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Stata: The language of choice for time-series analysis?

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  • Christopher F Baum

    () (Boston College)

Abstract

This paper discusses the use of Stata for the analysis of time series and panel data. The evolution of time-series capabilities in Stata is reviewed. Facilities for data management, graphics, and econometric analysis from both official Stata and the user community are discussed. A new routine to provide moving-window regression estimates—rollreg—is described, and its use illustrated. Copyright 2005 by StataCorp LP.

Suggested Citation

  • Christopher F Baum, 2005. "Stata: The language of choice for time-series analysis?," Stata Journal, StataCorp LP, vol. 5(1), pages 46-63, March.
  • Handle: RePEc:tsj:stataj:v:5:y:2005:i:1:p:46-63
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    References listed on IDEAS

    as
    1. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2003. "Instrumental variables and GMM: Estimation and testing," Stata Journal, StataCorp LP, vol. 3(1), pages 1-31, March.
    2. Clemente, Jesus & Montanes, Antonio & Reyes, Marcelo, 1998. "Testing for a unit root in variables with a double change in the mean," Economics Letters, Elsevier, vol. 59(2), pages 175-182, May.
    3. Elliott, Graham, 1999. "Efficient Tests for a Unit Root When the Initial Observation Is Drawn from Its Unconditional Distribution," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(3), pages 767-783, August.
    4. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    5. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    6. Christopher F. Baum, 2001. "Tests for stationarity of a time series," Stata Technical Bulletin, StataCorp LP, vol. 10(57).
    7. Perron, Pierre & Rodriguez, Gabriel, 2003. "GLS detrending, efficient unit root tests and structural change," Journal of Econometrics, Elsevier, vol. 115(1), pages 1-27, July.
    8. Baum, Christopher F., 2004. "A review of Stata 8.1 and its time series capabilities," International Journal of Forecasting, Elsevier, vol. 20(1), pages 151-161.
    9. Baum, Christopher F. & Barkoulas, John T. & Caglayan, Mustafa, 1999. "Long memory or structural breaks: can either explain nonstationary real exchange rates under the current float?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 9(4), pages 359-376, November.
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    11. Perron, Pierre & Vogelsang, Timothy J, 1992. "Nonstationarity and Level Shifts with an Application to Purchasing Power Parity," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(3), pages 301-320, July.
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    Cited by:

    1. Mete FERIDUN, 2008. "Currency Crises In Emerging Markets: The Case Of Post-Liberalization Turkey," The Developing Economies, Institute of Developing Economies, vol. 46(4), pages 386-427.
    2. Azimi, Mohammad Naim, 2015. "Is CPI generated from stationary process? An investigation on unit root hypothesis of India’s CPI," MPRA Paper 69518, University Library of Munich, Germany, revised 03 Jan 2016.
    3. Jaleta, Moti & Gebremedhin, Berhanu, 2009. "Price Cointegration Analyses of Food Crop Markets: The case of Wheat and Teff Commodities in Northern Ethiopia," 2009 Conference, August 16-22, 2009, Beijing, China 51049, International Association of Agricultural Economists.
    4. Baskaran, Thushyanthan, 2013. "Coalition governments, cabinet size, and the common pool problem: Evidence from the German states," European Journal of Political Economy, Elsevier, vol. 32(C), pages 356-376.
    5. Mete Feridun, 2012. "Liability dollarization, exchange market pressure and fear of floating: empirical evidence for Turkey," Applied Economics, Taylor & Francis Journals, vol. 44(8), pages 1041-1056, March.
    6. Nin Pratt, Alejandro & Yu, Bingxin, 2008. "An updated look at the recovery of agricultural productivity in Sub-Saharan Africa:," IFPRI discussion papers 787, International Food Policy Research Institute (IFPRI).
    7. Cleomar Gomes da Silva & Flávio Vilela Vieira, 2014. "BRICS countries: real interest rates and long memory," Economics Bulletin, AccessEcon, vol. 34(1), pages 409-419.
    8. George S. Naufal & Ismail H. Genc, "undated". "Structural Change in MENA Remittance Flows," Economics Working Papers 07-05/2013, School of Business Administration, American University of Sharjah.
    9. Chiu, Fan-Ping & Hsu, Chia-Sheng & Ho, Alan & Chen, Chi-Chung, 2016. "Modeling the price relationships between crude oil, energy crops and biofuels," Energy, Elsevier, vol. 109(C), pages 845-857.
    10. Antonio Ruiz Porras & Fidel Gustavo Cruz Ruiz, 2016. "Las hipótesis de Fisher en Latinoamérica: un análisis de cointegración," REVISTA FINANZAS Y POLÍTICA ECONÓMICA, UNIVERSIDAD CATOLICA DE COLOMBIA, vol. 8(2), pages 301-326, September.
    11. Alderighi, Marco & Gaggero, Alberto A., 2017. "Fly and trade: Evidence from the Italian manufacturing industry," Economics of Transportation, Elsevier, vol. 9(C), pages 51-60.
    12. Justus Haucap, Ulrich Heimeshoff, and Dragan Jovanovic, 2014. "Competition in Germany's Minute Reserve Power Market: An Econometric Analysis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    13. Manes, Eran & Schneider, Friedrich & Tchetchik, Anat, 2016. "On the Boundaries of the Shadow Economy: An Empirical Investigation," IZA Discussion Papers 10067, Institute for the Study of Labor (IZA).
    14. Jha, Jaya & Roe, Terry L., 2016. "U.S. Agricultural Export Competitiveness and Export Market Diversification," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 236250, Agricultural and Applied Economics Association.
    15. Mohammad Naim Azimi, 2016. "Assessing the Exchange Rate Volatility as an External Shock to Chinese Economy," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(5), pages 277-285, May.
    16. Edwards, Jeffrey A. & Kasibhatla, Krishna, 2009. "Dynamic heterogeneity in cross-country growth relationships," Economic Modelling, Elsevier, vol. 26(2), pages 445-455, March.

    More about this item

    Keywords

    time-series analysis; time-series data; time-series modeling; moving-window regression; rolling regression;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software

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