Ajax R. B. Moreira

Personal Details

First Name:	Ajax
Middle Name:	R. B.
Last Name:	Moreira
Suffix:
RePEc Short-ID:	pmo595

Affiliation

Instituto de Pesquisa Econômica Aplicada (IPEA)
Government of Brazil

Brasília, Brazil
http://www.ipea.gov.br/
RePEc:edi:ipeaabr (more details at EDIRC)

Citations

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

Working papers

1. Katia Rocha & Ajax Moreira, 2009. "Desoneração Fiscal de Não Residentes e a Estrutura a Termo da Taxa de Juros: Efeito da Medida Provisória Nº 281/2006," Discussion Papers 1449, Instituto de Pesquisa Econômica Aplicada - IPEA.

   Cited by:

   1. Eduardo P. S. Fiuza & Barbara Caballero, 2015. "Estimations od Generic Drug Entry in Brazil using count versus ordered models," Discussion Papers 0186, Instituto de Pesquisa Econômica Aplicada - IPEA.

2. Ajax Moreira & Katia Rocha, 2009. "A Política Fiscal e as Taxas de Juros Domésticas nos Países Emergentes," Discussion Papers 1438, Instituto de Pesquisa Econômica Aplicada - IPEA.

   Cited by:

   1. Paulo André Camuri & Frederico G. Jayme Jr. & Ana Maria Hermeto, 2015. "Fiscal consolidation in developed and emerging economies [Fiscal consolidation in developed and emerging economies]," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 25(spe), pages 835-861, December.

3. Katia Rocha & Ajax Moreira, 2009. "O Impacto da Política Fiscal nos Spreads Soberanos: A Austeridade Fiscal e a Qualidade do Ajuste," Discussion Papers 1422, Instituto de Pesquisa Econômica Aplicada - IPEA.

   Cited by:

   1. Eduardo P. S. Fiuza & Barbara Caballero, 2015. "Estimations od Generic Drug Entry in Brazil using count versus ordered models," Discussion Papers 0186, Instituto de Pesquisa Econômica Aplicada - IPEA.

4. Ajax R. B. Moreira & Steve M. Helfand & Adriano M. R. Figueiredo, 2007. "Explicando as diferenças na produtividade agrícola no Brasil," Discussion Papers 1254, Instituto de Pesquisa Econômica Aplicada - IPEA.

   Cited by:

   1. Morais, G. & Braga, J.M., 2018. "Irrigation and farm efficiency in Brazil," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275987, International Association of Agricultural Economists.
   2. Juliana de Sales Silva, 2021. "Technical Efficiency and Public Policies in Agriculture: An Analysis for the Eastern Amazon Region," Ensayos de Economía 19349, Universidad Nacional de Colombia Sede Medellín.
   3. Helfand, Steven M. & Rada, Nicholas E., 2015. "Brazil's Agricultural Total Factor Productivity Growth by Farm Size," IDB Publications (Working Papers) 7232, Inter-American Development Bank.
      • Helfand, Steven M. & Magalhaes, Marcelo M. & Rada, Nicholas E., 2015. "Brazil's Agricultural Total Factor Productivity Growth by Farm Size," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 204875, Agricultural and Applied Economics Association.
      • Helfand, Steven & Magalhaes, Marcelo & Rada, Nicholas, 2015. "Brazil's Agricultural Total Factor Productivity Growth by Farm Size," 2015 Conference, August 9-14, 2015, Milan, Italy 211719, International Association of Agricultural Economists.
   4. Helfand, Steven M. & Taylor, Matthew P.H., 2021. "The inverse relationship between farm size and productivity: Refocusing the debate," Food Policy, Elsevier, vol. 99(C).

5. Marcos S. Matsumura & Ajax R. B. Moreira, 2006. "Macro Factors and the Brazilian Yield Curve With no Arbitrage Models," Discussion Papers 1210, Instituto de Pesquisa Econômica Aplicada - IPEA.

   Cited by:

   1. Mr. Rodrigo Cabral & Mr. Richard Munclinger & Mr. Luiz Alves & Mr. Marco Rodriguez Waldo, 2011. "On Brazil’s Term Structure: Stylized Facts and Analysis of Macroeconomic Interactions," IMF Working Papers 2011/113, International Monetary Fund.
   2. Marco S. Matsumura, 2015. "Impact of Macro Shocks on Sovereign Default Probabilities," Discussion Papers 0173, Instituto de Pesquisa Econômica Aplicada - IPEA.
   3. Flávio de Freitas Val & Claudio Henrique da Silveira Barbedo & Marcelo Verdini Maia, 2011. "Inflation expectation and implicit inflation: does market research provide accurate measures?," Brazilian Business Review, Fucape Business School, vol. 8(3), pages 83-100, July.
   4. Marco S. Matsumura, 2006. "Impact of Macro Shocks on Sovereign Default Probabilities," Discussion Papers 1241, Instituto de Pesquisa Econômica Aplicada - IPEA.
   5. Barbedo, Claudio H.S. & de Melo, Eduardo F.L., 2012. "Joint dynamics of Brazilian interest rate yields and macro variables under a no-arbitrage restriction," Journal of Economics and Business, Elsevier, vol. 64(5), pages 364-376.
   6. Renata Tavanielli & Márcio Laurini, 2023. "Yield Curve Models with Regime Changes: An Analysis for the Brazilian Interest Rate Market," Mathematics, MDPI, vol. 11(11), pages 1-28, June.

6. Alexandra M. Schmidt & Ajax R. B. Moreira & Thais C. O. Fonseca & Steven M. Helfand, 2006. "Spatial Stochastic Frontier Models: accounting for unobserved local determinants of inefficiency," Discussion Papers 1220, Instituto de Pesquisa Econômica Aplicada - IPEA.
   • Alexandra Schmidt & Ajax Moreira & Steven Helfand & Thais Fonseca, 2009. "Spatial stochastic frontier models: accounting for unobserved local determinants of inefficiency," Journal of Productivity Analysis, Springer, vol. 31(2), pages 101-112, April.
   • Alexandra M. Schmidt & Ajax R. B. Moreira & Thais C. O. Fonseca & Steven M. Helfand, 2015. "Spatial Stochastic Frontier Models: Accounting for Unobserved Local Determinants of Inefficiency," Discussion Papers 0172, Instituto de Pesquisa Econômica Aplicada - IPEA.

   Cited by:

   1. Alejandro Puerta & Andr'es Ram'irez-Hassan, 2020. "Inferring hidden potentials in analytical regions: uncovering crime suspect communities in Medell\'in," Papers 2009.05360, arXiv.org.
   2. Maria Olivares & Heike Wetzel, 2011. "Competing in the Higher Education Market: Empirical Evidence for Economies of Scale and Scope in German Higher Education Institutions," Economics of Education Working Paper Series 0070, University of Zurich, Department of Business Administration (IBW).
      • Maria Olivares & Heike Wetzel, 2014. "Editor's Choice Competing in the Higher Education Market: Empirical Evidence for Economies of Scale and Scope in German Higher Education Institutions," CESifo Economic Studies, CESifo Group, vol. 60(4), pages 653-680.
      • Maria Olivares & Heike Wetzel, 2011. "Competing in the Higher Education Market: Empirical Evidence for Economies of Scale and Scope in German Higher Education Institutions," Working Paper Series in Economics 223, University of Lüneburg, Institute of Economics.
   3. Camilla Mastromarco & Laura Serlenga & Yongcheol Shin, 2023. "Regional Productivity Network in the EU," CESifo Working Paper Series 10404, CESifo.
   4. Sadick Mohammed & Awudu Abdulai, 2022. "Do Egocentric information networks influence technical efficiency of farmers? Empirical evidence from Ghana," Journal of Productivity Analysis, Springer, vol. 58(2), pages 109-128, December.
   5. Ricardo S. Ehlers, 2011. "Comparison of Bayesian models for production efficiency," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(11), pages 2433-2443, January.
   6. Gude, Alberto & Álvarez, Inmaculada C. & Orea, Luis, 2017. "Heterogeneous spillovers among Spanish provinces: A generalized spatial stochastic frontier model," Efficiency Series Papers 2017/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
      • Alberto Gude & Inmaculada Álvarez & Luis Orea, 2018. "Heterogeneous spillovers among Spanish provinces: a generalized spatial stochastic frontier model," Journal of Productivity Analysis, Springer, vol. 50(3), pages 155-173, December.
   7. Mari Maté-Sánchez-Val & Antonia Madrid-Guijarro, 2011. "A spatial efficiency index proposal: an empirical application to SMEs productivity," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 47(2), pages 353-371, October.
   8. Gil, Guilherme Dôco Roberti & Costa, Marcelo Azevedo & Lopes, Ana Lúcia Miranda & Mayrink, Vinícius Diniz, 2017. "Spatial statistical methods applied to the 2015 Brazilian energy distribution benchmarking model: Accounting for unobserved determinants of inefficiencies," Energy Economics, Elsevier, vol. 64(C), pages 373-383.
   9. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
   10. Orea, Luis & Álvarez, Inmaculada C., 2019. "A new stochastic frontier model with cross-sectional effects in both noise and inefficiency terms," Journal of Econometrics, Elsevier, vol. 213(2), pages 556-577.
       • Orea, Luis & Álvarez, Inmaculada C., 2017. "A new stochastic frontier model with cross-sectional effects in both noise and inefficiency terms," Efficiency Series Papers 2017/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
   11. Francisco José Areal & Kelvin Balcombe & Richard Tiffin, 2012. "Integrating spatial dependence into Stochastic Frontier Analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(4), pages 521-541, October.
       • Areal, Francisco J & Balcombe, Kelvin & Tiffin, R, 2010. "Integrating spatial dependence into stochastic frontier analysis," MPRA Paper 24961, University Library of Munich, Germany.
   12. Fei Jin & Lung-fei Lee, 2020. "Asymptotic properties of a spatial autoregressive stochastic frontier model," Journal of Spatial Econometrics, Springer, vol. 1(1), pages 1-40, December.
   13. Ioannis Skevas & Alfons Oude Lansink, 2020. "Dynamic Inefficiency and Spatial Spillovers in Dutch Dairy Farming," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 742-759, September.
   14. Pavlyuk, Dmitry, 2011. "Efficiency of broadband internet adoption in European Union member states," MPRA Paper 34183, University Library of Munich, Germany.
   15. Theodoros Skevas & Jasper Grashuis, 2020. "Technical efficiency and spatial spillovers: Evidence from grain marketing cooperatives in the US Midwest," Agribusiness, John Wiley & Sons, Ltd., vol. 36(1), pages 111-126, January.
   16. Areal, Francisco Jose & Balcombe, Kelvin & Tiffin, Richard, 2012. "Integrated spatial dependence into Stochastic Frontier Analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(4), pages 1-21, December.
   17. Klein, Nadja & Herwartz, Helmut & Kneib, Thomas, 2020. "Modelling regional patterns of inefficiency: A Bayesian approach to geoadditive panel stochastic frontier analysis with an application to cereal production in England and Wales," Journal of Econometrics, Elsevier, vol. 214(2), pages 513-539.
   18. Orea, Luis & Álvarez, Inmaculada C., 2019. "Spatial Production Economics," Efficiency Series Papers 2019/06, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
   19. Thomas Graaff, 2020. "On the estimation of spatial stochastic frontier models: an alternative skew-normal approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 267-285, April.
   20. Anthony J. Glass & Karligash Kenjegalieva & Robin Sickles, 2012. "The Effects of Efficiency and TFP Growth on Nitrogen and Sulphur Emissions in Europe: A Multistage Spatial Analysis," Discussion Paper Series 2012_11, Department of Economics, Loughborough University, revised Oct 2012.
   21. Federico Belotti & Giuseppe Ilardi & Andrea Piano Mortari, 2019. "Estimation of Stochastic Frontier Panel Data Models with Spatial Inefficiency," CEIS Research Paper 459, Tor Vergata University, CEIS, revised 30 May 2019.
   22. Kassoum Ayouba, 2023. "Spatial dependence in production frontier models," Journal of Productivity Analysis, Springer, vol. 60(1), pages 21-36, August.
       • Kassoum Ayouba, 2023. "Spatial dependence in production frontier models," Post-Print hal-04166472, HAL.
   23. Adjin, K. Christophe & Henning, Christian H. C. A., 2020. "Climate variability and farm inefficiency: A spatial stochastic frontier analysis of Senegalese agriculture," Working Papers of Agricultural Policy WP2020-09, University of Kiel, Department of Agricultural Economics, Chair of Agricultural Policy.
   24. 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.
   25. Yiorgos Gadanakis & Francisco José Areal, 2020. "Accounting for rainfall and the length of growing season in technical efficiency analysis," Operational Research, Springer, vol. 20(4), pages 2583-2608, December.

7. Ajax R. B. Moreira & Thais C. R. Fonseca, 2005. "Comparando Medidas de Produtividade: DEA, Fronteira de Produção Estocástica," Discussion Papers 1069, Instituto de Pesquisa Econômica Aplicada - IPEA.

   Cited by:

   1. Ferro, Gustavo & Lentini, Emilio J & Mercadier, Augusto & Brenner, Federica, 2014. "Eficiencia energética en el sector de agua y saneamiento: estimaciones utilizando una función de requerimientos de insumo [Energy efficiency in the water and sanitarion sector: an input requirement," MPRA Paper 58480, University Library of Munich, Germany.

8. Marco Matsumara & Ajax R.B. Moreira, 2005. "Can Macroeconomic Variables Account for the Term Structure of Sovereign Spreads? Studying the Brazilian Case," Discussion Papers 1106, Instituto de Pesquisa Econômica Aplicada - IPEA.

   Cited by:

   1. Mr. Rodrigo Cabral & Mr. Richard Munclinger & Mr. Luiz Alves & Mr. Marco Rodriguez Waldo, 2011. "On Brazil’s Term Structure: Stylized Facts and Analysis of Macroeconomic Interactions," IMF Working Papers 2011/113, International Monetary Fund.
   2. Marco S. Matsumura, 2015. "Impact of Macro Shocks on Sovereign Default Probabilities," Discussion Papers 0173, Instituto de Pesquisa Econômica Aplicada - IPEA.
   3. Marco S. Matsumura, 2006. "Impact of Macro Shocks on Sovereign Default Probabilities," Discussion Papers 1241, Instituto de Pesquisa Econômica Aplicada - IPEA.
   4. Júlio Cesar Albuquerque Bastos & Gabriel Caldas Montes, 2011. "Metasde Inflação E Estrutura A Termo Das Taxas De Juros - Uma Análise Dainfluência Da Credibilidade Sobre O Spread Da Taxa De Juros De Longoprazo No Brasil," Anais do XXXVIII Encontro Nacional de Economia [Proceedings of the 38th Brazilian Economics Meeting] 142, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].

Articles

1. Rocha, Katia & Moreira, Ajax, 2010. "The role of domestic fundamentals on the economic vulnerability of emerging markets," Emerging Markets Review, Elsevier, vol. 11(2), pages 173-182, June.

   Cited by:

   1. Piljak, Vanja & Swinkels, Laurens, 2017. "Frontier and emerging government bond markets," Emerging Markets Review, Elsevier, vol. 30(C), pages 232-255.
   2. Kady Keita & Mr. Gene L. Leon & Frederico Lima, 2019. "Do Financial Markets Value Quality of Fiscal Governance?," IMF Working Papers 2019/218, International Monetary Fund.
   3. Xiaofen Zhang & Zibibula Simayi & Shengtian Yang & Yusuyunjiang Mamitimin & Fang Shen & Yunyi Zhang, 2023. "Vulnerability Assessment of Ecological–Economic–Social Systems in Urban Agglomerations in Arid Regions—A Case Study of Urumqi–Changji–Shihezi Urban Agglomeration," Sustainability, MDPI, vol. 15(6), pages 1-17, March.
   4. Fengting Zhang & Yang Lv & Md Nazirul Islam Sarker, 2022. "Spatio-Temporal Evolution and Development Path of Industry–University–Research Cooperation and Economic Vulnerability: Evidence from China’s Yangtze River Economic Belt," Sustainability, MDPI, vol. 14(19), pages 1-19, October.
   5. Unver, Mustafa & Dogru, Bulent, 2015. "The Determinants of Economic Fragility: Case of the Fragile Five Countries," MPRA Paper 68734, University Library of Munich, Germany, revised 2015.
   6. Wong, Alfred Y-T. & Fong, Tom Pak Wing, 2011. "Analysing interconnectivity among economies," Emerging Markets Review, Elsevier, vol. 12(4), pages 432-442.
      • Alfred Wong & Tom Fong, 2010. "Analysing Interconnectivity among Economies," Working Papers 1003, Hong Kong Monetary Authority.
   7. Montes, Gabriel Caldas & Tiberto, Bruno Pires, 2012. "Macroeconomic environment, country risk and stock market performance: Evidence for Brazil," Economic Modelling, Elsevier, vol. 29(5), pages 1666-1678.
   8. Mr. Andrea F Presbitero & Mr. Dhaneshwar Ghura & Mr. Olumuyiwa S Adedeji & Lamin Njie, 2015. "International Sovereign Bonds by Emerging Markets and Developing Economies: Drivers of Issuance and Spreads," IMF Working Papers 2015/275, International Monetary Fund.
   9. Davor Kunovac, 2013. "The Borrowing Costs of Selected Countries of the European Union – the Role of the Spillover of External Shocks," Working Papers 38, The Croatian National Bank, Croatia.
   10. Kady Keita & Gene Leon & Frederico Lima, 2021. "Do Financial Markets Value Quality of Fiscal Governance?," Open Economies Review, Springer, vol. 32(5), pages 907-931, November.

2. Alexandra Schmidt & Ajax Moreira & Steven Helfand & Thais Fonseca, 2009. "Spatial stochastic frontier models: accounting for unobserved local determinants of inefficiency," Journal of Productivity Analysis, Springer, vol. 31(2), pages 101-112, April.
   • Alexandra M. Schmidt & Ajax R. B. Moreira & Thais C. O. Fonseca & Steven M. Helfand, 2006. "Spatial Stochastic Frontier Models: accounting for unobserved local determinants of inefficiency," Discussion Papers 1220, Instituto de Pesquisa Econômica Aplicada - IPEA.
   • Alexandra M. Schmidt & Ajax R. B. Moreira & Thais C. O. Fonseca & Steven M. Helfand, 2015. "Spatial Stochastic Frontier Models: Accounting for Unobserved Local Determinants of Inefficiency," Discussion Papers 0172, Instituto de Pesquisa Econômica Aplicada - IPEA.
   See citations under working paper version above.
3. Rocha, Katia & Moreira, Ajax R.B. & Reis, Eustaquio J. & Carvalho, Leonardo, 2006. "The market value of forest concessions in the Brazilian Amazon: a Real Option approach," Forest Policy and Economics, Elsevier, vol. 8(2), pages 149-160, March.

   Cited by:

   1. Chang, Sun Joseph & Zhang, Fan, 2023. "Active timber management by outsourcing stumpage price uncertainty with the American put option," Forest Policy and Economics, Elsevier, vol. 154(C).
   2. Haverkamp, Matthias Wolbert & Musshoff, Oliver, 2013. "Are short rotation coppices an alternative to traditional agricultural land use in Germany? A real options approach," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152184, Australian Agricultural and Resource Economics Society.
   3. Martin F. Quaas & Ralph Winkler, 2017. "A Market Mechanism for Sustainable and Efficient Resource Use under Uncertainty," CESifo Working Paper Series 6524, CESifo.
   4. Hildebrandt, Patrick & Knoke, Thomas, 2011. "Investment decisions under uncertainty--A methodological review on forest science studies," Forest Policy and Economics, Elsevier, vol. 13(1), pages 1-15, January.
   5. Sunderasan Srinivasan, 2015. "Economic valuation and option-based payments for ecosystem services," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 20(7), pages 1055-1077, October.

4. Seroa da Motta, Ronaldo & Moreira, Ajax, 2006. "Efficiency and regulation in the sanitation sector in Brazil," Utilities Policy, Elsevier, vol. 14(3), pages 185-195, September.

   Cited by:

   1. Oliveira, Andre R de, 2008. "Private Provision of Water Service in Brazil: Impacts on Access and Affordability," MPRA Paper 11149, University Library of Munich, Germany.
   2. Francisco González Gómez & Miguel Angel García Rubio, 2008. "Efficiency in the management of urban water services. What have we learned after four decades of research?," Hacienda Pública Española / Review of Public Economics, IEF, vol. 185(2), pages 39-67, July.
   3. Danelon, André F. & Spolador, Humberto F.S. & Kumbhakar, Subal C., 2021. "Weather and population size effects on water and sewer treatment costs: Evidence from Brazil," Journal of Development Economics, Elsevier, vol. 153(C).
   4. Ferro, Gustavo & Lentini, Emilio J & Mercadier, Augusto & Brenner, Federica, 2014. "Eficiencia energética en el sector de agua y saneamiento: estimaciones utilizando una función de requerimientos de insumo [Energy efficiency in the water and sanitarion sector: an input requirement," MPRA Paper 58480, University Library of Munich, Germany.
   5. Evan Plous Kresch, 2020. "The Buck Stops Where? Federalism, Uncertainty, and Investment in the Brazilian Water and Sanitation Sector," American Economic Journal: Economic Policy, American Economic Association, vol. 12(3), pages 374-401, August.
   6. Antonio Estache & Grégoire Garsous & Ronaldo Seroa da Motta, 2014. "Shared Mandates, Moral Hazard and Political (Mis)alignment in a Decentralized Economy," Working Papers ECARES ECARES 2014-47, ULB -- Universite Libre de Bruxelles.
      • Estache, Antonio & Garsous, Grégoire & Seroa da Motta, Ronaldo, 2016. "Shared Mandates, Moral Hazard, and Political (Mis)alignment in a Decentralized Economy," World Development, Elsevier, vol. 83(C), pages 98-110.
      • Estache, Antonio & Garsous, Grégoire & Seroa da Motta, Ronaldo, 2015. "Shared Mandates, Moral Hazard, and Political (Mis)alignment in a Decentralized Economy," IDB Publications (Working Papers) 6882, Inter-American Development Bank.
   7. José Roberto Rodrigues Afonso & Erika Amorim Araújo & Geraldo Biasoto Júnior, 2015. "Fiscal Space and Public Sector Investments in Infrastructure: a Brazilian Case-Study," Discussion Papers 0161, Instituto de Pesquisa Econômica Aplicada - IPEA.
   8. Tourinho, Marco & Barbosa, Flávia & Santos, Paulo Rosa & Pinto, Francisco Taveira & Camanho, Ana S., 2023. "Productivity change in Brazilian water services: A benchmarking study of national and regional trends," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
   9. Carvalho, Anne Emília Costa & Sampaio, Luciano Menezes Bezerra, 2015. "Paths to universalize water and sewage services in Brazil: The role of regulatory authorities in promoting efficient service," Utilities Policy, Elsevier, vol. 34(C), pages 1-10.
   10. José Roberto Rodrigues Afonso & Erika Amorim Araújo & Geraldo Biasoto Júnior, 2005. "Fiscal Space and Public Sector Investments in Infrastructure: A Brazilian Case-Study," Discussion Papers 1141, Instituto de Pesquisa Econômica Aplicada - IPEA.
   11. Yeti Nisha Madhoo & Shyam Nath, 2014. "Beneficiary charges: The Cinderella of subnational finance," Chapters, in: Richard M. Bird & Jorge Martinez-Vazquez (ed.), Taxation and Development: The Weakest Link?, chapter 11, pages 364-402, Edward Elgar Publishing.
   12. Philippe Marin, 2009. "Public-Private Partnerships for Urban Water Utilities : A Review of Experiences in Developing Countries," World Bank Publications - Books, The World Bank Group, number 2703, December.
   13. Narzetti, Daniel Antonio & Marques, Rui Cunha, 2021. "Isomorphic mimicry and the effectiveness of water-sector reforms in Brazil," Utilities Policy, Elsevier, vol. 70(C).
   14. NAUGES Céline & VAN DEN BERG Caroline, 2007. "How "natural" are natural monopolies in the water supply and sewerage sector? Case studies from developing and transition economies," LERNA Working Papers 07.05.226, LERNA, University of Toulouse.
       • Nauges, Celine & van den Berg, Caroline, 2007. "How"natural"are natural monopolies in the water supply and sewerage sector ? Case studies from developing and transition economies," Policy Research Working Paper Series 4137, The World Bank.
   15. Higuerey, Angel & Trujillo, Lourdes & González, María Manuela, 2017. "Has efficiency improved after the decentralization in the water industry in Venezuela?," Utilities Policy, Elsevier, vol. 49(C), pages 127-136.
   16. Cuadrado-Ballesteros, Beatriz & García-Sánchez, Isabel-María & Prado-Lorenzo, José-Manuel, 2013. "Effect of modes of public services delivery on the efficiency of local governments: A two-stage approach," Utilities Policy, Elsevier, vol. 26(C), pages 23-35.
   17. Celine Nauges & Caroline van den Berg, 2008. "Economies of density, scale and scope in the water supply and sewerage sector: a study of four developing and transition economies," Post-Print hal-02665237, HAL.
       • Céline Nauges & Caroline Berg, 2008. "Economies of density, scale and scope in the water supply and sewerage sector: a study of four developing and transition economies," Journal of Regulatory Economics, Springer, vol. 34(2), pages 144-163, October.
   18. Sampaio, P.R.P. & Sampaio, R.S.R, 2020. "The challenges of regulating water and sanitation tariffs under a three-level shared-authority federalism model: The case of Brazil," Utilities Policy, Elsevier, vol. 64(C).
   19. Fernando Antonio Perrone Pinheiro & José Roberto Ferreira Savoia & Claudio Felisoni de Angelo, 2016. "A Comparative Analysis of the Public and Private Water Supply and Sanitation Service Providers’ Work in Brazil," Brazilian Business Review, Fucape Business School, vol. 13(1), pages 115-136, January.
   20. Sartorius, Christian & Strauch, Manuel & Gandenberger, Carsten, 2015. "International transfer of technologies for climate adaptation: The case of membrane bio-reactors," Working Papers "Sustainability and Innovation" S8/2015, Fraunhofer Institute for Systems and Innovation Research (ISI).
   21. Lin, Chen, 2005. "Service quality and prospects for benchmarking: Evidence from the Peru water sector," Utilities Policy, Elsevier, vol. 13(3), pages 230-239, September.
   22. Barbosa, Alexandro & Lima, Severino Cesário de & Brusca, Isabel, 2016. "Governance and efficiency in the Brazilian water utilities: A dynamic analysis in the process of universal access," Utilities Policy, Elsevier, vol. 43(PA), pages 82-96.
   23. Stepping, Katharina, 2016. "Urban sewage in Brazil: drivers of and obstacles to wastewater treatment and reuse. Governing the Water-Energy-Food Nexus Series," IDOS Discussion Papers 26/2016, German Institute of Development and Sustainability (IDOS).
   24. Romano, Giulia & Molinos-Senante, María & Guerrini, Andrea, 2017. "Water utility efficiency assessment in Italy by accounting for service quality: An empirical investigation," Utilities Policy, Elsevier, vol. 45(C), pages 97-108.
   25. Tskhai, Аleksandr, 2020. "Model for evaluating the efficiency of Russian water utilities," Utilities Policy, Elsevier, vol. 62(C).
   26. Monica Bonacina & Anna Cretì & Carlotta Mariotto & Federico Pontoni, 2014. "What Determines Efficiency? An Analysis of the Italian Water Sector," IEFE Working Papers 72, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
   27. Alvaro Cavalcanti & Arthur Teixeira & Karen Pontes, 2020. "Evaluation of the Efficiency of Basic Sanitation Integrated Management in Brazilian Municipalities," IJERPH, MDPI, vol. 17(24), pages 1-29, December.
   28. Maximiliano Lauletta & Martín Rossi & Christian Ruzzier, 2021. "Playing Whac-A-Mole in the Fight against Corruption: Evidence from Random Audits in Brazil," Working Papers 157, Universidad de San Andres, Departamento de Economia, revised Sep 2021.
   29. Ferro, Gustavo & Lentini, Emilio J. & Mercadier, Augusto C. & Romero, Carlos A., 2014. "Efficiency in Brazil's water and sanitation sector and its relationship with regional provision, property and the independence of operators," Utilities Policy, Elsevier, vol. 28(C), pages 42-51.
   30. Danelon, André Felipe & Augusto, Fernanda Gaudio & Spolador, Humberto Francisco Silva, 2021. "Water resource quality effects on water treatment costs: An analysis for the Brazilian case," Ecological Economics, Elsevier, vol. 188(C).
   31. Peci, Alketa & D’Assunção, Márcio Leite & Holperin, Michelle Moretzsohn & de Souza, Celso Florêncio, 2017. "Regulation inside government: The challenges of regulating a government-owned utility," Utilities Policy, Elsevier, vol. 49(C), pages 61-70.
   32. Carvalho, Anne Emília Costa & Sampaio, Raquel Menezes Bezerra & Sampaio, Luciano Menezes Bezerra, 2023. "The impact of regulation on the Brazilian water and sewerage companies’ efficiency," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
   33. Yeti Nisha Madhoo & Shyam Nath, 2010. "Beneficiary Charges: The Cinderella of Subnational Finance," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper1317, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
   34. Tourinho, Marco & Santos, Paulo Rosa & Pinto, Francisco Taveira & Camanho, Ana S., 2022. "Performance assessment of water services in Brazilian municipalities: An integrated view of efficiency and access," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
   35. Miguel A. García-Rubio & Francisco González-Gómez & Jorge Guardiola, 2009. "Performance and ownership in the governance of urban water," FEG Working Paper Series 09/03, Faculty of Economics and Business (University of Granada).
   36. Romano, Giulia & Guerrini, Andrea, 2011. "Measuring and comparing the efficiency of water utility companies: A data envelopment analysis approach," Utilities Policy, Elsevier, vol. 19(3), pages 202-209.
   37. Barbosa, Alexandro & Brusca, Isabel, 2015. "Governance structures and their impact on tariff levels of Brazilian water and sanitation corporations," Utilities Policy, Elsevier, vol. 34(C), pages 94-105.
   38. de Souza Pereira, Mariana & Magalhães Filho, Fernando Jorge Corrêa & de Morais Lima, Priscila & Tabak, Benjamin Miranda & Constantino, Michel, 2022. "Sanitation and water services: Who is the most efficient provider public or private? Evidences for Brazil," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
   39. Sabbioni, Guillermo, 2008. "Efficiency in the Brazilian sanitation sector," Utilities Policy, Elsevier, vol. 16(1), pages 11-20, March.

5. Moreira, Ajax & Rocha, Katia & David, Pedro, 2004. "Thermopower generation investment in Brazil--economic conditions," Energy Policy, Elsevier, vol. 32(1), pages 91-100, January.

   Cited by:

   1. Reinhard Madlener & Gürkan Kumbaroglu & Volkan S. Ediger, 2004. "Modeling Technology Adoption as an Irreversible Investment Under Uncertainty: The Case of the Turkish Electricity Supply Industry," CEPE Working paper series 04-30, CEPE Center for Energy Policy and Economics, ETH Zurich.
      • Madlener, Reinhard & Kumbaroglu, Gurkan & Ediger, Volkan S., 2005. "Modeling technology adoption as an irreversible investment under uncertainty: the case of the Turkish electricity supply industry," Energy Economics, Elsevier, vol. 27(1), pages 139-163, January.
   2. MADLENER Reinhard & KUMBAROĞLU Gurkan EDIGER Volkan S., 2010. "Technology Adoption Modelling in Situations of Irreversible Investments under Uncertainty: The Case of the Turkish Electricity Supply Industry," EcoMod2003 330700092, EcoMod.
   3. Luis M. Abadie, 2009. "Valuation of Long-Term Investments in Energy Assets under Uncertainty," Energies, MDPI, vol. 2(3), pages 1-31, September.
   4. Santos, Lúcia & Soares, Isabel & Mendes, Carla & Ferreira, Paula, 2014. "Real Options versus Traditional Methods to assess Renewable Energy Projects," Renewable Energy, Elsevier, vol. 68(C), pages 588-594.
   5. Christina E. Bannier, 2016. "Bewertungsmethoden in der Projektfinanzierung Erneuerbarer Energien [Valuation Methods for Renewable Energy Projects]," Schmalenbach Journal of Business Research, Springer, vol. 68(1), pages 75-110, April.
   6. Fernandes, Bartolomeu & Cunha, Jorge & Ferreira, Paula, 2011. "The use of real options approach in energy sector investments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4491-4497.
   7. Sisodia, Gyanendra Singh & Soares, Isabel & Ferreira, Paula, 2016. "Modeling business risk: The effect of regulatory revision on renewable energy investment - The Iberian case," Renewable Energy, Elsevier, vol. 95(C), pages 303-313.
   8. Bogdan Rębiasz & Bartłomiej Gaweł & Iwona Skalna, 2017. "Valuing managerial flexibility. An application of real-option theory to steel industry investments," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 27(2), pages 91-111.
   9. Marreco, Juliana de Moraes & Carpio, Lucio Guido Tapia, 2006. "Flexibility valuation in the Brazilian power system: A real options approach," Energy Policy, Elsevier, vol. 34(18), pages 3749-3756, December.
   10. Felipe Isaza Cuervo & Sergio Botero Boterob, 2014. "Aplicación de las opciones reales en la toma de decisiones en los mercados de electricidad," Estudios Gerenciales, Universidad Icesi, November.
   11. Andreas Welling, 2017. "Green Finance: Recent developments, characteristics and important actors," FEMM Working Papers 170002, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
   12. Khalil, Helioui & Cohen, Claude & Salem Szklo, Alexandre, 2006. "How to use the clean development mechanism in the residential sector? The case of Brazilian refrigerators," Energy Policy, Elsevier, vol. 34(15), pages 2150-2160, October.
   13. Mathias, Melissa Cristina & Szklo, Alexandre, 2007. "Lessons learned from Brazilian natural gas industry reform," Energy Policy, Elsevier, vol. 35(12), pages 6478-6490, December.
   14. Caminha-Noronha, J. C. & Marangon-Lima, J. W. & Leite-Ferreira, T. G. & Unsihuay, C. & Zambroni de Souza, A. C., 2006. "Optimal Strategies for Investment in Generation of Electric Energy through Real Options," MPRA Paper 18000, University Library of Munich, Germany.
   15. Ozorio, Luiz de Magalhães & Bastian-Pinto, Carlos de Lamare & Baidya, Tara Keshar Nanda & Brandão, Luiz Eduardo Teixeira, 2013. "Investment decision in integrated steel plants under uncertainty," International Review of Financial Analysis, Elsevier, vol. 27(C), pages 55-64.
   16. Fernandes, Gláucia & Gomes, Leonardo Lima & Brandão, Luiz Eduardo Teixeira, 2018. "A risk-hedging tool for hydro power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 370-378.
   17. Gorini de Oliveira, Ricardo & de Moraes Marreco, Juliana, 2006. "Natural gas power generation in Brazil: New window of opportunity?," Energy Policy, Elsevier, vol. 34(15), pages 2361-2372, October.

6. Gamerman, Dani & Moreira, Ajax R. B., 2004. "Multivariate spatial regression models," Journal of Multivariate Analysis, Elsevier, vol. 91(2), pages 262-281, November.

   Cited by:

   1. Mkondiwa, Maxwell Gibson, 2015. "Whither Broad or Spatially Specific Fertilizer Recommendations?," Master's Theses and Plan B Papers 237344, University of Minnesota, Department of Applied Economics.
   2. Takahiro Yoshida & Morito Tsutsumi, 2018. "On the effects of spatial relationships in spatial compositional multivariate models," Letters in Spatial and Resource Sciences, Springer, vol. 11(1), pages 57-70, March.
   3. Alexandra Schmidt & Ajax Moreira & Steven Helfand & Thais Fonseca, 2009. "Spatial stochastic frontier models: accounting for unobserved local determinants of inefficiency," Journal of Productivity Analysis, Springer, vol. 31(2), pages 101-112, April.
      • Alexandra M. Schmidt & Ajax R. B. Moreira & Thais C. O. Fonseca & Steven M. Helfand, 2006. "Spatial Stochastic Frontier Models: accounting for unobserved local determinants of inefficiency," Discussion Papers 1220, Instituto de Pesquisa Econômica Aplicada - IPEA.
      • Alexandra M. Schmidt & Ajax R. B. Moreira & Thais C. O. Fonseca & Steven M. Helfand, 2015. "Spatial Stochastic Frontier Models: Accounting for Unobserved Local Determinants of Inefficiency," Discussion Papers 0172, Instituto de Pesquisa Econômica Aplicada - IPEA.
   4. Reinaldo B. Arellano-Valle & Javier E. Contreras-Reyes & Freddy O. López Quintero & Abel Valdebenito, 2019. "A skew-normal dynamic linear model and Bayesian forecasting," Computational Statistics, Springer, vol. 34(3), pages 1055-1085, September.
   5. Nascimento, Marcus Gerardus Lavagnole & Abanto-Valle, Carlos Antonio & Mendonça, Mario Jorge, 2019. "Multivariate Spatial IV Regression," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 38(2), January.
   6. Mário Jorge Mendonça & Paulo R. A. Loureiro & Antônio Nascimento & Roberto Ellery, 2021. "Assessment of the effect of broadband expansion on the economy reviewed," Review of Development Economics, Wiley Blackwell, vol. 25(4), pages 2414-2432, November.
   7. Lu Zhang & Sudipto Banerjee & Andrew O. Finley, 2021. "High‐dimensional multivariate geostatistics: A Bayesian matrix‐normal approach," Environmetrics, John Wiley & Sons, Ltd., vol. 32(4), June.
   8. Lu Zhang & Sudipto Banerjee, 2022. "Spatial factor modeling: A Bayesian matrix‐normal approach for misaligned data," Biometrics, The International Biometric Society, vol. 78(2), pages 560-573, June.

7. Gamerman, Dani & Moreira, Ajax R. B. & Rue, Havard, 2003. "Space-varying regression models: specifications and simulation," Computational Statistics & Data Analysis, Elsevier, vol. 42(3), pages 513-533, March.

   Cited by:

   1. Stefan Lang & Samson B. Adebayo & Ludwig Fahrmeir & Winfried J. Steiner, 2003. "Bayesian Geoadditive Seemingly Unrelated Regression," Computational Statistics, Springer, vol. 18(2), pages 263-292, July.
   2. Wilkinson, Darren J & KH Yeung, Stephen, 2004. "A sparse matrix approach to Bayesian computation in large linear models," Computational Statistics & Data Analysis, Elsevier, vol. 44(3), pages 493-516, January.
   3. Håvard Rue & Ingelin Steinsland & Sveinung Erland, 2004. "Approximating hidden Gaussian Markov random fields," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 66(4), pages 877-892, November.
   4. Dani Gamerman & Ajax R. B. Moreira, 2015. "Multivariate Spatial Regression Models," Discussion Papers 0116, Instituto de Pesquisa Econômica Aplicada - IPEA.
   5. Belitz, Christiane & Lang, Stefan, 2008. "Simultaneous selection of variables and smoothing parameters in structured additive regression models," Computational Statistics & Data Analysis, Elsevier, vol. 53(1), pages 61-81, September.
   6. Congdon, Peter, 2009. "Modelling the impact of socioeconomic structure on spatial health outcomes," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 3047-3056, June.
   7. Vinicius Mayrink & Dani Gamerman, 2009. "On computational aspects of Bayesian spatial models: influence of the neighboring structure in the efficiency of MCMC algorithms," Computational Statistics, Springer, vol. 24(4), pages 641-669, December.
   8. Alexandra Schmidt & Ajax Moreira & Steven Helfand & Thais Fonseca, 2009. "Spatial stochastic frontier models: accounting for unobserved local determinants of inefficiency," Journal of Productivity Analysis, Springer, vol. 31(2), pages 101-112, April.
      • Alexandra M. Schmidt & Ajax R. B. Moreira & Thais C. O. Fonseca & Steven M. Helfand, 2006. "Spatial Stochastic Frontier Models: accounting for unobserved local determinants of inefficiency," Discussion Papers 1220, Instituto de Pesquisa Econômica Aplicada - IPEA.
      • Alexandra M. Schmidt & Ajax R. B. Moreira & Thais C. O. Fonseca & Steven M. Helfand, 2015. "Spatial Stochastic Frontier Models: Accounting for Unobserved Local Determinants of Inefficiency," Discussion Papers 0172, Instituto de Pesquisa Econômica Aplicada - IPEA.
   9. Strid, Ingvar, 2010. "Efficient parallelisation of Metropolis-Hastings algorithms using a prefetching approach," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2814-2835, November.
   10. Ferreira, Marco A.R. & De Oliveira, Victor, 2007. "Bayesian reference analysis for Gaussian Markov random fields," Journal of Multivariate Analysis, Elsevier, vol. 98(4), pages 789-812, April.
   11. Congdon, P., 2007. "Bayesian modelling strategies for spatially varying regression coefficients: A multivariate perspective for multiple outcomes," Computational Statistics & Data Analysis, Elsevier, vol. 51(5), pages 2586-2601, February.
   12. Peter Congdon, 2010. "A Multilevel Model for Comorbid Outcomes: Obesity and Diabetes in the US," IJERPH, MDPI, vol. 7(2), pages 1-20, January.
   13. Hernández-Mireles, C., 2010. "Finding the Influentials that Drive the Diffusion of New Technologies," ERIM Report Series Research in Management ERS-2010-023-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
   14. Koji Miyawaki, 2013. "Space-varying Coefficient Simultaneous Autoregressive Models for the Structural Analysis of Residential Water Demand," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(4), pages 498-518, May.
   15. Bolin, David & Lindström, Johan & Eklundh, Lars & Lindgren, Finn, 2009. "Fast estimation of spatially dependent temporal vegetation trends using Gaussian Markov random fields," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 2885-2896, June.
   16. Steinsland, Ingelin, 2007. "Parallel exact sampling and evaluation of Gaussian Markov random fields," Computational Statistics & Data Analysis, Elsevier, vol. 51(6), pages 2969-2981, March.
   17. Chiara Bocci & Emilia Rocco, 2014. "Estimates for geographical domains through geoadditive models in presence of incomplete geographical information," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 23(2), pages 283-305, June.
   18. F. S. Nathoo & C. B. Dean, 2008. "Spatial Multistate Transitional Models for Longitudinal Event Data," Biometrics, The International Biometric Society, vol. 64(1), pages 271-279, March.
   19. Gamerman, Dani & Moreira, Ajax R. B., 2004. "Multivariate spatial regression models," Journal of Multivariate Analysis, Elsevier, vol. 91(2), pages 262-281, November.

8. Fiorencio, Antonio & Bello Moreira, Ajax R., 2001. "Measuring the stability of the price system," Economic Modelling, Elsevier, vol. 18(3), pages 381-397, August.

   Cited by:

   1. Tejada, César A. O. & Portugal, Marcelo S., 2002. "Credibility and Reputation: An Application of the External Circumstances Model for the Real Plan," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 56(4), October.
   2. Ajax R. B. Moreira & Dani Gamerman, 2015. "Bayesian Analysis of Econometric Time Series Models Using Hybrid Integration Rules," Discussion Papers 0105, Instituto de Pesquisa Econômica Aplicada - IPEA.

9. Lopes, Hedibert Freitas & Moreira, Ajax R. Bello & Schmidt, Alexandra Mello, 1999. "Hyperparameter estimation in forecast models," Computational Statistics & Data Analysis, Elsevier, vol. 29(4), pages 387-410, February.

   Cited by:

   1. Pooyan Amir-Ahmadi & Christian Matthes & Mu-Chun Wang, 2020. "Choosing Prior Hyperparameters: With Applications to Time-Varying Parameter Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(1), pages 124-136, January.
      • Wang, Mu-Chun, 2018. "Choosing Prior Hyperparameters: With Applications To Time-Varying Parameter Models," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181621, Verein für Socialpolitik / German Economic Association.
   2. Thiago R. Santos & Glaura C. Franco & Dani Gamerman, 2010. "Comparison of Classical and Bayesian Approaches for Intervention Analysis," International Statistical Review, International Statistical Institute, vol. 78(2), pages 218-239, August.
   3. Amaze Lusompa, 2021. "Local Projections, Autocorrelation, and Efficiency," Research Working Paper RWP 21-01, Federal Reserve Bank of Kansas City.
      • Lusompa, Amaze, 2019. "Local Projections, Autocorrelation, and Efficiency," MPRA Paper 99856, University Library of Munich, Germany, revised 11 Apr 2020.
   4. Huerta, Gabriel & Lopes, Hedibert Freitas, 2000. "Bayesian forecasting and inference in latent structure for the Brazilian Industrial Production Index," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 20(1), May.
   5. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2012. "Prior Selection for Vector Autoregressions," NBER Working Papers 18467, National Bureau of Economic Research, Inc.
      • Domenico Giannone & Michèle Lenza & Giorgio E. Primiceri, 2012. "Prior Selection for Vector Autoregressions," Working Papers ECARES ECARES 2012-002, ULB -- Universite Libre de Bruxelles.
      • Giannone, Domenico & Lenza, Michele & Primiceri, Giorgio, 2012. "Prior Selection for Vector Autoregressions," CEPR Discussion Papers 8755, C.E.P.R. Discussion Papers.
      • Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2015. "Prior Selection for Vector Autoregressions," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 436-451, May.
      • Giannone, Domenico & Lenza, Michele & Primiceri, Giorgio E., 2012. "Prior selection for vector autoregressions," Working Paper Series 1494, European Central Bank.
   6. Pooyan Amir-Ahmadi & Christian Matthes & Mu-Chun Wang, 2016. "Choosing Prior Hyperparameters," Working Paper 16-9, Federal Reserve Bank of Richmond.
   7. Lee, Namgil & Choi, Hyemi & Kim, Sung-Ho, 2016. "Bayes shrinkage estimation for high-dimensional VAR models with scale mixture of normal distributions for noise," Computational Statistics & Data Analysis, Elsevier, vol. 101(C), pages 250-276.
   8. Ho, Paul, 2023. "Global robust Bayesian analysis in large models," Journal of Econometrics, Elsevier, vol. 235(2), pages 608-642.
      • Paul Ho, 2020. "Global Robust Bayesian Analysis in Large Models," Working Paper 20-07, Federal Reserve Bank of Richmond.
      • Paul Ho, 2019. "Global Robust Bayesian Analysis in Large Models," 2019 Meeting Papers 390, Society for Economic Dynamics.
   9. Ajax R. B. Moreira & Dani Gamerman, 2015. "Bayesian Analysis of Econometric Time Series Models Using Hybrid Integration Rules," Discussion Papers 0105, Instituto de Pesquisa Econômica Aplicada - IPEA.
   10. Alexandra Mello Schmidt & Dani Gamerman & Ajax Moreira, 1999. "An adaptive resampling scheme for cycle estimation," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(5), pages 619-641.

10. Alexandra Mello Schmidt & Dani Gamerman & Ajax Moreira, 1999. "An adaptive resampling scheme for cycle estimation," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(5), pages 619-641.

    Cited by:

    1. Huerta, Gabriel & Lopes, Hedibert Freitas, 2000. "Bayesian forecasting and inference in latent structure for the Brazilian Industrial Production Index," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 20(1), May.
    2. Gamerman, Dani & Moreira, Ajax R. B. & Rue, Havard, 2003. "Space-varying regression models: specifications and simulation," Computational Statistics & Data Analysis, Elsevier, vol. 42(3), pages 513-533, March.
    3. Ajax R. B. Moreira & Dani Gamerman, 2015. "Bayesian Analysis of Econometric Time Series Models Using Hybrid Integration Rules," Discussion Papers 0105, Instituto de Pesquisa Econômica Aplicada - IPEA.
    4. Lopes, Hedibert Freitas & Moreira, Ajax R. Bello & Schmidt, Alexandra Mello, 1999. "Hyperparameter estimation in forecast models," Computational Statistics & Data Analysis, Elsevier, vol. 29(4), pages 387-410, February.

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 6 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-EFF: Efficiency and Productivity (3) 2007-08-08 2007-09-24 2007-09-24
2. NEP-ECM: Econometrics (2) 2007-08-08 2007-10-06
3. NEP-FOR: Forecasting (2) 2007-08-08 2007-10-06
4. NEP-FMK: Financial Markets (1) 2007-09-24
5. NEP-GEO: Economic Geography (1) 2007-08-08
6. NEP-MAC: Macroeconomics (1) 2007-08-08

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