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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.

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Bibliographic Info

Article provided by StataCorp LP in its journal Stata Journal.

Volume (Year): 5 (2005)
Issue (Month): 1 (March)
Pages: 46-63

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Handle: RePEc:tsj:stataj:v:5:y:2005:i:1:p:46-63

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

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References

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  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. Kwiatkowski, D. & Phillips, P.C.B. & Schmidt, P., 1990. "Testing the Null Hypothesis of Stationarity Against the Alternative of Unit Root : How Sure are we that Economic Time Series have a Unit Root?," Papers 8905, Michigan State - Econometrics and Economic Theory.
  3. Christopher F. Baum, 2003. "A review of Stata 8.1 and its time series capabilities," Boston College Working Papers in Economics 581, Boston College Department of Economics.
  4. Christopher F. Baum & John T. Barkoulas & Mustafa Caglayan, 1998. "Long memory or structural breaks: Can either explain nonstationary real exchange rates under the current float?," Boston College Working Papers in Economics 380, Boston College Department of Economics.
  5. Vogelsang, T.I. & Perron, P., 1991. "Nonstationary and Level Shifts With An Application To Purchasing Power Parity," Papers 359, Princeton, Department of Economics - Econometric Research Program.
  6. 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.
  7. Graham Elliott & Thomas J. Rothenberg & James H. Stock, 1992. "Efficient Tests for an Autoregressive Unit Root," NBER Technical Working Papers 0130, National Bureau of Economic Research, Inc.
  8. Christopher F. Baum, 2001. "Tests for stationarity of a time series," Stata Technical Bulletin, StataCorp LP, vol. 10(57).
  9. 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.
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Cited by:
  1. 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.
  2. Edwards, Jeffrey A. & Kasibhatla, Krishna, 2009. "Dynamic heterogeneity in cross-country growth relationships," Economic Modelling, Elsevier, vol. 26(2), pages 445-455, March.
  3. 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.
  4. 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).
  5. 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.
  6. George S. Naufal & Ismail H. Genc, . "Structural Change in MENA Remittance Flows," Economics Working Papers 07-05/2013, School of Business Administration, American University of Sharjah.
  7. 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).

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