Arbeitspapier
A smoothing test under first-order autoregressive processes and a first-order moving-average correction
This paper focuses on two applications of time series methods. The first proposes a simple transformation of the unit root form of stationary testing to infer about the validity of smoothing by second-order running averages of a series, or of the variables in a linear model (here opposing co-integration testing). The second one advances a simple iterative algorithm to correct for MA(1) autocorrelation of the residuals of the general linear model, not requiring the estimation of the error process parameter.
- Language
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Englisch
- Bibliographic citation
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Series: EERI Research Paper Series ; No. 12/2016
- Classification
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Wirtschaft
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Hypothesis Testing: General
Estimation: General
- Subject
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Smoothing Tests under First Order Autoregressive Processes
Running Averages
Negative Unit Roots
Moving Average Autocorrelation Correction in Linear Models
- Event
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Geistige Schöpfung
- (who)
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Martins, Ana Paula
- Event
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Veröffentlichung
- (who)
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Economics and Econometrics Research Institute (EERI)
- (where)
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Brussels
- (when)
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2016
- Handle
- Last update
- 10.03.2025, 10:44 AM UTC
Data provider
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Object type
- Arbeitspapier
Associated
- Martins, Ana Paula
- Economics and Econometrics Research Institute (EERI)
Time of origin
- 2016