Inputs, technology and efficiency: The Portuguese economy in the last three decades
Author
Suggested Citation
Download full text from publisher
References listed on IDEAS
- William Greene, 2003.
"Simulated Likelihood Estimation of the Normal-Gamma Stochastic Frontier Function,"
Journal of Productivity Analysis, Springer, vol. 19(2), pages 179-190, April.
- William H. Greene, 2000. "Simulated Likelihood Estimation of the Normal-Gamma Stochastic Frontier Function," Working Papers 00-05, New York University, Leonard N. Stern School of Business, Department of Economics.
- Greene, W.H., 2000. "Simulated Likelihood Estimation of the Normal-Gamma Stochastic Frontier Function," New York University, Leonard N. Stern School Finance Department Working Paper Seires 00-05, New York University, Leonard N. Stern School of Business-.
- Jonathan Temple, 2006. "Aggregate Production Functions and Growth Economics," International Review of Applied Economics, Taylor & Francis Journals, vol. 20(3), pages 301-317.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Joao Amador & Antonio R. dos Santos, 2018.
"Thirty years of economic growth in Africa,"
NOVAFRICA Working Paper Series
wp1802, Universidade Nova de Lisboa, Nova School of Business and Economics, NOVAFRICA.
- António Santos & João Amador, 2018. "Thirty Years of Economic Growth in Africa," Working Papers w201820, Banco de Portugal, Economics and Research Department.
- repec:ptu:bdpart:e202015 is not listed on IDEAS
- Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022.
"Stochastic Frontier Analysis: Foundations and Advances I,"
Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 8, pages 331-370,
Springer.
- Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances II," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 9, pages 371-408, Springer.
- Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2017. "Stochastic Frontier Analysis: Foundations and Advances," Working Papers 2017-10, University of Miami, Department of Economics.
- Subal C. Kumbhakar & Christopher F. Parameter & Valentin Zelenyuk, 2018. "Stochastic Frontier Analysis: Foundations and Advances," CEPA Working Papers Series WP022018, School of Economics, University of Queensland, Australia.
- Maliyamu Abudureheman & Qingzhe Jiang & Xiucheng Dong & Cong Dong, 2022. "CO 2 Emissions in China: Does the Energy Rebound Matter?," Energies, MDPI, vol. 15(12), pages 1-25, June.
- 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.
- Zainab Oyetunde-Usman & Kehinde Oluseyi Olagunju, 2019. "Determinants of Food Security and Technical Efficiency among Agricultural Households in Nigeria," Economies, MDPI, vol. 7(4), pages 1-13, October.
- Leonard Kukić, 2024. "Technical change and the postwar slowdown in Soviet economic growth in a long run perspective, 1885–2019," Economic History Review, Economic History Society, vol. 77(2), pages 644-674, May.
- Kamil Makieła & Błażej Mazur, 2020. "Bayesian Model Averaging and Prior Sensitivity in Stochastic Frontier Analysis," Econometrics, MDPI, vol. 8(2), pages 1-22, April.
- Huang, Tai-Hsin & Chen, Kuan-Chen & Lin, Chung-I, 2018. "An extension from network DEA to copula-based network SFA: Evidence from the U.S. commercial banks in 2009," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 51-62.
- Huang, Tai-Hsin & Hu, Chu-Nan & Chang, Bao-Guang, 2018. "Competition, efficiency, and innovation in Taiwan’s banking industry — An application of copula methods," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 362-375.
- Schefold, Bertram, 2008. "C.E.S. production functions in the light of the Cambridge critique," Journal of Macroeconomics, Elsevier, vol. 30(2), pages 783-797, June.
- Misgan Desale Nigusie, 2024. "Normal-beta exponential stochastic frontier model: Maximum simulated likelihood approach," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 23(3), pages 489-504, September.
- Tomáš Evan & Ilya Bolotov, 2021. "Measuring Mancur Olson: What is the Influence of Culture, Institutions and Policies on Economic Development?," Prague Economic Papers, Prague University of Economics and Business, vol. 2021(3), pages 290-315.
- Chloé DUVIVIER, 2010.
"Does Urban Proximity Enhance Technical Efficiency in Agriculture? Evidence from China,"
Working Papers
201026, CERDI.
- Chloé Duvivier Duvivier, 2012. "Does Urban Proximity Enhance Technical Efficiency in Agriculture? Evidence from China," Working Papers halshs-00552228, HAL.
- Hung-pin Lai, 2021. "Maximum simulated likelihood estimation of the seemingly unrelated stochastic frontier regressions," Empirical Economics, Springer, vol. 60(6), pages 2943-2968, June.
- Belotti, Federico & Ilardi, Giuseppe, 2018.
"Consistent inference in fixed-effects stochastic frontier models,"
Journal of Econometrics, Elsevier, vol. 202(2), pages 161-177.
- Federico Belotti & Giuseppe Ilardi, 2017. "Consistent inference in fixed-effects stochastic frontier models," Temi di discussione (Economic working papers) 1147, Bank of Italy, Economic Research and International Relations Area.
- Park, Jun-ki & Ryu, Deockhyun & Lee, Keun, 2019. "What determines the economic size of a nation in the world: Determinants of a nation’s share in world GDP vs. per capita GDP," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 203-214.
- Eduardo Fé & Richard Hofler, 2013.
"Count data stochastic frontier models, with an application to the patents–R&D relationship,"
Journal of Productivity Analysis, Springer, vol. 39(3), pages 271-284, June.
- Eduardo Fé-Rodríguez & Richard Hofler, 2009. "Count Data Stochastic Frontier Models, with an application to the patents-R&D Relationship," Economics Discussion Paper Series 0916, Economics, The University of Manchester.
- Filewod, Ben, 2024. "What can we learn from industry-level (aggregate) production functions?," LSE Research Online Documents on Economics 122388, London School of Economics and Political Science, LSE Library.
- W. Robert J. Alexander, 2015. "The Keynesian IS-MR Model and Military Spending," Defence and Peace Economics, Taylor & Francis Journals, vol. 26(2), pages 213-221, April.
- Murray D Smith, 2004. "Stochastic Frontier Models With Correlated Error Components," Econometric Society 2004 Australasian Meetings 121, Econometric Society.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ptu:bdpart:re202015. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: DEE-NTD (email available below). General contact details of provider: https://edirc.repec.org/data/bdpgvpt.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.