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William Edward Griffiths

Citations

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

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Chotikapanich, Duangkamon & Griffiths, William E, 2002. "Estimating Lorenz Curves Using a Dirichlet Distribution," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 290-295, April.

    Mentioned in:

    1. Estimating Lorenz Curves Using a Dirichlet Distribution (J Business & Econ Statistics 2002) in ReplicationWiki ()

Working papers

  1. 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. 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).
    2. 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.
    3. 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.
    4. Vladimir Hlasny, 2021. "Parametric representation of the top of income distributions: Options, historical evidence, and model selection," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1217-1256, September.
    5. 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.
    6. 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.
    7. 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.
    8. Walter Bossert & Conchita D’Ambrosio & Kohei Kamaga, 2021. "Extreme Values, Means, and Inequality Measurement," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(3), pages 564-590, September.
    9. Jiong Liu & R. A. Serota, 2022. "Rethinking Generalized Beta Family of Distributions," Papers 2209.05225, arXiv.org.
    10. Jiong Liu & Hamed Farahani & R. A. Serota, 2023. "Exploring Distributions of House Prices and House Price Indices," Papers 2312.14325, arXiv.org.
    11. Mathias Silva, 2023. "Parametric models of income distributions integrating misreporting and non-response mechanisms," AMSE Working Papers 2311, Aix-Marseille School of Economics, France.
    12. 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).
    13. 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.
    14. 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.
    15. 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.

  2. David Lander & David Gunawan & William Griffiths & Duangkamon Chotikapanich, 2017. "Bayesian assessment of Lorenz and stochastic dominance," Monash Econometrics and Business Statistics Working Papers 15/17, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Edwin Fourrier-Nicolai & Michel Lubrano, 2017. "Bayesian Inference for TIP curves: An Application to Child Poverty in Germany," Working Papers halshs-01494354, HAL.
    2. 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.
    3. Michel Lubrano & Zhou Xun, 2023. "The Bayesian approach to poverty measurement," Post-Print hal-04347292, HAL.

  3. 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. 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.
    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.

  4. 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.

  5. Gaétan de Rassenfosse & William E. Griffiths & Adam B. Jaffe & Elizabeth Webster, 2016. "Low-quality Patents in the Eye of the Beholder: Evidence from Multiple Examiners," NBER Working Papers 22244, National Bureau of Economic Research, Inc.

    Cited by:

    1. Higham, Kyle & de Rassenfosse, Gaetan & Jaffe, Adam B, 2020. "Patent Quality: Towards a Systematic Framework for Analysis and Measurement," SocArXiv 49qxk, Center for Open Science.
    2. de Rassenfosse, Gaétan & Grazzi, Marco & Moschella, Daniele & Pellegrino, Gabriele, 2022. "International patent protection and trade: Transaction-level evidence," European Economic Review, Elsevier, vol. 147(C).
    3. de Rassenfosse, Gaetan & Higham, Kyle, 2019. "Decentralising the Patent System," SocArXiv qzmf8, Center for Open Science.
    4. Jussi Heikkilä & Michael Verba, 2018. "The role of utility models in patent filing strategies: evidence from European countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 689-719, August.
    5. Arianna Martinelli & Julia Mazzei, 2022. "Death squad or quality improvement? The impact of introducing post-grant review on U.S. patent quality," LEM Papers Series 2022/34, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    6. Gaétan de Rassenfosse & Emilio Raiteri, 2022. "Technology Protectionism and the Patent System: Evidence from China," Journal of Industrial Economics, Wiley Blackwell, vol. 70(1), pages 1-43, March.
    7. Tetsuo Wada, 2020. "When do the USPTO examiners cite as the EPO examiners? An analysis of examination spillovers through rejection citations at the international family-to-family level," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1591-1615, November.
    8. Ronald B. Davies & Dieter Franz Kogler & Ryan M. Hynes, 2020. "Patent Boxes and the Success Rate of Applications," Working Papers 202018, School of Economics, University College Dublin.
    9. Sharma, Abhijit & Sousa, Cristina & Woodward, Richard, 2022. "Determinants of innovation outcomes: The role of institutional quality," Technovation, Elsevier, vol. 118(C).
    10. Zhao, Long, 2022. "On the grant rate of Patent Cooperation Treaty applications: Theory and evidence," Economic Modelling, Elsevier, vol. 117(C).
    11. Kwon, Seokbeom, 2021. "The prevalence of weak patents in the United States: A new method to identify weak patents and the implications for patent policy," Technology in Society, Elsevier, vol. 64(C).
    12. Bhaven N. Sampat & Kenneth C. Shadlen, 2017. "Secondary Pharmaceutical Patenting: A Global Perspective," NBER Working Papers 23114, National Bureau of Economic Research, Inc.
    13. Rudi Bekkers & Arianna Martinelli & Federico Tamagni, 2016. "The causal effect of including standards-related documentation into patent prior art: evidence from a recent EPO policy change," LEM Papers Series 2016/11, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    14. Raffiee, Joseph & Teodoridis, Florenta & Fehder, Daniel, 2023. "Partisan patent examiners? Exploring the link between the political ideology of patent examiners and patent office outcomes," Research Policy, Elsevier, vol. 52(9).
    15. P. G. J. Persoon & R. N. A. Bekkers & F. Alkemade, 2020. "How cumulative is technological knowledge?," Papers 2012.00095, arXiv.org, revised May 2021.
    16. Gaétan de Rassenfosse & Reza Hosseini, 2020. "Discrimination against foreigners in the U.S. patent system," Journal of International Business Policy, Palgrave Macmillan, vol. 3(4), pages 349-366, December.
    17. NAGAOKA Sadao & YAMAUCHI Isamu, 2017. "Information Constraint of the Patent Office and Examination Quality: Evidence from the effects of initiation lags," Discussion papers 17040, Research Institute of Economy, Trade and Industry (RIETI).
    18. Juranek, Steffen, 2018. "Investing in legal advice," Information Economics and Policy, Elsevier, vol. 44(C), pages 28-46.
    19. Nagaoka, Sadao & Yamauchi, Isamu, 2022. "Information constraints and examination quality in patent offices: The effect of initiation lags," International Journal of Industrial Organization, Elsevier, vol. 82(C).
    20. Marco, Alan C. & Sarnoff, Joshua D. & deGrazia, Charles A.W., 2019. "Patent claims and patent scope," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    21. Drivas, Kyriakos & Kaplanis, Ioannis, 2020. "The role of international collaborations in securing the patent grant," Journal of Informetrics, Elsevier, vol. 14(4).
    22. Gaétan de Rassenfosse & Adam B. Jaffe, 2014. "Are Patent Fees Effective at Weeding out Low-quality Patents?," NBER Working Papers 20785, National Bureau of Economic Research, Inc.
    23. Gaétan de Rassenfosse & Emilio Raiteri & Rudi Bekkers, 2023. "Discrimination in the Patent System: Evidence from Standard-Essential Patents," Journal of Law and Economics, University of Chicago Press, vol. 66(4), pages 739-763.
    24. Stefano Comino & Fabio M. Manenti & NIkolaus Thumm, 2017. "The Role of Patents in Information and Communication Technologies (ICTs). A survey of the Literature," "Marco Fanno" Working Papers 0212, Dipartimento di Scienze Economiche "Marco Fanno".
    25. Goldstein, Anna P. & Narayanamurti, Venkatesh, 2018. "Simultaneous pursuit of discovery and invention in the US Department of Energy," Research Policy, Elsevier, vol. 47(8), pages 1505-1512.
    26. Bruns, Stephan B. & Kalthaus, Martin, 2020. "Flexibility in the selection of patent counts: Implications for p-hacking and evidence-based policymaking," Research Policy, Elsevier, vol. 49(1).

  6. R. Dixon & W. Griffiths & G.C. Lim, 2014. "Lay people’s models of the economy: A study based on surveys of consumer sentiments," Department of Economics - Working Papers Series 1179, The University of Melbourne.

    Cited by:

    1. Elisa Darriet & Sacha Bourgeois-Gironde, 2015. "Why lay social representations of the economy should count in economics," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 14(2), pages 245-258, November.
    2. van Giesen, Roxanne I. & Pieters, Rik, 2019. "Climbing out of an economic crisis: A cycle of consumer sentiment and personal stress," Journal of Economic Psychology, Elsevier, vol. 70(C), pages 109-124.

  7. Charley Xia and William Griffiths, 2012. "Bayesian Unit Root Testing: The Effect Of Choice Of Prior On Test Outcomes," Department of Economics - Working Papers Series 1152, The University of Melbourne.

    Cited by:

    1. Magris Martin & Iosifidis Alexandros, 2021. "Approximate Bayes factors for unit root testing," Papers 2102.10048, arXiv.org, revised Feb 2021.
    2. Wu, Xuedong & Dorfman, Jeffrey H. & Karali, Berna, 2015. "The Impact of Data Frequency On Stationarity Tests Of Commodity Futures Prices," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205569, Agricultural and Applied Economics Association.

  8. 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. 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.
    2. 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.
    3. Duangkamon Chotikapanich & William Griffiths & Wasana Karunarathne & D.S. Prasada Rao, 2013. "Calculating Poverty Measures from the Generalised Beta Income Distribution," The Economic Record, The Economic Society of Australia, vol. 89, pages 48-66, June.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Michał Brzeziński, 2013. "Parametric modelling of income distribution in Central and Eastern Europe," Working Papers 2013-31, Faculty of Economic Sciences, University of Warsaw.
    9. Gholamreza Hajargasht & William E. Griffiths, 2016. "Inference for Lorenz Curves," Department of Economics - Working Papers Series 2022, The University of Melbourne.
    10. 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.
    11. Griffiths, William & Hajargasht, Gholamreza, 2015. "On GMM estimation of distributions from grouped data," Economics Letters, Elsevier, vol. 126(C), pages 122-126.
    12. 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.
    13. 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.
    14. 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.
    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. 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.
    17. 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.
    18. 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.
    19. 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.
    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. 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.
    22. Helton Saulo & Roberto Vila & Giovanna V. Borges & Marcelo Bourguignon, 2022. "Parametric quantile regression for income data," Papers 2207.06558, arXiv.org.
    23. 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.

  9. 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.

    Cited by:

    1. Brian A`Hearn & Nicola Amendola & Giovanni Vecchi, 2016. "On Historical Household Budgets," Working Papers Series 45, Institute for New Economic Thinking.
    2. Michał Brzeziński, 2013. "Parametric modelling of income distribution in Central and Eastern Europe," Working Papers 2013-31, Faculty of Economic Sciences, University of Warsaw.
    3. 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.
    4. 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.
    5. 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.
    6. Callealta Barroso, Francisco Javier & García-Pérez, Carmelo & Prieto-Alaiz, Mercedes, 2020. "Modelling income distribution using the log Student’s t distribution: New evidence for European Union countries," Economic Modelling, Elsevier, vol. 89(C), pages 512-522.
    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.

  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.

    Cited by:

    1. 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.
    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. 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.

  11. David Warner & Prasada Rao & William E. Griffiths & Duangkamon Chotikapanich, 2011. "Global Inequality: Levels and Trends, 1993-2005," Discussion Papers Series 436, School of Economics, University of Queensland, Australia.

    Cited by:

    1. 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.

  12. Andrea Vinh & William E. Griffiths & Duangkamon Chotikapanich, 2010. "Bivariate Income Distributions for AssessingInequality and Poverty Under Dependent Samples," Department of Economics - Working Papers Series 1093, The University of Melbourne.

    Cited by:

    1. 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.
    2. Callealta Barroso, Francisco Javier & García-Pérez, Carmelo & Prieto-Alaiz, Mercedes, 2020. "Modelling income distribution using the log Student’s t distribution: New evidence for European Union countries," Economic Modelling, Elsevier, vol. 89(C), pages 512-522.
    3. 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.
    4. Amponsah, Mary & Agbola, Frank W. & Mahmood, Amir, 2023. "The relationship between poverty, income inequality and inclusive growth in Sub-Saharan Africa," Economic Modelling, Elsevier, vol. 126(C).
    5. Yang, Xipei & Frees, Edward W. & Zhang, Zhengjun, 2011. "A generalized beta copula with applications in modeling multivariate long-tailed data," Insurance: Mathematics and Economics, Elsevier, vol. 49(2), pages 265-284, September.
    6. Lee, Chien-Chiang & Chang, Chi-Hung & Chen, Mei-Ping, 2015. "Industry co-movements of American depository receipts: Evidences from the copula approaches," Economic Modelling, Elsevier, vol. 46(C), pages 301-314.

  13. William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2010. "A Stochastic Frontier Model for Discrete Ordinal Outcomes: A Health Production Function," Monash Econometrics and Business Statistics Working Papers 3/10, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Enrica Chiappero‐Martinetti & Paola Salardi & Francesco Scervini, 2019. "Estimating conversion rates: A new empirical strategy with an application to health care in Italy," Health Economics, John Wiley & Sons, Ltd., vol. 28(6), pages 748-764, June.

  14. Duangkamon Chotikapanich & William E Griffiths & D.S. Prasada Rao & Vicar Valencia, 2009. "Global Income Distribution and Inequality: 1993 and 2000," Department of Economics - Working Papers Series 1062, The University of Melbourne.

    Cited by:

    1. Xia, Yin-Shuang & Sun, Lu-Xuan & Feng, Chao, 2022. "What causes spatial inequalities of low-carbon development in China's transport sector? A newly proposed meta-frontier DEA-based decomposition approach," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    2. 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.
    3. 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.
    4. David Warner & Prasada Rao & William E. Griffiths & Duangkamon Chotikapanich, 2011. "Global Inequality: Levels and Trends, 1993-2005," Discussion Papers Series 436, School of Economics, University of Queensland, Australia.
    5. Thomas Goda, 2013. "Changes in income inequality from a global perspective: An overview," Working Papers PKWP1303, Post Keynesian Economics Society (PKES).
    6. Vanesa Jordá & José Sarabia, 2015. "International Convergence in Well-Being Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 120(1), pages 1-27, January.
    7. Gholamreza Hajargsht & William E. Griffiths & Joseph Brice & D.S. Prasada Rao & Duangkamon Chotikapanich, 2011. "GMM Estimation of Income Distributions from Grouped Data," Department of Economics - Working Papers Series 1129, The University of Melbourne.

  15. William Griffiths & Elizabeth Webster, 2009. "What Governs Firm-Level R&D: Internal or External Factors?," Melbourne Institute Working Paper Series wp2009n13, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.

    Cited by:

    1. Andræs Barge-Gil, 2013. "Open Strategies and Innovation Performance," Industry and Innovation, Taylor & Francis Journals, vol. 20(7), pages 585-610, October.
    2. Karpaty, Patrik & Tingvall, Patrik Gustavsson, 2011. "Offshoring and Home Country R&D," Working Paper Series in Economics and Institutions of Innovation 254, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    3. Reichardt, Kristin & Rogge, Karoline, 2014. "How the policy mix and its consistency impact innovation: Findings from company case studies on offshore wind in Germany," Working Papers "Sustainability and Innovation" S7/2014, Fraunhofer Institute for Systems and Innovation Research (ISI).

  16. William E Griffiths & Lisa S Newton & Christopher J O’Donnell, 2008. "Predictive Densities for Shire Level Wheat Yield in Western Australia," Department of Economics - Working Papers Series 1051, The University of Melbourne.

    Cited by:

    1. William Griffiths, 2002. "A Gibbs’ Sampler for the Parameters of a Truncated Multivariate Normal Distribution," Department of Economics - Working Papers Series 856, The University of Melbourne.
    2. Griffiths, W.E., 2001. "Bayesian Inference in the Seemingly Unrelated Regressions Models," Department of Economics - Working Papers Series 793, The University of Melbourne.

  17. Duangkamon Chotikapanich & William E Griffiths, 2008. "Estimating Income Distributions Using a Mixture of Gamma Densities," Department of Economics - Working Papers Series 1034, The University of Melbourne.

    Cited by:

    1. Ignacio González García & Alfonso Mateos Caballero, 2021. "Models of Wealth and Inequality Using Fiscal Microdata: Distribution in Spain from 2015 to 2020," Mathematics, MDPI, vol. 9(4), pages 1-24, February.
    2. Muhammad Hilmi Abdul Majid & Kamarulzaman Ibrahim & Nurulkamal Masseran, 2023. "Three-Part Composite Pareto Modelling for Income Distribution in Malaysia," Mathematics, MDPI, vol. 11(13), pages 1-15, June.
    3. David Gunawan & William Griffths & Anatasios Panagiotelis and Duangkamon Chotikapanich, 2017. "Bayesian Weighted Inference from Surveys "Abstract: Data from large surveys are often supplemented with sampling weights that are designed to reflect unequal probabilities of response and selecti," Department of Economics - Working Papers Series 2030, The University of Melbourne.
    4. Edwin Fourrier-Nicolai & Michel Lubrano, 2017. "Bayesian Inference for TIP curves: An Application to Child Poverty in Germany," Working Papers halshs-01494354, HAL.
    5. García-Fernández, Rosa María & Gottlieb, Daniel & Palacios-González, Frederico, 2013. "Polarization, growth and social policy in the case of Israel, 1997-2008," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-40.
    6. Stanislaw Maciej Kot, 2016. "Estimates Of The World Distribution Of Personal Incomes Based On Country Sample Clones," GUT FME Working Paper Series A 41, Faculty of Management and Economics, Gdansk University of Technology.
    7. David Warner & Prasada Rao & William E. Griffiths & Duangkamon Chotikapanich, 2011. "Global Inequality: Levels and Trends, 1993-2005," Discussion Papers Series 436, School of Economics, University of Queensland, Australia.
    8. Iead Rezek, 2011. "Constrained Mixture Models for Asset Returns Modelling," Papers 1103.2670, arXiv.org.
    9. Michel Lubrano & Abdoul Aziz Junior Ndoye, 2016. "Income inequality decomposition using a finite mixture of log-normal distributions: A Bayesian approach," Post-Print hal-01440303, HAL.
    10. 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.
    11. Callealta Barroso, Francisco Javier & García-Pérez, Carmelo & Prieto-Alaiz, Mercedes, 2020. "Modelling income distribution using the log Student’s t distribution: New evidence for European Union countries," Economic Modelling, Elsevier, vol. 89(C), pages 512-522.
    12. 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.
    13. 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.
    14. Mathias Silva, 2023. "Parametric models of income distributions integrating misreporting and non-response mechanisms," AMSE Working Papers 2311, Aix-Marseille School of Economics, France.
    15. J. F. Muñoz & E. à lvarez-Verdejo & R. M. García-Fernández, 2018. "On Estimating the Poverty Gap and the Poverty Severity Indices With Auxiliary Information," Sociological Methods & Research, , vol. 47(3), pages 598-625, August.
    16. Maxim Pinkovskiy & Xavier Sala-i-Martin, 2009. "Parametric Estimations of the World Distribution of Income," NBER Working Papers 15433, National Bureau of Economic Research, Inc.
    17. Nartikoev, Alan & Peresetsky, Anatoly, 2020. "Эндогенная Классификация Домохозяйств В Регионах России [Endogenous household classification: Russian regions]," MPRA Paper 104351, University Library of Munich, Germany.
    18. 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.
    19. Andrew C. Chang & Phillip Li & Shawn M. Martin, 2018. "Comparing cross‐country estimates of Lorenz curves using a Dirichlet distribution across estimators and datasets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(3), pages 473-478, April.

  18. Duangkamon Chotikapanich & D. S. Prasada Rao & William E. Griffiths & Vicar Valencia, 2007. "Global Inequality: Recent Evidence and Trends," WIDER Working Paper Series RP2007-01, World Institute for Development Economic Research (UNU-WIDER).

    Cited by:

    1. Peter Edward & Andy Sumner, 2013. "The Future of Global Poverty in a Multi-Speed World: New Estimates of Scale, Location and Cost," Working Papers 111, International Policy Centre for Inclusive Growth.
    2. Brown, Molly & Antle, John & Backlund, Peter & Carr, Edward & Easterling, Bill & Walsh, Margaret & Ammann, Caspar & Attavanich, Witsanu & Barrett, Chris & Bellemare, Marc & Dancheck, Violet & Funk, Ch, 2015. "Climate Change, Global Food Security and the U.S. Food System," MPRA Paper 105772, University Library of Munich, Germany.
    3. Harrington, Brooke, 2009. "Trust and estate planning: The emergence of a profession and its contribution to socio-economic inequality," MPIfG Discussion Paper 09/6, Max Planck Institute for the Study of Societies.
    4. Edward, Peter & Sumner, Andy, 2014. "Estimating the Scale and Geography of Global Poverty Now and in the Future: How Much Difference Do Method and Assumptions Make?," World Development, Elsevier, vol. 58(C), pages 67-82.
    5. Peter Edward & Andy Sumner, 2014. "The Poor, the Prosperous and the ‘Inbetweeners’: A Fresh Perspective on Global Society, Inequality and Growth," Working Papers 122, International Policy Centre for Inclusive Growth.
    6. Maxim Pinkovskiy & Xavier Sala-i-Martin, 2009. "Parametric Estimations of the World Distribution of Income," NBER Working Papers 15433, National Bureau of Economic Research, Inc.

  19. Duangkamon Chotikapanich & William E. Griffiths, 2006. "Bayesian Assessment of Lorenz and Stochastic Dominance in Income Distributions," Department of Economics - Working Papers Series 960, The University of Melbourne.

    Cited by:

    1. Kleiber, Christian, 2007. "A Guide to the Dagum Distributions," Working papers 2007/23, Faculty of Business and Economics - University of Basel.
    2. Edwin Fourrier-Nicolai & Michel Lubrano, 2017. "Bayesian Inference for TIP curves: An Application to Child Poverty in Germany," Working Papers halshs-01494354, HAL.
    3. Duangkamon Chotikapanich & William E. Griffiths, 2008. "Estimating Income Distributions Using a Mixture of Gamma Densities," Economic Studies in Inequality, Social Exclusion, and Well-Being, in: Duangkamon Chotikapanich (ed.), Modeling Income Distributions and Lorenz Curves, chapter 16, pages 285-302, Springer.
    4. Gunawan, David & Griffiths, William E. & Chotikapanich, Duangkamon, 2018. "Bayesian inference for health inequality and welfare using qualitative data," Economics Letters, Elsevier, vol. 162(C), pages 76-80.
    5. David Gunawan & William Griffths & Duangkamon Chotikapanich, 2017. "Bayesian Inference for Health Inequality and Welfare Using Qualitative Data "Abstract: We show how to use Bayesian inference to compare two ordinal categorical distributions commonly occurring wi," Department of Economics - Working Papers Series 2031, The University of Melbourne.
    6. David Lander & David Gunawan & William Griffiths & Duangkamon Chotikapanich, 2017. "Bayesian assessment of Lorenz and stochastic dominance," Monash Econometrics and Business Statistics Working Papers 15/17, Monash University, Department of Econometrics and Business Statistics.
    7. David Lander & David Gunawan & William E. Griffiths & Duangkamon Chotikapanich, 2016. "Bayesian Assessment of Lorenz and Stochastic Dominance Using a Mixture of Gamma Densities," Department of Economics - Working Papers Series 2023, The University of Melbourne.

  20. Duangkamon Chotikapanich & William E. Griffiths & D.S. Prasada Rao, 2005. "Estimating and Combining National Income Distributions using Limited Data," Department of Economics - Working Papers Series 926, The University of Melbourne.

    Cited by:

    1. Pinkovskiy, Maxim L., 2013. "World welfare is rising: Estimation using nonparametric bounds on welfare measures," Journal of Public Economics, Elsevier, vol. 97(C), pages 176-195.
    2. 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.
    3. Duangkamon Chotikapanich & William Griffiths & Wasana Karunarathne & D.S. Prasada Rao, 2013. "Calculating Poverty Measures from the Generalised Beta Income Distribution," The Economic Record, The Economic Society of Australia, vol. 89, pages 48-66, June.
    4. 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).
    5. 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.
    6. Duangkamon Chotikapanich & D. S. Prasada Rao & Kam Ki Tang, 2007. "Estimating Income Inequality In China Using Grouped Data And The Generalized Beta Distribution," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 53(1), pages 127-147, March.
    7. Duangkamon Chotikapanich & William E Griffiths & D.S. Prasada Rao & Vicar Valencia, 2009. "Global Income Distribution and Inequality: 1993 and 2000," Department of Economics - Working Papers Series 1062, The University of Melbourne.
    8. 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.
    9. Nicholas Rohde, 2008. "An alternative functional form for estimating the lorenz curve," Discussion Papers Series 384, School of Economics, University of Queensland, Australia.
    10. Rohde, Nicholas, 2009. "An alternative functional form for estimating the Lorenz curve," Economics Letters, Elsevier, vol. 105(1), pages 61-63, October.
    11. Gholamreza Hajargasht & William E. Griffiths, 2016. "Inference for Lorenz Curves," Department of Economics - Working Papers Series 2022, The University of Melbourne.
    12. 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.
    13. Richard Bluhm & Denis de Crombrugghe & Adam Szirmai, 2016. "Poverty Accounting. A fractional response approach to poverty decomposition," Working Papers 413, ECINEQ, Society for the Study of Economic Inequality.
    14. Chakravarty, Shoibal & Tavoni, Massimo, 2013. "Energy Poverty Alleviation and Climate Change Mitigation: Is There a Trade off?," Climate Change and Sustainable Development 148897, Fondazione Eni Enrico Mattei (FEEM).
    15. Duangkamon Chotikapanich & William E. Griffiths, 2008. "Estimating Income Distributions Using a Mixture of Gamma Densities," Economic Studies in Inequality, Social Exclusion, and Well-Being, in: Duangkamon Chotikapanich (ed.), Modeling Income Distributions and Lorenz Curves, chapter 16, pages 285-302, Springer.
    16. Griffiths, William & Hajargasht, Gholamreza, 2015. "On GMM estimation of distributions from grouped data," Economics Letters, Elsevier, vol. 126(C), pages 122-126.
    17. Lee, Jongchul, 2013. "A provincial perspective on income inequality in urban China and the role of property and business income," China Economic Review, Elsevier, vol. 26(C), pages 140-150.
    18. 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.
    19. Thomas Mayrhofer & Hendrik Schmitz, 2014. "Testing the relationship between income inequality and life expectancy: a simple correction for the aggregation effect when using aggregated data," Journal of Population Economics, Springer;European Society for Population Economics, vol. 27(3), pages 841-856, July.
    20. Khosravi Tanak, A. & Mohtashami Borzadaran, G.R. & Ahmadi, Jafar, 2018. "New functional forms of Lorenz curves by maximizing Tsallis entropy of income share function under the constraint on generalized Gini index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 511(C), pages 280-288.
    21. Jin, Hailong & Qian, Hang & Wang, Tong & Choi, E Kwan, 2014. "Income Distribution in Urban China: An Overlooked Data Inconsistency Issue," Staff General Research Papers Archive 37381, Iowa State University, Department of Economics.
    22. Weidong Huang, 2013. "Numerical method to calculate Gini coefficient from limited data of subgroups," Applied Economics Letters, Taylor & Francis Journals, vol. 20(13), pages 1249-1253, September.
    23. 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.
    24. Anthony F. Shorrocks & Guanghua Wan, 2008. "Ungrouping Income Distributions: Synthesising Samples for Inequality and Poverty Analysis," WIDER Working Paper Series RP2008-16, World Institute for Development Economic Research (UNU-WIDER).
    25. 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.
    26. David Warner & Prasada Rao & William E. Griffiths & Duangkamon Chotikapanich, 2011. "Global Inequality: Levels and Trends, 1993-2005," Discussion Papers Series 436, School of Economics, University of Queensland, Australia.
    27. Felipe G Operti & Emanuele Pugliese & José S Andrade Jr. & Luciano Pietronero & Andrea Gabrielli, 2018. "Dynamics in the Fitness-Income plane: Brazilian states vs World countries," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-20, June.
    28. Hurley, Mason, 2016. "Re-examining Changes in Farm Size Distributions Worldwide Using a Modified Generalized Method of Moments Approach," Master's Theses and Plan B Papers 249287, University of Minnesota, Department of Applied Economics.
    29. Feldkircher, Martin & Kakamu, Kazuhiko, 2018. "How does monetary policy affect income inequality in Japan? Evidence from grouped data," Working Papers in Regional Science 2018/03, WU Vienna University of Economics and Business.
    30. David Warner & D. S. Prasada Rao & William E. Griffiths & Duangkamon Chotikapanich, 2014. "Global Inequality; Levels and Trends, 1993–2005: How Sensitive are These to the Choice of PPPs and Real Income Measures?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(S2), pages 281-304, November.
    31. Cornwall, Gary J. & Parent, Olivier, 2017. "Embracing heterogeneity: the spatial autoregressive mixture model," Regional Science and Urban Economics, Elsevier, vol. 64(C), pages 148-161.
    32. Camelia Minoiu & Sanjay Reddy, 2014. "Kernel density estimation on grouped data: the case of poverty assessment," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 12(2), pages 163-189, June.
    33. Milan TEREK, 2017. "Regional Incomes Structure Analysis In Slovak Republic On The Basis Of Eu-Silc Data," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 64(2), pages 171-185, June.
    34. Bluhm, Richard & de Crombrugghe, Denis & Szirmai, Adam, 2018. "Poverty accounting," European Economic Review, Elsevier, vol. 104(C), pages 237-255.
    35. 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.
    36. 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).
    37. 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.
    38. Gholamreza Hajargsht & William E. Griffiths & Joseph Brice & D.S. Prasada Rao & Duangkamon Chotikapanich, 2011. "GMM Estimation of Income Distributions from Grouped Data," Department of Economics - Working Papers Series 1129, The University of Melbourne.
    39. Gerencia de Riesgo Asobancaria, 2011. "Estimación de la Carga Financiera en Colombia," Temas de Estabilidad Financiera 056, Banco de la Republica de Colombia.
    40. 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.
    41. 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.

  21. William E. Griffiths & Paul H. Jensen & Elizabeth Webster, 2005. "The Effects on Firm Profits of the Stock of Intellectual Property Rights," Melbourne Institute Working Paper Series wp2005n04, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.

    Cited by:

    1. Nicolas van Zeebroeck & Bruno van Pottelsberghe de la Potterie, 2011. "Filing strategies and patent value," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 20(6), pages 539-561, February.
    2. Nicolas van Zeebroeck, 2007. "The puzzle of patent value indicators," Working Papers CEB 07-023.RS, ULB -- Universite Libre de Bruxelles.
    3. Stoneman, Paul, 2011. "Soft Innovation: Economics, Product Aesthetics, and the Creative Industries," OUP Catalogue, Oxford University Press, number 9780199697021, Decembrie.
    4. Lampach, Nicolas & Wijtvliet, Wessel & Dyevre, Arthur, 2020. "Merchant hubs and spatial disparities in the private enforcement of international trade regimes," International Review of Law and Economics, Elsevier, vol. 64(C).
    5. Christine Greenhalgh & Mark Rogers, 2007. "The Value of Intellectual Property Rights to Firms," Discussion Papers 06-036, Stanford Institute for Economic Policy Research.
    6. Ventsislava Nikolova-Minkova, 2022. "Bulgarian and Foreign Trademark Activity in Bulgaria and Bulgarian Trademark Activity Abroad for the Period 2000-2019," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 173-196.
    7. Christine Greenhalgh & Mark Rogers, 2007. "Trade Marks and Performance in UK Firms: Evidence of Schumpeterian Competition through Innovation," Economics Series Working Papers 300, University of Oxford, Department of Economics.
    8. Nicolas van Zeebroeck, 2007. "Patents only live twice: a patent survival analysis in Europe," Working Papers CEB 07-028.RS, ULB -- Universite Libre de Bruxelles.
    9. Hyojeong Lim, 2015. "Impact of Intellectual Property Rights on Macroeconomic Growth : A Panel Data Study in Korea," Proceedings of International Academic Conferences 2503617, International Institute of Social and Economic Sciences.
    10. Paul H. Jensen & Elizabeth Webster, 2006. "Market Power, Brand Characteristics and Demand for Retail Grocery Products," Melbourne Institute Working Paper Series wp2006n05, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    11. Crass, Dirk & Schwiebacher, Franz, 2013. "Do trademarks diminish the substitutability of products in innovative knowledge-intensive services?," ZEW Discussion Papers 13-061, ZEW - Leibniz Centre for European Economic Research.
    12. Bessen, James, 2009. "Estimates of patent rents from firm market value," Research Policy, Elsevier, vol. 38(10), pages 1604-1616, December.

  22. W.E. Griffiths & Ma. Rebecca Valenzuela, 2004. "Gibbs Samplers for a Set of Seemingly Unrelated Regressions," Department of Economics - Working Papers Series 912, The University of Melbourne.

    Cited by:

    1. Hanneke Geerlings & Cees Glas & Wim Linden, 2011. "Modeling Rule-Based Item Generation," Psychometrika, Springer;The Psychometric Society, vol. 76(2), pages 337-359, April.
    2. Georges Bresson & Anoop Chaturvedi & Mohammad Arshad Rahman & Shalabh, 2020. "Seemingly Unrelated Regression with Measurement Error: Estimation via Markov chain Monte Carlo and Mean Field Variational Bayes Approximation," Papers 2006.07074, arXiv.org.

  23. Chris O'Donnell & W.E. Griffiths, 2004. "Estimating State-Contingent Production Frontiers," CEPA Working Papers Series WP022004, School of Economics, University of Queensland, Australia.

    Cited by:

    1. Adamson, David & Mallawaarachchi, Thilak & Quiggin, John, 2006. "Water use and salinity in the Murray-Darling Basin: a state contingent model," Risk and Sustainable Management Group Working Papers 149861, University of Queensland, School of Economics.
    2. Céline Nauges & Christopher J. O'Donnell & John Quiggin, 2011. "Uncertainty and technical efficiency in Finnish agriculture: a state-contingent approach," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 38(4), pages 449-467, October.
    3. Serra, Teresa & Chambers, Robert G. & Oude Lansink, Alfons, 2014. "Measuring technical and environmental efficiency in a state-contingent technology," European Journal of Operational Research, Elsevier, vol. 236(2), pages 706-717.
    4. 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.
    5. David Adamson & Thilak Mallawaarachchi & John Quiggin, 2005. "Modelling basin level allocation of water in the Murray Darling Basin in a world of uncertainty," Murray-Darling Program Working Papers WPM05_1, Risk and Sustainable Management Group, University of Queensland.
    6. Teresa Serra & David Zilberman & José M. Gil, 2008. "Farms' technical inefficiencies in the presence of government programs ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(1), pages 57-76, March.
    7. Quiggin, John & Chambers, Robert G., 2005. "The state-contingent approach to production and uncertainty," Risk and Sustainable Management Group Working Papers 151168, University of Queensland, School of Economics.
    8. Neal, Mark, 2007. "Estimating complex production functions: The importance of starting values," Risk and Sustainable Management Group Working Papers 151178, University of Queensland, School of Economics.
    9. McClintock, Anthea, 2009. "Investment in irrigation technology: an application of real options analysis," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 47934, Australian Agricultural and Resource Economics Society.
    10. Chavas, Jean-Paul & Barham, Bradford L., 2007. "On Microeconomic Efficiency and Entrepreneurship under Bounded Rationality," Staff Papers 92142, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
    11. Theodoros Skevas & Teresa Serra, 2016. "The role of pest pressure in technical and environmental inefficiency analysis of Dutch arable farms: an event-specific data envelopment approach," Journal of Productivity Analysis, Springer, vol. 46(2), pages 139-153, December.
    12. Chris OÕDonnell & Robert G. Chambers & John Quiggin, "undated". "Efficiency analysis in the presence of uncertainty," Risk & Uncertainty Working Papers WP2R06, Risk and Sustainable Management Group, University of Queensland.
    13. Hardaker, J. Brian & Lien, Gudbrand, 2010. "Probabilities for decision analysis in agriculture and rural resource economics: The need for a paradigm change," Agricultural Systems, Elsevier, vol. 103(6), pages 345-350, July.
    14. Henderson, Benjamin B. & Kingwell, Ross S., 2005. "Rainfall and Farm Efficiency Measurement for Broadacre Agriculture in South-Western Australia," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 13.
    15. Kota Minegishi, 2016. "Comparison of production risks in the state-contingent framework: application to balanced panel data," Journal of Productivity Analysis, Springer, vol. 46(2), pages 121-138, December.
    16. Hardaker, J. Brian & Lien, Gudbrand D., 2009. "What Next in Decision Analysis for Agricultural and Resource Economics?," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 48160, Australian Agricultural and Resource Economics Society.
    17. Robert, Marion & Thomas, Alban & Bergez, Jacques Eric, 2016. "Processes of adpatation in farm decision-making models. A review," TSE Working Papers 16-731, Toulouse School of Economics (TSE).
    18. Sriram Shankar & John Quiggin, 2013. "Production under uncertainty: a simulation study," Journal of Productivity Analysis, Springer, vol. 39(3), pages 207-215, June.
    19. O'Donnell, Christopher J. & Shankar, Sriram, 2009. "Estimating State-Allocable Production Technologies When There are Two States of Nature and State Allocations of Inputs are Unobserved," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 50898, Australian Agricultural and Resource Economics Society.
    20. Huettel, Silke & Narayana, Rashmi & Odening, Martin, 2011. "Measuring dynamic efficiency under uncertainty," Structural Change in Agriculture/Strukturwandel im Agrarsektor (SiAg) Working Papers 129062, Humboldt University Berlin, Department of Agricultural Economics.
    21. Subal C. Kumbhakar & Jingfang Zhang & Gudbrand Lien, 2023. "Locationally Varying Production Technology and Productivity: The Case of Norwegian Farming," Econometrics, MDPI, vol. 11(3), pages 1-20, August.
    22. Barnes, Andrew Peter & Revoredo-Giha, Cesar, 2010. "A Metafrontier Analysis of Technical Efficiency of Selected European Agricultures," Working Papers 109412, Scotland's Rural College (formerly Scottish Agricultural College), Land Economy & Environment Research Group.
    23. Quiggin, John C. & Chambers, Robert G., 2006. "The state-contingent approach to production under uncertainty," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 50(2), pages 1-17, June.
    24. Ragnar Tveteras & Ola Flaten & Gudbrand Lien, 2011. "Production risk in multi-output industries: estimates from Norwegian dairy farms," Applied Economics, Taylor & Francis Journals, vol. 43(28), pages 4403-4414.
    25. Fleming, Euan M. & Farrell, Terence C. & Villano, Renato A. & Fleming, Pauline, 2006. "Is farm benchmarking the new acceptable face of comparative analysis?," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 14.
    26. Sille, AG & Salvioni, C. & Benedetti, R., 2015. "Spatial Heterogeneity in Production Functions Models," 2015 Conference, August 9-14, 2015, Milan, Italy 211343, International Association of Agricultural Economists.
    27. Bhattacharyya, Aditi & Pal, Sudeshna, 2013. "Financial reforms and technical efficiency in Indian commercial banking: A generalized stochastic frontier analysis," Review of Financial Economics, Elsevier, vol. 22(3), pages 109-117.
    28. Just, Richard E. & Just, David R., 2011. "Global identification of risk preferences with revealed preference data," Journal of Econometrics, Elsevier, vol. 162(1), pages 6-17, May.
    29. Shen, Zhiyang & Bai, Kaixuan & Hong, Tianyang & Balezentis, Tomas, 2021. "Evaluation of carbon shadow price within a non-parametric meta-frontier framework: The case of OECD, ASEAN and BRICS," Applied Energy, Elsevier, vol. 299(C).
    30. Pedro Macedo & Elvira Silva & Manuel Scotto, 2014. "Technical efficiency with state-contingent production frontiers using maximum entropy estimators," Journal of Productivity Analysis, Springer, vol. 41(1), pages 131-140, February.
    31. David Adamson, 2010. "Climate Change, Irrigation and Pests: Examining Heliothis in the Murray Darling Basin," Murray-Darling Program Working Papers WP1M10, Risk and Sustainable Management Group, University of Queensland.
    32. Taylan G. Topcu & Konstantinos Triantis, 2022. "An ex-ante DEA method for representing contextual uncertainties and stakeholder risk preferences," Annals of Operations Research, Springer, vol. 309(1), pages 395-423, February.
    33. Jorge Andres, Perdomo Calvo & Darrell Lee, Hueth & Jorge Andres, Perdomo Calvo, 2011. "Funciones de producción, análisis de economías a escala y eficiencia técnica en el eje cafetero colombiano: una aproximación con frontera estocástica [Estimation of the Production Functional Form, ," MPRA Paper 37179, University Library of Munich, Germany.
    34. Feng, Chao & Zhang, Hua & Huang, Jian-Bai, 2017. "The approach to realizing the potential of emissions reduction in China: An implication from data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 859-872.
    35. Mullen, John & Keogh, Mick, 2013. "The Future Productivity and Competitiveness Challenge for Australian Agriculture," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152170, Australian Agricultural and Resource Economics Society.
    36. Wang, Miao & Feng, Chao, 2023. "Measuring capacity utilization under the constraints of energy consumption and CO2 emissions using meta-frontier DEA: A case of China's non-ferrous metal industries," Resources Policy, Elsevier, vol. 80(C).
    37. Jean-Paul Chavas, 2012. "On learning and the economics of firm efficiency: a state-contingent approach," Journal of Productivity Analysis, Springer, vol. 38(1), pages 53-62, August.
    38. Villano, Renato A. & Fleming, Euan M. & Fleming, Pauline, 2008. "Measuring Regional Productivity Differences in the Australian Wool Industry: A Metafrontier Approach," 2008 Conference (52nd), February 5-8, 2008, Canberra, Australia 6036, Australian Agricultural and Resource Economics Society.
    39. Christopher O’Donnell & D. Rao & George Battese, 2008. "Metafrontier frameworks for the study of firm-level efficiencies and technology ratios," Empirical Economics, Springer, vol. 34(2), pages 231-255, March.
    40. Pavlos Almanidis, 2013. "Accounting for heterogeneous technologies in the banking industry: a time-varying stochastic frontier model with threshold effects," Journal of Productivity Analysis, Springer, vol. 39(2), pages 191-205, April.
    41. Robert Chambers & John Quiggin, 2007. "Information value and efficiency measurement for risk-averse firms," Journal of Productivity Analysis, Springer, vol. 27(3), pages 197-208, June.
    42. Sansi Yang & C Richard Shumway, 2018. "Asset fixity under state-contingent production uncertainty," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(5), pages 831-856.
    43. Robert Chambers & Teresa Serra & Spiro Stefanou, 2015. "Using ex ante output elicitation to model state-contingent technologies," Journal of Productivity Analysis, Springer, vol. 43(1), pages 75-83, February.
    44. Barnes, Andrew Peter & Revoredo-Giha, Cesar & Sauer, Johannes, 2011. "A metafrontier approach to measuring technical efficiencies across the UK dairy sector," 122nd Seminar, February 17-18, 2011, Ancona, Italy 99369, European Association of Agricultural Economists.
    45. Adamson, David, 2012. "The 2011 Basin Plan, Climate Change and the Buy-Back," Risk and Sustainable Management Group Working Papers 149884, University of Queensland, School of Economics.
    46. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    47. Serra, Teresa & Stefanou, Spiro E. & Oude Lansink, Alfons G.J.M., 2010. "A dynamic dual model under state-contingent production uncertainty," 114th Seminar, April 15-16, 2010, Berlin, Germany 61353, European Association of Agricultural Economists.
    48. Yin, Pengzhen & Sun, Jiasen & Chu, Junfei & Liang, Liang, 2016. "Evaluating the environmental efficiency of a two-stage system with undesired outputs by a DEA approach: An interest preference perspectiveAuthor-Name: Wu, Jie," European Journal of Operational Research, Elsevier, vol. 254(3), pages 1047-1062.
    49. O'Donnell, Christopher J., 2006. "Some Econometric Options For Dealing With Unknown Functional Form," 2006 Conference (50th), February 8-10, 2006, Sydney, Australia 137787, Australian Agricultural and Resource Economics Society.
    50. A. G. Billé & C. Salvioni & R. Benedetti, 2018. "Modelling spatial regimes in farms technologies," Journal of Productivity Analysis, Springer, vol. 49(2), pages 173-185, June.
    51. Adam Loch & David Adamson, 2015. "Drought and the rebound effect: a Murray–Darling Basin example," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(3), pages 1429-1449, December.

  24. William Griffiths & Elizabeth Webster, 2004. "The Determinants of Research and Development and Intellectual Property Usage among Australian Companies, 1989 to 2002," Melbourne Institute Working Paper Series wp2004n27, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.

    Cited by:

    1. Russell Thomson, 2010. "Tax Policy and R&D Investment by Australian Firms," The Economic Record, The Economic Society of Australia, vol. 86(273), pages 260-280, June.
    2. Paul H. Jensen & Elizabeth Webster, 2009. "Another Look At The Relationship Between Innovation Proxies," Australian Economic Papers, Wiley Blackwell, vol. 48(3), pages 252-269, September.
    3. Elif Kalayci & Mehmet Teoman Pamukçu, 2011. "Analysis of Foreign Ownership, R&D and Spillovers in Developing Countries: Evidence from Turkey," Working Papers 642, Economic Research Forum, revised 10 Jan 2011.
    4. Alfons Palangkaraya, 2010. "Patent Application Databases," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 43(1), pages 77-87, March.
    5. Fosu, Prince, 2016. "Infrastructure and Foreign Direct Investment Inflows: Evidence from Ghana," MPRA Paper 100375, University Library of Munich, Germany, revised 13 May 2020.

  25. Matthew Amor & William Griffiths, 2003. "Modelling the Behaviour and Performance of Australian Football Tipsters," Department of Economics - Working Papers Series 871, The University of Melbourne.

    Cited by:

    1. Jeff Borland & Mark Chicu & Robert D. Macdonald, 2009. "Do Teams Always Lose to Win? Performance Incentives and the Player Draft in the Australian Football League," Journal of Sports Economics, , vol. 10(5), pages 451-484, October.

  26. Duangkamon Chotikapanich & William E. Griffiths, 2003. "Averaging Lorenz Curves," Monash Econometrics and Business Statistics Working Papers 22/03, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Michel Lubrano & Zhou Xun, 2021. "The Bayesian approach to poverty measurement," Working Papers halshs-03234072, HAL.
    2. Genya Kobayashi & Kazuhiko Kakamu, 2019. "Approximate Bayesian computation for Lorenz curves from grouped data," Computational Statistics, Springer, vol. 34(1), pages 253-279, March.
    3. Hikaru Hasegawa & Kazuhiro Ueda, 2016. "Multidimensional inequality for current status of Japanese private companies’ employees," METRON, Springer;Sapienza Università di Roma, vol. 74(3), pages 357-373, December.
    4. Anwar Shaikh, 2018. "Some Universal Patterns in Income Distribution: An Econophysics Approach," Working Papers 1808, New School for Social Research, Department of Economics.
    5. Enora Belz, 2019. "Estimating Inequality Measures from Quantile Data," Economics Working Paper Archive (University of Rennes & University of Caen) 2019-09, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS.
    6. Enora Belz, 2019. "Estimating Inequality Measures from Quantile Data," Working Papers halshs-02320110, HAL.
    7. Michel Lubrano & Zhou Xun, 2023. "The Bayesian approach to poverty measurement," Post-Print halshs-04135764, HAL.
    8. Michel Lubrano & Zhou Xun, 2023. "The Bayesian approach to poverty measurement," Post-Print hal-04347292, HAL.
    9. Andrew C. Chang & Phillip Li & Shawn M. Martin, 2018. "Comparing cross‐country estimates of Lorenz curves using a Dirichlet distribution across estimators and datasets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(3), pages 473-478, April.

  27. William E. Griffiths & Christopher J. O’Donnell, 2003. "Estimating Variable Returns to Scale Production Frontiers with Alternative Stochastic Assumptions," Department of Economics - Working Papers Series 872, The University of Melbourne.

    Cited by:

    1. Glass, Anthony J. & Kenjegalieva, Karligash & Sickles, Robin C. & Weyman-Jones, Thomas, 2016. "The Spatial Efficiency Multiplier and Random Effects in Spatial Stochastic Frontier Models," Working Papers 16-002, Rice University, Department of Economics.
    2. Ipatova, Irina & Peresetsky, Аnatoly, 2013. "Technical efficiency of Russian plastic and rubber production firms," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 32(4), pages 71-92.

  28. William Griffiths, 2002. "A Gibbs’ Sampler for the Parameters of a Truncated Multivariate Normal Distribution," Department of Economics - Working Papers Series 856, The University of Melbourne.

    Cited by:

    1. Veiga, Sébastien Da & Marrel, Amandine, 2020. "Gaussian process regression with linear inequality constraints," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
    2. P. Economou & S. Malefaki & C. Caroni, 2015. "Bayesian Threshold Regression Model with Random Effects for Recurrent Events," Methodology and Computing in Applied Probability, Springer, vol. 17(4), pages 871-898, December.

  29. Chotikapanich, D. & Griffiths, W.E. & Skeels, C.L., 2001. "Sample Size Requirements for Estimation in SUR Models," Department of Economics - Working Papers Series 794, The University of Melbourne.

    Cited by:

    1. Hendrik Wolff & Thomas Heckelei & Ron C. Mittelhammer, 2004. "Imposing Curvature and Monotonicity on Flexible Functional Forms: An Efficient Regional Approach," Econometric Society 2004 North American Summer Meetings 450, Econometric Society.
    2. Griffiths, W.E., 2001. "Bayesian Inference in the Seemingly Unrelated Regressions Models," Department of Economics - Working Papers Series 793, The University of Melbourne.
    3. Wolff, Hendrik & Heckelei, Thomas & Mittelhammer, Ronald C., 2004. "Imposing Monotonicity And Curvature On Flexible Functional Forms," 2004 Annual meeting, August 1-4, Denver, CO 20256, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. W.E. Griffiths & Ma. Rebecca Valenzuela, 2004. "Gibbs Samplers for a Set of Seemingly Unrelated Regressions," Department of Economics - Working Papers Series 912, The University of Melbourne.

  30. Chotikapanich, D. & Griffiths, W.E. & Rao, D.S.P., 2001. "Averaging Income Distributions," Department of Economics - Working Papers Series 798, The University of Melbourne.

    Cited by:

    1. Michel Lubrano & Zhou Xun, 2021. "The Bayesian approach to poverty measurement," Working Papers halshs-03234072, HAL.
    2. Hikaru Hasegawa & Kazuhiro Ueda, 2016. "Multidimensional inequality for current status of Japanese private companies’ employees," METRON, Springer;Sapienza Università di Roma, vol. 74(3), pages 357-373, December.
    3. Duangkamon Chotikapanich & William E. Griffiths, 2006. "Bayesian Assessment of Lorenz and Stochastic Dominance in Income Distributions," Department of Economics - Working Papers Series 960, The University of Melbourne.
    4. Michel Lubrano & Zhou Xun, 2023. "The Bayesian approach to poverty measurement," Post-Print halshs-04135764, HAL.
    5. Michel Lubrano & Zhou Xun, 2023. "The Bayesian approach to poverty measurement," Post-Print hal-04347292, HAL.
    6. Omar Abdul Rahman Kittaneh, 2019. "Estimating the Income Distribution of Some Muslim Countries Based on Entropy Measures تقدير توزيع الدخل لبعض الدول الإسلامية بناء على مقاييس عشوائية," Journal of King Abdulaziz University: Islamic Economics, King Abdulaziz University, Islamic Economics Institute., vol. 32(1), pages 159-169, January.

  31. Chotikapanich, D. & Griffiths, W., 2001. "On Calculation of the Extended Gini Coefficient," Department of Economics - Working Papers Series 801, The University of Melbourne.

    Cited by:

    1. Stephen P. Jenkins & Philippe Van Kerm, 2016. "Assessing Individual Income Growth," Economica, London School of Economics and Political Science, vol. 83(332), pages 679-703, October.
    2. Heshmati, Almas, 2004. "A Review of Decomposition of Income Inequality," IZA Discussion Papers 1221, Institute of Labor Economics (IZA).
    3. Almas Heshmati, 2015. "Inequalities and Their Measurement," Working Papers id:7311, eSocialSciences.
    4. Rolf Aaberge, 2006. "Gini's Nuclear Family," Discussion Papers 491, Statistics Norway, Research Department.
    5. Essama-Nssah, B., 2002. "Assessing the distributional impact of public policy," Policy Research Working Paper Series 2883, The World Bank.
    6. Lie Ma & Qiu Xie & Shiying Shi & Xiaosu Ye & Aifeng Zhao, 2017. "Regional Maldistribution of China’s Hospitals Based on Their Structural System," Sustainability, MDPI, vol. 9(6), pages 1-18, June.
    7. Theodoros M. Diasakos & Florence Neymotin, 2011. "Community Matters: How the Volunteering of Others Affects One's Likelihood of Engaging in Volunteer Work," Carlo Alberto Notebooks 209, Collegio Carlo Alberto.
    8. Araceli Ortega Diaz, 2004. "Assesment of the relationship between Inequality and Economic Growth: A panel Data Approach," Econometric Society 2004 Latin American Meetings 261, Econometric Society.
    9. Diasakos, Theodoros M. & Neymotin, Florence, 2014. "Coordination in Public Good Provision: How Individual Volunteering is Impacted by the Volunteering of Others," SIRE Discussion Papers 2014-014, Scottish Institute for Research in Economics (SIRE).
    10. Edna Schechtman & Ricardas Zitikis, 2006. "Gini indices as areas and covariances: what is the difference between the two representations?," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3), pages 385-397.
    11. Walter Piesch, 2005. "A look at the structure of some extended Ginis," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(2), pages 263-296.
    12. Chameni Nembua, Célestin, 2008. "Measuring and explaining economic inequality: An extension of the Gini coefficient," MPRA Paper 31242, University Library of Munich, Germany, revised 2010.
    13. Xiao Ma & Feiran Wang & Jiandong Chen & Yang Zhang, 2018. "The Income Gap Between Urban and Rural Residents in China: Since 1978," Computational Economics, Springer;Society for Computational Economics, vol. 52(4), pages 1153-1174, December.
    14. Célestin Chameni Nembua, 2006. "Linking Gini to Entropy : Measuring Inequality by an interpersonal class of indices," Economics Bulletin, AccessEcon, vol. 4(5), pages 1-9.
    15. Shlomo Yitzhaki & Edna Schechtman, 2005. "The properties of the extended Gini measures of variability and inequality," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3), pages 401-433.

  32. Chua, C.L. & Griffiths, W.E. & O'Donnell, C.J., 2001. "Bayesian Model Averaging in Consumer Demand Systems with Inequality Constraints," Department of Economics - Working Papers Series 806, The University of Melbourne.

    Cited by:

    1. Hendrik Wolff & Thomas Heckelei & Ron C. Mittelhammer, 2004. "Imposing Curvature and Monotonicity on Flexible Functional Forms: An Efficient Regional Approach," Econometric Society 2004 North American Summer Meetings 450, Econometric Society.
    2. Griffiths, William E. & Newton, Lisa S. & O'Donnell, Christopher J., 2010. "Predictive densities for models with stochastic regressors and inequality constraints: Forecasting local-area wheat yield," International Journal of Forecasting, Elsevier, vol. 26(2), pages 397-412, April.
    3. Charles J. Romeo, 2016. "Incorporating Prior Information into A GMM Objective For Mixed Logit Demand Systems," Journal of Industrial Economics, Wiley Blackwell, vol. 64(2), pages 336-363, June.
    4. Sanvi Avouyi-Dovi & Christian Pfister & Franck Sédillot, 2019. "French Households’ Portfolio: The Financial Almost Ideal Demand System Appraisal," Working papers 728, Banque de France.
    5. Wolff, Hendrik & Heckelei, Thomas & Mittelhammer, Ronald C., 2004. "Imposing Monotonicity And Curvature On Flexible Functional Forms," 2004 Annual meeting, August 1-4, Denver, CO 20256, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Claudia Schmidt & Steven C. Deller & Stephan J. Goetz, 2024. "Women farmers and community well‐being under modeling uncertainty," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 46(1), pages 275-299, March.

  33. Griffiths, W.E., 2001. "Bayesian Inference in the Seemingly Unrelated Regressions Models," Department of Economics - Working Papers Series 793, The University of Melbourne.

    Cited by:

    1. Hendrik Wolff & Thomas Heckelei & Ron C. Mittelhammer, 2004. "Imposing Curvature and Monotonicity on Flexible Functional Forms: An Efficient Regional Approach," Econometric Society 2004 North American Summer Meetings 450, Econometric Society.
    2. Corberán-Vallet, Ana & Bermúdez, José D. & Vercher, Enriqueta, 2011. "Forecasting correlated time series with exponential smoothing models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 252-265.
    3. Tiberti, M., 2013. "Production costs of Soft Wheat in Italy," 2013 Second Congress, June 6-7, 2013, Parma, Italy 149898, Italian Association of Agricultural and Applied Economics (AIEAA).
    4. Chiara Scotti, 2006. "A bivariate model of Fed and ECB main policy rates," International Finance Discussion Papers 875, Board of Governors of the Federal Reserve System (U.S.).
    5. Wang, Hao, 2010. "Sparse seemingly unrelated regression modelling: Applications in finance and econometrics," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2866-2877, November.
    6. Corberán-Vallet, Ana & Bermúdez, José D. & Vercher, Enriqueta, 2011. "Forecasting correlated time series with exponential smoothing models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 252-265, April.
    7. Wolff, Hendrik & Heckelei, Thomas & Mittelhammer, Ronald C., 2004. "Imposing Monotonicity And Curvature On Flexible Functional Forms," 2004 Annual meeting, August 1-4, Denver, CO 20256, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Yiannis Kamarianakis, 2006. "Hierarchical Bayesian Modeling For Spatial Time Series: An Alternative Approach To Spatial Sur," Working Papers 0605, University of Crete, Department of Economics.

  34. William E. Griffiths & R. Carter Hill & Christopher J. O'Donnell, 2001. "Including Prior Information in Probit Model Estimation," Department of Economics - Working Papers Series 816, The University of Melbourne.

    Cited by:

    1. Francisco-José Polo & Miguel Negrín & Xavier Badía & Montse Roset, 2005. "Bayesian regression models for cost-effectiveness analysis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 6(1), pages 45-52, March.

  35. Griffiths, W.E. & Valenzuela, R., 2001. "Estimating Costs of Children from Micro-Unit Records: A New Procedure Applied to Australian Data," Department of Economics - Working Papers Series 795, The University of Melbourne.

    Cited by:

    1. W.E. Griffiths & Ma. Rebecca Valenzuela, 2004. "Gibbs Samplers for a Set of Seemingly Unrelated Regressions," Department of Economics - Working Papers Series 912, The University of Melbourne.

  36. Duangkamon Chotikapanich & William E. Griffiths, 2000. "Estimating Lorenz Curves Using a Dirichlet Distribution," Econometric Society World Congress 2000 Contributed Papers 1215, Econometric Society.

    Cited by:

    1. Genya Kobayashi & Kazuhiko Kakamu, 2019. "Approximate Bayesian computation for Lorenz curves from grouped data," Computational Statistics, Springer, vol. 34(1), pages 253-279, March.
    2. Heshmati, Almas, 2004. "A Review of Decomposition of Income Inequality," IZA Discussion Papers 1221, Institute of Labor Economics (IZA).
    3. Almas Heshmati, 2015. "Inequalities and Their Measurement," Working Papers id:7311, eSocialSciences.
    4. T. Kämpke & R. Pestel & F.J. Radermacher, 2003. "A Computational Concept for Normative Equity," European Journal of Law and Economics, Springer, vol. 15(2), pages 129-163, March.
    5. Xiaofeng Lv & Gupeng Zhang & Xinkuo Xu & Qinghai Li, 2017. "Bootstrap-calibrated empirical likelihood confidence intervals for the difference between two Gini indexes," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(2), pages 195-216, June.
    6. Ashraf Gouda & Tamás Szántai, 2010. "On numerical calculation of probabilities according to Dirichlet distribution," Annals of Operations Research, Springer, vol. 177(1), pages 185-200, June.
    7. Satya Paul & Sriram Shankar, 2020. "An alternative single parameter functional form for Lorenz curve," Empirical Economics, Springer, vol. 59(3), pages 1393-1402, September.
    8. Wang, Dongliang & Zhao, Yichuan & Gilmore, Dirk W., 2016. "Jackknife empirical likelihood confidence interval for the Gini index," Statistics & Probability Letters, Elsevier, vol. 110(C), pages 289-295.
    9. Gholamreza Hajargasht & William E. Griffiths, 2016. "Inference for Lorenz Curves," Department of Economics - Working Papers Series 2022, The University of Melbourne.
    10. 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.
    11. Enora Belz, 2019. "Estimating Inequality Measures from Quantile Data," Economics Working Paper Archive (University of Rennes & University of Caen) 2019-09, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS.
    12. Chiara Gigliarano & Pietro Muliere, 2013. "Estimating the Lorenz curve and Gini index with right censored data: a Polya tree approach," METRON, Springer;Sapienza Università di Roma, vol. 71(2), pages 105-122, September.
    13. Khosravi Tanak, A. & Mohtashami Borzadaran, G.R. & Ahmadi, Jafar, 2018. "New functional forms of Lorenz curves by maximizing Tsallis entropy of income share function under the constraint on generalized Gini index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 511(C), pages 280-288.
    14. Enora Belz, 2019. "Estimating Inequality Measures from Quantile Data," Working Papers halshs-02320110, HAL.
    15. E. Gómez-Déniz, 2016. "A family of arctan Lorenz curves," Empirical Economics, Springer, vol. 51(3), pages 1215-1233, November.
    16. José M. R. Murteira & Joaquim J. S. Ramalho, 2016. "Regression Analysis of Multivariate Fractional Data," Econometric Reviews, Taylor & Francis Journals, vol. 35(4), pages 515-552, April.
    17. Hasegawa, Hikaru & Kozumi, Hideo, 2003. "Estimation of Lorenz curves: a Bayesian nonparametric approach," Journal of Econometrics, Elsevier, vol. 115(2), pages 277-291, August.
    18. Xiaofeng Lv & Gupeng Zhang & Xinkuo Xu & Qinghai Li, 2017. "Bootstrap-calibrated empirical likelihood confidence intervals for the difference between two Gini indexes," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(2), pages 195-216, June.
    19. Andrew C. Chang & Phillip Li & Shawn M. Martin, 2018. "Comparing cross‐country estimates of Lorenz curves using a Dirichlet distribution across estimators and datasets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(3), pages 473-478, April.

  37. Zhao, Xueyan & Mullen, John D. & Griffith, Garry R. & Griffiths, William E. & Piggott, Roley R., 2000. "An Equilibrium Displacement Model of the Australian Beef Industry," Research Reports 28007, New South Wales Department of Primary Industries Research Economists.

    Cited by:

    1. Dharmasena, Senarath & Davis, George & Capps, Oral, Jr., 2014. "Partial versus General Equilibrium Calorie and Revenue Effects Associated with a Sugar-Sweetened Beverage Tax," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(2), pages 1-17.
    2. Michal MALÝ, 2013. "Partial equilibrium model - beef," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 59(6), pages 247-261.
    3. Griffith, Garry R., 2009. "Estimating the economic impact of a major beef industry research and development investment," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 17, pages 1-24.
    4. Mounter, Stuart W. & Griffith, Garry R. & Piggott, Roley R. & Fleming, Euan M. & Zhao, Xueyan, 2007. "Composition of the National Sheep Flock and Specification of Equilibrium Prices and Quantities for the Australian Sheep and Wool Industries, 2002-03 to 2004-05," Research Reports 37664, New South Wales Department of Primary Industries Research Economists.
    5. Griffith, Garry R. & Farquharson, Robert J. & Barwick, Steve & Banks, Rob & Holmes, Bill, 2002. "Estimating Returns From Past Investments Into Beef Cattle Genetics Rd&E In Australia," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25864, International Association of Agricultural Economists.
    6. Zhao, Xueyan & Ambarawati, I Gusti Agung Ayu & Piggott, Roley R. & Griffith, Garry R., 2004. "The Distribution of Gains from Cattle Development in a Multi-Stage Production System: The Case of the Bali Beef Industry," Working Papers 12920, University of New England, School of Economics.
    7. Mounter, Stuart W. & Griffith, Garry R. & Piggott, Roley R. & Mullen, John D., 2005. "The Relative Payoffs From R&D and Generic Advertising Expenditure by the Australian Pig Industry," Working Papers 12943, University of New England, School of Economics.
    8. Dent, Siobahn K. & Piggott, Roley R. & O'Donnell, Christopher J. & Griffith, Garry R., 2003. "Does Excluding Cross-commodity Interactions Matter? Beef and Lamb in Australia," 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia 57859, Australian Agricultural and Resource Economics Society.
    9. Xueyan Zhao, 2002. "Who Bears the Burden and Who Receives the Gain? - The Case of GWRDC R&D Investments in the Australian Grape and Wine Industry," Monash Econometrics and Business Statistics Working Papers 15/02, Monash University, Department of Econometrics and Business Statistics.
    10. Griffith, Garry R. & Parnell, Peter F. & McKiernan, William A., 2005. "The Economic, Environmental and Social Benefits to NSW from Investment in the CRC for Beef Genetics Technologies," Research Reports 42654, New South Wales Department of Primary Industries Research Economists.
    11. Lana Awada & Peter W. B. Phillips, 2021. "The distribution of returns from land efficiency improvement in multistage production systems," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 69(1), pages 73-92, March.
    12. Mullen, John D., 2001. "An Economic Persective On Land Degradation Issues," Research Reports 27999, New South Wales Department of Primary Industries Research Economists.
    13. Griffith, Garry & Alford, Andrew & Davies, Llyod & Herd, Robert & Parnell, Peter & Hegarty, Roger, 2004. "An Assessment of the Economic, Environmental and Social Impacts of NSW Agriculture’s Investment in the Net Feed Efficiency R,D&E Cluster," Research Reports 280780, New South Wales Department of Primary Industries Research Economists.
    14. Henderson, Benjamin B. & Henry, Lynn A. & MacAulay, T. Gordon, 2006. "Investment and Change in the Coconut Industry of North Sulawesi: An Equilibrium Displacement Analysis," 2006 Conference (50th), February 8-10, 2006, Sydney, Australia 139789, Australian Agricultural and Resource Economics Society.
    15. Benjamin Henderson & Lynn Henry & Gordon MacAulay & Jen Tatuh, 2010. "Potential Payoff from R&D in the Coconut Industry of North Sulawesi, Indonesia," Asian Economic Journal, East Asian Economic Association, vol. 24(1), pages 69-85, March.
    16. Li, Kuo & Malcolm, Bill & Griffith, Garry & Kingwell, Ross, 2022. "A Model of the Southern Australian Grains Industry," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 30(2), April.
    17. Mounter, Stuart W. & Griffith, Garry R. & Piggott, Roley R., 2004. "The Payoff from Generic Advertising by the Australian Pig Industry in the Presence of Trade," Working Papers 12946, University of New England, School of Economics.
    18. O'Donnell, Christopher J. & Griffith, Garry R. & Nightingale, John J. & Piggott, Roley R., 2004. "Testing for Market Power in Multiple-Input, Multiple-Output Industries: The Australian Grains and Oilseeds Industries," Research Reports 28008, New South Wales Department of Primary Industries Research Economists.
    19. Zhao, Xueyan & Anderson, Kym & Wittwer, Glyn, 2003. "Who gains from Australian generic wine promotion and R&D?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 47(2), pages 1-29, June.
    20. Griffith, Garry R. & Coddington, Anna & Murdoch, Scott, 2004. "Beef Feedlot Supply Response in Australia," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 12.
    21. Gunter, Allison & Goemans, Chris & Pritchett, James G. & Thilmany, Dawn D., 2012. "Linking an Equilibrium Displacement Mathematical Programming Model and an Input-Output Model to Estimate the Impacts of Drought: An Application to Southeast Colorado," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124930, Agricultural and Applied Economics Association.
    22. Chaudhuri Malika & Tonsor Glynn T & Peterson H. Christopher, 2011. "Factor Demand Analysis for Ethanol in the U.S. Refinery Industry," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(1), pages 1-35, April.
    23. Liu, Esther & Tarrant, Katherine A. & Ho, Christie K.M. & Malcolm, Bill & Griffith, Garry R., 2012. "Size and Distribution of Research Benefits in the Australian Dairy Industry," 2012 Conference (56th), February 7-10, 2012, Fremantle, Australia 124326, Australian Agricultural and Resource Economics Society.
    24. Xayavong, Vilaphonh & Radhakrishnan, Manju & Kingwell, Ross S., 2013. "Development Strategies for a Premium Wine Region of Australia: an application of value chain modelling," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152186, Australian Agricultural and Resource Economics Society.
    25. Khairo, Salahadin A. & Hacker, Ronald B. & Atkinson, Trudie L. & Turnbull, Gemma L., 2011. "Economic Analysis of Feral Goats Control within the NSW Rangeland," Research Reports 280789, New South Wales Department of Primary Industries Research Economists.
    26. Vere, David T. & Griffith, Garry R. & Silvester, Luke T., 2005. "Australian Sheep Industry CRC: Economic Evaluations of Scientific Research Programs," Research Reports 42651, New South Wales Department of Primary Industries Research Economists.
    27. Rathnayake, Chinthani & Griffith, Garry & Sinnett, Alexandria & Malcolm, Bill & Farquharson, Bob, 2023. "Developing an Equilibrium Displacement Model of the Sri Lankan Tea Industry," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 31(2), April.

  38. Griffiths, William E. & O'Donnell, Christopher J. & Cruz, Agustina Tan, 1999. "Imposing Regularity Conditions On A System Of Cost And Factor Share Equations," Working Papers 12925, University of New England, School of Economics.

    Cited by:

    1. Sauer, J., 2007. "Monotonicity and Curvature – A Bootstrapping Approach," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 42, March.
    2. Ishdorj, Ariun & Jensen, Helen H., 2010. "Demand For Breakfast Cereals: Whole Grains Guidance And Food Choice," 115th Joint EAAE/AAEA Seminar, September 15-17, 2010, Freising-Weihenstephan, Germany 116445, European Association of Agricultural Economists.
    3. David Tomberlin & Garth Holloway, 2007. "Trip-Level Analysis of Efficiency Changes in Oregon’s Deepwater Trawl Fishery," Working Papers 2007.86, Fondazione Eni Enrico Mattei.
    4. Tai-Hsin Huang & Nan-Hung Liu & Subal C. Kumbhakar, 2018. "Joint estimation of the Lerner index and cost efficiency using copula methods," Empirical Economics, Springer, vol. 54(2), pages 799-822, March.
    5. Alejandro Onofri & Lilyan E. Fulginiti, 2005. "Public Inputs and Productivty in the Agricultural Sector: A Dynamic Dual Approach," Others 0502011, University Library of Munich, Germany.
    6. O'Donnell, Christopher J. & Coelli, Timothy J., 2005. "A Bayesian approach to imposing curvature on distance functions," Journal of Econometrics, Elsevier, vol. 126(2), pages 493-523, June.
    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. Tomberlin, David & Holloway, Garth J., 2007. "Trip-Level Analysis of Efficiency Changes in Oregon's Deepwater Trawl Fishery," Natural Resources Management Working Papers 8223, Fondazione Eni Enrico Mattei (FEEM).
    9. Feng, Guohua & Gao, Jiti & Peng, Bin & Zhang, Xiaohui, 2017. "A varying-coefficient panel data model with fixed effects: Theory and an application to US commercial banks," Journal of Econometrics, Elsevier, vol. 196(1), pages 68-82.
    10. Hendrik Wolff & Thomas Heckelei & Ron C. Mittelhammer, 2004. "Imposing Curvature and Monotonicity on Flexible Functional Forms: An Efficient Regional Approach," Econometric Society 2004 North American Summer Meetings 450, Econometric Society.
    11. Christopher J. O'Donnell & Alicia N. Rambaldi & Howard E. Doran, 2001. "Estimating economic relationships subject to firm- and time-varying equality and inequality constraints," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(6), pages 709-726.
    12. Ha Thu Vu & Sean Turnell, 2010. "Cost Efficiency of the Banking Sector in Vietnam: A Bayesian Stochastic Frontier Approach with Regularity Constraints," Asian Economic Journal, East Asian Economic Association, vol. 24(2), pages 115-139, June.
    13. Mulik, Kranti & Featherstone, Allen M. & Marsh, Thomas L., 2003. "Imposing Curvature Restrictions On A Translog Cost Function Using A Markov Chain Monte Carlo Simulation Approach," 2003 Annual meeting, July 27-30, Montreal, Canada 22038, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Sauer, Johannes, 2006. "Monotonicity And Curvature - A Bootstrapping Approach," 46th Annual Conference, Giessen, Germany, October 4-6, 2006 14948, German Association of Agricultural Economists (GEWISOLA).
    15. Guy Chapda Nana & Bruno Larue, 2014. "Imposing curvature conditions on flexible functional forms for GNP functions," Empirical Economics, Springer, vol. 47(4), pages 1411-1440, December.
    16. Griffiths, William E. & Newton, Lisa S. & O'Donnell, Christopher J., 2010. "Predictive densities for models with stochastic regressors and inequality constraints: Forecasting local-area wheat yield," International Journal of Forecasting, Elsevier, vol. 26(2), pages 397-412, April.
    17. N'Guessan, Yapo G. & Featherstone, Allen M. & Cader, Hanas A., 2005. "Choice of the Empirical Definition of Zero in the Translog Multiproduct Cost Functional Form," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35369, Southern Agricultural Economics Association.
    18. Dong, Fengxia & Marsh, Thomas L. & Stiegert, Kyle W., 2006. "State Trading Enterprises in a Differentiated Product Environment: The Case of Global Malting Barley Markets," Staff General Research Papers Archive 12357, Iowa State University, Department of Economics.
    19. O'Donnell, Christopher J., 2000. "Estimating The Characteristics Of Homogeneous Functionsusing Flexible Functional Forms," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123713, Australian Agricultural and Resource Economics Society.
    20. Alejandro Onofri & Lilyan Fulginiti, 2008. "Public inputs and dynamic producer behavior: endogenous growth in U.S. agriculture," Journal of Productivity Analysis, Springer, vol. 30(1), pages 13-28, August.
    21. Tiberti, M., 2013. "Production costs of Soft Wheat in Italy," 2013 Second Congress, June 6-7, 2013, Parma, Italy 149898, Italian Association of Agricultural and Applied Economics (AIEAA).
    22. Marsh, Thomas L., 2003. "Elasticities for U.S. Wheat Food Use by Class," 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia 57920, Australian Agricultural and Resource Economics Society.
    23. Ishdorj, Ariun, 2008. "Essays on food assistance program participation and demand for food," ISU General Staff Papers 2008010108000016750, Iowa State University, Department of Economics.
    24. Marsh, Thomas L. & Featherstone, Allen M., 2003. "Inverse Demand Relationships For Wheat Food Use By Class," 2003 Annual meeting, July 27-30, Montreal, Canada 22001, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    25. Griffiths, W.E., 2001. "Bayesian Inference in the Seemingly Unrelated Regressions Models," Department of Economics - Working Papers Series 793, The University of Melbourne.
    26. Isakin, Maksim & Serletis, Apostolos, 2019. "Banking technology in a Markov switching economy," Journal of Macroeconomics, Elsevier, vol. 59(C), pages 154-168.
    27. Sansi Yang & C. Richard Shumway, 2020. "Knowledge accumulation in US agriculture: research and learning by doing," Journal of Productivity Analysis, Springer, vol. 54(2), pages 87-105, December.
    28. Wolff, Hendrik & Heckelei, Thomas & Mittelhammer, Ronald C., 2004. "Imposing Monotonicity And Curvature On Flexible Functional Forms," 2004 Annual meeting, August 1-4, Denver, CO 20256, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    29. A. Onofri & L. Fulginiti, 2008. "Rejoinder," Journal of Productivity Analysis, Springer, vol. 30(1), pages 81-85, August.
    30. W.E. Griffiths & Ma. Rebecca Valenzuela, 2004. "Gibbs Samplers for a Set of Seemingly Unrelated Regressions," Department of Economics - Working Papers Series 912, The University of Melbourne.
    31. J. Hirschberg & J. Lye & D.J. Slottje, 2005. "Alernative Forms for Restricted Regressions," Department of Economics - Working Papers Series 954, The University of Melbourne.
    32. Feng, Guohua & Serletis, Apostolos, 2008. "Productivity trends in U.S. manufacturing: Evidence from the NQ and AIM cost functions," Journal of Econometrics, Elsevier, vol. 142(1), pages 281-311, January.
    33. 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.
    34. Chapda Nana, Guy & Larue, Bruno, 2012. "Imposing Curvature Conditions on Flexible Functional Forms to GNP Functions," Working Papers 123308, University of Laval, Center for Research on the Economics of the Environment, Agri-food, Transports and Energy (CREATE).
    35. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    36. O'Donnell, Christopher J. & Griffith, Garry R. & Nightingale, John J. & Piggott, Roley R., 2003. "Testing for Market Power in the Australian Grains and Oilseeds Industries: Further Results," 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia 57930, Australian Agricultural and Resource Economics Society.

  39. Griffiths, William E. & Zhao, Xueyan, 1999. "A Unified Approach To Sensitivity Analysis In Equilibrium Displacement Models: Comment," Working Papers 12950, University of New England, School of Economics.

    Cited by:

    1. Zhao, Xueyan & Griffiths, William E. & Griffith, Garry R. & Mullen, John D., 2000. "Probability distributions for economic surplus changes: the case of technical change in the Australian wool industry," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 44(1), pages 1-24.
    2. Short, Cameron, 2002. "A Methodology to Evaluate the Impact of Cost Recovery in Canadian Agriculture and Agri-Food Chains," Economic and Market Information 54496, Agriculture and Agri-Food Canada.
    3. Kenneth W Clements & Yihui Lan & Xueyan Zhao, 2006. "The Demand for Vice: Inter-Commodity Interactions with Uncertainty," Economics Discussion / Working Papers 06-30, The University of Western Australia, Department of Economics.
    4. Chanjin Chung & Youg Sook Eom & Byung Woo Yang, 2014. "Optimal Generic Advertising under Bilateral Imperfect Competition between Processors and Retailers," Agribusiness, John Wiley & Sons, Ltd., vol. 30(4), pages 438-455, September.
    5. Zhao, Xueyan & Mullen, John D. & Griffith, Garry R. & Griffiths, William E. & Piggott, Roley R., 2000. "An Equilibrium Displacement Model of the Australian Beef Industry," Research Reports 28007, New South Wales Department of Primary Industries Research Economists.
    6. Zhang, Wei, 2021. "California's Climate Policy and the Dairy Manufacturing Industry: How Does a Federal Milk Marketing Order Matter?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 46(3), September.
    7. Bullock, David S. & Salhofer, Klaus, 2003. "Judging agricultural policies: a survey," Agricultural Economics, Blackwell, vol. 28(3), pages 225-243, May.
    8. Demont, Matty & Tollens, Eric, 2001. "Uncertainties Of Estimating The Welfare Effects Of Agricultural Biotechnology In The European Union," Working Papers 31828, Katholieke Universiteit Leuven, Centre for Agricultural and Food Economics.
    9. Xueyan Zhao & Kym Anderson & Glyn Wittwer, 2002. "Who Gains from Australian Generic Wine R&D and Promotion?," Centre for International Economic Studies Working Papers 2002-04, University of Adelaide, Centre for International Economic Studies.
    10. Koen Dillen & Matty Demont & Eric Tollens, 2008. "European Sugar Policy Reform and Agricultural Innovation," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 56(4), pages 533-553, December.
    11. David S. Bullock & Klaus Salhofer & Jukka Kola, 1999. "The Normative Analysis of Agricultural Policy: A General Framework and Review," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(3), pages 512-535, September.
    12. Mounter, Stuart W. & Griffith, Garry R., 2011. "A pig in a poke? Accounting for uncertainty about elasticity values in an EDM of the Australian pig industry," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 19, pages 1-9.
    13. Capps, Oral, Jr. & Williams, Gary W., 2006. "The Economic Effectiveness of the Cotton Checkoff Program," Reports 90753, Texas A&M University, Agribusiness, Food, and Consumer Economics Research Center.
    14. Davis, George C., 2001. "Confirmation And Falsification Of Equilibrium Displacement Models," 2001 Annual meeting, August 5-8, Chicago, IL 20525, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. Kenneth Clements & Yihui Lan & Xueyan Zhao, 2010. "The demand for marijuana, tobacco and alcohol: inter-commodity interactions with uncertainty," Empirical Economics, Springer, vol. 39(1), pages 203-239, August.
    16. Zhao, Xueyan & Griffith, Garry R. & Mullen, John D., 2000. "Returns to New Technologies in the Australian Beef Industry: On-farm Research versus Off-farm Research," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123749, Australian Agricultural and Resource Economics Society.
    17. Jesus Anton & Chantal Le Mouël & . Unité d'Economie Et Sociologie Ruralestoulouse, 2002. "Risk effects of crop support measures [Effets liés au risque des mesures de soutien]," Post-Print hal-02830955, HAL.
    18. Lei, Lei, 2018. "Effects of trade policy on technological innovation in agricultural markets - implications for the developing economies," IDE Discussion Papers 687, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    19. X. Zhao & J.D. Mullen & G.R. Griffith & R.R. Piggott & W.E. Griffiths, 2002. "The Economic Incidence of R&D and Promotion Investments in the Australian Beef Industry," Monash Econometrics and Business Statistics Working Papers 16/02, Monash University, Department of Econometrics and Business Statistics.
    20. Joe Dewbre & Jesús Antón & Wyatt Thompton, 2001. "The Transfer Efficiency and Trade Effects of Direct Payments," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(5), pages 1204-1214.

  40. Griffiths, William E. & Thomson, Graeme & Coelli, Tim J., 1999. "Predicting Output From Seemingly Unrelated Area And Yield Equations," Working Papers 12945, University of New England, School of Economics.

    Cited by:

    1. Zulfiqar, Farhad, 2010. "Estimation of Wheat Yield Response under different Economic, Location and Climatic Conditions in Punjab," MPRA Paper 26503, University Library of Munich, Germany.
    2. Keeney, Roman & Hertel, Thomas W., 2008. "Yield Response To Prices: Implications For Policy Modeling," Working papers 45969, Purdue University, Department of Agricultural Economics.
    3. Roman Keeney & Thomas W. Hertel, 2008. "U.S. Market Potential For Dried Distillers Grain With Solubles," Working Papers 08-13, Purdue University, College of Agriculture, Department of Agricultural Economics.

  41. Wan, G.H. & Griffiths, William E. & Anderson, Jock R., 1989. "Estimation of Marginal Risks with Seemingly Unrelated Regression and Panel Data," 1989 Conference (33rd), February 7-9, 1989, Christchurch, New Zealand 144886, Australian Agricultural and Resource Economics Society.

    Cited by:

    1. Battese, George E. & Rambaldi, A. N. & Wan, G. H., 1995. "A Stochastic Frontier Production Function with Flexible Risk Properties," 1995 Conference (39th), February 14-16, 1995, Perth, Australia 148840, Australian Agricultural and Resource Economics Society.

  42. Griffiths, William E., 1971. "Estimation Of Actual Response Coefficients In The Hildreth-Houck Random Coefficient Model," Staff Papers 14275, University of Minnesota, Department of Applied Economics.

    Cited by:

    1. Renuka Mahadevan, 2002. "Trade liberalization and productivity growth in Australian manufacturing industries," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 30(2), pages 170-185, June.
    2. David Revelt & Kenneth Train, 2001. "Customer-Specific Taste Parameters and Mixed Logit: Households' Choice of Electricity Supplier," Econometrics 0012001, University Library of Munich, Germany.
    3. Vangelis Tzouvelekas, 2005. "Accounting for Pairwise Heterogeneity in Bilateral Trade Flows: A Stochastic Varying Coefficient Gravity Model," Working Papers 0519, University of Crete, Department of Economics.
    4. Teague, Mark L. & Wade Brorsen, B., 1995. "Pesticide Productivity: What are the Trends?," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 27(1), pages 276-282, July.
    5. Griffiths, William E. & Anderson, Jock R., 1978. "Specification Of Agricultural Supply Functions - Empirical Evidence On Wheat In Southern N.S.W," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 22(2-3), pages 1-14, August.
    6. Andre Croppenstedt & Mulat Demeke, 1997. "An empirical study of cereal crop production and technical efficiency of private farmers in Ethiopia: a mixed fixed-random coefficients approach," Applied Economics, Taylor & Francis Journals, vol. 29(9), pages 1217-1226.

Articles

  1. Gholamreza Hajargasht & William E. Griffiths, 2020. "Minimum distance estimation of parametric Lorenz curves based on grouped data," Econometric Reviews, Taylor & Francis Journals, vol. 39(4), pages 344-361, April.

    Cited by:

    1. 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.
    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. 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. David Lander & David Gunawan & William Griffiths & Duangkamon Chotikapanich, 2020. "Bayesian assessment of Lorenz and stochastic dominance," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 53(2), pages 767-799, May.
    See citations under working paper version above.
  3. 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. 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.
    2. 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.
    3. Vladimir Hlasny, 2021. "Parametric representation of the top of income distributions: Options, historical evidence, and model selection," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1217-1256, September.
    4. 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.
    5. 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.
    6. 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.
    7. Walter Bossert & Conchita D’Ambrosio & Kohei Kamaga, 2021. "Extreme Values, Means, and Inequality Measurement," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(3), pages 564-590, September.
    8. Jiong Liu & R. A. Serota, 2022. "Rethinking Generalized Beta Family of Distributions," Papers 2209.05225, arXiv.org.
    9. 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.
    10. 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.
    11. Mathias Silva, 2023. "Parametric models of income distributions integrating misreporting and non-response mechanisms," AMSE Working Papers 2311, Aix-Marseille School of Economics, France.
    12. 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).
    13. 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.
    14. 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.
    15. 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.
    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.

  4. 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.
  5. Gunawan, David & Griffiths, William E. & Chotikapanich, Duangkamon, 2018. "Bayesian inference for health inequality and welfare using qualitative data," Economics Letters, Elsevier, vol. 162(C), pages 76-80.

    Cited by:

    1. David M. Kaplan & Longhao Zhuo, 2019. "Comparing latent inequality with ordinal data," Working Papers 1909, Department of Economics, University of Missouri.

  6. 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. 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.
    2. Mike Tsionas & Christopher F. Parmeter & Valentin Zelenyuk, 2023. "Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP012023, School of Economics, University of Queensland, Australia.
    3. Kutlu, Levent & Liu, Shasha & Sickles, Robin C., 2018. "Cost, Revenue, and Profit Function Estimates," Working Papers 18-006, Rice University, Department of Economics.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Amsler, Christine & Prokhorov, Artem & Schmidt, Peter, 2017. "Endogenous environmental variables in stochastic frontier models," Journal of Econometrics, Elsevier, vol. 199(2), pages 131-140.
    10. 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.
    11. 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.
    12. 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.
    13. 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).
    14. 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.
    15. 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.
    16. Levent Kutlu & Ran Wang, 2018. "Estimation of cost efficiency without cost data," Journal of Productivity Analysis, Springer, vol. 49(2), pages 137-151, June.
    17. 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.
    18. 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).
    19. 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.
    20. 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.
    21. 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.
    22. Mustafa U. Karakaplan & Levent Kutlu, 2017. "Handling Endogeneity in Stochastic Frontier Analysis," Economics Bulletin, AccessEcon, vol. 37(2), pages 889-901.
    23. 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.
    24. 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.
    25. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    26. 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.
    27. 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.
    28. 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.

  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. 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.
    2. 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).
    3. 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.

  8. Dixon, R. & Griffiths, W. & Lim, G.C., 2014. "Lay people’s models of the economy: A study based on surveys of consumer sentiments," Journal of Economic Psychology, Elsevier, vol. 44(C), pages 13-20.
    See citations under working paper version above.
  9. David Warner & D. S. Prasada Rao & William E. Griffiths & Duangkamon Chotikapanich, 2014. "Global Inequality; Levels and Trends, 1993–2005: How Sensitive are These to the Choice of PPPs and Real Income Measures?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(S2), pages 281-304, November.

    Cited by:

    1. Marshall Reinsdorf & Robert Hill, 2014. "The 32nd IARIW General Conference, Boston, Massachusetts, 2012: Editors’ Introduction," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(S2), pages 277-280, November.
    2. Soondong Hong & Heejoon Han & Chang Sik Kim, 2020. "World distribution of income for 1970–2010: dramatic reduction in world income inequality during the 2000s," Empirical Economics, Springer, vol. 59(2), pages 765-798, August.
    3. Ranjan Ray & Parvin Singh, 2019. "Income Inequality in an Era of Globalisation: The Perils of Taking a Global View," Monash Economics Working Papers 08-19, Monash University, Department of Economics.
    4. 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.
    5. Joseph Connors & James Gwartney & Hugo Montesinos‐Yufa, 2020. "The rise and fall of worldwide income inequality, 1820–2035," Southern Economic Journal, John Wiley & Sons, vol. 87(1), pages 216-244, July.

  10. William Griffiths & Xiaohui Zhang & Xueyan Zhao, 2014. "Estimation and efficiency measurement in stochastic production frontiers with ordinal outcomes," Journal of Productivity Analysis, Springer, vol. 42(1), pages 67-84, August.

    Cited by:

    1. Henderson, Heath & Follett, Lendie, 2020. "A Bayesian framework for estimating human capabilities," World Development, Elsevier, vol. 129(C).
    2. Shih-Tang Hwu & Tsu-Tan Fu & Wen-Jen Tsay, 2021. "Estimation and efficiency evaluation of stochastic frontier models with interval dependent variables," Journal of Productivity Analysis, Springer, vol. 56(1), pages 33-44, August.
    3. Badunenko, Oleg & Cordero, Jose M. & Kumbhakar, Subal C., 2021. "Are you slacking? Where do you and your country stand in the happiness pursuit?," MPRA Paper 108316, University Library of Munich, Germany.
    4. Meena Badade & T. V. Ramanathan, 2020. "Probabilistic frontier regression model for multinomial ordinal type output data," Journal of Productivity Analysis, Springer, vol. 53(3), pages 339-354, June.
    5. Meena Badade & T. V. Ramanathan, 2022. "Probabilistic Frontier Regression Models for Count Type Output Data," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(1), pages 235-260, September.

  11. Duangkamon Chotikapanich & William Griffiths & Wasana Karunarathne & D.S. Prasada Rao, 2013. "Calculating Poverty Measures from the Generalised Beta Income Distribution," The Economic Record, The Economic Society of Australia, vol. 89, pages 48-66, June.
    See citations under working paper version above.
  12. 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. 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.
    5. 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).
    6. 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.
    7. Toda, Alexis Akira, 2017. "A Note On The Size Distribution Of Consumption: More Double Pareto Than Lognormal," Macroeconomic Dynamics, Cambridge University Press, vol. 21(6), pages 1508-1518, September.
    8. 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.
    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. 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.
    11. 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.
    12. 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.
    13. E. Weyl & Michal Fabinger, 2015. "A Tractable Approach to Pass-Through Patterns," 2015 Meeting Papers 747, Society for Economic Dynamics.
    14. 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).
    15. 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.
    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. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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. Duangkamon Chotikapanich & William E. Griffiths & D. S. Prasada Rao & Vicar Valencia, 2012. "Global Income Distributions and Inequality, 1993 and 2000: Incorporating Country-Level Inequality Modeled with Beta Distributions," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 52-73, February.

    Cited by:

    1. Duangkamon Chotikapanich & William Griffiths & Wasana Karunarathne & D.S. Prasada Rao, 2013. "Calculating Poverty Measures from the Generalised Beta Income Distribution," The Economic Record, The Economic Society of Australia, vol. 89, pages 48-66, June.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Griffiths, William & Hajargasht, Gholamreza, 2015. "On GMM estimation of distributions from grouped data," Economics Letters, Elsevier, vol. 126(C), pages 122-126.
    7. Paolo Liberati, 2015. "The World Distribution of Income And Its Inequality, 1970–2009," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(2), pages 248-273, June.
    8. Enrico Fabrizi & Maria Rosaria Ferrante & Carlo Trivisano, 2020. "A functional approach to small area estimation of the relative median poverty gap," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 1273-1291, June.
    9. 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.
    10. 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.
    11. Jenkins, Stephen P., 2015. "World income inequality databases: an assessment of WIID and SWIID," LSE Research Online Documents on Economics 62173, London School of Economics and Political Science, LSE Library.
    12. 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.
    13. Soondong Hong & Heejoon Han & Chang Sik Kim, 2020. "World distribution of income for 1970–2010: dramatic reduction in world income inequality during the 2000s," Empirical Economics, Springer, vol. 59(2), pages 765-798, August.
    14. Ranjan Ray & Parvin Singh, 2019. "Income Inequality in an Era of Globalisation: The Perils of Taking a Global View," Monash Economics Working Papers 08-19, Monash University, Department of Economics.
    15. Andreas Chai & Wolfhard Kaus, 2013. "Signalling to whom? Conspicuous spending and the local density of the social group income distribution," Papers on Economics and Evolution 2012-18, Philipps University Marburg, Department of Geography.
    16. Crombrugghe, D.P.I. de & Szirmai, A. & Bluhm, R., 2014. "Poor trends: The pace of poverty reduction after the Millennium Development Agenda," MERIT Working Papers 2014-006, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    17. Jirasavetakul,La-Bhus Fah & Lakner,Christoph, 2016. "The distribution of consumption expenditure in Sub-Saharan Africa : the inequality among all Africans," Policy Research Working Paper Series 7557, The World Bank.
    18. David Warner & D. S. Prasada Rao & William E. Griffiths & Duangkamon Chotikapanich, 2014. "Global Inequality; Levels and Trends, 1993–2005: How Sensitive are These to the Choice of PPPs and Real Income Measures?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(S2), pages 281-304, November.
    19. Jordá, Vanesa & Alonso, José M., 2017. "New Estimates on Educational Attainment Using a Continuous Approach (1970–2010)," World Development, Elsevier, vol. 90(C), pages 281-293.
    20. 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.
    21. 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.
    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. Gholamreza Hajargsht & William E. Griffiths & Joseph Brice & D.S. Prasada Rao & Duangkamon Chotikapanich, 2011. "GMM Estimation of Income Distributions from Grouped Data," Department of Economics - Working Papers Series 1129, The University of Melbourne.
    24. Andrew J. Hussey & Michael Jetter & Dianne McWilliam, 2021. "The Fundamental Determinants of Economic Inequality in Average Income Across Countries: The Declining Role of Political Institutions," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(1), pages 104-133, March.
    25. 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.
    26. Darvas, Zsolt, 2019. "Global interpersonal income inequality decline: The role of China and India," World Development, Elsevier, vol. 121(C), pages 16-32.
    27. Andreas Chai, 2018. "Household consumption patterns and the sectoral composition of growing economies: A review of the interlinkages," Discussion Papers in Economics economics:201802, Griffith University, Department of Accounting, Finance and Economics.
    28. Omar Abdul Rahman Kittaneh, 2019. "Estimating the Income Distribution of Some Muslim Countries Based on Entropy Measures تقدير توزيع الدخل لبعض الدول الإسلامية بناء على مقاييس عشوائية," Journal of King Abdulaziz University: Islamic Economics, King Abdulaziz University, Islamic Economics Institute., vol. 32(1), pages 159-169, January.
    29. Frank A. Cowell & Philippe Kerm, 2015. "Wealth Inequality: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 29(4), pages 671-710, September.
    30. Julie A. Silva, 2013. "Rural Income Inequality in Mozambique: National Dynamics and Local Experiences?," The Review of Regional Studies, Southern Regional Science Association, vol. 43(1), pages 23-50, Summer.
    31. 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.
    32. Niklas Potrafke, 2015. "The Evidence on Globalisation," The World Economy, Wiley Blackwell, vol. 38(3), pages 509-552, March.
    33. Irwan Susanto & Nur Iriawan & Heri Kuswanto, 2022. "On the Bayesian Mixture of Generalized Linear Models with Gamma-Distributed Responses," Econometrics, MDPI, vol. 10(4), pages 1-28, October.
    34. 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.
    35. Andrew J. Hussey & Michael Jetter & Dianne McWilliam, 2017. "Explaining Inequality Between Countries: The Declining Role of Political Institutions," CESifo Working Paper Series 6320, CESifo.

  14. 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.
  15. William Griffiths & Paul H. Jensen & Elizabeth Webster, 2011. "What Creates Abnormal Profits?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 58(3), pages 323-346, July.

    Cited by:

    1. Stephen Petrie & Mitchell Adams & Ben Mitra‐Kahn & Matthew Johnson & Russell Thomson & Paul Jensen & Alfons Palangkaraya & Elizabeth Webster, 2020. "TM‐Link: An Internationally Linked Trademark Database," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 53(2), pages 254-269, June.
    2. Buddelmeyer, Hielke & Jensen, Paul H. & Oguzoglu, Umut & Webster, Elizabeth, 2008. "Fixed Effects Bias in Panel Data Estimators," IZA Discussion Papers 3487, Institute of Labor Economics (IZA).
    3. Drivas, Kyriakos & Gounopoulos, Dimitrios & Konstantios, Dimitrios & Tsiritakis, Emmanuel, 2018. "Trademarks, Firm Longevity and IPO Underpricing," MPRA Paper 89430, University Library of Munich, Germany.
    4. Russell Thomson & Elizabeth Webster, 2011. "External Ventures: Why Firms Don't Develop All Their Inventions In-house," Melbourne Institute Working Paper Series wp2011n19, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    5. Croce, Annalisa & Martí, José & Murtinu, Samuele, 2013. "The impact of venture capital on the productivity growth of European entrepreneurial firms: ‘Screening’ or ‘value added’ effect?," Journal of Business Venturing, Elsevier, vol. 28(4), pages 489-510.
    6. Christine Greenhalgh & Philipp Schautschick, 2013. "Empirical studies of trade marks - the existing economic literature," Economics Series Working Papers 659, University of Oxford, Department of Economics.
    7. Crass, Dirk, 2014. "Which firms use trademarks - and why? Representative firm-level evidence from Germany," ZEW Discussion Papers 14-118, ZEW - Leibniz Centre for European Economic Research.
    8. Edward Oczkowski, 2016. "Analysing Firm-level Price Effects for Differentiated Products: The Case of Australian Wine Producers," Australian Economic Papers, Wiley Blackwell, vol. 55(1), pages 43-62, March.
    9. Andersson, David E. & Ekman, Anton & Huila, Anton & Tell, Fredrik, 2023. "Industrial design rights and the market value of firms," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    10. Duygun, Meryem & Sena, Vania & Shaban, Mohamed, 2014. "Trademarking status and economic efficiency among commercial banks: Some evidence for the UK," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 506-514.
    11. Crass, Dirk, 2014. "The impact of brand use on innovation performance: Empirical results for Germany," ZEW Discussion Papers 14-119, ZEW - Leibniz Centre for European Economic Research.
    12. Peter Nderitu GITHAIGA, 2019. "Income Diversification, Market Power and Performance," Journal of Economics and Financial Analysis, Tripal Publishing House, vol. 3(2), pages 1-21.

  16. Vinh, Andrea & Griffiths, William E. & Chotikapanich, Duangkamon, 2010. "Bivariate income distributions for assessing inequality and poverty under dependent samples," Economic Modelling, Elsevier, vol. 27(6), pages 1473-1483, November.
    See citations under working paper version above.
  17. Griffiths, William E. & Newton, Lisa S. & O'Donnell, Christopher J., 2010. "Predictive densities for models with stochastic regressors and inequality constraints: Forecasting local-area wheat yield," International Journal of Forecasting, Elsevier, vol. 26(2), pages 397-412, April.

    Cited by:

    1. Yong Liu & A. Ford Ramsey, 2023. "Incorporating historical weather information in crop insurance rating," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(2), pages 546-575, March.

  18. Chotikapanich, Duangkamon & Griffiths, William E. & Rao, D. S. Prasada, 2007. "Estimating and Combining National Income Distributions Using Limited Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 97-109, January.
    See citations under working paper version above.
  19. C. J. O'Donnell & W. E. Griffiths, 2006. "Estimating State-Contingent Production Frontiers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 249-266.
    See citations under working paper version above.
  20. William E. Griffiths & Duangkamon Chotikapanich & D. S. Prasada Rao, 2005. "Averaging Income Distributions," Bulletin of Economic Research, Wiley Blackwell, vol. 57(4), pages 347-367, October.
    See citations under working paper version above.
  21. Duangkamon Chotikapanich & William Griffiths, 2005. "Averaging Lorenz curves," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 3(1), pages 1-19, April.
    See citations under working paper version above.
  22. Herbert, Ric D. & Stemp, Peter J. & Griffiths, William E., 2005. "Assessing two common approaches for solving models with saddle-path instabilities," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 69(1), pages 78-89.

    Cited by:

    1. Stemp, Peter J. & Herbert, Ric D., 2008. "Comparing different approaches for solving optimizing models with significant nonlinearities," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 357-366.
    2. Manoj Atolia & Edward F. Buffie, 2004. "Reverse Shooting Made Easy: Solving for the Global Nonlinear Saddle Path," Working Papers wp2009_01_01, Department of Economics, Florida State University, revised Jan 2009.
    3. Herbert, Ric D. & Stemp, Peter J., 2009. "Solving a non-linear model: The importance of model specification for deriving a suitable solution," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2847-2855.

  23. Griffiths, William E. & O'Donnell, Christopher J., 2005. "Estimating variable returns to scale production frontiers with alternative stochastic assumptions," Journal of Econometrics, Elsevier, vol. 126(2), pages 385-409, June.
    See citations under working paper version above.
  24. Xueyan Zhao & John Mullen & Garry Griffith & Roley Piggott & William Griffiths, 2003. "The incidence of gains and taxes associated with R&D and promotion in the Australian beef industry," Agribusiness, John Wiley & Sons, Ltd., vol. 19(3), pages 333-344.

    Cited by:

    1. Julian M. Alston & John W. Freebairn & Jennifer S. James, 2004. "Levy‐funded research choices by producers and society," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(1), pages 33-64, March.
    2. Freebairn, John W. & Goddard, Ellen W. & Griffith, Garry R., 2005. "When Can a Generic Advertising Program Increase Farmer Returns?," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 13.

  25. Bewley, Ronald & Griffiths, William E., 2003. "The penetration of CDs in the sound recording market: issues in specification, model selection and forecasting," International Journal of Forecasting, Elsevier, vol. 19(1), pages 111-121.

    Cited by:

    1. Krishnan, Trichy V. & Feng, Shanfei & Jain, Dipak C., 2023. "Peak sales time prediction in new product sales: Can a product manager rely on it?," Journal of Business Research, Elsevier, vol. 165(C).
    2. Lee, Sangwon & Marcu, Mircea & Lee, Seonmi, 2011. "An empirical analysis of fixed and mobile broadband diffusion," Information Economics and Policy, Elsevier, vol. 23(3), pages 227-233.
    3. Sangwon Lee & Justin S. Brown, 2008. "The Diffusion of Fixed Broadband: An Empirical Analysis," Working Papers 08-19, NET Institute, revised Sep 2008.
    4. Sergio Giaccaria & Silvana Dalmazzone, 2012. "Patterns of induced diffusion of renewable energy capacity: The role of regulatory design and decentralization," Carlo Alberto Notebooks 282, Collegio Carlo Alberto.
    5. Meade, Nigel & Islam, Towhidul, 2006. "Modelling and forecasting the diffusion of innovation - A 25-year review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 519-545.
    6. Rao, K. Usha & Kishore, V.V.N., 2010. "A review of technology diffusion models with special reference to renewable energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(3), pages 1070-1078, April.

  26. Chotikapanich, Duangkamon & Griffiths, William E, 2002. "Estimating Lorenz Curves Using a Dirichlet Distribution," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 290-295, April.
    See citations under working paper version above.
  27. Bewley, Ronald & Griffiths, William E, 2001. "A Forecasting Comparison of Classical and Bayesian Methods for Modelling Logistic Diffusion," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 20(4), pages 231-247, July.

    Cited by:

    1. Bewley, Ronald & Griffiths, William E., 2003. "The penetration of CDs in the sound recording market: issues in specification, model selection and forecasting," International Journal of Forecasting, Elsevier, vol. 19(1), pages 111-121.
    2. B Aytac & S D Wu, 2011. "Modelling high-tech product life cycles with short-term demand information: a case study," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(3), pages 425-432, March.
    3. Abualkhair, Ayman, 2007. "Electricity sector in the Palestinian territories: Which priorities for development and peace?," Energy Policy, Elsevier, vol. 35(4), pages 2209-2230, April.
    4. James, Gareth M. & Sood, Ashish, 2006. "Performing hypothesis tests on the shape of functional data," Computational Statistics & Data Analysis, Elsevier, vol. 50(7), pages 1774-1792, April.

  28. Duangkamon Chotikapanich & William Griffiths, 2001. "On Calculation of the Extended Gini Coefficient," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 47(4), pages 541-547, December.
    See citations under working paper version above.
  29. C. L Chua & W. E. Griffiths & C. J O'Donnell, 2001. "Bayesian Model Averaging in Consumer Demand Systems with Inequality Constraints," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 49(3), pages 269-291, November.
    See citations under working paper version above.
  30. William Griffiths & Xueyan Zhao, 2000. "A Unified Approach to Sensitivity Analysis in Equilibrium Displacement Models: Comment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(1), pages 236-240.
    See citations under working paper version above.
  31. Griffiths, William E. & O'Donnell, Christopher J. & Cruz, Agustina Tan, 2000. "Imposing regularity conditions on a system of cost and factor share equations," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 44(1), pages 1-21.
    See citations under working paper version above.
  32. Zhao, Xueyan & Griffiths, William E. & Griffith, Garry R. & Mullen, John D., 2000. "Probability distributions for economic surplus changes: the case of technical change in the Australian wool industry," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 44(1), pages 1-24.

    Cited by:

    1. Falck-Zepeda, Jose & Horna, Daniela & Smale, Melinda, 2007. "The economic impact and the distribution of benefits and risk from the adoption of insect resistant (Bt) cotton in West Africa," IFPRI discussion papers 718, International Food Policy Research Institute (IFPRI).
    2. Kenneth W Clements & Yihui Lan & Xueyan Zhao, 2006. "The Demand for Vice: Inter-Commodity Interactions with Uncertainty," Economics Discussion / Working Papers 06-30, The University of Western Australia, Department of Economics.
    3. Takeshima, Hiroyuki, 2009. "Sensitivity of welfare effects estimated by equilibrium displacement model: A biological productivity growth for semisubsistence crops in Sub-Sahara African market with high transaction costs," IFPRI discussion papers 936, International Food Policy Research Institute (IFPRI).
    4. Griffith, G.R. & Pollock, K.S. & Burrow, H.M., 2013. "How Did We Go? Revisiting the Ex Ante Economic Impact Assessment of the CRC for Beef Genetic Technologies, as at the Cessation of Funding," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 21, pages 1-18.
    5. David T. Vere & Randall E. Jones & Garry R. Griffith, 2003. "Economic benefits of public investment in weed management: the case of vulpia in south‐eastern Australia's temperate pasture areas," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 47(4), pages 519-539, December.
    6. Salhofer, Klaus & Schmid, Erwin & Streicher, Gerhard & Schneider, Friedrich, 2003. "Testing For Efficiency: A Policy Analysis With Probability Distributions," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25891, International Association of Agricultural Economists.
    7. Schmidt, Johannes & Leduc, Sylvain & Dotzauer, Erik & Kindermann, Georg & Schmid, Erwin, 2009. "Using Monte Carlo Simulation to Account for Uncertainties in the Spatial Explicit Modeling of Biomass Fired Combined Heat and Power Potentials in Austria," Discussion Papers DP-43-2009, University of Natural Resources and Life Sciences, Vienna, Department of Economics and Social Sciences, Institute for Sustainable Economic Development.
    8. Zhao, Xueyan & Mullen, John D. & Griffith, Garry R. & Griffiths, William E. & Piggott, Roley R., 2000. "An Equilibrium Displacement Model of the Australian Beef Industry," Research Reports 28007, New South Wales Department of Primary Industries Research Economists.
    9. Mounter, Stuart W. & Griffith, Garry R. & Piggott, Roley R. & Fleming, Euan M. & Zhao, Xueyan, 2008. "Potential returns to the Australian sheep and wool industries from effective R&D and promotion investments and their sensitivities to assumed elasticity values," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 16.
    10. Mounter, Stuart W. & Griffith, Garry R. & Piggott, Roley R. & Mullen, John D., 2005. "The Relative Payoffs From R&D and Generic Advertising Expenditure by the Australian Pig Industry," Working Papers 12943, University of New England, School of Economics.
    11. Griffiths, William E. & O'Donnell, Christopher J. & Cruz, Agustina Tan, 1999. "Imposing Regularity Conditions On A System Of Cost And Factor Share Equations," Working Papers 12925, University of New England, School of Economics.
    12. Salhofer, Klaus & Schneider, Friedrich & Streicher, Gerhard, 1999. "Least Cost Efficiency Of Agricultural Programs: An Empirical Investigation," 1999 Annual meeting, August 8-11, Nashville, TN 21565, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. Mounter, Stuart W. & Griffith, Garry R. & Piggott, Roley R. & Fleming, Euan M. & Zhao, Xueyan, 2008. "An Equilibrium Displacement Model of the Australian Sheep and Wool Industries," Research Reports 37663, New South Wales Department of Primary Industries Research Economists.
    14. Naseem, Anwar & Singla, Rohit, 2013. "Ex Ante Economic Impact Analysis of Novel Traits in Canola," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 38(2), pages 1-21, August.
    15. Lana Awada & Peter W. B. Phillips, 2021. "The distribution of returns from land efficiency improvement in multistage production systems," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 69(1), pages 73-92, March.
    16. Bullock, David S. & Salhofer, Klaus, 2003. "Judging agricultural policies: a survey," Agricultural Economics, Blackwell, vol. 28(3), pages 225-243, May.
    17. Chang, Min & Sumner, Daniel A., 2004. "Trade Impact On Food Security: Analysis On Farm Households In Rural China," 2004 Annual meeting, August 1-4, Denver, CO 20322, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    18. Xueyan Zhao & Kym Anderson & Glyn Wittwer, 2002. "Who Gains from Australian Generic Wine R&D and Promotion?," Centre for International Economic Studies Working Papers 2002-04, University of Adelaide, Centre for International Economic Studies.
    19. Mounter, Stuart W. & Griffith, Garry R., 2011. "A pig in a poke? Accounting for uncertainty about elasticity values in an EDM of the Australian pig industry," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 19, pages 1-9.
    20. Vere, David T. & Jones, Randall E. & Dowling, Peter, 2004. "An Economic Evaluation of Research into the Improved Management of the Annual Grass Weed Vulpia in Temperate Pastures in South-Eastern Australia," Research Reports 42503, New South Wales Department of Primary Industries Research Economists.
    21. Mounter, Stuart W. & Griffith, Garry R. & Piggott, Roley R., 2004. "The Payoff from Generic Advertising by the Australian Pig Industry in the Presence of Trade," Working Papers 12946, University of New England, School of Economics.
    22. Zhao, Xueyan & Anderson, Kym & Wittwer, Glyn, 2003. "Who gains from Australian generic wine promotion and R&D?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 47(2), pages 1-29, June.
    23. Mounter, Stuart W. & Griffith, Garry R. & Piggott, Roley R., 2005. "The Payoff from Generic Advertising by the Australian Pig Industry in the Presence of Trade," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 13.
    24. Takeshima, Hiroyuki, 2011. "Distribution of welfare gains from GM cassava in Uganda across different population groups and market margins," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 6(1), pages 1-20, March.
    25. Salhofer, Klaus & Schmid, Erwin, 2004. "Distributive leakages of agricultural support: some empirical evidence," Agricultural Economics, Blackwell, vol. 30(1), pages 51-62, January.
    26. Griffith, Garry & Jacob, Robin & Mounter, Stuart & Zhang, Yue, 2021. "The Benefits of Dry Ageing of Mutton to the Australian Sheep Meat Industry," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 29(3), May.
    27. Borrell, Brent & Jiang, Tingsong & Pearce, David & Gould, Ian, 2014. "Payoffs from research and development along the Australian food value chain: a general equilibrium analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 58(3), July.
    28. Vere, David T. & Jones, Randall E. & Griffith, Garry R., 2003. "Economic benefits of public investment in weed management: the case of vulpia in south-eastern Australia’s temperate pasture areas," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 47(4), pages 1-21.
    29. Kenneth Clements & Yihui Lan & Xueyan Zhao, 2010. "The demand for marijuana, tobacco and alcohol: inter-commodity interactions with uncertainty," Empirical Economics, Springer, vol. 39(1), pages 203-239, August.
    30. Zhao, Xueyan & Griffith, Garry R. & Mullen, John D., 2000. "Returns to New Technologies in the Australian Beef Industry: On-farm Research versus Off-farm Research," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123749, Australian Agricultural and Resource Economics Society.
    31. Rickard, Bradley J. & Lei, Lei, 2010. "How important are sanitary and phytosanitary barriers in international markets for fresh fruit?," Working Papers 126974, Cornell University, Department of Applied Economics and Management.
    32. Lei, Lei, 2018. "Effects of trade policy on technological innovation in agricultural markets - implications for the developing economies," IDE Discussion Papers 687, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    33. Xueyan Zhao & John Mullen & Garry Griffith & Roley Piggott & William Griffiths, 2003. "The incidence of gains and taxes associated with R&D and promotion in the Australian beef industry," Agribusiness, John Wiley & Sons, Ltd., vol. 19(3), pages 333-344.

  33. W. E. Griffiths, 1999. "Estimating consumer surplus comments on "using simulation methods for bayesian econometric models: inference development and communication"," Econometric Reviews, Taylor & Francis Journals, vol. 18(1), pages 75-87.

    Cited by:

    1. Xibin Zhang & Maxwell L. King, 2011. "Bayesian semiparametric GARCH models," Monash Econometrics and Business Statistics Working Papers 24/11, Monash University, Department of Econometrics and Business Statistics.
    2. Liu, Chun & Liu, Qing, 2012. "Marginal likelihood calculation for the Gelfand–Dey and Chib methods," Economics Letters, Elsevier, vol. 115(2), pages 200-203.
    3. Viktors Ajevskis & Kristine Vitola, 2011. "Fixed Exchange Rate Versus Inflation Targeting: Evidence from DSGE Modelling," Working Papers 2011/02, Latvijas Banka.
    4. Riggi, Marianna & Tancioni, Massimiliano, 2010. "Nominal vs real wage rigidities in New Keynesian models with hiring costs: A Bayesian evaluation," Journal of Economic Dynamics and Control, Elsevier, vol. 34(7), pages 1305-1324, July.
    5. Dewachter, Hans & Iania, Leonardo & Lyrio, Marco, 2011. "A New-Keynesian Model of the Yield Curve with Learning Dynamics: A Bayesian Evaluation," Insper Working Papers wpe_250, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    6. Hirose, Yasuo, 2010. "Monetary policy and sunspot fluctuation in the U.S. and the Euro area," MPRA Paper 33693, University Library of Munich, Germany.
    7. Yasuo Hirose, 2008. "Equilibrium Indeterminacy and Asset Price Fluctuation in Japan: A Bayesian Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(5), pages 967-999, August.
    8. Warne, Anders, 2006. "Bayesian inference in cointegrated VAR models: with applications to the demand for euro area M3," Working Paper Series 692, European Central Bank.
    9. David S. Bullock & Klaus Salhofer & Jukka Kola, 1999. "The Normative Analysis of Agricultural Policy: A General Framework and Review," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(3), pages 512-535, September.
    10. Hibiki Ichiue & Takushi Kurozumi & Takeki Sunakawa, 2008. "Inflation Dynamics and Labor Adjustments in Japan: A Bayesian DSGE Approach," Bank of Japan Working Paper Series 08-E-9, Bank of Japan.
    11. Rangan Gupta & Rudi Steinbach, 2010. "Forecasting Key Macroeconomic Variables of the South African Economy: A Small Open Economy New Keynesian DSGE-VAR Model," Working Papers 201019, University of Pretoria, Department of Economics.
    12. Xibin Zhang & Maxwell L. King & Han Lin Shang, 2011. "Bayesian estimation of bandwidths for a nonparametric regression model with a flexible error density," Monash Econometrics and Business Statistics Working Papers 10/11, Monash University, Department of Econometrics and Business Statistics.
    13. Griffiths, W.E., 2001. "Bayesian Inference in the Seemingly Unrelated Regressions Models," Department of Economics - Working Papers Series 793, The University of Melbourne.
    14. Bryant, Henry L. & Davis, George C., 2003. "Information Based Model Averaging And Internal Metanalysis In Seemingly Unrelated Regressions With An Application To A Demand System," 2003 Annual meeting, July 27-30, Montreal, Canada 21918, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

  34. Chotikapanich, Duangkamon & Griffiths, William E., 1998. "Carnarvon Gorge: a comment on the sensitivity of consumer surplus estimation," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 42(3), pages 1-13.

    Cited by:

    1. de Frutos, Pablo & Rodríguez-Prado, Beatriz & Latorre, Joaquín & Martínez-Peña, Fernando, 2019. "Environmental valuation and management of wild edible mushroom picking in Spain," Forest Policy and Economics, Elsevier, vol. 100(C), pages 177-187.
    2. Jones, Thomas E. & Yang, Yang & Yamamoto, Kiyotatsu, 2017. "Assessing the recreational value of world heritage site inscription: A longitudinal travel cost analysis of Mount Fuji climbers," Tourism Management, Elsevier, vol. 60(C), pages 67-78.
    3. Bennett, Jeffrey W., 2005. "Australasian environmental economics: contributions, conflicts and ‘cop-outs’," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 49(3), pages 1-19.
    4. Nicola Lansdell & Lata Gangadharan, 2003. "Comparing Travel Cost Models And The Precision Of Their Consumer Surplus Estimates: Albert Park And Maroondah Reservoir," Australian Economic Papers, Wiley Blackwell, vol. 42(4), pages 399-417, December.
    5. Wilson, Matthew A. & Hoehn, John P., 2006. "Valuing environmental goods and services using benefit transfer: The state-of-the art and science," Ecological Economics, Elsevier, vol. 60(2), pages 335-342, December.
    6. Muhammad Rafiq & Shafiqullah, 2007. "Demand Analysis of Recreation Visits to Chitral Valley: A Natural Resource Management Perspective," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 46(4), pages 971-984.
    7. Read, Michael & Sinden, Jack A. & Branson, Jane & Sturgess, Neil H., 1999. "Recreational use values for Victoria’s Parks," 1999 Conference (43th), January 20-22, 1999, Christchurch, New Zealand 124541, Australian Agricultural and Resource Economics Society.
    8. Saúl Torres-Ortega & Rubén Pérez-Álvarez & Pedro Díaz-Simal & Julio Manuel De Luis-Ruiz & Felipe Piña-García, 2018. "Economic Valuation of Cultural Heritage: Application of Travel Cost Method to the National Museum and Research Center of Altamira," Sustainability, MDPI, vol. 10(7), pages 1-13, July.

  35. Griffiths, William E & Chotikapanich, Duangkamon, 1997. "Bayesian Methodology for Imposing Inequality Constraints on a Linear Expenditure System with Demographic Factors," Australian Economic Papers, Wiley Blackwell, vol. 36(69), pages 321-341, December.

    Cited by:

    1. Barnett, William A. & Serletis, Apostolos, 2008. "Consumer preferences and demand systems," MPRA Paper 8413, University Library of Munich, Germany.
    2. Griffiths, William E. & Newton, Lisa S. & O'Donnell, Christopher J., 2010. "Predictive densities for models with stochastic regressors and inequality constraints: Forecasting local-area wheat yield," International Journal of Forecasting, Elsevier, vol. 26(2), pages 397-412, April.
    3. Georges Bresson & Anoop Chaturvedi & Mohammad Arshad Rahman & Shalabh, 2020. "Seemingly Unrelated Regression with Measurement Error: Estimation via Markov chain Monte Carlo and Mean Field Variational Bayes Approximation," Papers 2006.07074, arXiv.org.
    4. Chotikapanich, D. & Griffiths, W.E. & Rao, D.S.P., 2001. "Averaging Income Distributions," Department of Economics - Working Papers Series 798, The University of Melbourne.
    5. Duangkamon Chotikapanich & William E. Griffiths, 2006. "Bayesian Assessment of Lorenz and Stochastic Dominance in Income Distributions," Department of Economics - Working Papers Series 960, The University of Melbourne.
    6. Chotikapanich, Duangkamon & Griffiths, William E., 2000. "Flexible Distributed Lags," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123623, Australian Agricultural and Resource Economics Society.
    7. Chua, C.L. & Griffiths, W.E. & O'Donnell, C.J., 2001. "Bayesian Model Averaging in Consumer Demand Systems with Inequality Constraints," Department of Economics - Working Papers Series 806, The University of Melbourne.
    8. Griffiths, W.E., 2001. "Bayesian Inference in the Seemingly Unrelated Regressions Models," Department of Economics - Working Papers Series 793, The University of Melbourne.
    9. W.E. Griffiths & Ma. Rebecca Valenzuela, 2004. "Gibbs Samplers for a Set of Seemingly Unrelated Regressions," Department of Economics - Working Papers Series 912, The University of Melbourne.
    10. Feng, Guohua & Serletis, Apostolos, 2008. "Productivity trends in U.S. manufacturing: Evidence from the NQ and AIM cost functions," Journal of Econometrics, Elsevier, vol. 142(1), pages 281-311, January.

  36. Griffiths, William & Judge, George, 1992. "Testing and estimating location vectors when the error covariance matrix is unknown," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 121-138.

    Cited by:

    1. Richard Frank & Karine Lamiraud, 2008. "Choice, Price Competition and Complexity in Markets for Health Insurance," NBER Working Papers 13817, National Bureau of Economic Research, Inc.
    2. Horowitz, Joel L. & Savin, N. E., 2000. "Empirically relevant critical values for hypothesis tests: A bootstrap approach," Journal of Econometrics, Elsevier, vol. 95(2), pages 375-389, April.
    3. Sanjay Ramchander & Marc Simpson & Mukesh Chaudhry, 2003. "The impact of inflationary news on money market yields and volatilities," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 27(1), pages 85-101, March.

  37. Wan, Guang H & Griffiths, William E & Anderson, Jock R, 1992. "Using Panel Data to Estimate Risk Effects in Seemingly Unrelated Production Functions," Empirical Economics, Springer, vol. 17(1), pages 35-49.

    Cited by:

    1. Do, Huu-Luat & Dang Thuy, Truong, 2022. "Productivity response and production risk: A study of mangrove forest effects in aquaculture in the Mekong River Delta," Ecological Economics, Elsevier, vol. 194(C).
    2. Asche, Frank & Tveteras, Ragnar, 1999. "Modeling Production Risk With A Two-Step Procedure," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(2), pages 1-16, December.
    3. Alain Carpentier & Robert D. Weaver, 1995. "The contribution of pesticides to agricultural production : a reconsideration [Le rôle des pesticides dans la production agricole : nouvelle approche]," Post-Print hal-02850939, HAL.
    4. Nolan, Elizabeth & Santos, Paulo, 2012. "Insurance premiums and GM traits," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 125942, International Association of Agricultural Economists.
    5. Tai-Hsin Huang & Tong-Liang Kao, 2006. "Joint estimation of technical efficiency and production risk for multi-output banks under a panel data cost frontier model," Journal of Productivity Analysis, Springer, vol. 26(1), pages 87-102, August.
    6. Alain Carpentier & Robert D. Weaver, 1996. "Assessment of producers' attitude toward risk and information using panel data : the example of pesticide use in the French crop sector," Post-Print hal-01931607, HAL.
    7. Ragnar Tveteras & Ola Flaten & Gudbrand Lien, 2011. "Production risk in multi-output industries: estimates from Norwegian dairy farms," Applied Economics, Taylor & Francis Journals, vol. 43(28), pages 4403-4414.
    8. Bin Zhou & Qinfeng Xu & Jinhong You, 2011. "Efficient estimation for error component seemingly unrelated nonparametric regression models," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 73(1), pages 121-138, January.
    9. Ragnar Tveteros, 1999. "Production Risk and Productivity Growth: Some Findings for Norwegian Salmon Aquaculture," Journal of Productivity Analysis, Springer, vol. 12(2), pages 161-179, September.
    10. Jinhong You & Alan Wan & Shu Liu & Yong Zhou, 2015. "A varying-coefficient approach to estimating multi-level clustered data models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 24(2), pages 417-440, June.
    11. Badi Baltagi & Alain Pirotte, 2011. "Seemingly unrelated regressions with spatial error components," Empirical Economics, Springer, vol. 40(1), pages 5-49, February.
    12. Ragner Tveterås & G. H. Wan, 2000. "Flexible panel data models for risky production technologies with an application to salmon aquaculture," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 367-389.
    13. Tai-Hsin Huang, 2004. "Empirical estimation of production risk using a cost function with panel data," Applied Economics Letters, Taylor & Francis Journals, vol. 11(5), pages 297-301.
    14. Erik Biørn & Kjersti-Gro Lindquist & Terje Skjerpen, 2000. "Heterogeneity in Returns to Scale: A Random Coefficient Analysis with Unbalanced Panel Data," Discussion Papers 292, Statistics Norway, Research Department.
    15. Tomson Ogwang, 2022. "The regression approach to the measurement and decomposition of the multidimensional Watts poverty index," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(4), pages 951-973, December.

  38. Griffiths, William E., 1988. "Bayesian Econometrics and How to Get Rid of Those Wrong Signs," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 56(01), pages 145-145, April.

    Cited by:

    1. Nicholas E. Piggott, 2003. "Measures of precision for estimated welfare effects for producers from generic advertising," Agribusiness, John Wiley & Sons, Ltd., vol. 19(3), pages 379-391.
    2. Chalil, Diana, 2008. "Market power and subsidies in the Indonesian palm oil industry," 2008 Conference (52nd), February 5-8, 2008, Canberra, Australia 6022, Australian Agricultural and Resource Economics Society.
    3. Fofana, Abdulai & Jaffry, Shabbar, 2008. "Measuring Oligopsony Power of UK Salmon Retailers," Working Papers 61116, Scotland's Rural College (formerly Scottish Agricultural College), Land Economy & Environment Research Group.
    4. 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.

  39. Griffiths, William E. & Anderson, Jock R. & Hamal, K.B., 1987. "Subjective Distributions As Econometric Response Data," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 31(2), pages 1-15, August.

    Cited by:

    1. Krah, Kwabena & Petrolia, Daniel & Williams, Angelica & Coble, Keith & Harri, Ardian & Rejesus, Roderick, 2015. "Producer preferences for contracts on a risky bioenergy crop," Working Papers 212483, Mississippi State University, Department of Agricultural Economics.
    2. Norris, Patricia E. & Kramer, Randall A., 1990. "The Elicitation of Subjective Probabilities with Applications in Agricultural Economics," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 58(02-03), pages 1-21, December.

  40. Griffiths, William E., 1986. "A Bayesian Framework For Optimal Input Allocation With An Uncertain Stochastic Production Function," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 30(2-3), pages 1-25, August.

    Cited by:

    1. William E. Griffiths & Jock R. Anderson & K.B. Hamal, 1987. "Subjective Distributions As Econometric Response Data," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 31(2), pages 127-141, August.
    2. Wall, Charles A. & Fisher, Brian S., 1988. "Supply Response and the Theory of Production and Profit Functions," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 56(03), pages 1-22, December.

  41. Griffiths, W. E. & Surekha, K., 1986. "A Monte Carlo evaluation of the power of some tests for heteroscedasticity," Journal of Econometrics, Elsevier, vol. 31(2), pages 219-231, March.

    Cited by:

    1. Dufour, Jean-Marie & Khalaf, Lynda & Bernard, Jean-Thomas & Genest, Ian, 2004. "Simulation-based finite-sample tests for heteroskedasticity and ARCH effects," Journal of Econometrics, Elsevier, vol. 122(2), pages 317-347, October.
    2. Z. L. Yang Y. K. Tse, 2004. "Tests of Functional Form and Heteroscedasticity," Econometric Society 2004 Australasian Meetings 302, Econometric Society.
    3. Rahman, Shahidur & King, Maxwell L., 1997. "Marginal-likelihood score-based tests of regression disturbances in the presence of nuisance parameters," Journal of Econometrics, Elsevier, vol. 82(1), pages 81-106.
    4. Brown, Kenneth & Cribari-Neto, Francisco, 1992. "On Hypothesis Testing: A Selective Look at the Lagrange Multiplier, Likelihood Ratio and Wald Tests," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 12(2), November.

  42. Miyazaki, Shigetaka & Griffiths, William E., 1984. "The properties of some covariance matrix estimators in linear models with AR(1) errors," Economics Letters, Elsevier, vol. 14(4), pages 351-356.

    Cited by:

    1. Jean-Marie Dufour & Malika Neifar, 2003. "Méthodes d'inférence exactes pour un modèle de régression avec erreurs AR(2) gaussiennes," CIRANO Working Papers 2003s-54, CIRANO.
    2. Dufour, J.M. & Torres, O., 2000. "Markovian Progresses, Two-Sided Autoregressions and Finite-Sample Inference for Stationary and Nonstationary Autoregressive Processes," Cahiers de recherche 2000-12, Centre interuniversitaire de recherche en économie quantitative, CIREQ.

  43. Griffiths, W.E. & Beesley, P.A.A., 1984. "The small-sample properties of some preliminary test estimators in a linear model with autocorrelated errors," Journal of Econometrics, Elsevier, vol. 25(1-2), pages 49-61.

    Cited by:

    1. Paul Kabaila & Davide Farchione & Samer Alhelli & Nathan Bragg, 2021. "The effect of a Durbin–Watson pretest on confidence intervals in regression," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 75(1), pages 4-23, February.
    2. Banerjee, Anurag N. & Magnus, Jan R., 1999. "The sensitivity of OLS when the variance matrix is (partially) unknown," Journal of Econometrics, Elsevier, vol. 92(2), pages 295-323, October.
    3. Banerjee, A.N. & Magnus, J.R., 1996. "Testing the Sensitivity of OLS when the Variance Maxtrix is (Partially) Unknown," Other publications TiSEM e942b349-586c-4201-9228-0, Tilburg University, School of Economics and Management.
    4. C. R. McKenzie & Michael McAleer, 2001. "Comparing Tests of Autoregressive Versus Moving Average Errors in Regression Models Using Bahadur's Asymptotic Relative Efficiency," ISER Discussion Paper 0537, Institute of Social and Economic Research, Osaka University.
    5. Baltagi, Badi H. & Li, Qi, 1995. "Testing AR(1) against MA(1) disturbances in an error component model," Journal of Econometrics, Elsevier, vol. 68(1), pages 133-151, July.
    6. Banerjee, A.N., 1997. "The sensitivity of estimates, inferences and forecasts of linear models," Other publications TiSEM 3238733e-f996-4fd9-95ec-0, Tilburg University, School of Economics and Management.

  44. Doran, H. E. & Griffiths, W. E., 1983. "On the relative efficiency of estimators which include the initial observations in the estimation of seemingly unrelated regressions with first-order autoregressive disturbances," Journal of Econometrics, Elsevier, vol. 23(2), pages 165-191, October.

    Cited by:

    1. Moundigbaye, Mantobaye & Messemer, Clarisse & Parks, Richard W. & Reed, W. Robert, 2019. "Bootstrap methods for inference in the Parks model," Economics Discussion Papers 2019-39, Kiel Institute for the World Economy (IfW Kiel).
    2. Alan T. K. Wan & Jinhong You & Riquan Zhang, 2016. "A Seemingly Unrelated Nonparametric Additive Model with Autoregressive Errors," Econometric Reviews, Taylor & Francis Journals, vol. 35(5), pages 894-928, May.
    3. Oriana Bandiera & Iwan Barankay & Imran Rasul, 2007. "Incentives for Managers and Inequality among Workers: Evidence from a Firm-Level Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(2), pages 729-773.
    4. Christis Katsouris, 2023. "Estimating Conditional Value-at-Risk with Nonstationary Quantile Predictive Regression Models," Papers 2311.08218, arXiv.org, revised Apr 2024.
    5. Rajiv Banker & Seok-Young Lee & Gordon Potter & Dhinu Srinivasan, 2010. "The impact of supervisory monitoring on high-end retail sales productivity," Annals of Operations Research, Springer, vol. 173(1), pages 25-37, January.
    6. Banker, Rajiv D. & Chang, Hsihui & Lee, Seok-Young, 2010. "Differential impact of Korean banking system reforms on bank productivity," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1450-1460, July.
    7. Banker, Rajiv D. & Chang, Hsi-Hui & Majumdar, Sumit K., 1998. "Economies of scope in the U.S. telecommunications industry1," Information Economics and Policy, Elsevier, vol. 10(2), pages 253-272, June.
    8. Banker, Rajiv D. & Lee, Seok-Young & Potter, Gordon, 1996. "A field study of the impact of a performance-based incentive plan," Journal of Accounting and Economics, Elsevier, vol. 21(2), pages 195-226, April.

  45. Anderson, Jock R. & Griffiths, William E., 1982. "Production Risk And Efficient Allocation Of Resources," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 26(3), pages 1-7, December.

    Cited by:

    1. Schuurs, Mark & Wegener, Malcolm K., 1999. "Farm Dams - Are They An Option For The Queensland Sugar Industry," 1999 Conference (43th), January 20-22, 1999, Christchurch, New Zealand 124549, Australian Agricultural and Resource Economics Society.
    2. William E. Griffiths, 1986. "A Bayesian Framework For Optimal Input Allocation With An Uncertain Stochastic Production Function," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 30(2-3), pages 128-152, 08-12.
    3. Passmore, J.G. & Brown, Colin G., 1991. "Analysis Of Rangeland Degradation Using Stochastic Dynamic Programming," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 35(2), pages 1-27, August.
    4. Antle, John, 1987. "Technology and Uncertainty: Evidence from Egypt," 1987 Occasional Paper Series No. 4 197406, International Association of Agricultural Economists.
    5. Salassi, Michael E. & Deliberto, Michael A. & Guidry, Kurt M., 2013. "Economically optimal crop sequences using risk-adjusted network flows: Modeling cotton crop rotations in the southeastern United States," Agricultural Systems, Elsevier, vol. 118(C), pages 33-40.
    6. Anderson, Jock R. & Dillon, John L. & Hardaker, J. Brian, 1985. "Farmers and Risk," 1985 Conference, August 26-September 4, 1985, Malaga, Spain 183026, International Association of Agricultural Economists.
    7. Wall, Charles A. & Fisher, Brian S., 1988. "Supply Response and the Theory of Production and Profit Functions," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 56(03), pages 1-22, December.

  46. Anderson, Jock R. & Griffiths, William E., 1981. "Production Risk And Input Use: Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 25(2), pages 1-11, August.

    Cited by:

    1. Svend Rasmussen, 2003. "Criteria for optimal production under uncertainty. The state‐contingent approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 47(4), pages 447-476, December.
    2. William E. Griffiths, 1986. "A Bayesian Framework For Optimal Input Allocation With An Uncertain Stochastic Production Function," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 30(2-3), pages 128-152, 08-12.
    3. Nolan, Elizabeth & Santos, Paulo, 2012. "Insurance premiums and GM traits," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 125942, International Association of Agricultural Economists.
    4. Abedullah & Mubaraik Ali, 2006. "Quantifying the Extent and Nature of Risk in Alternative Cropping Patterns in Claveria, Philippines," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 45(2), pages 261-280.
    5. Abedullah, & Pandey, Sushil, 2004. "Risk and Fertilizer Use in the Rainfed Rice Ecosystem of Tarlac, Philippines," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 36(1), pages 241-250, April.
    6. Gallacher, Marcos, 1995. "The management factor in developing-country agriculture: Argentina," Agricultural Systems, Elsevier, vol. 47(1), pages 25-38.
    7. Wall, Charles A. & Fisher, Brian S., 1988. "Supply Response and the Theory of Production and Profit Functions," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 56(03), pages 1-22, December.

  47. Griffiths, William & Dao, Dan, 1980. "A note on a Bayesian estimator in an autocorrelated error model," Journal of Econometrics, Elsevier, vol. 12(3), pages 389-392, April.

    Cited by:

    1. Reif, Jiri, 2007. "Asymptotic behaviour of regression pre-test estimators with minimal Bayes risk," Journal of Econometrics, Elsevier, vol. 140(2), pages 413-424, October.
    2. Zellner, Arnold, 1998. "The finite sample properties of simultaneous equations' estimates and estimators Bayesian and non-Bayesian approaches," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 185-212.

  48. Battese, G E & Griffiths, W E, 1980. "On R2-Statistics for the General Linear Model with Non-Scalar Covariance Matrix," Australian Economic Papers, Wiley Blackwell, vol. 19(35), pages 343-348, December.

    Cited by:

    1. Mullen, John D. & Powell, Roy A. & Reece, B.F., 1980. "The Income And Consumption Experiences Of A Sample Of Farm Families," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 24(3), pages 1-15, December.

  49. Griffiths, William E. & Drynan, Ross G. & Prakash, Surekha, 1979. "Bayesian estimation of a random coefficient model," Journal of Econometrics, Elsevier, vol. 10(2), pages 201-220, June.

    Cited by:

    1. Teague, Mark L. & Wade Brorsen, B., 1995. "Pesticide Productivity: What are the Trends?," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 27(1), pages 276-282, July.

  50. Griffiths, William E. & Anderson, Jock R., 1978. "Specification Of Agricultural Supply Functions - Empirical Evidence On Wheat In Southern N.S.W," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 22(2-3), pages 1-14, August.

    Cited by:

    1. Anderson, Jock R., 1979. "Impacts of Climatic Variability in Australian Agriculture: A Review," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 47(03), pages 1-31, December.
    2. Anderson, Jock R., 2003. "Risk in rural development: challenges for managers and policy makers," Agricultural Systems, Elsevier, vol. 75(2-3), pages 161-197.
    3. Amina Al Naabi & Shekar Bose, 2020. "Do Regulatory Measures Necessarily Affect Oman’s Seafood Export-Supply?," SAGE Open, , vol. 10(3), pages 21582440209, August.
    4. Anderson, Jock R. & Dillon, John L. & Hazell, Peter B.R. & Cowie, A.J. & Wan, G.H., 1988. "Changing Variability in Cereal Production in Australia," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 56(03), pages 1-17, December.
    5. Sanderson, B.A. & Quilkey, John J. & Freebairn, John W., 1980. "Supply Response Of Australian Wheat Growers," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 24(2), pages 1-12, August.
    6. Coelli, Tim J., 1992. "Forecasting Wheat Production Using Shire Level Data," 1992 Conference (36th), February 10-13, 1992, Canberra, Australia 146430, Australian Agricultural and Resource Economics Society.
    7. Griffiths, William & Thomson, Graeme & Coelli, Tim, 1995. "Predicting Output From Seemingly Unrelated Area And Yield Equations," 1995 Conference (39th), February 14-16, 1995, Perth, Australia 170821, Australian Agricultural and Resource Economics Society.
    8. Wall, Charles A. & Fisher, Brian S., 1988. "Supply Response and the Theory of Production and Profit Functions," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 56(03), pages 1-22, December.

  51. Doran, H. E. & Griffiths, W. E., 1978. "Inconsistency of the OLS estimator of the partial adjustment-adaptive expectations model," Journal of Econometrics, Elsevier, vol. 7(2), pages 133-146, June.

    Cited by:

    1. Fotopoulos, Christos V., 1995. "A partial adjustment model with rational expectations applied to the goat sector in Greece," Agricultural Economics, Blackwell, vol. 12(2), pages 163-170, August.
    2. Coyle, Barry T., 1993. "On Modeling Systems Of Crop Acreage Demands," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 18(1), pages 1-13, July.
    3. Mullen, John D. & Powell, Roy A. & Reece, B.F., 1980. "The Income And Consumption Experiences Of A Sample Of Farm Families," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 24(3), pages 1-15, December.
    4. baharumshah, ahmad, 1991. "Specification Issues and the Estimation of Supply Equation for Rice in Malaysia," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 24(December), pages 3-16.
    5. Hazard, Suzanne & Shonkwiler, J. Scott, 1984. "The Use of Expectations In Agricultural Supply Response," 1984 Annual Meeting, August 5-8, Ithaca, New York 278895, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Shonkwiler, John Scott & Hinckley, Suzanne, 1985. "A Generalized Supply Response/Factor Demand Model And Its Application To The Feeder Cattle Market," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 10(2), pages 1-9, December.

Chapters

  1. Duangkamon Chotikapanich & William E. Griffiths, 2008. "Estimating Income Distributions Using a Mixture of Gamma Densities," Economic Studies in Inequality, Social Exclusion, and Well-Being, in: Duangkamon Chotikapanich (ed.), Modeling Income Distributions and Lorenz Curves, chapter 16, pages 285-302, Springer.
    See citations under working paper version above.
  2. William Griffiths & Elizabeth Webster, 2006. "Market Valuation of Australian Intellectual Property," Chapters, in: Derek Bosworth & Elizabeth Webster (ed.), The Management of Intellectual Property, volume 0, chapter 8, Edward Elgar Publishing.

    Cited by:

    1. Duygun, Meryem & Sena, Vania & Shaban, Mohamed, 2014. "Trademarking status and economic efficiency among commercial banks: Some evidence for the UK," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 506-514.

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