and capital deepening: evidence for induced innovation from 17 OECD countries," Journal of Productivity Analysis, Springer, vol. 58(2), pages 185-202, December.
    19. Ferreira Paulo & Dionísio Andreia, 2016. "GDP growth and convergence determinants in the European Union: a crisp-set analysis," Review of Economic Perspectives, Sciendo, vol. 16(4), pages 279-296, December.
    20. Julián Ramajo & Miguel A. Márquez & Geoffrey J. D. Hewings, 2024. "Addressing spatial dependence when estimating technical efficiency: A spatialized data envelopment analysis of regional productive performance in the European Union," Growth and Change, Wiley Blackwell, vol. 55(1), March.
    21. Robin C. Sickles & Jiaqi Hao & Chenjun Shang, 2014. "Panel data and productivity measurement: an analysis of Asian productivity trends," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 12(3), pages 211-231, August.
    22. Sickles, Robin C. & Hao, Jiaqi & Shang, Chenjun, 2015. "Panel Data and Productivity Measurement," Working Papers 15-018, Rice University, Department of Economics.
    23. Jens J. Krüger, 2017. "Revisiting the world technology frontier: a directional distance function approach," Journal of Economic Growth, Springer, vol. 22(1), pages 67-95, March.
    24. Mauro Mussini & Biancamaria Zavanella, 2015. "Measuring bipolarization in labour productivity in Italy: a new index and its decomposition by sectors and regional factors," RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO, FrancoAngeli Editore, vol. 2015(3), pages 29-55.
    25. Nicky Rogge, 2019. "Regional productivity growth in the EU since 2000: something is better than nothing," Empirical Economics, Springer, vol. 56(2), pages 423-444, February.
    26. Arbona, Alexei & Giménez, Víctor & López-Estrada, Sebastián & Prior, Diego, 2022. "Efficiency and quality in Colombian education: An application of the metafrontier Malmquist-Luenberger productivity index," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    27. Walheer, Barnabé, 2018. "Economic growth and greenhouse gases in Europe: A non-radial multi-sector nonparametric production-frontier analysis," Energy Economics, Elsevier, vol. 74(C), pages 51-62.
    28. Walheer, Barnabé, 2021. "Labor productivity and technology heterogeneity," Journal of Macroeconomics, Elsevier, vol. 68(C).
    29. Hirofumi Fukuyama & Atsuo Hashimoto & Kaoru Tone & William L. Weber, 2018. "Does human capital or physical capital constrain output in Japanese prefectures?," Empirical Economics, Springer, vol. 54(2), pages 379-393, March.
    30. Barnabé Walheer, 2019. "Scale, congestion, and technical efficiency of European countries: a sector-based nonparametric approach," Empirical Economics, Springer, vol. 56(6), pages 2025-2078, June.
    31. Tarancón, Miguel-Ángel & Gutiérrez-Pedrero, María-Jesús & Callejas, Fernando E. & Martínez-Rodríguez, Isabel, 2018. "Verifying the relation between labor productivity and productive efficiency by means of the properties of the input-output matrices. The European case," International Journal of Production Economics, Elsevier, vol. 195(C), pages 54-65.

  22. Henderson, Daniel J. & List, John A. & Millimet, Daniel L. & Parmeter, Christopher F. & Price, Michael K., 2012. "Empirical implementation of nonparametric first-price auction models," Journal of Econometrics, Elsevier, vol. 168(1), pages 17-28.
    See citations under working paper version above.
  23. Henderson, Daniel J. & Parmeter, Christopher F., 2012. "Canonical higher-order kernels for density derivative estimation," Statistics & Probability Letters, Elsevier, vol. 82(7), pages 1383-1387.
    See citations under working paper version above.
  24. Daniel J. Henderson & Chris Papageorgiou & Christopher F. Parmeter, 2012. "Growth Empirics without Parameters," Economic Journal, Royal Economic Society, vol. 122(559), pages 125-154, March.

    Cited by:

    1. Md. Rabiul Islam, 2010. "Quality-adjusted Human Capital and Productivity Growth," Monash Economics Working Papers 48-10, Monash University, Department of Economics.
    2. Marcos Sanso-Navarro & María Vera-Cabello, 2015. "Non-linearities in regional growth: A non-parametric approach," Papers in Regional Science, Wiley Blackwell, vol. 94, pages 19-38, November.
    3. Michael S. Delgado & Daniel J. Henderson & Christopher F. Parmeter, 2014. "Does Education Matter for Economic Growth?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(3), pages 334-359, June.
    4. Wang, Le, 2012. "Estimating Returns to Education when the IV Sample is Selective," IZA Discussion Papers 7103, Institute of Labor Economics (IZA).
    5. Marijn Verschelde & Michel Dumont & Glenn Rayp & Bruno Merlevede, 2015. "Semiparametric stochastic metafrontier efficiency of European manufacturing firms," Post-Print hal-01563023, HAL.
    6. Theo S. Eicher & David J. Kuenzel, 2016. "The elusive effects of trade on growth: Export diversity and economic take-off," Canadian Journal of Economics, Canadian Economics Association, vol. 49(1), pages 264-295, February.
    7. Patrick IMAM & Roland Kangni KPODAR, 2018. "Does an Inclusive Citizenship Law Promote Economic Development?," Working Papers P244, FERDI.
    8. Jesús Peiró-Palomino, 2016. "Social Capital and Economic Growth in Europe: Nonlinear Trends and Heterogeneous Regional Effects," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(5), pages 717-751, October.
    9. Jesús Peiró-Palomino & Anabel Forte Deltell, 2013. "Does social capital matter for European regional growth?," Working Papers 2013/02, Economics Department, Universitat Jaume I, Castellón (Spain).
    10. Jeffrey S. Racine & Christopher F. Parmeter, 2012. "Data-Driven Model Evaluation: A Test for Revealed Performance," Department of Economics Working Papers 2012-13, McMaster University.
    11. Stolzenburg, Ulrich, 2014. "Growth determinants across time and space: A semiparametric panel data approach," Economics Working Papers 2014-11, Christian-Albrechts-University of Kiel, Department of Economics.
    12. 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.
    13. Jetter, Michael & Nikolsko-Rzhevskyy, Alex & Smith, William T., 2013. "The effects of wage volatility on growth," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 93-109.
    14. Henderson, Daniel J. & Qian, Junhui & Wang, Le, 2015. "The Inequality-Growth Plateau," IZA Discussion Papers 8771, Institute of Labor Economics (IZA).
    15. Arribas, Iván & Peiró-Palomino, Jesús & Tortosa-Ausina, Emili, 2020. "Is full banking integration desirable?," Journal of Banking & Finance, Elsevier, vol. 112(C).
    16. Thibaut Dort & Pierre-Guillaume Méon & Khalid Sekkat, 2013. "Does investment spur growth everywhere? Not where institutions are weak," Working Papers CEB 13-030, ULB -- Universite Libre de Bruxelles.
    17. G. Ardizzi & F. Crudu & C. Petraglia, 2015. "The Impact of Electronic Payments on Bank Cost Efficiency: Nonparametric Evidence," Working Paper CRENoS 201517, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    18. Wacker, Konstantin M., 2013. "On the measurement of foreign direct investment and its relationship to activities of multinational corporations," Working Paper Series 1614, European Central Bank.
    19. Jakob B. MADSEN & James B. ANG, 2014. "Finance-Led Growth in the OECD since the 19th century: How Does Financial Development Transmit To Growth?," Economic Growth Centre Working Paper Series 1408, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    20. Islam, Md. Rabiul & Madsen, Jakob B. & Raschky, Paul A., 2015. "Gold and silver mining in the 16th and 17th centuries, land titles and agricultural productivity," European Journal of Political Economy, Elsevier, vol. 39(C), pages 150-166.
    21. Camarero, Mariam & Peiró-Palomino, Jesús & Tamarit, Cecilio, 2019. "Growth in a time of external imbalances," Economic Modelling, Elsevier, vol. 79(C), pages 262-275.
    22. Lkhagva Gerelmaa & Koji Kotani, 2013. "Further investigation of natural resources and economic growth: Do natural resources depress economic growth?," Working Papers EMS_2013_07, Research Institute, International University of Japan.
    23. Tuominen Elina, 2016. "Top-end inequality and growth: Empirical evidence," Working Papers 1608, Tampere University, Faculty of Management and Business, Economics.
    24. : Daniel J. Henderson & Chris Papageorgiou & Christopher F. Parmeter, 2012. "Who Benefits from Financial Development? New Methods, New Evidence," Working Papers 2013-07, University of Miami, Department of Economics.
    25. Cai, Zongwu & Chen, Linna & Fang, Ying, 2018. "A semiparametric quantile panel data model with an application to estimating the growth effect of FDI," Journal of Econometrics, Elsevier, vol. 206(2), pages 531-553.
    26. Mustafa Koroglu, 2019. "Growth and Debt: An Endogenous Smooth Coefficient Approach," JRFM, MDPI, vol. 12(1), pages 1-22, February.
    27. Peiró-Palomino, Jesús & Tortosa-Ausina, Emili, 2013. "Can trust effects on development be generalized? A response by quantile," European Journal of Political Economy, Elsevier, vol. 32(C), pages 377-390.
    28. Michele Battisti & Massimo Del Gatto & Christopher F. Parmeter, 2018. "Labor productivity growth: disentangling technology and capital accumulation," Journal of Economic Growth, Springer, vol. 23(1), pages 111-143, March.
    29. Theo Eicher & Cecilia Garcia-Peñalosa & David Kuenzel, 2018. "Constitutional rules as determinants of social infrastructure," Post-Print hal-01981017, HAL.
    30. Chandan Sharma & Ritesh Kumar Mishra, 2022. "On the Good and Bad of Natural Resource, Corruption, and Economic Growth Nexus," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(4), pages 889-922, August.
    31. Wen-Shuenn Deng & Yi-Chen Lin, 2013. "Parameter heterogeneity in the foreign direct investment-income inequality relationship: a semiparametric regression analysis," Empirical Economics, Springer, vol. 45(2), pages 845-872, October.
    32. Marcos Sanso-Navarro & Maria Vera-Cabello, 2015. "The effects of knowledge and innovation on regional growth: Nonparametric evidence," ERSA conference papers ersa15p949, European Regional Science Association.
    33. Kaul, Sapna & Boyle, Kevin J. & Kuminoff, Nicolai V. & Parmeter, Christopher F. & Pope, Jaren C., 2013. "What can we learn from benefit transfer errors? Evidence from 20 years of research on convergent validity," Journal of Environmental Economics and Management, Elsevier, vol. 66(1), pages 90-104.
    34. Das, Monica & Basu, Sudip Ranjan, 2022. "Understanding the relationship between income inequality and pollution: A fresh perspective with cross-country evidence," World Development Perspectives, Elsevier, vol. 26(C).
    35. Xing Yu & Yanyan Li & Xinxin Wang, 2024. "RMB exchange rate forecasting using machine learning methods: Can multimodel select powerful predictors?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(3), pages 644-660, April.
    36. Andini, Monica & Andini, Corrado, 2014. "Finance, growth and quantile parameter heterogeneity," Journal of Macroeconomics, Elsevier, vol. 40(C), pages 308-322.
    37. Theo S. Eicher & David J. Kuenzel, 2017. "European Influence and Economic Development," Wesleyan Economics Working Papers 2017-002, Wesleyan University, Department of Economics.
    38. Mariam Camarero & Jesús Peiró-Palomino & Cecilio Tamarit, 2018. "External imbalances and growth," Working Papers 1808, Department of Applied Economics II, Universidad de Valencia.
    39. Michele Battisti & Christopher F. Parmeter, 2011. "Income Polarization, Convergence Tools and Mixture Analysis," Working Papers 2011-17, University of Miami, Department of Economics.
    40. Lee, Chi-Chuan & Lee, Chien-Chiang & Chiou, Yan-Yu, 2017. "Insurance activities, globalization, and economic growth: New methods, new evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 155-170.
    41. Haupt, Harry & Schnurbus, Joachim & Semmler, Willi, 2018. "Estimation of grouped, time-varying convergence in economic growth," Econometrics and Statistics, Elsevier, vol. 8(C), pages 141-158.
    42. Battisti, Michele & Parmeter, Christopher F., 2013. "Clustering and polarization in the distribution of output: A multivariate perspective," Journal of Macroeconomics, Elsevier, vol. 35(C), pages 144-162.
    43. Michael O'Hara & Christopher F. Parmeter, 2013. "Nonparametric Generalized Least Squares in Applied Regression Analysis," Pacific Economic Review, Wiley Blackwell, vol. 18(4), pages 456-474, October.
    44. Amini, Shahram & Battisti, Michele & Parmeter, Christopher F., 2017. "Decomposing changes in the conditional variance of GDP over time," Economic Modelling, Elsevier, vol. 61(C), pages 376-387.
    45. Daniel J. Henderson & Christopher F. Parmeter & Liangjun Su, 2017. "M-Estimation of a Nonparametric Threshold Regression Model," Working Papers 2017-15, University of Miami, Department of Economics.
    46. Walheer, Barnabé, 2021. "Labor productivity and technology heterogeneity," Journal of Macroeconomics, Elsevier, vol. 68(C).

  25. Oleg Badunenko & Daniel J. Henderson & Subal C. Kumbhakar, 2012. "When, where and how to perform efficiency estimation," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(4), pages 863-892, October.
    See citations under working paper version above.
  26. Henderson, Daniel J. & Parmeter, Christopher F., 2012. "Normal reference bandwidths for the general order, multivariate kernel density derivative estimator," Statistics & Probability Letters, Elsevier, vol. 82(12), pages 2198-2205.
    See citations under working paper version above.
  27. Henderson, Daniel J. & Kumbhakar, Subal C. & Parmeter, Christopher F., 2012. "A simple method to visualize results in nonlinear regression models," Economics Letters, Elsevier, vol. 117(3), pages 578-581.
    See citations under working paper version above.
  28. Kai Sun & Daniel J. Henderson & Subal C. Kumbhakar, 2011. "Biases in approximating log production," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(4), pages 708-714, June.
    See citations under working paper version above.
  29. Henderson, Daniel J. & Polachek, Solomon W. & Wang, Le, 2011. "Heterogeneity in schooling rates of return," Economics of Education Review, Elsevier, vol. 30(6), pages 1202-1214.
    See citations under working paper version above.
  30. Eren, Ozkan & Henderson, Daniel J., 2011. "Are we wasting our children's time by giving them more homework?," Economics of Education Review, Elsevier, vol. 30(5), pages 950-961, October.
    See citations under working paper version above.
  31. Daniel J. Henderson, 2010. "A test for multimodality of regression derivatives with application to nonparametric growth regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(3), pages 458-480.
    See citations under working paper version above.
  32. Daniel J. Henderson, 2009. "A Non‐parametric Examination of Capital–Skill Complementarity," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(4), pages 519-538, August.
    See citations under working paper version above.
  33. Oleg Badunenko & Daniel J. Henderson & Valentin Zelenyuk, 2008. "Technological Change and Transition: Relative Contributions to Worldwide Growth During the 1990s," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(4), pages 461-492, August.
    See citations under working paper version above.
  34. Ozkan Eren & Daniel J. Henderson, 2008. "The impact of homework on student achievement," Econometrics Journal, Royal Economic Society, vol. 11(2), pages 326-348, July.
    See citations under working paper version above.
  35. Daniel J. Henderson & Christopher F. Parmeter & R. Robert Russell, 2008. "Modes, weighted modes, and calibrated modes: evidence of clustering using modality tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(5), pages 607-638.

    Cited by:

    1. Md. Rabiul Islam, 2010. "Quality-adjusted Human Capital and Productivity Growth," Monash Economics Working Papers 48-10, Monash University, Department of Economics.
    2. Nalan Basturk & Jamie Cross & Peter de Knijff & Lennart Hoogerheide & Paul Labonne & Herman K van Dijk, 2023. "BayesMultiMode: Bayesian Mode Inference in R," Tinbergen Institute Discussion Papers 23-041/III, Tinbergen Institute.
    3. Juessen Falko, 2005. "A distribution dynamics approach to regional GDP convergence in reunified Germany," Urban/Regional 0506008, University Library of Munich, Germany.
    4. Davide Fiaschi & Andrea Mario Lavezzi & Angela Parenti, 2020. "Deep and Proximate Determinants of the World Income Distribution," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(3), pages 677-710, September.
    5. Garance Genicot & Debraj Ray, 2014. "Aspirations and Inequality," NBER Working Papers 19976, National Bureau of Economic Research, Inc.
    6. McAdam, Peter & Christopoulos, Dimitris, 2015. "Efficiency, Inefficiency and the MENA Frontier," Working Paper Series 1757, European Central Bank.
    7. Davide Fiaschi & Andrea Mario Lavezzi & Angela Parenti, 2013. "On the Determinants of Distribution Dynamics," Discussion Papers 2013/165, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    8. Fabrice Defever & Alejandro Riaño, 2017. "Twin peaks," CEP Discussion Papers dp1505, Centre for Economic Performance, LSE.
    9. Walheer, Barnabé, 2016. "Growth and convergence of the OECD countries: A multi-sector production-frontier approach," European Journal of Operational Research, Elsevier, vol. 252(2), pages 665-675.
    10. Henderson, Daniel J., 2008. "A Test for Multimodality of Regression Derivatives with an Application to Nonparametric Growth Regressions," MPRA Paper 8768, University Library of Munich, Germany.
    11. Suren Basov & Svetlana Danilkina & David Prentice, 2008. "When does Variety increase with Quality?," Working Papers 2008.04, School of Economics, La Trobe University.
    12. Khan, Haider & Schettino, Francesco & Gabriele, Alberto, 2017. "Polarization and the Middle Class in China: a Non-Parametric Evaluation Using CHNS and CHIP Data," MPRA Paper 85555, University Library of Munich, Germany.
    13. Paul Johnson & Chris Papageorgiou, 2020. "What Remains of Cross-Country Convergence?," Journal of Economic Literature, American Economic Association, vol. 58(1), pages 129-175, March.
    14. Barnabé Walheer, 2016. "Multi-Sector Nonparametric Production-Frontier Analysis of the Economic Growth and the Convergence of the European Countries," Pacific Economic Review, Wiley Blackwell, vol. 21(4), pages 498-524, October.
    15. Walheer, Barnabé, 2018. "Labour productivity growth and energy in Europe: A production-frontier approach," Energy, Elsevier, vol. 152(C), pages 129-143.
    16. Oleg Badunenko & Daniel J. Henderson & Valentin Zelenyuk, 2017. "The Productivity of Nations," Working Papers in Economics & Finance 2017-05, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    17. Andreas Eder & Wolfgang Koller & Bernhard Mahlberg, 2024. "The contribution of industrial robots to labor productivity growth and economic convergence: a production frontier approach," Journal of Productivity Analysis, Springer, vol. 61(2), pages 157-181, April.
    18. Clementi, F. & Schettino, F., 2013. "Income polarization in Brazil, 2001-2011: A distributional analysis using PNAD data," 2013 Second Congress, June 6-7, 2013, Parma, Italy 149891, Italian Association of Agricultural and Applied Economics (AIEAA).
    19. F. Clementi & A. L. Dabalen & V. Molini & F. Schettino, 2017. "When the Centre Cannot Hold: Patterns of Polarization in Nigeria," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(4), pages 608-632, December.
    20. Henderson, Daniel J. & Tochkov, Kiril & Badunenko, Oleg, 2007. "A drive up the capital coast? Contributions to post-reform growth across Chinese provinces," Journal of Macroeconomics, Elsevier, vol. 29(3), pages 569-594, September.
    21. Gordon Anderson & Oliver Linton & Teng Leo, 2012. "A polarization-cohesion perspective on cross-country convergence," Journal of Economic Growth, Springer, vol. 17(1), pages 49-69, March.
    22. Giovanni Dosi & Andrea Roventini & Emanuele Russo, 2018. "Endogenous growth and global divergence in a multi-country agent-based model," Documents de Travail de l'OFCE 2018-02, Observatoire Francais des Conjonctures Economiques (OFCE).
    23. Oleg Badunenko & Daniel Henderson & R. Russell, 2013. "Polarization of the worldwide distribution of productivity," Journal of Productivity Analysis, Springer, vol. 40(2), pages 153-171, October.
    24. Kindberg-Hanlon,Gene & Okou,Cedric Iltis Finafa, 2020. "Productivity Convergence : Is Anyone Catching Up?," Policy Research Working Paper Series 9378, The World Bank.
    25. Alberto Cavallo & Roberto Rigobon, 2011. "The Distribution of the Size of Price Changes," NBER Working Papers 16760, National Bureau of Economic Research, Inc.
    26. Aparna Lolayekar & Pranab Mukhopadhyay, 2017. "Growth Convergence and Regional Inequality in India (1981–2012)," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 15(2), pages 307-328, June.
    27. Luca Fontanelli, 2023. "Theories of Market Selection: A Survey," GREDEG Working Papers 2023-08, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    28. Pittau, Maria Grazia & Zelli, Roberto & Johnson, Paul, "undated". "Mixture Models and Convergence Clubs," Vassar College Department of Economics Working Paper Series 91, Vassar College Department of Economics.
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    1. Marcelin, Isaac & Egbendewe, Aklesso Y.G. & Oloufade, Djoulassi K. & Sun, Wei, 2022. "Financial inclusion, bank ownership, and economy performance: Evidence from developing countries," Finance Research Letters, Elsevier, vol. 46(PA).
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    6. Shahbaz, Muhammad & Shafiullah, Muhammad & Papavassiliou, Vassilios & Hammoudeh, Shawkat, 2017. "The CO2-Growth nexus revisited: A nonparametric analysis for G7 economies over nearly two centuries," MPRA Paper 79019, University Library of Munich, Germany, revised 07 May 2017.
    7. Christopher F. Parmeter & Jeffrey S. Racine, 2018. "Nonparametric Estimation and Inference for Panel Data Models," Department of Economics Working Papers 2018-02, McMaster University.
    8. Aman Ullah & Yoonseok Lee & Debasri Mukherjee, 2018. "Nonparametric Estimation of the Marginal Effect in Fixed-Effect Panel Data Models," Working Papers 201901, University of California at Riverside, Department of Economics.
    9. Aman Ullah & Tao Wang & Weixin Yao, 2021. "Modal regression for fixed effects panel data," Empirical Economics, Springer, vol. 60(1), pages 261-308, January.
    10. Tae-Hwy Lee & Bai Huang & Aman Ullah, 2018. "Combined Estimation of Semiparametric Panel Data Models," Working Papers 201915, University of California at Riverside, Department of Economics.
    11. Su, Liangjun & Lu, Xun, 2013. "Nonparametric dynamic panel data models: Kernel estimation and specification testing," Journal of Econometrics, Elsevier, vol. 176(2), pages 112-133.
    12. Henderson, Daniel J., 2008. "A Test for Multimodality of Regression Derivatives with an Application to Nonparametric Growth Regressions," MPRA Paper 8768, University Library of Munich, Germany.
    13. Peter Pütz & Thomas Kneib, 2018. "A penalized spline estimator for fixed effects panel data models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 102(2), pages 145-166, April.
    14. Annegues, Ana Claudia & Rodrigues de Oliveira, Victor & Souza, Wallace Patrick Santos de Farias, 2017. "Thoughts on the inequality of opportunities: new evidence," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), April.
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    16. Henderson, Daniel J. & Kumbhakar, Subal C. & Li, Qi & Parmeter, Christopher F., 2015. "Smooth coefficient estimation of a seemingly unrelated regression," Journal of Econometrics, Elsevier, vol. 189(1), pages 148-162.
    17. Daniel Wilhelm, 2015. "Identification and estimation of nonparametric panel data regressions with measurement error," CeMMAP working papers 34/15, Institute for Fiscal Studies.
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    2. Teuber, Ramona, 2010. "Estimating the Demand for Sensory Quality – Theoretical Considerations and an Empirical Application to Specialty Coffee," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 59(03), pages 1-14, September.
    3. Teuber, Ramona, 2010. "Estimating the Demand for Sensory Quality - Theoretical Considerations and an Empirical Application to Specialty Coffee," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 59(3), pages 173-186.
    4. Jens Kolbe & Rainer Schulz & Martin Wersing & Axel Werwatz, 2021. "Real estate listings and their usefulness for hedonic regressions," Empirical Economics, Springer, vol. 61(6), pages 3239-3269, December.
    5. Carlos Felipe Balcázar & Lidia Ceriani & Sergio Olivieri & Marco Ranzani, 2017. "Rent‐Imputation for Welfare Measurement: A Review of Methodologies and Empirical Findings," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(4), pages 881-898, December.
    6. Abbott, Joshua K. & Allen Klaiber, H., 2013. "The value of water as an urban club good: A matching approach to community-provided lakes," Journal of Environmental Economics and Management, Elsevier, vol. 65(2), pages 208-224.
    7. Wolfgang Brunauer & Stefan Lang & Peter Wechselberger & Sven Bienert, 2008. "Additive Hedonic Regression Models with Spatial Scaling Factors: An Application for Rents in Vienna," Working Papers 2008-17, Faculty of Economics and Statistics, Universität Innsbruck.
    8. Christophe Bontemps & Michel Simioni & Yves Surry, 2008. "Semiparametric hedonic price models: assessing the effects of agricultural nonpoint source pollution," Post-Print hal-02661292, HAL.
    9. Dachary-Bernard, Jeanne & Rambonilaza, Tina & Lemarié-Boutry, Marie, 2014. "The response of land markets to flood protection and flood experience: a hedonic price modeling on the Gironde estuary (France)," 88th Annual Conference, April 9-11, 2014, AgroParisTech, Paris, France 169761, Agricultural Economics Society.
    10. Fezzi, Carlo & Bateman, Ian J., 2013. "The Impact of Climate Change on Agriculture: Nonlinear Effects and Aggregation Bias in Ricardian Models of Farm Land Values," Climate Change and Sustainable Development 162377, Fondazione Eni Enrico Mattei (FEEM).
    11. Gaetano Lisi, 2019. "Hedonic pricing models and residual house price volatility," Letters in Spatial and Resource Sciences, Springer, vol. 12(2), pages 133-142, August.
    12. Jeanne Dachary-Bernard & Frédéric Gaschet & Sandrine Lyser & Guillaume Pouyanne & Stéphane Virol, 2011. "L'impact de la littoralisation sur les marchés fonciers : une approche comparative des côtes basque et charentaise," Post-Print hal-00688634, HAL.
    13. Valentin Zelenyuk & Leopold Simar, 2011. "To Smooth or Not to Smooth? The Case of Discrete Variables in Nonparametric Regressions," CEPA Working Papers Series WP102011, School of Economics, University of Queensland, Australia.
    14. Lisi, Gaetano, 2012. "On the theoretical derivation of a functional form for the hedonic price function," MPRA Paper 37066, University Library of Munich, Germany.
    15. Jeffrey S. Racine & Christopher F. Parmeter, 2012. "Data-Driven Model Evaluation: A Test for Revealed Performance," Department of Economics Working Papers 2012-13, McMaster University.
    16. Vijverberg, Wim P. & Hasebe, Takuya, 2015. "GTL Regression: A Linear Model with Skewed and Thick-Tailed Disturbances," IZA Discussion Papers 8898, Institute of Labor Economics (IZA).
    17. Harry Haupt & Joachim Schnurbus & Rolf Tschernig, 2010. "On nonparametric estimation of a hedonic price function," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(5), pages 894-901.
    18. Gibbons, Stephen & Mourato, Susana & Resende, Guilherme, 2011. "The amenity value of English nature: a hedonic price approach," LSE Research Online Documents on Economics 33594, London School of Economics and Political Science, LSE Library.
    19. Li, Degui & Simar, Leopold & Zelenyuk, Valentin, 2016. "Generalized nonparametric smoothing with mixed discrete and continuous data," LIDAM Reprints ISBA 2016020, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    20. Delgado, Michael S. & Harriger, Jessica L. & Khanna, Neha, 2015. "The value of environmental status signaling," Ecological Economics, Elsevier, vol. 111(C), pages 1-11.
    21. Christopher F. Parmeter & Jaren C. Pope, 2013. "Quasi-experiments and hedonic property value methods," Chapters, in: John A. List & Michael K. Price (ed.), Handbook on Experimental Economics and the Environment, chapter 1, pages 3-66, Edward Elgar Publishing.
    22. Christian Almer & Stefan Boes & Stephan Nüesch, 2017. "Adjustments in the housing market after an environmental shock: evidence from a large-scale change in aircraft noise exposure," Oxford Economic Papers, Oxford University Press, vol. 69(4), pages 918-938.
    23. W. Brunauer & S. Lang & P. Wechselberger & S. Bienert, 2010. "Additive Hedonic Regression Models with Spatial Scaling Factors: An Application for Rents in Vienna," The Journal of Real Estate Finance and Economics, Springer, vol. 41(4), pages 390-411, November.
    24. Matthew Gnagey & Therese Grijalva, 2018. "The impact of trails on property values: a spatial analysis," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(1), pages 73-97, January.
    25. Delgado, Michael S. & Guilfoos, Todd & Boslett, Andrew, 2016. "The cost of unconventional gas extraction: A hedonic analysis," Resource and Energy Economics, Elsevier, vol. 46(C), pages 1-22.
    26. Olayiwola Oladiran & Ajayi Saheed & Sunmoni Adesola, 2021. "What Property Attributes are Important to UK University Students in their Online Accommodation Search?," ERES eres2021_196, European Real Estate Society (ERES).
    27. Gaetano Lisi & Mauro Iacobini, 2013. "Real estate appraisals, hedonic models and the measurement of house price dispersion," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 56(1), pages 61-73.
    28. Yu, Peiyong, 2015. "The Effect of Eminent Domain on Private and Mixed Development on Property Values," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 45(2).
    29. Ong C. & Witte K. de, 2013. "Ethnic segregation and heterogeneous preferences of homeowners for housing and neighbourhood characteristics : evidence from the Netherlands," MERIT Working Papers 2013-061, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    30. Fritsch, Markus & Haupt, Harry & Ng, Pin T., 2016. "Urban house price surfaces near a World Heritage Site: Modeling conditional price and spatial heterogeneity," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 260-275.
    31. Yoo, James & Simonit, Silvio & Connors, John P. & Maliszewski, Paul J. & Kinzig, Ann P. & Perrings, Charles, 2013. "The value of agricultural water rights in agricultural properties in the path of development," Ecological Economics, Elsevier, vol. 91(C), pages 57-68.
    32. Lin, Wei & Cai, Zongwu & Li, Zheng & Su, Li, 2015. "Optimal smoothing in nonparametric conditional quantile derivative function estimation," Journal of Econometrics, Elsevier, vol. 188(2), pages 502-513.
    33. Malikov, Emir & Sun, Yiguo, 2017. "Semiparametric Estimation and Testing of Smooth Coefficient Spatial Autoregressive Models," MPRA Paper 77253, University Library of Munich, Germany.
    34. Henderson, Daniel J. & Li, Qi & Parmeter, Christopher F. & Yao, Shuang, 2015. "Gradient-based smoothing parameter selection for nonparametric regression estimation," Journal of Econometrics, Elsevier, vol. 184(2), pages 233-241.
    35. Hyung-Gun Kim & Kwong-Chin Hung & Sung Park, 2015. "Determinants of Housing Prices in Hong Kong: A Box-Cox Quantile Regression Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 50(2), pages 270-287, February.
    36. Sumit Agarwal & Yanying Chen & Jing Li & Yi Jin Tan, 2021. "Hedonic Price of Housing Space," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(2), pages 574-609, June.
    37. Kuminoff, Nicolai V. & Parmeter, Christopher F. & Pope, Jaren C., 2008. "Hedonic Price Functions: Guidance On Empirical Specification," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6555, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    38. Alan T. K. Wan & Shangyu Xie & Yong Zhou, "undated". "A varying coefficient approach to estimating hedonic housing price functions and their quantiles," GRU Working Paper Series GRU_2016_003, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    39. Löchl, Michael & Axhausen, Kay W., 2010. "Modelling hedonic residential rents for land use and transport simulation while considering spatial effects," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(2), pages 39-63.
    40. Simlai, Prodosh, 2014. "Estimation of variance of housing prices using spatial conditional heteroskedasticity (SARCH) model with an application to Boston housing price data," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(1), pages 17-30.
    41. Mauro Iacobini & Gaetano Lisi, 2016. "Prezzi edonici delle caratteristiche abitative e analisi di regressione multipla: suggerimenti pratici per la stima," RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO, FrancoAngeli Editore, vol. 2016(2), pages 5-42.
    42. Rajapaksa, Darshana & Zhu, Min & Lee, Boon & Hoang, Viet-Ngu & Wilson, Clevo & Managi, Shunsuke, 2017. "The impact of flood dynamics on property values," Land Use Policy, Elsevier, vol. 69(C), pages 317-325.
    43. Christian Almer & Stefan Boes & Stephan Nuesch, 2013. "How do Housing Prices Adjust After an Environmental Shock? Evidence from a State-Mandated Change in Aircraft Noise Exposure," Department of Economics Working Papers 11/12, University of Bath, Department of Economics.
    44. Stéphane Virol & Guillaume Pouyanne & Sandrine Lyser & Frédéric Gaschet & Jeanne Dachary-Bernard, 2011. "L’impact de la littoralisation sur les marchés fonciers. Une approche comparative des côtes basque et charentaise," Économie et Statistique, Programme National Persée, vol. 444(1), pages 127-154.
    45. Quan Gan & Robert J. Hill, 2008. "A New Perspective on the Relationship Between House Prices and Income," Discussion Papers 2008-13, School of Economics, The University of New South Wales.

  39. Henderson, Daniel J. & Tochkov, Kiril & Badunenko, Oleg, 2007. "A drive up the capital coast? Contributions to post-reform growth across Chinese provinces," Journal of Macroeconomics, Elsevier, vol. 29(3), pages 569-594, September.

    Cited by:

    1. Chen, Jiandong & Xu, Chong & Huang, Shuo & Shen, Zhiyang & Song, Malin & Wang, Shiqi, 2022. "Adjusted carbon intensity in China: Trend, driver, and network," Energy, Elsevier, vol. 251(C).
    2. Walheer, Barnabé & He, Ming, 2020. "Technical efficiency and technology gap of the manufacturing industry in China: Does firm ownership matter?," World Development, Elsevier, vol. 127(C).
    3. Zekai He & Xiuzhen Shi & Xinhao Wang & Yuwei Xu, 2017. "Urbanisation and the geographic concentration of industrial SO2 emissions in China," Urban Studies, Urban Studies Journal Limited, vol. 54(15), pages 3579-3596, November.
    4. Oleg Badunenko & Daniel J. Henderson & Valentin Zelenyuk, 2017. "The Productivity of Nations," Working Papers in Economics & Finance 2017-05, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    5. Li, Man, 2010. "Decomposing the change of CO2 emissions in China: A distance function approach," Ecological Economics, Elsevier, vol. 70(1), pages 77-85, November.
    6. Mugera, Amin W. & Langemeier, Michael R., 2008. "Labor Productivity Growth And Convergence In The Kansas Farm Sector: A Tripartite Decomposition Using The Dea Approach," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6069, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. Hening Liu & Le Wang, 2010. "Time series analysis of income convergence in China," Applied Economics Letters, Taylor & Francis Journals, vol. 17(1), pages 25-29, January.
    8. Jiandong Chen & Chong Xu & Qianjiao Xie & Malin Song, 2020. "Net primary productivity‐based factors of China's carbon intensity: A regional perspective," Growth and Change, Wiley Blackwell, vol. 51(4), pages 1727-1748, December.
    9. Alexander Kopka & Dirk Fornahl, 2024. "Artificial intelligence and firm growth — catch-up processes of SMEs through integrating AI into their knowledge bases," Small Business Economics, Springer, vol. 62(1), pages 63-85, January.
    10. Diego Romero-Ávila, 2013. "Is Physical Investment The Key To China'S Growth Miracle?," Economic Inquiry, Western Economic Association International, vol. 51(4), pages 1948-1971, October.
    11. David A. Ralston & Carolyn P. Egri & Charlotte M. Karam & Yongjuan Li & Ping Ping Fu, 2018. "Changes in work values across the regions of China," Asia Pacific Journal of Management, Springer, vol. 35(1), pages 145-179, March.
    12. Davide Piacentino & Erasmo Vassallo, 2011. "Exploring the sources of labour productivity growth and convergence in the Italian regions: some evidence from a production frontier approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 46(2), pages 469-486, April.
    13. Jianxin Wu & Yanrui Wu & Bing Wang, 2018. "Local Government Debt, Factor Misallocation and Regional Economic Performance in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 26(4), pages 82-105, July.
    14. Oleg Badunenko & Kiril Tochkov, 2010. "Soaring dragons, roaring tigers, growling bears," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 18(3), pages 539-570, July.
    15. Wang, Chunhua, 2011. "Sources of energy productivity growth and its distribution dynamics in China," Resource and Energy Economics, Elsevier, vol. 33(1), pages 279-292, January.

  40. Daniel J. Henderson & Valentin Zelenyuk, 2007. "Testing for (Efficiency) Catching‐up," Southern Economic Journal, John Wiley & Sons, vol. 73(4), pages 1003-1019, April.

    Cited by:

    1. lo Storto, Corrado, 2024. "Measuring the eco-efficiency of municipal solid waste service: A fuzzy DEA model for handling missing data," Utilities Policy, Elsevier, vol. 86(C).

  41. Daniel J. Henderson & Daniel L. Millimet, 2007. "Pollution Abatement Costs and Foreign Direct Investment Inflows to U.S. States: A Nonparametric Reassessment," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 178-183, February.
    See citations under working paper version above.
  42. Daniel J. Henderson & Subal C. Kumbhakar, 2006. "Public and Private Capital Productivity Puzzle: A Nonparametric Approach," Southern Economic Journal, John Wiley & Sons, vol. 73(1), pages 219-232, July.

    Cited by:

    1. Elhadj Ezzahid & Hamid Rafik, 2024. "Analyzing the Impact of Public Capital on Private Capital Productivity in a Panel of African Nations," Economies, MDPI, vol. 12(5), pages 1-18, May.

  43. Daniel J. Henderson & Alexandre Olbrecht & Solomon W. Polachek, 2006. "Do Former College Athletes Earn More at Work?: A Nonparametric Assessment," Journal of Human Resources, University of Wisconsin Press, vol. 41(3).
    See citations under working paper version above.
  44. Henderson, Daniel J. & Ullah, Aman, 2005. "A nonparametric random effects estimator," Economics Letters, Elsevier, vol. 88(3), pages 403-407, September.

    Cited by:

    1. Christopher F. Parmeter & Jeffrey S. Racine, 2018. "Nonparametric Estimation and Inference for Panel Data Models," Department of Economics Working Papers 2018-02, McMaster University.
    2. Henderson, Daniel J., 2008. "A Test for Multimodality of Regression Derivatives with an Application to Nonparametric Growth Regressions," MPRA Paper 8768, University Library of Munich, Germany.
    3. DUo Qin & Yimeng Liu, 2013. "Modelling Scale Effect in Crosssection Data:The Case of Hedonic Price Regression," Working Papers 184, Department of Economics, SOAS University of London, UK.
    4. Henderson, Daniel J. & Kumbhakar, Subal C. & Li, Qi & Parmeter, Christopher F., 2015. "Smooth coefficient estimation of a seemingly unrelated regression," Journal of Econometrics, Elsevier, vol. 189(1), pages 148-162.
    5. Martins-Filho, Carlos & Yao, Feng, 2009. "Nonparametric regression estimation with general parametric error covariance," Journal of Multivariate Analysis, Elsevier, vol. 100(3), pages 309-333, March.
    6. Serfas, D., 2018. "an ex-post econometric analysis of the abolishment of the canadian wheat board," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277286, International Association of Agricultural Economists.
    7. Li, Gaorong & Peng, Heng & Tong, Tiejun, 2013. "Simultaneous confidence band for nonparametric fixed effects panel data models," Economics Letters, Elsevier, vol. 119(3), pages 229-232.
    8. Malikov, Emir & Kumbhakar, Subal C. & Sun, Yiguo, 2016. "Varying coefficient panel data model in the presence of endogenous selectivity and fixed effects," Journal of Econometrics, Elsevier, vol. 190(2), pages 233-251.
    9. Kusum Mundra, 2005. "Nonparametric Slope Estimators for Fixed-Effect Panel Data," Econometrics 0502008, University Library of Munich, Germany.
    10. Henderson, Daniel J. & Carroll, Raymond J. & Li, Qi, 2008. "Nonparametric estimation and testing of fixed effects panel data models," Journal of Econometrics, Elsevier, vol. 144(1), pages 257-275, May.
    11. M. Hamadi & A. Heinen, 2015. "Firm Performance when Ownership is very Concentrated: Evidence from a Semiparametric Panel," Working Paper CRENoS 201502, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    12. Ngwa Edielle, T. H. Jackson, 2006. "Soutenabilité des finances publiques au Cameroun : Approche de Bohn (1998) [Testing Fiscal sustainability in Cameroon : Approach of Bohn (1998)]," MPRA Paper 9738, University Library of Munich, Germany.
    13. Tomasz Czekaj & Arne Henningsen, 2013. "Panel Data Specifications in Nonparametric Kernel Regression: An Application to Production Functions," IFRO Working Paper 2013/5, University of Copenhagen, Department of Food and Resource Economics.
    14. Tomasz Gerard Czekaj & Arne Henningsen, 2012. "Comparing Parametric and Nonparametric Regression Methods for Panel Data: the Optimal Size of Polish Crop Farms," IFRO Working Paper 2012/12, University of Copenhagen, Department of Food and Resource Economics.
    15. Áron Horváth & Blanka Imre & Zoltán Sápi, 2016. "The International Practice of Statistical Property Valuation Methods and the Possibilities of Introducing Automated Valuation Models in Hungary," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 15(4), pages 45-64.
    16. Roberto BASILE & Bernard GRESS, 2005. "Semi-Parametric Spatial Auto-Covariance Models Of Regional Growth In Europe," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 21, pages 93-118.
    17. Jia Chen & Jiti Gao & Degui Li, 2013. "Estimation in Partially Linear Single-Index Panel Data Models With Fixed Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(3), pages 315-330, July.
    18. Roy, Nilanjana & Cornelis van Kooten, G., 2004. "Another look at the income elasticity of non-point source air pollutants: a semiparametric approach," Economics Letters, Elsevier, vol. 85(1), pages 17-22, October.
    19. Su, Liangjun & Ullah, Aman, 2007. "More efficient estimation of nonparametric panel data models with random effects," Economics Letters, Elsevier, vol. 96(3), pages 375-380, September.
    20. Francesco Bravo, 2016. "Local Information Theoretic Methods for smooth Coefficients Dynamic Panel Data Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(5), pages 690-708, September.
    21. Shujie Ma & Jeffrey S. Racine & Aman Ullah, 2015. "Nonparametric Regression-Spline Random Effects Models," Department of Economics Working Papers 2015-10, McMaster University.
    22. Skrypnik, D., 2024. "Infrastructure and economic growth in the context of the evolutionary theory of economic policy," Journal of the New Economic Association, New Economic Association, vol. 62(1), pages 117-142.
    23. Lai, Peng & Li, Gaorong & Lian, Heng, 2013. "Semiparametric estimation of fixed effects panel data single-index model," Statistics & Probability Letters, Elsevier, vol. 83(6), pages 1595-1602.
    24. Rodriguez-Poo, Juan M. & Soberón, Alexandra, 2015. "Nonparametric estimation of fixed effects panel data varying coefficient models," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 95-122.
    25. Li, Cong & Liang, Zhongwen, 2015. "Asymptotics for nonparametric and semiparametric fixed effects panel models," Journal of Econometrics, Elsevier, vol. 185(2), pages 420-434.
    26. Bester, C. Alan & Hansen, Christian B., 2016. "Grouped effects estimators in fixed effects models," Journal of Econometrics, Elsevier, vol. 190(1), pages 197-208.
    27. Suigen Yang & Xiujuan Yang & Xuefei Wang, 2024. "Estimation and Simultaneous Confidence Bands for Fixed-Effects Panel Data Partially Linear Models," Mathematics, MDPI, vol. 12(23), pages 1-18, November.
    28. Gholamreza Hajargasht, 2009. "Nonparametric Panel Data Models, A Penalized Spline Approach," CEPA Working Papers Series WP052009, School of Economics, University of Queensland, Australia.

  45. Henderson, Daniel J. & Millimet, Daniel L., 2005. "Environmental regulation and US state-level production," Economics Letters, Elsevier, vol. 87(1), pages 47-53, April.

    Cited by:

    1. Antoine Dechezleprêtre & Misato Sato, 2017. "The Impacts of Environmental Regulations on Competitiveness," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 11(2), pages 183-206.
    2. Deniz Baglan & Hakan Yilmazkuday, 2016. "Financial Health and the Intensive Margin of Trade," Working Papers 1607, Florida International University, Department of Economics.
    3. Chintrakarn, Pandej, 2008. "Environmental regulation and U.S. states' technical inefficiency," Economics Letters, Elsevier, vol. 100(3), pages 363-365, September.
    4. Yu Zhang & Jie Wang & Jiakai Chen & Weizhong Liu, 2023. "Does environmental regulation policy help improve business performance of manufacturing enterprises? evidence from China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(5), pages 4335-4364, May.
    5. Jean Joseph Minviel & Kristof De Witte, 2016. "The influence of public subsidies on farm technical efficiency: A robust conditional nonparametric approach," Working Papers SMART 16-10, INRAE UMR SMART.
    6. Dependra Bhatta & Krishna P. Paudel & Kai Liu, 2023. "Factors influencing water conservation practices adoptions by Nepali farmers," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 10879-10901, October.
    7. George Kassinis & Nikos Vafeas, 2007. "Interest group pressures and US county-level toxic emissions," Applied Economics Letters, Taylor & Francis Journals, vol. 14(10), pages 757-760.
    8. Millimet, Daniel L., 2013. "Environmental Federalism: A Survey of the Empirical Literature," IZA Discussion Papers 7831, Institute of Labor Economics (IZA).
    9. Philipp R. Steinbrunner, 2022. "Boon or bane? On productivity and environmental regulation," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 24(3), pages 365-396, July.

  46. Daniel J. Henderson & R. Robert Russell, 2005. "Human Capital And Convergence: A Production-Frontier Approach ," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 46(4), pages 1167-1205, November.

    Cited by:

    1. Kerstin Enflo & Per Hjertstrand, 2009. "Relative Sources of European Regional Productivity Convergence: A Bootstrap Frontier Approach," Regional Studies, Taylor & Francis Journals, vol. 43(5), pages 643-659.
    2. Valentin Zelenyuk, 2023. "Productivity analysis: roots, foundations, trends and perspectives," Journal of Productivity Analysis, Springer, vol. 60(3), pages 229-247, December.
    3. Kevin S. Nell & Maria M. De Mello, 2019. "The interdependence between the saving rate and technology across regimes: evidence from South Africa," Empirical Economics, Springer, vol. 56(1), pages 269-300, January.
    4. Eiji Yamamura, 2013. "Institution and decomposition of natural disaster impact on growth," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 40(6), pages 720-738, October.
    5. Md. Rabiul Islam, 2010. "Quality-adjusted Human Capital and Productivity Growth," Monash Economics Working Papers 48-10, Monash University, Department of Economics.
    6. Danish Ahmed SIDDIQUI & Qazi Masood AHMED, 2019. "Are institutions a crucial determinant of cross country economic efficiency? A two-stage double bootstrap data envelopment analysis," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(1(618), S), pages 89-114, Spring.
    7. Johnson, Paul, 2003. "A Continuous State Space Approach to “Convergence by Parts”," Vassar College Department of Economics Working Paper Series 54, Vassar College Department of Economics.
    8. Juessen Falko, 2005. "A distribution dynamics approach to regional GDP convergence in reunified Germany," Urban/Regional 0506008, University Library of Munich, Germany.
    9. David Forrest & J. D. Tena & Carlos Varela-Quintana, 2023. "The influence of schooling on performance in chess and at the Olympics," Empirical Economics, Springer, vol. 64(2), pages 959-982, February.
    10. R. Robert Russell & William Schworm, 2007. "Axiomatic Foundations of Efficiency Measurement on Data-Generated Technologies," Discussion Papers 2007-35, School of Economics, The University of New South Wales.
    11. Yamamura, Eiji & Shin, Inyong, 2008. "The benefit of efficiency improvement on growth and convergence: A study using Japan panel data," Economics Letters, Elsevier, vol. 99(1), pages 209-211, April.
    12. Duygun, Meryem & Hao, Jiaqi & Isaksson, Anders & Sickles, Robin C., 2015. "World Productivity Growth: A Model Averaging Approach," Working Papers 15-011, Rice University, Department of Economics.
    13. Mastromarco, Camilla & Simar, Léopold, 2021. "Latent heterogeneity to evaluate the effect of human capital on world technology frontier," LIDAM Reprints ISBA 2021009, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    14. Jens J. Krüger, 2020. "Long‐run productivity trends: A global update with a global index," Review of Development Economics, Wiley Blackwell, vol. 24(4), pages 1393-1412, November.
    15. Hou, Zhezhi & Jin, Man & Kumbhakar, Subal C., 2020. "Productivity spillovers and human capital: A semiparametric varying coefficient approach," European Journal of Operational Research, Elsevier, vol. 287(1), pages 317-330.
    16. Davide Fiaschi & Andrea Mario Lavezzi & Angela Parenti, 2020. "Deep and Proximate Determinants of the World Income Distribution," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(3), pages 677-710, September.
    17. Oleg Badunenko & Daniel J. Henderson & Subal C. Kumbhakar, 2011. "When, where and how to perform efficiency estimation," Cologne Graduate School Working Paper Series 02-06, Cologne Graduate School in Management, Economics and Social Sciences.
    18. Davide Fiaschi & Andrea Mario Lavezzi & Angela Parenti, 2013. "On the Determinants of Distribution Dynamics," Discussion Papers 2013/165, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    19. Walheer, Barnabé, 2016. "Growth and convergence of the OECD countries: A multi-sector production-frontier approach," European Journal of Operational Research, Elsevier, vol. 252(2), pages 665-675.
    20. Rolf Färe & Valentin Zelenyuk, 2021. "On aggregation of multi-factor productivity indexes," Journal of Productivity Analysis, Springer, vol. 55(2), pages 107-133, April.
    21. Oleg Badunenko & Daniel Henderson & Romain Houssa, 2014. "Significant drivers of growth in Africa," Journal of Productivity Analysis, Springer, vol. 42(3), pages 339-354, December.
    22. Daniel J. Henderson & Christopher F. Parmeter & R. Robert Russell, 2008. "Modes, weighted modes, and calibrated modes: evidence of clustering using modality tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(5), pages 607-638.
    23. Henderson, Daniel J., 2008. "A Test for Multimodality of Regression Derivatives with an Application to Nonparametric Growth Regressions," MPRA Paper 8768, University Library of Munich, Germany.
    24. Sumbal Fatima & Bateer Chen & Muhammad Ramzan & Qamar Abbas, 2020. "The Nexus Between Trade Openness and GDP Growth: Analyzing the Role of Human Capital Accumulation," SAGE Open, , vol. 10(4), pages 21582440209, November.
    25. Chintrakarn, Pandej, 2008. "Environmental regulation and U.S. states' technical inefficiency," Economics Letters, Elsevier, vol. 100(3), pages 363-365, September.
    26. Afonso, António & St. Aubyn, Miguel, 2010. "Public and private inputs in aggregate production and growth: a cross-country efficiency approach," Working Paper Series 1154, European Central Bank.
    27. Tero Kuusi, 2015. "The dynamics of ICT adaptation and the productivity gaps across advanced nations," Journal of Productivity Analysis, Springer, vol. 44(2), pages 175-188, October.
    28. Kerekes, Monika, 2007. "Analyzing patterns of economic growth: a production frontier approach," Discussion Papers 2007/15, Free University Berlin, School of Business & Economics.
    29. Claudia Curi & Paolo Guarda & Valentin Zelenyuk, 2011. "Changes in bank specialisation: comparing foreign subsidiaries and branches in Luxembourg," BCL working papers 67, Central Bank of Luxembourg.
    30. Salinas-Jimenez, M Mar & Alvarez-Ayuso, Inmaculada & Delgado-Rodriguez, M Jesus, 2006. "Capital accumulation and TFP growth in the EU: A production frontier approach," Journal of Policy Modeling, Elsevier, vol. 28(2), pages 195-205, February.
    31. Mastromarco, Camilla & Simar, Leopold, 2018. "Globalization and productivity: A robust nonparametric world frontier analysis," LIDAM Reprints ISBA 2018008, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    32. Romain Houssa & Oleg Badunenko & Daniel J. Henderson, 2010. "Explaining African Growth Performance: A Production-Frontier Approach," Working Papers 1013, University of Namur, Department of Economics.
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    165. Rolf Färe & Valentin Zelenyuk, 2020. "POn Fisher Aggregation of Multi-factor Productivity Indexes," CEPA Working Papers Series WP082020, School of Economics, University of Queensland, Australia.
    166. Song, Malin & Peng, Jun & Wang, Jianlin & Zhao, Jiajia, 2018. "Environmental efficiency and economic growth of China: A Ray slack-based model analysis," European Journal of Operational Research, Elsevier, vol. 269(1), pages 51-63.
    167. Wang, Chunhua, 2013. "Changing energy intensity of economies in the world and its decomposition," Energy Economics, Elsevier, vol. 40(C), pages 637-644.
    168. Ting Li Liu & Muhammad Mateen Naveed & Sohaib Mustafa & Muhammad Tahir Naveed, 2024. "Analysing the impact of digital technology diffusion on the efficiency and convergence process of the commercial banking industry of Pakistan," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-27, December.
    169. Barnabé Walheer, 2019. "Scale, congestion, and technical efficiency of European countries: a sector-based nonparametric approach," Empirical Economics, Springer, vol. 56(6), pages 2025-2078, June.

Chapters

  1. Daniel J. Henderson & Christopher F. Parmeter, 2016. "Model Averaging Over Nonparametric Estimators," Advances in Econometrics, in: Essays in Honor of Aman Ullah, volume 36, pages 539-560, Emerald Group Publishing Limited.

    Cited by:

    1. Yongmiao Hong & Tae-Hwy Lee & Yuying Sun & Shouyang Wang & Xinyu Zhang, 2017. "Time-varying Model Averaging," Working Papers 202001, University of California at Riverside, Department of Economics.
    2. Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
    3. Liu, Chu-An, 2018. "Averaging estimators for kernel regressions," Economics Letters, Elsevier, vol. 171(C), pages 102-105.

  2. Shahram Amini & Michael S. Delgado & Daniel J. Henderson & Christopher F. Parmeter, 2012. "Fixed vs Random: The Hausman Test Four Decades Later," Advances in Econometrics, in: Essays in Honor of Jerry Hausman, pages 479-513, Emerald Group Publishing Limited.

    Cited by:

    1. Puig, Francisco & Debón, Ana & Cantarero, Santiago & Marques, Helena, 2023. "Location, profitability, and international trade liberalization in European textile-clothing firms," Economic Modelling, Elsevier, vol. 129(C).

  3. Daniel J. Henderson & Christopher F. Parmeter, 2009. "Imposing economic constraints in nonparametric regression: survey, implementation, and extension," Advances in Econometrics, in: Nonparametric Econometric Methods, pages 433-469, Emerald Group Publishing Limited.
    See citations under working paper version above.

Books

  1. Henderson,Daniel J. & Parmeter,Christopher F., 2015. "Applied Nonparametric Econometrics," Cambridge Books, Cambridge University Press, number 9780521279680, November.

    Cited by:

    1. David H. Bernstein & Christopher F. Parmeter, 2017. "Returns to Scale in Electricity Generation: Revisited and Replicated," Working Papers 2017-08, University of Miami, Department of Economics.
    2. Almeida, Alexandre N. & Bravo-Ureta, Boris E., 2019. "Agricultural productivity, shadow wages and off-farm labor decisions in Nicaragua," Economic Systems, Elsevier, vol. 43(1), pages 99-110.
    3. Effiong, Ekpeno L. & Asuquo, Emmanuel E., 2016. "Migrants' Remittances, Governance and Heterogeneity," MPRA Paper 74753, University Library of Munich, Germany.
    4. Battisti, Michele & Gatto, Massimo Del & Parmeter, Christopher F., 2022. "Skill-biased technical change and labor market inefficiency," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    5. Fernando Rios-Avila, 2020. "Smooth varying-coefficient models in Stata," Stata Journal, StataCorp LP, vol. 20(3), pages 647-679, September.
    6. Töpfer, Marina, 2017. "Detailed RIF decomposition with selection: The gender pay gap in Italy," Hohenheim Discussion Papers in Business, Economics and Social Sciences 26-2017, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    7. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances II," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 9, pages 371-408, Springer.
    8. Christopher F. Parmeter & Jeffrey S. Racine, 2018. "Nonparametric Estimation and Inference for Panel Data Models," Department of Economics Working Papers 2018-02, McMaster University.
    9. Layer, Kevin & Johnson, Andrew L. & Sickles, Robin C. & Ferrier, Gary D., 2020. "Direction selection in stochastic directional distance functions," European Journal of Operational Research, Elsevier, vol. 280(1), pages 351-364.
    10. Setareh Ranjbar & Stefan Sperlich, 2020. "A Note on Empirical Studies of Life-Satisfaction: Unhappy with Semiparametrics?," Journal of Happiness Studies, Springer, vol. 21(6), pages 2193-2212, August.
    11. Friehe, Tim & Pannenberg, Markus, 2019. "Overconfidence over the lifespan: Evidence from Germany," Journal of Economic Psychology, Elsevier, vol. 74(C).
    12. Tae-Hwy Lee & Bai Huang & Aman Ullah, 2018. "Combined Estimation of Semiparametric Panel Data Models," Working Papers 201915, University of California at Riverside, Department of Economics.
    13. Obbey Elamin & Len Gill & Martyn Andrews, 2020. "Insights from kernel conditional-probability estimates into female labour force participation decision in the UK," Empirical Economics, Springer, vol. 58(6), pages 2981-3006, June.
    14. Nunes Almeida, Alexandre & Bravo-Ureta, Boris E., 2022. "Farm size and productivity in Nicaragua: Parametric and nonparametric analyses for panel data," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 22(01), June.
    15. Christopher F. Parmeter & Hung-Jen Wang & Subal C. Kumbhakar, 2017. "Nonparametric estimation of the determinants of inefficiency," Journal of Productivity Analysis, Springer, vol. 47(3), pages 205-221, June.
    16. Ruben Dewitte & Michel Dumont & Bruno Merlevede & Glenn Rayp & Marijn Verschelde, 2020. "Firm-Heterogeneous Biased Technological Change: A nonparametric approach under endogeneity," Post-Print hal-03001787, HAL.
    17. Ozabaci, Deniz & Henderson, Daniel J., 2014. "Additive Kernel Estimates of Returns to Schooling," IZA Discussion Papers 8736, Institute of Labor Economics (IZA).
    18. Peter R. Herman, 2022. "Modeling complex network patterns in international trade," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 158(1), pages 127-179, February.
    19. Park, Byeong U. & Simar, Leopold & Zelenyuk, Valentin, 2018. "Forecasting of Recessions via Dynamic Probit for Time Series: Replication and Extension of Kauppi and Saikkonen (2008)," LIDAM Discussion Papers ISBA 2018004, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    20. Henderson, Daniel J. & Parmeter, Christopher F., 2015. "A consistent bootstrap procedure for nonparametric symmetry tests," Economics Letters, Elsevier, vol. 131(C), pages 78-82.
    21. Tadesse Getacher Engida & Christopher F. Parmeter & Xudong Rao & Alfons G.J.M. Oude Lansink, 2022. "Investment Inefficiency and Corporate Social Responsibility," Journal of Productivity Analysis, Springer, vol. 58(1), pages 95-108, August.
    22. Alexandra Soberon & Irene D’Hers, 2020. "The Environmental Kuznets Curve: A Semiparametric Approach with Cross-Sectional Dependence," JRFM, MDPI, vol. 13(11), pages 1-23, November.
    23. Daniel J. Henderson & Andrew Houtenville & Le Wang, 2017. "The Distribution of Returns to Education for People with Disabilities," Journal of Labor Research, Springer, vol. 38(3), pages 261-282, September.
    24. Faten Ben Bouheni & Hassan Obeid & Elena Margarint, 2022. "Nonperforming loan of European Islamic banks over the economic cycle," Annals of Operations Research, Springer, vol. 313(2), pages 773-808, June.
    25. Mendez-Guerra, Carlos, 2018. "Beta, Sigma and Distributional Convergence in Human Development? Evidence from the Metropolitan Regions of Bolivia," MPRA Paper 87627, University Library of Munich, Germany.
    26. Hasan Engin Duran & Andrzej Cieślik, 2021. "The distribution of city sizes in Turkey: A failure of Zipf’s law due to concavity," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(5), pages 1702-1719, October.
    27. Camilla Mastromarco & Léopold Simar & Valentin Zelenyuk, 2021. "Predicting recessions with a frontier measure of output gap: an application to Italian economy," Empirical Economics, Springer, vol. 60(6), pages 2701-2740, June.
    28. Girard, Alexandre & Gnabo, Jean-Yves & Londoño van Rutten, Rodrigo, 2023. "Firm performance and the crowd effect in lobbying competition," Finance Research Letters, Elsevier, vol. 53(C).
    29. Parmeter, Christopher F. & Simar, Léopold & Van Keilegom, Ingrid & Zelenyuk, Valentin, 2024. "Inference in the nonparametric stochastic frontier model," LIDAM Reprints ISBA 2024013, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    30. Wichmann, Bruno & Wichmann, Roberta, 2022. "COVID-19 and Indigenous health in the Brazilian Amazon," Economic Modelling, Elsevier, vol. 115(C).
    31. Giménez, Víctor & Prieto, William & Prior, Diego & Tortosa-Ausina, Emili, 2019. "Evaluation of efficiency in Colombian hospitals: An analysis for the post-reform period," Socio-Economic Planning Sciences, Elsevier, vol. 65(C), pages 20-35.
    32. Nadine McCloud & Christopher F. Parmeter, 2017. "Calculating Degrees of Freedom in Multivariate Local Polynomial Regression," Working Papers 2017-14, University of Miami, Department of Economics.
    33. Das, Monica & Basu, Sudip R., 2023. "Inclusive bank based financial development in countries with special needs: A semiparametric analysis," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 740-753.
    34. Subal C. Kumbhakar, Orjan Mydland, Andrew Musau, and Gudbrand Lien, 2020. "Disentangling Costs of Persistent and Transient Technical Inefficiency and Input Misallocation: The Case of Norwegian Electricity Distribution Firms," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 143-160.
    35. Jun Cai & William C. Horrace & Christopher F. Parmeter, 2020. "Density Deconvolution with Laplace Errors and Unknown Variance," Center for Policy Research Working Papers 225, Center for Policy Research, Maxwell School, Syracuse University.
    36. G. Ardizzi & F. Crudu & C. Petraglia, 2015. "The Impact of Electronic Payments on Bank Cost Efficiency: Nonparametric Evidence," Working Paper CRENoS 201517, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    37. Almeida, Alexandre N. & Santos, Augusto S. & Halmenschlager, Vinícius & Gilio, Leandro & Diniz, Tiago B. & Ferreira, Alexandre A. S., 2016. "Flexible-fuel automobiles and CO2 emissions in Brazil: a semiparametric analysis using panel data," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235733, Agricultural and Applied Economics Association.
    38. Simar, Léopold & Wilson, Paul, 2021. "Nonparametric, Stochastic Frontier Models with Multiple Inputs and Outputs," LIDAM Discussion Papers ISBA 2021003, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    39. Paul W. Wilson, 2022. "Turbulent Years for U.S. Banks: 2000-20," Review, Federal Reserve Bank of St. Louis, vol. 104(3), pages 189-209, July.
    40. Nicolas Gavoille & Marijn Verschelde, 2017. "Electoral competition and political selection: An analysis of the activity of French deputies, 1958–2012," Post-Print hal-01745350, HAL.
    41. Man Jin & Shunan Zhao & Subal C. Kumbhakar, 2020. "Information asymmetry and leverage adjustments: a semiparametric varying‐coefficient approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(2), pages 581-605, February.
    42. Chi-Yang Chu & Daniel J. Henderson & Christopher F. Parmeter, 2015. "Plug-in Bandwidth Selection for Kernel Density Estimation with Discrete Data," Econometrics, MDPI, vol. 3(2), pages 1-16, March.
    43. Justin Yifu Lin & Célestin Monga & Samuel Standaert, 2019. "The Inclusive Sustainable Transformation Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 47-80, May.
    44. Camarero, Mariam & Peiró-Palomino, Jesús & Tamarit, Cecilio, 2019. "Growth in a time of external imbalances," Economic Modelling, Elsevier, vol. 79(C), pages 262-275.
    45. Apata Temidayo Gabriel, 2019. "Public spending mechanisms and gross domestic product (GDP) growth in the agricultural sector (1970–2016): Lessons for Nigeria from agricultural policy progressions in China," Bulletin of Geography. Socio-economic Series, Sciendo, vol. 44(44), pages 57-72, June.
    46. Taining Wang & Jinjing Tian, 2020. "Recasting the trade impact on labor share: a fixed-effect semiparametric estimation study," Empirical Economics, Springer, vol. 58(5), pages 2465-2511, May.
    47. Delgado, Michael S. & Guilfoos, Todd & Boslett, Andrew, 2016. "The cost of unconventional gas extraction: A hedonic analysis," Resource and Energy Economics, Elsevier, vol. 46(C), pages 1-22.
    48. Wang, Shaoping & Li, Ang & Wen, Kuangyu & Wu, Ximing, 2020. "Robust kernels for kernel density estimation," Economics Letters, Elsevier, vol. 191(C).
    49. Daniel J. Henderson & Christopher F. Parmeter, 2015. "Single-Step Estimation of a Partially Linear Model," Working Papers 2015-01, University of Miami, Department of Economics.
    50. Fernando Rios-Avila, 2019. "A Semi-Parametric Approach to the Oaxaca-Blinder Decomposition with Continuous Group Variable and Self-Selection," Economics Working Paper Archive wp_930, Levy Economics Institute.
    51. Mastromarco, Camilla & Simar, Leopold & Wilson, Paul, 2019. "Predicting Recessions: A New Measure of Output Gap as Predictor," LIDAM Discussion Papers ISBA 2019023, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    52. Ghazouani, Tarek, 2022. "Dynamic impact of globalization on renewable energy consumption: Non-parametric modelling evidence," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    53. Enrico De Monte, 2020. "Entry, Exit and Productivity: Evidence from French Manufacturing Firms," Working Papers of BETA 2020-07, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    54. Víctor Giménez & Claudio Thieme & Diego Prior & Emili Tortosa-Ausina, 2017. "An international comparison of educational systems: a temporal analysis in presence of bad outputs," Journal of Productivity Analysis, Springer, vol. 47(1), pages 83-101, February.
    55. De Monte Enrico, 2024. "Nonparametric Instrumental Regression with Two-Way Fixed Effects," Journal of Econometric Methods, De Gruyter, vol. 13(1), pages 49-66, January.
    56. Lien, Gudbrand & Kumbhakar, Subal C. & Mishra, Ashok K. & Hardaker, J. Brian, 2022. "Does risk management affect productivity of organic rice farmers in India? Evidence from a semiparametric production model," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1392-1402.
    57. Das, Sonali & Racine, Jeffrey S., 2018. "Interactive nonparametric analysis of nonlinear systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 290-301.
    58. Mustafa Koroglu, 2019. "Growth and Debt: An Endogenous Smooth Coefficient Approach," JRFM, MDPI, vol. 12(1), pages 1-22, February.
    59. Bernstein, David H. & Parmeter, Christopher F., 2019. "Returns to scale in electricity generation: Replicated and revisited," Energy Economics, Elsevier, vol. 82(C), pages 4-15.
    60. Uddin, Md. Main & Mishra, Vinod & Smyth, Russell, 2020. "Income inequality and CO2 emissions in the G7, 1870–2014: Evidence from non-parametric modelling," Energy Economics, Elsevier, vol. 88(C).
    61. Jean Joseph Minviel & Kristof De Witte, 2016. "The influence of public subsidies on farm technical efficiency: A robust conditional nonparametric approach," Working Papers SMART 16-10, INRAE UMR SMART.
    62. Alexandra-Anca Purcel, 2020. "New insights into the environmental Kuznets curve hypothesis in developing and transition economies: a literature survey," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 22(4), pages 585-631, October.
    63. Pannenberg, Markus & Friehe, Tim, 2019. "Does it really get better with age? Life-cycle patterns of confidence in Germany," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203497, Verein für Socialpolitik / German Economic Association.
    64. Teresa D. Harrison & Daniel J. Henderson & Deniz Ozabaci & Christopher A. Laincz, 2023. "Does one size fit all in the non‐profit donation production function?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(2), pages 373-402, April.
    65. Michele Battisti & Massimo Del Gatto & Christopher F. Parmeter, 2018. "Labor productivity growth: disentangling technology and capital accumulation," Journal of Economic Growth, Springer, vol. 23(1), pages 111-143, March.
    66. Xue, Melanie Meng, 2018. "High-Value Work and the Rise of Women: The Cotton Revolution and Gender Equality in China," MPRA Paper 91100, University Library of Munich, Germany.
    67. Henderson, Daniel J. & Souto, Anne-Charlotte, 2018. "An Introduction to Nonparametric Regression for Labor Economists," IZA Discussion Papers 11914, Institute of Labor Economics (IZA).
    68. Spierdijk, Laura & Shaffer, Sherrill & Considine, Tim, 2017. "How do banks adjust to changing input prices? A dynamic analysis of U.S. commercial banks before and after the crisis," Journal of Banking & Finance, Elsevier, vol. 85(C), pages 1-14.
    69. Mendez-Guerra, Carlos, 2018. "¿Convergencia beta, sigma y distribucional en desarrollo humano? Evidencia de las regiones metropolitanas de Bolivia," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB) "San Pablo", issue 30, pages 88-117, November.
    70. Bruno Wichmann & Roberta Wichmann, 2020. "Nonparametric estimation of a primary care production function in urban Brazil," Health Economics Review, Springer, vol. 10(1), pages 1-10, December.
    71. Jesús Peiró-Palomino & Andrés J. Picazo-Tadeo, 2018. "OECD: One or Many? Ranking Countries with a Composite Well-Being Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(3), pages 847-869, October.
    72. Peiró-Palomino, Jesús & Picazo-Tadeo, Andrés J. & Tortosa-Ausina, Emili, 2021. "Measuring well-being in Colombian departments. The role of geography and demography," Socio-Economic Planning Sciences, Elsevier, vol. 78(C).
    73. Dustin Chambers & Shatakshee Dhongde, 2017. "Are countries becoming equally unequal?," Empirical Economics, Springer, vol. 53(4), pages 1323-1348, December.
    74. Walter, Paul & Weimer, Katja, 2018. "Estimating poverty and inequality indicators using interval censored income data from the German microcensus," Discussion Papers 2018/10, Free University Berlin, School of Business & Economics.
    75. Blank, Sven & Egger, Peter H., 2021. "Melting constants in trade gravity’s rainbow," Economics Letters, Elsevier, vol. 201(C).
    76. Mariam Camarero & Jesús Peiró-Palomino & Cecilio Tamarit, 2018. "External imbalances and growth," Working Papers 1808, Department of Applied Economics II, Universidad de Valencia.
    77. Christopher F. Parmeter & Valentin Zelenyuk, 2019. "Combining the Virtues of Stochastic Frontier and Data Envelopment Analysis," Operations Research, INFORMS, vol. 67(6), pages 1628-1658, November.
    78. Justin Lin & Monga Célestin & Standaert Samuel, 2017. "Working Paper 257 - The Inclusive and Sustainable Transformation Index," Working Paper Series 2368, African Development Bank.
    79. Gustavo Canavire-Bacarreza & Luis Castro Peñarrieta, 2021. "Can licensing induce productivity? Exploring the IPR effect," Empirical Economics, Springer, vol. 61(2), pages 549-586, August.
    80. Byeong U. Park & Leopold Simar & Valentin Zelenyuk, 2017. "Revisiting Forecasting of Recessions via Dynamic Probit for Time Series by Kauppi and Saikkonen (2008)," CEPA Working Papers Series WP032017, School of Economics, University of Queensland, Australia.
    81. Sefa Awaworyi Churchill & Bin Peng & Russell Smyth & Quanda Zhang, 2022. "R&D intensity and income inequality in the G7: 1870–2016," Scottish Journal of Political Economy, Scottish Economic Society, vol. 69(3), pages 263-282, July.
    82. Nuno Baetas da Silva & João Sousa Andrade, 2016. "The relationship between social transfers and poverty reduction: A nonparametric approach for the EU-27," GEMF Working Papers 2016-09, GEMF, Faculty of Economics, University of Coimbra.
    83. Michler, Jeffrey D., 2020. "Agriculture in the process of development: A micro-perspective," World Development, Elsevier, vol. 129(C).
    84. Töpfer, Marina, 2017. "Detailed RIF Decomposition with Selection - The Gender Pay Gap in Italy," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168422, Verein für Socialpolitik / German Economic Association.
    85. Millie Yi Mao & Aman Ullah, 2019. "Information Theoretic Estimation of Econometric Functions," Working Papers 201923, University of California at Riverside, Department of Economics.
    86. Minzhi Wu & Emili Tortosa-Ausina & Paula Cruz-García, 2024. "The impact of diversification on the profitability and risk of Chinese banks: evidence from a semiparametric approach," Empirical Economics, Springer, vol. 67(6), pages 2565-2606, December.
    87. Qingyan Tong & Chi-Yang Chu & Dong Zhou & Yulei Feng, 2021. "Does Internet Connectedness Disconnect Marriage? A Micro Empirical Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 158(1), pages 143-176, November.
    88. Chi‐Yang Chu & Mingming Jiang, 2021. "Financial depth, income inequality, and economic transition," Southern Economic Journal, John Wiley & Sons, vol. 88(1), pages 199-244, July.
    89. McCloud, Nadine & Parmeter, Christopher F., 2020. "Determining the Number of Effective Parameters in Kernel Density Estimation," Computational Statistics & Data Analysis, Elsevier, vol. 143(C).
    90. Cui, Qiurong & Xu, Yuqing & Zhang, Zhengjun & Chan, Vincent, 2021. "Max-linear regression models with regularization," Journal of Econometrics, Elsevier, vol. 222(1), pages 579-600.
    91. Daniel J. Henderson & Léopold Simar & Le Wang, 2017. "The three s of public schools: irrelevant inputs, insufficient resources and inefficiency," Applied Economics, Taylor & Francis Journals, vol. 49(12), pages 1164-1184, March.
    92. Wilson, Paul W., 2018. "Dimension reduction in nonparametric models of production," European Journal of Operational Research, Elsevier, vol. 267(1), pages 349-367.
    93. Rafael Boix‐Domenech & Jesús Peiró‐Palomino & Pau Rausell‐Köster, 2021. "Creative industries and productivity in the European regions. Is there a Mediterranean effect?," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(5), pages 1546-1564, October.
    94. Awaworyi Churchill, Sefa & Inekwe, John & Ivanovski, Kris, 2021. "R&D expenditure and energy consumption in OECD nations," Energy Economics, Elsevier, vol. 100(C).
    95. Mendez-Guerra, Carlos, 2019. "Environmental Efficiency and Regional Convergence Clusters in Japan: A Nonparametric Density Approach," MPRA Paper 92245, University Library of Munich, Germany.
    96. Amini, Shahram & Battisti, Michele & Parmeter, Christopher F., 2017. "Decomposing changes in the conditional variance of GDP over time," Economic Modelling, Elsevier, vol. 61(C), pages 376-387.
    97. Yashar Tarverdi, 2018. "Aspects of Governance and $$\hbox {CO}_2$$ CO 2 Emissions: A Non-linear Panel Data Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(1), pages 167-194, January.
    98. Henderson Daniel J. & Parmeter Christopher F., 2017. "Root-n Consistent Kernel Density Estimation in Practice," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-10, January.
    99. Christopher F. Parmeter & Valentin Zelenyuk, 2016. "A Bridge Too Far? The State of the Art in Combining the Virtues of Stochastic Frontier Analysis and Data Envelopement Analysis," Working Papers 2016-10, University of Miami, Department of Economics.
    100. Takayuki Toda & Ayako Wakano & Takahiro Hoshino, 2019. "Regression Discontinuity Design with Multiple Groups for Heterogeneous Causal Effect Estimation," Papers 1905.04443, arXiv.org.
    101. Mendez-Guerra, Carlos, 2017. "Heterogeneous Growth and Regional (Di)Convergence in Bolivia: A Distribution Dynamics Approach," MPRA Paper 81060, University Library of Munich, Germany.
    102. Jesús Peiró-Palomino & Andrés J. Picazo-Tadeo & Emili Tortosa-Ausina, 2020. "The Geography of Well-being in Colombia," Working Papers 2020/03, Economics Department, Universitat Jaume I, Castellón (Spain).
    103. Wang, Taining & Henderson, Daniel J., 2022. "Estimation of a varying coefficient, fixed-effects Cobb–Douglas production function in levels," Economics Letters, Elsevier, vol. 213(C).
    104. Li, Yong & Zhang, Mingzhi & Zhang, Yonghui, 2022. "Sequential Bayesian bandwidth selection for multivariate kernel regression with applications," Economic Modelling, Elsevier, vol. 112(C).

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