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Fundamentos de econometría intermedia: Teoría y aplicaciones
[Intermediate economics: Theory and applications]

Author

Listed:
  • Ramon Antonio, Rosales Alvarez
  • Jorge Andres, Perdomo Calvo
  • Carlos Andres, Morales Torrado
  • Jaime Alejandro, Urrego Mondragon
Abstract
Econometrics is the area of statistics concerned in analyzing economic data, for both economic and business applications. This document, introduces the intermediate concepts of this area, for students already familiarized with basic econometric theory. In particular, topics concerning endogenity, simultaneous equation models, time series and panel data, are discussed. One special contribution of these class notes is that both theory and applications, using Stata® statistical software package, are developed.

Suggested Citation

  • Ramon Antonio, Rosales Alvarez & Jorge Andres, Perdomo Calvo & Carlos Andres, Morales Torrado & Jaime Alejandro, Urrego Mondragon, 2009. "Fundamentos de econometría intermedia: Teoría y aplicaciones [Intermediate economics: Theory and applications]," MPRA Paper 37183, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:37183
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    File URL: https://mpra.ub.uni-muenchen.de/37183/1/MPRA_paper_37183.pdf
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    References listed on IDEAS

    as
    1. Hausman, Jerry A & Taylor, William E, 1981. "Panel Data and Unobservable Individual Effects," Econometrica, Econometric Society, vol. 49(6), pages 1377-1398, November.
    2. T. S. Breusch & A. R. Pagan, 1980. "The Lagrange Multiplier Test and its Applications to Model Specification in Econometrics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 239-253.
    3. Julius Shiskin, 1978. "Seasonal Adjustment of Sensitive Indicators," NBER Chapters, in: Seasonal Analysis of Economic Time Series, pages 97-104, National Bureau of Economic Research, Inc.
    4. Bernal Raquel, 2009. "The Informal Labor Market in Colombia: identification and characterization," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, September.
    5. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    6. Gourieroux,Christian, 2000. "Econometrics of Qualitative Dependent Variables," Cambridge Books, Cambridge University Press, number 9780521589857.
    7. Julio César Alonso & Maria Emma Cantera & Beatriz Orozco, 2006. "Sector Público Y Déficit Fiscal," Apuntes de Economía 3485, Universidad Icesi.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Jorge Andres, Perdomo Calvo & Jorge Andres, Perdomo Calvo, 2010. "Una propuesta metodológica para estimar los cambios sobre el valor de la propiedad: estudio de caso para Bogotá aplicando Propensity Score Matching y Precios Hedónicos Espaciales [A Propensity Scor," MPRA Paper 37178, University Library of Munich, Germany.

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    More about this item

    Keywords

    Econometrics; Cross-Sectional Models; Simultaneous Equation Models; Discrete Regression and Qualitative Choice Models; Time Series Models; Models with Panel Data; Undergraduate Economics Education; Handbooks;
    All these keywords.

    JEL classification:

    • A23 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Graduate
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics

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