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Gholamreza Hajargasht

Personal Details

First Name:Gholamreza
Middle Name:
Last Name:Hajargasht
Suffix:
RePEc Short-ID:pha34
http://www.reza-hajar.com/
Department of Accounting, Economics and Finance, Business School Swinburne University of Technology, Australia
Terminal Degree:2005 School of Economics; University of Queensland (from RePEc Genealogy)

Affiliation

School of Business, Law and Entrepreneurship
Swinburne University of Technology

Melbourne, Australia
https://www.swinburne.edu.au/about/our-structure/organisational-structure/schools-departments/school-business-law-entrepreneurship/
RePEc:edi:scswiau (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Gholamreza Hajargasht & D.S. Prasada Rao, 2019. "Multilateral Index Number Systems for International Price Comparisons: Properties, Existence and Uniqueness," CEPA Working Papers Series WP032019, School of Economics, University of Queensland, Australia.
  2. Reza Hajargasht, 2019. "Approximation Properties of Variational Bayes for Vector Autoregressions," Papers 1903.00617, arXiv.org.
  3. Duangkamon Chotikapanich & William E. Griffiths & Gholamreza Hajargasht & Wasana Karunarathne & D.S. Prasada Rao, 2018. "Using the GB2 Income Distribution: A Review," Department of Economics - Working Papers Series 2036, The University of Melbourne.
  4. Reza Hajargasht & Robert J. Hill & D. S. Prasada Rao & Sriram Shankar, 2018. "Spatial Chaining in International Comparisons of Prices and Real Incomes," Graz Economics Papers 2018-03, University of Graz, Department of Economics.
  5. Gholamreza Hajargasht & William E. Griffiths, 2016. "Estimation and Testing of Stochastic Frontier Models using Variational Bayes," Department of Economics - Working Papers Series 2024, The University of Melbourne.
  6. Gholamreza Hajargasht & William E. Griffiths, 2016. "Inference for Lorenz Curves," Department of Economics - Working Papers Series 2022, The University of Melbourne.
  7. William E. Griffiths & Gholamreza Hajargasht, 2015. "Welfare Consequences of Information Aggregation and Optimal Market Size," Department of Economics - Working Papers Series 1190, The University of Melbourne.
  8. Gholamreza Hajargasht and William E. Griffiths, 2012. "Pareto-Lognormal Income Distributions:Inequality and Poverty Measures, Estimation and Performance," Department of Economics - Working Papers Series 1149, The University of Melbourne.
  9. Gholamreza Hajargsht, William E. Griffiths, Joseph Brice, D.S. Prasada Rao, Duangkamon Chotikapanich, 2012. "Inference for Income Distributions Using Grouped Data," Department of Economics - Working Papers Series 1140, The University of Melbourne.
  10. William E. Griffiths and Gholamreza Hajargasht, 2012. "GMM Estimation of Mixtures from Grouped Data:," Department of Economics - Working Papers Series 1148, The University of Melbourne.
  11. Gholamreza Hajargasht, 2009. "Nonparametric Panel Data Models, A Penalized Spline Approach," CEPA Working Papers Series WP052009, School of Economics, University of Queensland, Australia.
  12. Gholamreza Hajargasht & D.S. Prasada Rao, 2008. "Stochastic Approach to Index Numbers for Multilateral Price Comparisons and their Standard Errors," CEPA Working Papers Series WP062008, School of Economics, University of Queensland, Australia.
  13. Tim Coelli & Gholamreza Hajargasht & C.A. Knox Lovell, 2008. "Econometric Estimation of an Input Distance Function in a System of Equations," CEPA Working Papers Series WP012008, School of Economics, University of Queensland, Australia.
  14. Gholamreza Hajargasht & D.S. Prasada Rao, 2006. "Systems of Index Numbers for International Price Comparisons Based on the Stochastic Approach," CEPA Working Papers Series WP042006, School of Economics, University of Queensland, Australia.
  15. Gholamreza Hajargasht & Tim Coelli & D. S. Prasada Rao, 2006. "A Dual Measure of Economies of Scope," CEPA Working Papers Series WP032006, School of Economics, University of Queensland, Australia.
  16. Gholamreza Hajargasht, 2004. "Some New Semiparametric Panel Stochastic Frontier Models," Econometric Society 2004 Australasian Meetings 127, Econometric Society.
  17. Gholamreza Hajargasht, 2003. "Semiparametric Estimation of Stochastic Frontiers A Bayesian Penalized Approach," CEPA Working Papers Series WP042003, School of Economics, University of Queensland, Australia.

Articles

  1. Hajargasht, Gholamreza & Prasada Rao, D.S. & Valadkhani, Abbas, 2019. "Reliability of basic heading PPPs," Economics Letters, Elsevier, vol. 180(C), pages 102-107.
  2. Hajargasht, Gholamreza & Rao, D.S. Prasada, 2019. "Multilateral index number systems for international price comparisons: Properties, existence and uniqueness," Journal of Mathematical Economics, Elsevier, vol. 83(C), pages 36-47.
  3. Gholamreza Hajargasht & William E. Griffiths, 2018. "Estimation and testing of stochastic frontier models using variational Bayes," Journal of Productivity Analysis, Springer, vol. 50(1), pages 1-24, October.
  4. Duangkamon Chotikapanich & William E. Griffiths & Gholamreza Hajargasht & Wasana Karunarathne & D. S. Prasada Rao, 2018. "Using the GB2 Income Distribution," Econometrics, MDPI, vol. 6(2), pages 1-24, April.
  5. Griffiths, William E. & Hajargasht, Gholamreza, 2016. "Some models for stochastic frontiers with endogeneity," Journal of Econometrics, Elsevier, vol. 190(2), pages 341-348.
  6. Rao, D.S. Prasada & Hajargasht, Gholamreza, 2016. "Stochastic approach to computation of purchasing power parities in the International Comparison Program (ICP)," Journal of Econometrics, Elsevier, vol. 191(2), pages 414-425.
  7. Griffiths, William & Hajargasht, Gholamreza, 2015. "On GMM estimation of distributions from grouped data," Economics Letters, Elsevier, vol. 126(C), pages 122-126.
  8. Gholamreza Hajargasht, 2015. "Stochastic frontiers with a Rayleigh distribution," Journal of Productivity Analysis, Springer, vol. 44(2), pages 199-208, October.
  9. Hajargasht, Gholamreza & Griffiths, William E., 2013. "Pareto–lognormal distributions: Inequality, poverty, and estimation from grouped income data," Economic Modelling, Elsevier, vol. 33(C), pages 593-604.
  10. Gholamreza Hajargasht & William E. Griffiths & Joseph Brice & D.S. Prasada Rao & Duangkamon Chotikapanich, 2012. "Inference for Income Distributions Using Grouped Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(4), pages 563-575, May.
  11. Gholamreza Hajargasht & D. S. Prasada Rao, 2010. "Stochastic Approach To Index Numbers For Multilateral Price Comparisons And Their Standard Errors," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(s1), pages 32-58, June.
  12. Hajargasht, Gholamreza & Coelli, Tim & Rao, D.S. Prasada, 2008. "A dual measure of economies of scope," Economics Letters, Elsevier, vol. 100(2), pages 185-188, August.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Gholamreza Hajargasht & D.S. Prasada Rao, 2019. "Multilateral Index Number Systems for International Price Comparisons: Properties, Existence and Uniqueness," CEPA Working Papers Series WP032019, School of Economics, University of Queensland, Australia.

    Cited by:

    1. Sebastian Weinand, 2022. "Measuring spatial price differentials at the basic heading level: a comparison of stochastic index number methods," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 106(1), pages 117-143, March.
    2. Hajargasht, Gholamreza & Prasada Rao, D.S. & Valadkhani, Abbas, 2019. "Reliability of basic heading PPPs," Economics Letters, Elsevier, vol. 180(C), pages 102-107.

  2. Duangkamon Chotikapanich & William E. Griffiths & Gholamreza Hajargasht & Wasana Karunarathne & D.S. Prasada Rao, 2018. "Using the GB2 Income Distribution: A Review," Department of Economics - Working Papers Series 2036, The University of Melbourne.

    Cited by:

    1. Mathias Silva, 2023. "Parametric estimation of income distributions using grouped data: an Approximate Bayesian Computation approach," AMSE Working Papers 2310, Aix-Marseille School of Economics, France.
    2. Vanesa Jorda & José María Sarabia & Markus Jäntti, 2021. "Inequality measurement with grouped data: Parametric and non‐parametric methods," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 964-984, July.
    3. Walter Bossert & Conchita D'Ambrosio & Kohei Kamaga, 2020. "Extreme values, means, and inequality measurement," DSSR Discussion Papers 106, Graduate School of Economics and Management, Tohoku University.
    4. Mathias Silva, 2023. "Parametric models of income distributions integrating misreporting and non-response mechanisms," Working Papers hal-04093646, HAL.
    5. Vladimir Hlasny, 2020. "Parametric Representation of the Top of Income Distributions: Options, Historical Evidence and Model Selection," Commitment to Equity (CEQ) Working Paper Series 90, Tulane University, Department of Economics.
    6. Jiong Liu & Hamed Farahani & R. A. Serota, 2023. "Exploring Distributions of House Prices and House Price Indices," Papers 2312.14325, arXiv.org.
    7. Amparo Ba'illo & Javier C'arcamo & Carlos Mora-Corral, 2021. "Extremal points of Lorenz curves and applications to inequality analysis," Papers 2103.03286, arXiv.org.
    8. Villas-Boas, Sofia B. & Fu, Qiuzi & Judge, George, 2019. "Entropy based European income distributions and inequality measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 686-698.
    9. Masato Okamoto, 2022. "Lorenz and Polarization Orderings of the Double-Pareto Lognormal Distribution and Other Size Distributions," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(2), pages 548-574, November.
    10. Jiong Liu & R. A. Serota, 2023. "Rethinking Generalized Beta family of distributions," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 96(2), pages 1-14, February.
    11. Betti, Gianni & Molini, Vasco & Mori, Lorenzo, 2024. "An attempt to correct the underestimation of inequality measures in cross-survey imputation through generalized additive models for location, scale and shape," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    12. Jordá, Vanesa & Niño-Zarazúa, Miguel, 2019. "Global inequality: How large is the effect of top incomes?," World Development, Elsevier, vol. 123(C), pages 1-1.
    13. Stanislaw Maciej Kot & Piotr Paradowski, 2024. "The Equally Distributed Equivalent Income as the Upper Limit of Poverty Lines," LIS Working papers 885, LIS Cross-National Data Center in Luxembourg.
    14. Jiong Liu & R. A. Serota, 2022. "Rethinking Generalized Beta Family of Distributions," Papers 2209.05225, arXiv.org.
    15. Dashti Moghaddam, M. & Mills, Jeffrey & Serota, R.A., 2020. "From a stochastic model of economic exchange to measures of inequality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 559(C).
    16. Jiong Liu & Hamed Farahani & R. A. Serota, 2024. "Exploring Distributions of House Prices and House Price Indices," Economies, MDPI, vol. 12(2), pages 1-17, February.

  3. Reza Hajargasht & Robert J. Hill & D. S. Prasada Rao & Sriram Shankar, 2018. "Spatial Chaining in International Comparisons of Prices and Real Incomes," Graz Economics Papers 2018-03, University of Graz, Department of Economics.

    Cited by:

    1. Gholamreza Hajargasht & D.S. Prasada Rao, 2019. "Multilateral Index Number Systems for International Price Comparisons: Properties, Existence and Uniqueness," CEPA Working Papers Series WP032019, School of Economics, University of Queensland, Australia.
    2. Daniel Reiter, 2020. "Socioeconomic Integration through Language: Evidence from the European Union," Graz Economics Papers 2020-15, University of Graz, Department of Economics.

  4. Gholamreza Hajargasht & William E. Griffiths, 2016. "Estimation and Testing of Stochastic Frontier Models using Variational Bayes," Department of Economics - Working Papers Series 2024, The University of Melbourne.

    Cited by:

    1. Gholamreza Hajargasht & D.S. Prasada Rao, 2019. "Multilateral Index Number Systems for International Price Comparisons: Properties, Existence and Uniqueness," CEPA Working Papers Series WP032019, School of Economics, University of Queensland, Australia.
    2. Gholamreza Hajargasht, 2015. "Stochastic frontiers with a Rayleigh distribution," Journal of Productivity Analysis, Springer, vol. 44(2), pages 199-208, October.
    3. Phill Wheat & Alexander D. Stead & William H. Greene, 2019. "Robust stochastic frontier analysis: a Student’s t-half normal model with application to highway maintenance costs in England," Journal of Productivity Analysis, Springer, vol. 51(1), pages 21-38, February.

  5. Gholamreza Hajargasht & William E. Griffiths, 2016. "Inference for Lorenz Curves," Department of Economics - Working Papers Series 2022, The University of Melbourne.

    Cited by:

    1. Vanesa Jorda & Jos Mar a Sarabia & Markus J ntti, 2020. "Estimation of Income Inequality from Grouped Data," LIS Working papers 804, LIS Cross-National Data Center in Luxembourg.

  6. Gholamreza Hajargsht, William E. Griffiths, Joseph Brice, D.S. Prasada Rao, Duangkamon Chotikapanich, 2012. "Inference for Income Distributions Using Grouped Data," Department of Economics - Working Papers Series 1140, The University of Melbourne.

    Cited by:

    1. Duangkamon Chotikapanich, William Griffiths, Wasana Karunarathne, D.S. Prasada Rao, 2012. "Calculating Poverty Measures from the Generalized Beta Income Distribution," Department of Economics - Working Papers Series 1154, The University of Melbourne.
    2. Gholamreza Hajargasht & William E. Griffiths, 2016. "Inference for Lorenz Curves," Department of Economics - Working Papers Series 2022, The University of Melbourne.
    3. Griffiths, William & Hajargasht, Gholamreza, 2015. "On GMM estimation of distributions from grouped data," Economics Letters, Elsevier, vol. 126(C), pages 122-126.
    4. Mathias Silva, 2023. "Parametric estimation of income distributions using grouped data: an Approximate Bayesian Computation approach," AMSE Working Papers 2310, Aix-Marseille School of Economics, France.
    5. Vanesa Jorda & José María Sarabia & Markus Jäntti, 2021. "Inequality measurement with grouped data: Parametric and non‐parametric methods," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 964-984, July.
    6. William E. Griffiths and Gholamreza Hajargasht, 2012. "GMM Estimation of Mixtures from Grouped Data:," Department of Economics - Working Papers Series 1148, The University of Melbourne.
    7. Chotikapanich, Duangkamon & Griffiths, William E. & Rao, D.S. Prasada & Karunarathne, Wasana, 2014. "Income Distributions, Inequality, and Poverty in Asia, 1992–2010," ADBI Working Papers 468, Asian Development Bank Institute.
    8. Kazuhiko Kakamu & Haruhisa Nishino, 2019. "Bayesian Estimation of Beta-type Distribution Parameters Based on Grouped Data," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 625-645, August.
    9. Ji Hyung Lee & Yuya Sasaki & Alexis Akira Toda & Yulong Wang, 2022. "Tuning Parameter-Free Nonparametric Density Estimation from Tabulated Summary Data," Papers 2204.05480, arXiv.org, revised May 2023.
    10. Hajargasht, Gholamreza & Griffiths, William E., 2013. "Pareto–lognormal distributions: Inequality, poverty, and estimation from grouped income data," Economic Modelling, Elsevier, vol. 33(C), pages 593-604.
    11. Alexis Akira Toda & Yulong Wang, 2021. "Efficient minimum distance estimation of Pareto exponent from top income shares," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(2), pages 228-243, March.
    12. Gholamreza Hajargasht and William E. Griffiths, 2012. "Pareto-Lognormal Income Distributions:Inequality and Poverty Measures, Estimation and Performance," Department of Economics - Working Papers Series 1149, The University of Melbourne.
    13. Tsvetana Spasova, 2019. "Regional Income Distribution in the European Union: A Parametric Approach," Research on Economic Inequality, in: What Drives Inequality?, volume 27, pages 1-18, Emerald Group Publishing Limited.
    14. Michał Brzeziński, 2013. "Parametric modelling of income distribution in Central and Eastern Europe," Working Papers 2013-31, Faculty of Economic Sciences, University of Warsaw.
    15. Kazuhiko Kakamu, 2016. "Simulation Studies Comparing Dagum and Singh–Maddala Income Distributions," Computational Economics, Springer;Society for Computational Economics, vol. 48(4), pages 593-605, December.
    16. Kazuhiko Kakamu & Haruhisa Nishino, 2016. "Bayesian Estimation Of Beta-Type Distribution Parameters Based On Grouped Data," Discussion Papers 2016-08, Kobe University, Graduate School of Business Administration.
    17. Tobias Eckernkemper & Bastian Gribisch, 2021. "Classical and Bayesian Inference for Income Distributions using Grouped Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(1), pages 32-65, February.
    18. Duangkamon Chotikapanich & William E. Griffiths & Gholamreza Hajargasht & Wasana Karunarathne & D.S. Prasada Rao, 2018. "Using the GB2 Income Distribution: A Review," Department of Economics - Working Papers Series 2036, The University of Melbourne.
    19. Fernández-Morales, Antonio, 2016. "Measuring poverty with the Foster, Greer and Thorbecke indexes based on the Gamma distribution," MPRA Paper 69648, University Library of Munich, Germany.
    20. David Gunawan & William E. Griffiths & Duangkamon Chotikapanich, 2021. "Posterior Probabilities for Lorenz and Stochastic Dominance of Australian Income Distributions," The Economic Record, The Economic Society of Australia, vol. 97(319), pages 504-524, December.
    21. Duangkamon Chotikapanich & William E. Griffiths & Gholamreza Hajargasht & Wasana Karunarathne & D. S. Prasada Rao, 2018. "Using the GB2 Income Distribution," Econometrics, MDPI, vol. 6(2), pages 1-24, April.
    22. Sugasawa, Shonosuke & Kobayashi, Genya & Kawakubo, Yuki, 2020. "Estimation and inference for area-wise spatial income distributions from grouped data," Computational Statistics & Data Analysis, Elsevier, vol. 145(C).
    23. Helton Saulo & Roberto Vila & Giovanna V. Borges & Marcelo Bourguignon, 2022. "Parametric quantile regression for income data," Papers 2207.06558, arXiv.org.

  7. William E. Griffiths and Gholamreza Hajargasht, 2012. "GMM Estimation of Mixtures from Grouped Data:," Department of Economics - Working Papers Series 1148, The University of Melbourne.

    Cited by:

    1. Kazuhiko Kakamu, 2022. "Bayesian analysis of mixtures of lognormal distribution with an unknown number of components from grouped data," Papers 2210.05115, arXiv.org, revised Sep 2023.
    2. Tobias Eckernkemper & Bastian Gribisch, 2021. "Classical and Bayesian Inference for Income Distributions using Grouped Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(1), pages 32-65, February.
    3. Duangkamon Chotikapanich & William E. Griffiths & Gholamreza Hajargasht & D. S. Prasada Rao & Charley Xia, 2018. "Inequality and Poverty in Africa: Comparing Panels of Income Distributions from Different Data Sources," Department of Economics - Working Papers Series 2042, The University of Melbourne.

  8. Gholamreza Hajargasht, 2009. "Nonparametric Panel Data Models, A Penalized Spline Approach," CEPA Working Papers Series WP052009, School of Economics, University of Queensland, Australia.

    Cited by:

    1. 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.
    2. Peter Pütz & Thomas Kneib, 2016. "A Penalized Spline Estimator for Fixed Effects Panel Data Models," SOEPpapers on Multidisciplinary Panel Data Research 827, DIW Berlin, The German Socio-Economic Panel (SOEP).

  9. Gholamreza Hajargasht & D.S. Prasada Rao, 2008. "Stochastic Approach to Index Numbers for Multilateral Price Comparisons and their Standard Errors," CEPA Working Papers Series WP062008, School of Economics, University of Queensland, Australia.

    Cited by:

    1. Sebastian Weinand, 2022. "Measuring spatial price differentials at the basic heading level: a comparison of stochastic index number methods," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 106(1), pages 117-143, March.
    2. Gholamreza Hajargasht & D.S. Prasada Rao, 2019. "Multilateral Index Number Systems for International Price Comparisons: Properties, Existence and Uniqueness," CEPA Working Papers Series WP032019, School of Economics, University of Queensland, Australia.
    3. Laureti Tiziana & Polidoro Federico, 2022. "Using Scanner Data for Computing Consumer Spatial Price Indexes at Regional Level: An Empirical Application for Grocery Products in Italy," Journal of Official Statistics, Sciendo, vol. 38(1), pages 23-56, March.
    4. von Auer, Ludwig & Weinand, Sebastian, 2022. "A nonlinear generalization of the country-product-dummy method," Discussion Papers 45/2022, Deutsche Bundesbank.
    5. Adam Gorajek, 2018. "Econometric Perspectives on Economic Measurement," RBA Research Discussion Papers rdp2018-08, Reserve Bank of Australia.
    6. Weinand, Sebastian, 2020. "Measuring spatial price differentials: A comparison of stochastic index number methods," Discussion Papers 12/2020, Deutsche Bundesbank.
    7. Robert J. Hill & Alice O. Nakamura, 2010. "Improving Inflation And Related Performance Measures For Nations: An Introduction," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(s1), pages 1-10, June.
    8. Rao, D.S. Prasada & Hajargasht, Gholamreza, 2016. "Stochastic approach to computation of purchasing power parities in the International Comparison Program (ICP)," Journal of Econometrics, Elsevier, vol. 191(2), pages 414-425.
    9. José‐María Montero & Tiziana Laureti & Román Mínguez & Gema Fernández‐Avilés, 2020. "A Stochastic Model with Penalized Coefficients for Spatial Price Comparisons: An Application to Regional Price Indexes in Italy," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(3), pages 512-533, September.
    10. Chunyun Wang & Xiaoxi Yu & Jiang Zhao, 2022. "Identifying the Real Income Disparity in Prefecture-Level Cities in China: Measurement of Subnational Purchasing Power Parity Based on the Stochastic Approach," Sustainability, MDPI, vol. 14(16), pages 1-24, August.
    11. Ludwig Auer, 2012. "Räumliche Preisvergleiche: Aggregationskonzepte und Forschungsperspektiven," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 6(1), pages 27-56, December.

  10. Tim Coelli & Gholamreza Hajargasht & C.A. Knox Lovell, 2008. "Econometric Estimation of an Input Distance Function in a System of Equations," CEPA Working Papers Series WP012008, School of Economics, University of Queensland, Australia.

    Cited by:

    1. Kumbhakar, Subal C., 2011. "Estimation of production technology when the objective is to maximize return to the outlay," European Journal of Operational Research, Elsevier, vol. 208(2), pages 170-176, January.
    2. Gustavo Anríquez & Silvio Daidone, 2010. "Linkages between the farm and nonfarm sectors at the household level in rural Ghana: a consistent stochastic distance function approach," Agricultural Economics, International Association of Agricultural Economists, vol. 41(1), pages 51-66, January.
    3. Bhattacharyya, Aditi & Kutlu, Levent & Sickles, Robin C., 2018. "Pricing Inputs and Outputs: Market prices versus shadow prices, market power, and welfare analysis," Working Papers 18-009, Rice University, Department of Economics.
    4. Gelan, Ayele & Muriithi, Beatrice W., 2015. "Examining Returns to Scale in Smallholder Dairy Farms in East Africa," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 54(3), pages 1-23, September.
    5. Roberto Mosheim, 2014. "Under pressure: community water systems in the United States—a production model with water quality and organization type effects," Journal of Productivity Analysis, Springer, vol. 42(3), pages 277-292, December.
    6. Tsionas, Efthymios & Kumbhakar, Subal C. & Malikov, Emir, 2015. "Estimation of Input Distance Functions: A System Approach," MPRA Paper 62329, University Library of Munich, Germany.
    7. Subal Kumbhakar & Frank Asche & Ragnar Tveteras, 2013. "Estimation and decomposition of inefficiency when producers maximize return to the outlay: an application to Norwegian fishing trawlers," Journal of Productivity Analysis, Springer, vol. 40(3), pages 307-321, December.
    8. A. Gelan & B.W. Muriithi, 2012. "Measuring and explaining technical efficiency of dairy farms: a case study of smallholder farms in East Africa," Agrekon, Taylor & Francis Journals, vol. 51(2), pages 53-74.
    9. Kumbhakar, Subal C., 2013. "Specification and estimation of multiple output technologies: A primal approach," European Journal of Operational Research, Elsevier, vol. 231(2), pages 465-473.

  11. Gholamreza Hajargasht & Tim Coelli & D. S. Prasada Rao, 2006. "A Dual Measure of Economies of Scope," CEPA Working Papers Series WP032006, School of Economics, University of Queensland, Australia.

    Cited by:

    1. Maria Olivares & Heike Wetzel, 2011. "Competing in the Higher Education Market: Empirical Evidence for Economies of Scale and Scope in German Higher Education Institutions," Economics of Education Working Paper Series 0070, University of Zurich, Department of Business Administration (IBW).
    2. Jiro Nemoto & Noriko Furumatsu, 2014. "Scale and scope economies of Japanese private universities revisited with an input distance function approach," Journal of Productivity Analysis, Springer, vol. 41(2), pages 213-226, April.
    3. Mosheim, Roberto & Sickles, Robin C., 2020. "Spatial Effects of Nutrient Pollution on Drinking Water Production," Working Papers 20-002, Rice University, Department of Economics.
    4. Färe, Rolf & Karagiannis, Giannis, 2018. "Inferring scope economies from the input distance function," Economics Letters, Elsevier, vol. 172(C), pages 40-42.
    5. Renner, Swetlana & Glauben, Thomas & Hockmann, Heinrich, 2012. "Measurement And Decomposition Of Flexibility Of Multi-Output Firms," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 124865, International Association of Agricultural Economists.
    6. Ofori-Bah, Adeline & Asafu-Adjaye, John, 2011. "Scope economies and technical efficiency of cocoa agroforesty systems in Ghana," Ecological Economics, Elsevier, vol. 70(8), pages 1508-1518, June.
    7. Swetlana Renner & Thomas Glauben & Heinrich Hockmann & Pierre Ouellette, 2015. "Primal and dual multi-output flexibility measures," Journal of Productivity Analysis, Springer, vol. 44(2), pages 127-136, October.
    8. Nonthakot, Phanin & Fleming, Euan M. & Villano, Renato A., 2008. "An Assessment of the Impact of Strategic Alliances in Food Processing on the Technical Efficiency of Housewives Groups in Thailand," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44411, European Association of Agricultural Economists.
    9. Villano, Renato & Fleming, Euan & Fleming, Pauline, 2010. "Evidence of farm-level synergies in mixed-farming systems in the Australian Wheat-Sheep Zone," Agricultural Systems, Elsevier, vol. 103(3), pages 146-152, March.
    10. Singbo, Alphonse G. & Emvalomatis, Grigorios & Alfons, Oude Lansink, 2013. "Assessing the impact of crop specialization on farms’ performance in vegetables farming in Benin: a non-neutral stochastic frontier approach," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149172, Agricultural and Applied Economics Association.
    11. A. Wondemu Kifle, 2016. "Working Paper 237 - Decomposing Sources of Productivity Change in Small-Scale Farming in Ethiopia," Working Paper Series 2332, African Development Bank.
    12. Robertson R.B. Khataza & Atakelty Hailu & Graeme J. Doole & Marit E. Kragt & Arega D. Alene, 2019. "Examining the relationship between farm size and productive efficiency: a Bayesian directional distance function approach," Agricultural Economics, International Association of Agricultural Economists, vol. 50(2), pages 237-246, March.
    13. Wimmer, Stefan G. & Sauer, Johannes, 2017. "The Economic Benefits of Farm Diversification: An Empirical Analysis of Economies of Scope Using the Dual Approach," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258465, Agricultural and Applied Economics Association.
    14. Renner, Swetlana & Hockmann, Heinrich & Glauben, Thomas, 2011. "Measuring flexibility of multi-output firms: a primal and a dual measure," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114797, European Association of Agricultural Economists.

Articles

  1. Hajargasht, Gholamreza & Prasada Rao, D.S. & Valadkhani, Abbas, 2019. "Reliability of basic heading PPPs," Economics Letters, Elsevier, vol. 180(C), pages 102-107.

    Cited by:

    1. Sebastian Weinand, 2022. "Measuring spatial price differentials at the basic heading level: a comparison of stochastic index number methods," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 106(1), pages 117-143, March.

  2. Hajargasht, Gholamreza & Rao, D.S. Prasada, 2019. "Multilateral index number systems for international price comparisons: Properties, existence and uniqueness," Journal of Mathematical Economics, Elsevier, vol. 83(C), pages 36-47.
    See citations under working paper version above.
  3. Gholamreza Hajargasht & William E. Griffiths, 2018. "Estimation and testing of stochastic frontier models using variational Bayes," Journal of Productivity Analysis, Springer, vol. 50(1), pages 1-24, October.
    See citations under working paper version above.
  4. Duangkamon Chotikapanich & William E. Griffiths & Gholamreza Hajargasht & Wasana Karunarathne & D. S. Prasada Rao, 2018. "Using the GB2 Income Distribution," Econometrics, MDPI, vol. 6(2), pages 1-24, April.

    Cited by:

    1. Mathias Silva, 2023. "Parametric estimation of income distributions using grouped data: an Approximate Bayesian Computation approach," AMSE Working Papers 2310, Aix-Marseille School of Economics, France.
    2. Vanesa Jorda & José María Sarabia & Markus Jäntti, 2021. "Inequality measurement with grouped data: Parametric and non‐parametric methods," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 964-984, July.
    3. Vanesa Jorda & Jos Mar a Sarabia & Markus J ntti, 2020. "Estimation of Income Inequality from Grouped Data," LIS Working papers 804, LIS Cross-National Data Center in Luxembourg.
    4. Walter Bossert & Conchita D'Ambrosio & Kohei Kamaga, 2020. "Extreme values, means, and inequality measurement," DSSR Discussion Papers 106, Graduate School of Economics and Management, Tohoku University.
    5. Mathias Silva, 2023. "Parametric models of income distributions integrating misreporting and non-response mechanisms," Working Papers hal-04093646, HAL.
    6. Vladimir Hlasny, 2020. "Parametric Representation of the Top of Income Distributions: Options, Historical Evidence and Model Selection," Commitment to Equity (CEQ) Working Paper Series 90, Tulane University, Department of Economics.
    7. Amparo Ba'illo & Javier C'arcamo & Carlos Mora-Corral, 2021. "Extremal points of Lorenz curves and applications to inequality analysis," Papers 2103.03286, arXiv.org.
    8. William Griffiths & Duangkamon Chotikapanich & Gholamreza Hajargasht, 2021. "A Note on Inequality Measures for Mixtures of Double Pareto-Lognormal Distributions," Monash Econometrics and Business Statistics Working Papers 14/21, Monash University, Department of Econometrics and Business Statistics.
    9. Villas-Boas, Sofia B. & Fu, Qiuzi & Judge, George, 2019. "Entropy based European income distributions and inequality measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 686-698.
    10. Masato Okamoto, 2022. "Lorenz and Polarization Orderings of the Double-Pareto Lognormal Distribution and Other Size Distributions," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(2), pages 548-574, November.
    11. Jiong Liu & R. A. Serota, 2023. "Rethinking Generalized Beta family of distributions," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 96(2), pages 1-14, February.
    12. Jordá, Vanesa & Niño-Zarazúa, Miguel, 2019. "Global inequality: How large is the effect of top incomes?," World Development, Elsevier, vol. 123(C), pages 1-1.
    13. Jiong Liu & R. A. Serota, 2022. "Rethinking Generalized Beta Family of Distributions," Papers 2209.05225, arXiv.org.
    14. José María Sarabia & Vanesa Jordá & Faustino Prieto & Montserrat Guillén, 2020. "Multivariate Classes of GB2 Distributions with Applications," Mathematics, MDPI, vol. 9(1), pages 1-21, December.
    15. Dashti Moghaddam, M. & Mills, Jeffrey & Serota, R.A., 2020. "From a stochastic model of economic exchange to measures of inequality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 559(C).
    16. Kyohei Shibano & Gento Mogi, 2020. "Electricity Consumption Forecast Model Using Household Income: Case Study in Tanzania," Energies, MDPI, vol. 13(10), pages 1-14, May.

  5. Griffiths, William E. & Hajargasht, Gholamreza, 2016. "Some models for stochastic frontiers with endogeneity," Journal of Econometrics, Elsevier, vol. 190(2), pages 341-348.

    Cited by:

    1. Banchayehu Tessema Assefa & Jordan Chamberlin & Pytrik Reidsma & João Vasco Silva & Martin K. Ittersum, 2020. "Unravelling the variability and causes of smallholder maize yield gaps in Ethiopia," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(1), pages 83-103, February.
    2. Anne Musson & Damien Rousselière, 2018. "Exploring the effect of crisis on cooperatives: A Bayesian performance analysis of French craftsmen cooperatives," Working Papers hal-01911612, HAL.
    3. Antonio Carvalho, 2016. "Energy Efficiency in Transition Economies: A Stochastic Frontier Approach," CEERP Working Paper Series 004, Centre for Energy Economics Research and Policy, Heriot-Watt University.
    4. Kutlu, Levent & Nair-Reichert, Usha, 2022. "Executive compensation and the potential for additional efficiency gains: Evidence from the Indian manufacturing sector," Economic Modelling, Elsevier, vol. 114(C).
    5. Malikov, Emir, 2016. "Estimating Multi-Product Production Functions and Productivity using Control Functions," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235108, Agricultural and Applied Economics Association.
    6. Guarini, Giulio & Laureti, Tiziana & Garofalo, Giuseppe, 2020. "Socio-institutional determinants of educational resource efficiency according to the capability approach: An endogenous stochastic frontier analysis," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    7. Jing, Chunxiao & Foltz, Jeremy D., 2024. "Can the Service Sector Lead Structural Transformation in Africa? Evidence from Côte d'Ivoire," 2024 Annual Meeting, July 28-30, New Orleans, LA 343566, Agricultural and Applied Economics Association.
    8. Paul, Satya & Shankar, Sriram, 2018. "On estimating efficiency effects in a stochastic frontier model," European Journal of Operational Research, Elsevier, vol. 271(2), pages 769-774.
    9. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    10. 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.
    11. Iordanis Parikoglou & Grigorios Emvalomatis & Doris Läpple & Fiona Thorne & Michael Wallace, 2024. "The contribution of innovation to farm-level productivity," Journal of Productivity Analysis, Springer, vol. 62(2), pages 239-255, October.
    12. Badunenko, Oleg & D’Inverno, Giovanna & De Witte, Kristof, 2023. "On distinguishing the direct causal effect of an intervention from its efficiency-enhancing effects," European Journal of Operational Research, Elsevier, vol. 310(1), pages 432-447.
    13. 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.
    14. Xiao-Yan Liu & Li-Qiu Liu & Bai-Chen Xie & Michael G. Pollitt, 2018. "Does environmental heterogeneity affect the productive efficiency of grid utilities in China?," Working Papers EPRG 1820, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    15. Laure Latruffe & Boris E. Bravo-Ureta & Alain Carpentier & Yann Desjeux & Víctor H. Moreira, 2017. "Subsidies and Technical Efficiency in Agriculture: Evidence from European Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(3), pages 783-799.
    16. Amsler, Christine & Prokhorov, Artem & Schmidt, Peter, 2017. "Endogenous Environmental Variables In Stochastic Frontier Models," Working Papers 2017-02, University of Sydney Business School, Discipline of Business Analytics.
    17. Kutlu, Levent & Tran, Kien C. & Tsionas, Mike G., 2020. "A spatial stochastic frontier model with endogenous frontier and environmental variables," European Journal of Operational Research, Elsevier, vol. 286(1), pages 389-399.
    18. D’Inverno, Giovanna & Vidoli, Francesco & De Witte, Kristof, 2023. "Sustainable budgeting and financial balance: Which lever will you pull?," European Journal of Operational Research, Elsevier, vol. 309(2), pages 857-871.
    19. Heesun Jang & Hyunhee Kim & Hojeong Park, 2020. "Spatiotemporal analysis of Korean ginseng farm productivity," Journal of Productivity Analysis, Springer, vol. 53(1), pages 69-78, February.
    20. 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.
    21. 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.
    22. Emir Malikov & Gudbrand Lien, 2021. "Proxy Variable Estimation of Multiproduct Production Functions," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1878-1902, October.
    23. Sun, Sunny Li & Chen, Victor Z. & Sunny, Sanwar A. & Chen, Jie, 2019. "Venture capital as an innovation ecosystem engineer in an emerging market," International Business Review, Elsevier, vol. 28(5), pages 1-1.
    24. Dalheimer, Bernhard & Parikoglou, Iordanis & Brambach, Fabian & Yanita, Mirawati & Kreft, Holger & Brümmer, Bernhard, 2024. "On the palm oil-biodiversity trade-off: Environmental performance of smallholder producers," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    25. Massimiliano Giacalone & Demetrio Panarello & Raffaele Mattera, 2018. "Multicollinearity in regression: an efficiency comparison between Lp-norm and least squares estimators," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(4), pages 1831-1859, July.
    26. Levent Kutlu & Ran Wang, 2018. "Estimation of cost efficiency without cost data," Journal of Productivity Analysis, Springer, vol. 49(2), pages 137-151, June.
    27. Kutlu, Levent & Tran, Kien C. & Tsionas, Mike G., 2019. "A time-varying true individual effects model with endogenous regressors," Journal of Econometrics, Elsevier, vol. 211(2), pages 539-559.
    28. Yang, Zhenbing & Shao, Shuai & Yang, Lili & Miao, Zhuang, 2018. "Improvement pathway of energy consumption structure in China's industrial sector: From the perspective of directed technical change," Energy Economics, Elsevier, vol. 72(C), pages 166-176.
    29. Mustafa U. Karakaplan & Levent Kutlu, 2017. "Handling Endogeneity in Stochastic Frontier Analysis," Economics Bulletin, AccessEcon, vol. 37(2), pages 889-901.
    30. Levent Kutlu & Kien C. Tran & Mike G. Tsionas, 2020. "Unknown latent structure and inefficiency in panel stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 54(1), pages 75-86, August.
    31. Preciado Arreola, José Luis & Johnson, Andrew L. & Chen, Xun C. & Morita, Hiroshi, 2020. "Estimating stochastic production frontiers: A one-stage multivariate semiparametric Bayesian concave regression method," European Journal of Operational Research, Elsevier, vol. 287(2), pages 699-711.

  6. Rao, D.S. Prasada & Hajargasht, Gholamreza, 2016. "Stochastic approach to computation of purchasing power parities in the International Comparison Program (ICP)," Journal of Econometrics, Elsevier, vol. 191(2), pages 414-425.

    Cited by:

    1. Sebastian Weinand, 2022. "Measuring spatial price differentials at the basic heading level: a comparison of stochastic index number methods," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 106(1), pages 117-143, March.
    2. Gholamreza Hajargasht & D.S. Prasada Rao, 2019. "Multilateral Index Number Systems for International Price Comparisons: Properties, Existence and Uniqueness," CEPA Working Papers Series WP032019, School of Economics, University of Queensland, Australia.
    3. Diewert, Erwin, 2019. "Quality Adjustment and Hedonics: A Unified Approach," Microeconomics.ca working papers erwin_diewert-2019-2, Vancouver School of Economics, revised 14 Mar 2019.
    4. Laureti Tiziana & Polidoro Federico, 2022. "Using Scanner Data for Computing Consumer Spatial Price Indexes at Regional Level: An Empirical Application for Grocery Products in Italy," Journal of Official Statistics, Sciendo, vol. 38(1), pages 23-56, March.
    5. Ranjan Ray, 2017. "The Role of Prices in Welfare Comparisons: Methodological Developments and a Selective Survey of the Empirical Literature," The Economic Record, The Economic Society of Australia, vol. 93(301), pages 314-332, June.
    6. von Auer, Ludwig & Weinand, Sebastian, 2022. "A nonlinear generalization of the country-product-dummy method," Discussion Papers 45/2022, Deutsche Bundesbank.
    7. Adam Gorajek, 2018. "Econometric Perspectives on Economic Measurement," RBA Research Discussion Papers rdp2018-08, Reserve Bank of Australia.
    8. Cassetta, Ernesto & Nava, Consuelo R. & Zoia, Maria Grazia, 2022. "A three-step procedure to investigate the convergence of electricity and natural gas prices in the European Union," Energy Economics, Elsevier, vol. 105(C).
    9. Robert Inklaar & D. S. Prasada Rao, 2017. "Cross-Country Income Levels over Time: Did the Developing World Suddenly Become Much Richer?," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(1), pages 265-290, January.
    10. Weinand, Sebastian, 2020. "Measuring spatial price differentials: A comparison of stochastic index number methods," Discussion Papers 12/2020, Deutsche Bundesbank.
    11. Gholamreza Hajargasht, 2022. "Reliability of Ideal Indexes," Papers 2210.13684, arXiv.org.
    12. José‐María Montero & Tiziana Laureti & Román Mínguez & Gema Fernández‐Avilés, 2020. "A Stochastic Model with Penalized Coefficients for Spatial Price Comparisons: An Application to Regional Price Indexes in Italy," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(3), pages 512-533, September.
    13. Chihiro Shimizu & Erwin Diewert, 2023. "Scanner Data, Product Churn and Quality Adjustment," Working Papers e185, Tokyo Center for Economic Research.
    14. Chunyun Wang & Xiaoxi Yu & Jiang Zhao, 2022. "Identifying the Real Income Disparity in Prefecture-Level Cities in China: Measurement of Subnational Purchasing Power Parity Based on the Stochastic Approach," Sustainability, MDPI, vol. 14(16), pages 1-24, August.
    15. Reza Hajargasht & Robert J. Hill & D. S. Prasada Rao & Sriram Shankar, 2018. "Spatial Chaining in International Comparisons of Prices and Real Incomes," Graz Economics Papers 2018-03, University of Graz, Department of Economics.
    16. Consuelo Nava & Maria Grazia Zoia, 2019. "An econometric analysis of the Italian cultural supply," Papers 1910.00073, arXiv.org, revised May 2020.
    17. Ilaria Benedetti & Tiziana Laureti & Luigi Palumbo & Brandon M. Rose, 2022. "Computation of High-Frequency Sub-National Spatial Consumer Price Indexes Using Web Scraping Techniques," Economies, MDPI, vol. 10(4), pages 1-20, April.
    18. Consuelo R. Nava & Antonio Pesce & Maria Grazia Zoia, 2019. "A new proposal for the construction of a multi-period/multilateral price index," DISCE - Quaderni del Dipartimento di Politica Economica dipe0007, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    19. Benedetti Ilaria & Biggeri Luigi & Laureti Tiziana, 2022. "Sub-National Spatial Price Indexes for Housing: Methodological Issues and Computation for Italy," Journal of Official Statistics, Sciendo, vol. 38(1), pages 57-82, March.
    20. Hajargasht, Gholamreza & Prasada Rao, D.S. & Valadkhani, Abbas, 2019. "Reliability of basic heading PPPs," Economics Letters, Elsevier, vol. 180(C), pages 102-107.

  7. Griffiths, William & Hajargasht, Gholamreza, 2015. "On GMM estimation of distributions from grouped data," Economics Letters, Elsevier, vol. 126(C), pages 122-126.

    Cited by:

    1. Tobias Eckernkemper & Bastian Gribisch, 2021. "Classical and Bayesian Inference for Income Distributions using Grouped Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(1), pages 32-65, February.
    2. Duangkamon Chotikapanich & William E. Griffiths & Gholamreza Hajargasht & Wasana Karunarathne & D. S. Prasada Rao, 2018. "Using the GB2 Income Distribution," Econometrics, MDPI, vol. 6(2), pages 1-24, April.
    3. Sugasawa, Shonosuke & Kobayashi, Genya & Kawakubo, Yuki, 2020. "Estimation and inference for area-wise spatial income distributions from grouped data," Computational Statistics & Data Analysis, Elsevier, vol. 145(C).

  8. Gholamreza Hajargasht, 2015. "Stochastic frontiers with a Rayleigh distribution," Journal of Productivity Analysis, Springer, vol. 44(2), pages 199-208, October.

    Cited by:

    1. Kamil Makieła & Błażej Mazur, 2022. "Model uncertainty and efficiency measurement in stochastic frontier analysis with generalized errors," Journal of Productivity Analysis, Springer, vol. 58(1), pages 35-54, August.
    2. Kamil Makieła & Błażej Mazur, 2020. "Bayesian Model Averaging and Prior Sensitivity in Stochastic Frontier Analysis," Econometrics, MDPI, vol. 8(2), pages 1-22, April.
    3. Ke Wang & Xin Ye, 2021. "Development of alternative stochastic frontier models for estimating time-space prism vertices," Transportation, Springer, vol. 48(2), pages 773-807, April.
    4. Phill Wheat & Alexander D. Stead & William H. Greene, 2019. "Robust stochastic frontier analysis: a Student’s t-half normal model with application to highway maintenance costs in England," Journal of Productivity Analysis, Springer, vol. 51(1), pages 21-38, February.
    5. Kamil Makie{l}a & B{l}a.zej Mazur, 2020. "Stochastic Frontier Analysis with Generalized Errors: inference, model comparison and averaging," Papers 2003.07150, arXiv.org, revised Oct 2020.

  9. Hajargasht, Gholamreza & Griffiths, William E., 2013. "Pareto–lognormal distributions: Inequality, poverty, and estimation from grouped income data," Economic Modelling, Elsevier, vol. 33(C), pages 593-604.

    Cited by:

    1. Winkelried, Diego & Escobar, Bruno, 2020. "Declining inequality in Latin America? Robustness checks for Peru," MPRA Paper 106566, University Library of Munich, Germany.
    2. Mathias Silva & Michel Lubrano, 2023. "Bayesian correction for missing rich using a Pareto II tail with unknown threshold: Combining EU-SILC and WID data," Working Papers hal-04231661, HAL.
    3. Castañeda Garza, Diego, 2024. "Moderate opulence: the evolution of wealth inequality in Mexico in its first century of independence," Explorations in Economic History, Elsevier, vol. 92(C).
    4. Safari, Muhammad Aslam Mohd & Masseran, Nurulkamal & Ibrahim, Kamarulzaman & AL-Dhurafi, Nasr Ahmed, 2020. "The power-law distribution for the income of poor households," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
    5. Michal Fabinger & E. Glen Weyl, 2018. "Functional Forms for Tractable Economic Models and the Cost Structure of International Trade," CIRJE F-Series CIRJE-F-1092, CIRJE, Faculty of Economics, University of Tokyo.
    6. Mathias Silva, 2023. "Parametric estimation of income distributions using grouped data: an Approximate Bayesian Computation approach," AMSE Working Papers 2310, Aix-Marseille School of Economics, France.
    7. Toda, Alexis Akira, 2015. "A Note on the Size Distribution of Consumption: More Double Pareto than Lognormal," MPRA Paper 78979, University Library of Munich, Germany.
    8. Michal Fabinger & E. Glen Weyl, 2016. "The Average-Marginal Relationship and Tractable Equilibrium Forms," CIRJE F-Series CIRJE-F-1028, CIRJE, Faculty of Economics, University of Tokyo.
    9. E. Weyl & Michal Fabinger, 2015. "A Tractable Approach to Pass-Through Patterns," 2015 Meeting Papers 747, Society for Economic Dynamics.
    10. Enrique Calderín-Ojeda & Kevin Fergusson & Xueyuan Wu, 2017. "An EM Algorithm for Double-Pareto-Lognormal Generalized Linear Model Applied to Heavy-Tailed Insurance Claims," Risks, MDPI, vol. 5(4), pages 1-24, November.
    11. Nicholas Rohde, 2016. "J-divergence measurements of economic inequality," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(3), pages 847-870, June.
    12. William Griffiths & Duangkamon Chotikapanich & Gholamreza Hajargasht, 2021. "A Note on Inequality Measures for Mixtures of Double Pareto-Lognormal Distributions," Monash Econometrics and Business Statistics Working Papers 14/21, Monash University, Department of Econometrics and Business Statistics.
    13. Michal Fabinger & E. Glen Weyl, 2016. "Functional Forms for Tractable Economic Models and the Cost Structure of International Trade," Papers 1611.02270, arXiv.org, revised Aug 2018.
    14. Masato Okamoto, 2022. "Lorenz and Polarization Orderings of the Double-Pareto Lognormal Distribution and Other Size Distributions," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(2), pages 548-574, November.
    15. Fernández-Morales, Antonio, 2016. "Measuring poverty with the Foster, Greer and Thorbecke indexes based on the Gamma distribution," MPRA Paper 69648, University Library of Munich, Germany.
    16. D.S. Prasada Rao & Alicia N. Rambald & Gholamreza Hajargasht & William E Griffiths, 2023. "The University of Queensland International Comparison Database, UQICD V3.0: User Guide," CEPA Working Papers Series WP092022, School of Economics, University of Queensland, Australia.
    17. José María Sarabia & Vanesa Jordá & Lorena Remuzgo, 2017. "The Theil Indices in Parametric Families of Income Distributions—A Short Review," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(4), pages 867-880, December.
    18. Antinyan, Armenak & Horváth, Gergely & Jia, Mofei, 2019. "Social status competition and the impact of income inequality in evolving social networks: An agent-based model," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 79(C), pages 53-69.
    19. Duangkamon Chotikapanich & William E. Griffiths & Gholamreza Hajargasht & Wasana Karunarathne & D. S. Prasada Rao, 2018. "Using the GB2 Income Distribution," Econometrics, MDPI, vol. 6(2), pages 1-24, April.
    20. Sugasawa, Shonosuke & Kobayashi, Genya & Kawakubo, Yuki, 2020. "Estimation and inference for area-wise spatial income distributions from grouped data," Computational Statistics & Data Analysis, Elsevier, vol. 145(C).
    21. William Griffiths & Duangkamon Chotikapanich & Gholamreza Hajargasht, 2022. "A note on inequality measures for mixtures of double Pareto–lognormal distributions," Australian Economic Papers, Wiley Blackwell, vol. 61(2), pages 280-290, June.

  10. Gholamreza Hajargasht & William E. Griffiths & Joseph Brice & D.S. Prasada Rao & Duangkamon Chotikapanich, 2012. "Inference for Income Distributions Using Grouped Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(4), pages 563-575, May.
    See citations under working paper version above.
  11. Gholamreza Hajargasht & D. S. Prasada Rao, 2010. "Stochastic Approach To Index Numbers For Multilateral Price Comparisons And Their Standard Errors," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(s1), pages 32-58, June.
    See citations under working paper version above.
  12. Hajargasht, Gholamreza & Coelli, Tim & Rao, D.S. Prasada, 2008. "A dual measure of economies of scope," Economics Letters, Elsevier, vol. 100(2), pages 185-188, August.
    See citations under working paper version above.

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  1. Economic Growth and Change of African Countries

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 12 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (9) 2004-06-09 2004-10-30 2012-07-23 2012-07-23 2015-11-01 2017-04-16 2017-04-16 2018-10-22 2019-03-11. Author is listed
  2. NEP-SEA: South East Asia (3) 2012-07-23 2015-11-01 2018-10-22
  3. NEP-EFF: Efficiency and Productivity (2) 2004-06-02 2017-04-16
  4. NEP-INT: International Trade (2) 2019-01-07 2019-02-18
  5. NEP-CIS: Confederation of Independent States (1) 2012-07-23
  6. NEP-ETS: Econometric Time Series (1) 2019-03-11
  7. NEP-MAC: Macroeconomics (1) 2018-03-05
  8. NEP-ORE: Operations Research (1) 2015-11-01

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