Hill, R. C., Griffiths, W. E., & Lim, G. C. (2018). Principles of econometrics. John Wiley & Sons.(link)
Wooldridge, J. M. (2012). Introductory Econometrics: a modern approach. 5th. CENGAGE Learning, Canada. (link)
Gujarati, D. N., & Porter, D. C. (2009). Basic econometrics. McGraw-hill. (link)
Angrist, J. D., & Pischke, J. S. (2009). Mostly harmless econometrics: An empiricist's companion. Princeton university press. (link) - Link tài liệu liên quan (link)
Greene, W. H., (2003). Econometric Analysis. W. Greene. Fifth edition. Pearson Education. (link)
Verbeek, M. (2008). A guide to modern econometrics. John Wiley & Sons. (link)
Amemiya, T. (1994). Introduction to statistics and econometrics. Harvard University Press.
Davidson, R., & MacKinnon, J. G. (2004). Econometric theory and methods (Vol. 5, pp. 189-196). New York: Oxford University Press.
Davidson, R., & MacKinnon, J. G. (1993). Estimation and inference in econometrics (Vol. 63). New York: Oxford.
Johnston, J., & DiNardo, J. (1963). Econometric methods.
Judge, G. G., Griffiths, W. E., Hill, R. C., Lütkepohl, H., & Lee, T. C. (1991). The theory and practice of econometrics (Vol. 49). John wiley & sons.
Mittelhammer, R., Judge, G. G., & Miller, D. J. (2000). Econometric foundations pack with CD-ROM. Cambridge University Press.
Hayashi, F. (2011). Econometrics. Princeton University Press.
Kennedy, P. (2008). A guide to econometrics. John Wiley & Sons.
Pindyck, R. S., & Rubinfeld, D. L. (1988). Econometric models and economic forecasts, McGrawHill Book Company, 1991.
Wooldridge, J. M. (2010). Econometric analysis of cross section and panel data. MIT press. (link)
Hsiao, C. (2003). Analysis of panel data (No. 64). Cambridge university press. (link)
Arellano, M. (2003). Panel data econometrics. Oxford Univ Press. (link)
Frees, E. W. (2004). Longitudinal and panel data: analysis and applications in the social sciences. Cambridge University Press. (link)
Baltagi, B. H., & Baltagi, B. H. (2008). Econometric analysis of panel data (Vol. 4). Chichester: Wiley. (link)
Pesaran, M. H. (2015). Time series and panel data econometrics. Oxford University Press.
Baltagi, B. H. (Ed.). (2015). The Oxford handbook of panel data. Oxford University Press.
Cameron, A. C., & Trivedi, P. K. (2010). Microeconometrics using stata (Vol. 2). College Station, TX: Stata press.
Brooks, C. (2019). Introductory econometrics for finance. 2th. Cambridge university press. (link)
Enders, W. (2008). Applied econometric time series. John Wiley & Sons. (link)
Hamilton, J. D. (1994). Time series analysis. Princeton university press. (link)
Tsay, R. S. (2005). Analysis of financial time series. John wiley & sons. (link)
Kirchgässner, G., Wolters, J., & Hassler, U. (2012). Introduction to modern time series analysis. Springer Science & Business Media. (link)
Lütkepohl, H. (2005). New introduction to multiple time series analysis. Springer Science & Business Media. (link)
Durbin, J., & Koopman, S. J. (2012). Time series analysis by state space methods (Vol. 38). OUP Oxford. (link)
Brillinger, D. R. (2001). Time series: data analysis and theory. Society for Industrial and Applied Mathematics.
Brockwell, P. J., & Davis, R. A. (1991). Time series: theory and methods. Springer science & business media.
Brockwell, Peter J. and Davis, Richard A. (2002). Introduction to Time Series and Forecasting, 2nd edition. Springer-Verlag, New York.
Canova, F. (2007). Methods for applied macroeconomic research (Vol. 13). Princeton university press.
Martin, V., Hurn, S., & Harris, D. (2013). Econometric modelling with time series: specification, estimation and testing. Cambridge University Press.
Chatfield, C. (2004). The Analysis of Time Series. Chapman & Hall/CRC, Boca Raton, FL
Chatfield, C. (2000). Time Series Forecasting. Chapman & Hall/CRC, Boca Raton, FL.
Box, G. E. P., Jenkins, G. M., & Reinsel, G. C. (1994). Time Series Analysis: Forecasting and Control. Prentice - Hall, Inc., Upper Saddle River, NJ.
Madsen, H. (2008). Time Series Analysis. Chapman & Hall/CRC, Boca Raton, FL.
Wei, W. W. S. (2006). Time Series Analysis: Univariate and Multivariate Methods (2ed.). Pearson, Boston, MA.
Hyndman, R. J., & Athanasopoulos, G. (2018). Forecasting: principles and practice. OTexts.
Granger, C. W. J. (2014). Forecasting in business and economics. Academic Press.
Mills, T. C., & Markellos, R. N. (2008). The econometric modelling of financial time series. Cambridge university press.
Maddala, G. S. and Kim, I. M. (1998). Unit Roots, Cointegration and Structural Change, Cambridge University Press, Cambridge.
Gourierousx, C. (1997): Arch Model and Financial Applications, Springer, New York.
Shumway, R.H., Stoffer, D.S. (2006). Time Series Analysis and Its Applications (with R examples). Springer-Verlag, New York
Phân tích chuỗi thời gian với machine learning và deep learnings
Nielsen, A. (2019). Practical time series analysis: Prediction with statistics and machine learning. O'Reilly Media.
Peters, T. (2019). Data-driven science and engineering: machine learning, dynamical systems, and control: by SL Brunton and JN Kutz, 2019, Cambridge, Cambridge University Press.
LeSage, J. (2009). Spatial econometrics. In Handbook of research methods and applications in economic geography (pp. 23-40). Edward Elgar Publishing. (link)
Anselin, L. (2005). Spatial regression analysis in R: a workbook. Urbana, 51, 61801. (link)
Griffith, D. A., & Paelinck, J. H. P. (2011). Non-standard spatial statistics and spatial econometrics. Springer Science & Business Media. (link)
Haining, R. P. (2003). Spatial data analysis: theory and practice. Cambridge university press. (link)
Schopohl, L., Wichmann, R., & Brooks, C. (2019). Stata Guide to Accompany Introductory Econometrics for Finance. (link)
Adkins, L. C. (2011). Using Stata for principles of econometrics. John Wiley & Sons. (link)
Cameron, A. C., & Trivedi, P. K. (2010). Microeconometrics using stata (Vol. 2). College Station, TX: Stata press. (link)
Stata Time-Series Reference Manual, Stata Press Publication. StataCorp LLC. College Station, Texas (link)
Baum, Christopher F. 2016. An Introduction to Stata Programming, Second Edition. Stata Press.
Shumway, R. H., Stoffer, D. S., & Stoffer, D. S. (2000). Time series analysis and its applications (Vol. 3). New York: springer. (link)
Racine, J. S. (2019). Reproducible econometrics using R. Oxford University Press, USA. (link)
Cryer, J. D., Chan, K. S., & Kung-Sik.. Chan. (2008). Time series analysis: with applications in R (Vol. 2). New York: Springer.
Galit Shmueli and Kenneth C. Lichtendahl Jr (2016). Practical Time Series Forecasting with R: A Hands-On Guide, 2nd Edition, Axelrod Schnall Publishers.
Tsay, R. S. (2013). Multivariate time series analysis: with R and financial applications. John Wiley & Sons.
A.S. Goldberger, A Course in Econometrics, Harvard Univ. Press, 1991.
G. Casella and R.L. Berger, Statistical Inference, 2nd ed., Duxbury, 2002.
R.V. Hogg, J. McKean and A.T. Craig, Introduction to Mathematical Statistics, 7th ed., Pearson, 2012.
R.C. Mittelhammer, Mathematical Statistics for Economics and Business, 2nd ed., Springer, 2013.
T.W. Epps, Probability and Statistical Theory for Applied Researchers, World Scientific, 2014.
Good help for foundations in linear algebra:
A.S. Anton, Elementary Linear Algebra, Harvard Univ. Press, 1991.
P. Dhrymes, Mathematics for Econometrics, Springer, 1984.
A.S. Anton, Elementary Linear Algebra, Harvard Univ. Press, 1991.
P. Dhrymes, Mathematics for Econometrics, Springer, 1984.