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Artigo de periodico
Quadratic funding with incomplete information (2024)
Freitas, Luis Mota; Maldonado, Wilfredo Fernando Leiva
Source: Social Choice and Welfare. Unidade: FEA
Subjects: FINANÇAS PÚBLICAS, BENS PÚBLICOS, ECONOMETRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FREITAS, Luis Mota e MALDONADO, Wilfredo Fernando Leiva. Quadratic funding with incomplete information. Social Choice and Welfare, 2024Tradução . . Disponível em: https://link.springer.com/article/10.1007/s00355-024-01512-7#citeas. Acesso em: 09 out. 2024.
APA
Freitas, L. M., & Maldonado, W. F. L. (2024). Quadratic funding with incomplete information. Social Choice and Welfare. doi:10.1007/s00355-024-01512-7
NLM
Freitas LM, Maldonado WFL. Quadratic funding with incomplete information [Internet]. Social Choice and Welfare. 2024 ;[citado 2024 out. 09 ] Available from: https://link.springer.com/article/10.1007/s00355-024-01512-7#citeas
Vancouver
Freitas LM, Maldonado WFL. Quadratic funding with incomplete information [Internet]. Social Choice and Welfare. 2024 ;[citado 2024 out. 09 ] Available from: https://link.springer.com/article/10.1007/s00355-024-01512-7#citeas
Parte de monografia/livro
Spatial dynamic panel model: an application to environmental violations in Brazil (2023)
Chagas, Andre Luis Squarize
Source: Applied econometric analysis using cross section and panel data. Unidade: FEA
Subjects: ECONOMETRIA, SISTEMAS DINÂMICOS, MODELOS PARA DADOS EM PAINEL, DEGRADAÇÃO AMBIENTAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CHAGAS, Andre Luis Squarize. Spatial dynamic panel model: an application to environmental violations in Brazil. Applied econometric analysis using cross section and panel data. Tradução . Berlim: Springer, 2023. . Disponível em: https://link.springer.com/chapter/10.1007/978-981-99-4902-1_15. Acesso em: 09 out. 2024.
APA
Chagas, A. L. S. (2023). Spatial dynamic panel model: an application to environmental violations in Brazil. In Applied econometric analysis using cross section and panel data. Berlim: Springer. doi:10.1007/978-981-99-4902-1_15
NLM
Chagas ALS. Spatial dynamic panel model: an application to environmental violations in Brazil [Internet]. In: Applied econometric analysis using cross section and panel data. Berlim: Springer; 2023. [citado 2024 out. 09 ] Available from: https://link.springer.com/chapter/10.1007/978-981-99-4902-1_15
Vancouver
Chagas ALS. Spatial dynamic panel model: an application to environmental violations in Brazil [Internet]. In: Applied econometric analysis using cross section and panel data. Berlim: Springer; 2023. [citado 2024 out. 09 ] Available from: https://link.springer.com/chapter/10.1007/978-981-99-4902-1_15
Monografia/livro-ed/org
Nonparametric and semiparametric regressions:: an empirical investigation of engel’s law in the context of Brazil (2023)
Almeida, Alexandre Nunes ; Azzoni, Carlos Roberto ; Chen, Tao
Source: Applied econometric analysis using cross section and panel data. Unidades: ESALQ, FEA
Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, ECONOMETRIA, ÍNDICE DE PREÇOS AO CONSUMIDOR, MODELOS PARA DADOS EM PAINEL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALMEIDA, Alexandre Nunes e AZZONI, Carlos Roberto e CHEN, Tao. Nonparametric and semiparametric regressions:: an empirical investigation of engel’s law in the context of Brazil. Applied econometric analysis using cross section and panel data. Berlim: Springer. Disponível em: https://doi.org/10.1007/978-981-99-4902-1. Acesso em: 09 out. 2024. , 2023
APA
Almeida, A. N., Azzoni, C. R., & Chen, T. (2023). Nonparametric and semiparametric regressions:: an empirical investigation of engel’s law in the context of Brazil. Applied econometric analysis using cross section and panel data. Berlim: Springer. doi:10.1007/9789819949021
NLM
Almeida AN, Azzoni CR, Chen T. Nonparametric and semiparametric regressions:: an empirical investigation of engel’s law in the context of Brazil [Internet]. Applied econometric analysis using cross section and panel data. 2023 ;[citado 2024 out. 09 ] Available from: https://doi.org/10.1007/978-981-99-4902-1
Vancouver
Almeida AN, Azzoni CR, Chen T. Nonparametric and semiparametric regressions:: an empirical investigation of engel’s law in the context of Brazil [Internet]. Applied econometric analysis using cross section and panel data. 2023 ;[citado 2024 out. 09 ] Available from: https://doi.org/10.1007/978-981-99-4902-1
Artigo de periodico
Favorable credit to private agents and the local economies in the deprived regions of Brazil: a spatial panel analysis (2023)
Silva Filho, Luís Abel; Azzoni, Carlos Roberto ; Chagas, Andre Luis Squarize ; Castro, Gustavo
Source: Letters in Spatial and Resource Sciences. Unidade: FEA
Subjects: ECONOMIA REGIONAL, CRÉDITO PÚBLICO, ECONOMETRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA FILHO, Luís Abel et al. Favorable credit to private agents and the local economies in the deprived regions of Brazil: a spatial panel analysis. Letters in Spatial and Resource Sciences, v. 16, n. 1, 2023Tradução . . Disponível em: https://link.springer.com/article/10.1007/s12076-023-00363-7. Acesso em: 09 out. 2024.
APA
Silva Filho, L. A., Azzoni, C. R., Chagas, A. L. S., & Castro, G. (2023). Favorable credit to private agents and the local economies in the deprived regions of Brazil: a spatial panel analysis. Letters in Spatial and Resource Sciences, 16( 1). doi:10.1007/s12076-023-00363-7
NLM
Silva Filho LA, Azzoni CR, Chagas ALS, Castro G. Favorable credit to private agents and the local economies in the deprived regions of Brazil: a spatial panel analysis [Internet]. Letters in Spatial and Resource Sciences. 2023 ; 16( 1):[citado 2024 out. 09 ] Available from: https://link.springer.com/article/10.1007/s12076-023-00363-7
Vancouver
Silva Filho LA, Azzoni CR, Chagas ALS, Castro G. Favorable credit to private agents and the local economies in the deprived regions of Brazil: a spatial panel analysis [Internet]. Letters in Spatial and Resource Sciences. 2023 ; 16( 1):[citado 2024 out. 09 ] Available from: https://link.springer.com/article/10.1007/s12076-023-00363-7

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