Basic Course of Classical Econometrics

Cristian Orlando  Ávila Quiñones; Nilton  Marques de Oliveira

doi:10.22490/UNAD.9786287786219

Basic Course of Classical Econometrics

https://doi.org/10.22490/UNAD.9786287786219

Cristian Orlando Ávila Quiñones, ; Nilton Marques de Oliveira,

Synopsis

This book provides a rigorous yet accessible introduction to the fundamentals of classical econometrics. It is designed as a guide for students beginning the study of quantitative methods applied to economics. The text explains how economic theory, statistics, and mathematics interact in the construction and estimation of econometric models.

The book covers essential topics such as model specification, variable identification, regression analysis, and parameter estimation using the Ordinary Least Squares (OLS) method. It also introduces the mathematical tools required for econometric analysis, including matrix algebra and sample calculations.

In addition, the book discusses common econometric issues such as multicollinearity, heteroscedasticity, and autocorrelation, along with methods for identifying and addressing them. The final sections introduce time series analysis, including autoregressive processes, ARIMA models, and forecasting techniques, concluding with an applied case study on corruption risk in Colombia.

Keywords: classical econometrics, linear regression, ordinary least squares, time series analysis, matrix algebra, econometric models, statistical inference, economic data analysis

Chapters

introduction to econometrics
Sample calculation
Minimum requirements for matrix algebra
Estimation of Economic Models
Time series
Case Study : Corruption Risk in Colombia

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Almeida dos Santos, R., De Hoyos Guevara, A. J., & Sanchez Amorim, M. C. (2013). Corrupcao nas organizacoes privadas: analise da percepcao moral segundo genero, idade e grau de instrucao. Rausp: Revista de Administracao da Universidade de Sao Paulo, 48(1), 53-66. https://doi.org/10.5700/rausp1073

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Avila, C. y Oliveira, N. CORRUPCIÓN, un análisis a escala regional en Colombia. Págs. 315, 2023 UNAD, Sello Editorial UNAD.https://doi.org/10.22490/9789586519410

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Jotamar, 2018. https://www.academia.edu/43272301/DESARROLLO_Y_CRECIMIENTO_ECON%C3%93MICO_CASANARE_Lecciones_aprendidas

Avila, C., Moreno, C., Barrera, S., Rojas, N. y Oliveira, N. Globalización, localización, competitividad y especialización productiva, un análisis empírico para Colombia. Págs. 214, UNAD. Sello Editorial UNAD. Colombia, 2022. https://doi.org/10.22490/9789586518369

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Ades, A., & Di Tella, R. (1996). The Causes and Consequences of Corruption: A Review of Recent Empirical Contributions.IDS Bulletin 27(2): 6-11. https://doi. org/10.1111/j.1759-5436.1996.mp27002002.x

Ades, A., & Di Tella, R. (1999) Competition and corruption. The American Economic Review, 89(4), p 982-994, 1999. https://doi.org/10.1257/aer.89.4.982

Agatiello, O. (2010). Corruption not an end. Management Decision, 48(10), 1456-1468. http://dx.doi.org/10.1108/00251741011090270

Agerberg, M. (2019). The Curse of Knowledge? Education, Corruption, and Politics. Political Behavior, 41(2), 369-399. https://doi.org/10.1007/s11109-018-9455-7

Aidt, T. S. (2009). Corruption, institutions and economic development. Oxford Review of Economic Policy, 25, 271-291. https://doi.org/10.1093/oxrep/grp012

Avila, C. y Oliveira, N. Curso básico de econometría clásica. Págs. 180, Sello Editorial UNAD. Colombia, 2019. https://doi.org/10.22490/9789586517171

Avila, C., Sanabria, S., & Oliveira, N. Indicadores de subdesarrollo regional: una aplicación para Colombia/ Regional underdevelopment indicators: an application for Colombia. Informe GEPEC, [S. l.], v. 26, n. 1, p. 106–126, 2022. https://doi.org/10.48075/igepec.v26i1.28152

Avila, C., Sanabria, S., y Oliveira, N. Localización y especialización productiva: la región de la Amazonia colombiana. Revista Ra’ega. O Espaço Geográfico em Análise, 52, 60-83, 2021. http://dx.doi.org/10.5380/raega.v52i0.76860

Besley, T., & Persson, T. (2009). The Origins of State Capacity: Property Rights, Taxation, and Politics. American Economic Review 99(4), 1218-1244. https://doi.org/10.1257/aer.99.4.1218

Brunetti, A., & Weder, B. (2003). A Free Press is Bad News for Corruption. Journal of Public Economics 87(7-8), 1801- 1824. https://doi.org/10.1016/S0047-2727(01)00186-4

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tras la crisis de la deuda externa” en Cuadernos de Economía. Vol. 31, núm. 58, pp. 77-112. Bogotá, Universidad Nacional de Colombia.

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Cepeda, F (1997). La corrupción en Colombia. Bogotá D,C: Fedesarrollo – TM Editores.

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Gamarra Vergara, J. R. (2006). Pobreza, corrupción y participación política: una revisión para el caso colombiano. Documentos de Trabajo sobre economía Regional n.o 70. Cartagena: Banco de la República.

Glaeser, E., & Saks, R. (2006). Corruption in America. Journal of Public Economics, 90(6-7), 1053-1072. https://doi.org/10.1016/j.jpubeco.2005.08.007

Golden, M., & Picci, L. (2005). Proposal for a new measure of corruption, illustrated with Italian data. Economics & Politics, 17(1), 37-75. https://doi.org/10.1111/j.1468-0343.2005.00146.x

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Martínez, M., Avila, C., Sanabria, S., y Oliveira, N.Localización y especialización productiva: el caso de las trece ciudades principales en Colombia. En Revista Brasileira de Gestão e Desenvolvimento Regional. G&DR. V. 15, N. 6, Edição

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Recomended Bibliography

Avila, C. y Oliveira, N. Curso básico de econometría clásica. Págs. 180, Sello Editorial UNAD. Colombia, 2019. https://doi.org/10.22490/9789586517171

Cramer, J. S., Empirical Econometrics, North-Holland, Amsterdam, 1969.

Chiang, Alpha C., Métodos fundamentales de economía matemática, 4ta. Ed. McGraw-Hill, Nueva York, 2006.

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Wooldridge, Jeffrey M., Introductory Econometrics, 3a. ed., South- Western College Publishing, 2000.

Cristian Orlando Ávila Quiñones, Universidad Nacional Abierta y a Distancia

Economist and Finance Specialist from the Pedagogical and Technological University of Colombia. Master in Economic Sciences from the National University of Colombia. PhD Candidate in Regional Development at the Federal University of Tocantins (Brazil). Professor at ECACEN at the National Open and Distance University (UNAD). Researcher and Consultant.

Nilton Marques de Oliveira, Instituto Federal do Tocantins

Economist from the State University of Maringá (UEM), Master in Applied Economics from the Federal University of Viçosa (UFV), and PhD in Regional Development and Agribusiness from the State University of Western Paraná (UNIOESTE). Professor at the Federal University of Tocantins (Brazil). Researcher and Consultant.

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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ISBN-13 (15)

9786287786219

Fecha de publicación (01):

2025-11-06

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How to Cite

Ávila Quiñones, C. O., & Marques de Oliveira, N. (2025). Basic Course of Classical Econometrics. Sello Editorial UNAD. https://doi.org/10.22490/UNAD.9786287786219

Basic Course of Classical Econometrics

Synopsis

Keywords: classical econometrics, linear regression, ordinary least squares, time series analysis, matrix algebra, econometric models, statistical inference, economic data analysis

Chapters

ISBN-13 (15)

Fecha de publicación (01):

How to Cite

Series Administrative, Accounting, Economic and Business

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