TY - JOUR
T1 - Intervention analysis using control series and exogenous variables in a transfer function model
T2 - A case study
AU - Krishnamurthi, Lakshman
AU - Narayan, Jack
AU - Raj, S. P.
PY - 1989
Y1 - 1989
N2 - This paper presents a case study to show how a control group can be used to obtain more accurate estimates of the impact of interventions. Intervention analysis using the ARIMA time series method is applied in an experimental design context using multiple input transfer function analysis. The study combines the analytic rigor of time series analysis with the careful controls provided by an experiment involving a test and control series. The data are from a field experiment with test and control panels connected to a split-cable TV system.
AB - This paper presents a case study to show how a control group can be used to obtain more accurate estimates of the impact of interventions. Intervention analysis using the ARIMA time series method is applied in an experimental design context using multiple input transfer function analysis. The study combines the analytic rigor of time series analysis with the careful controls provided by an experiment involving a test and control series. The data are from a field experiment with test and control panels connected to a split-cable TV system.
KW - Control groups
KW - Experimental design
KW - Intervention analysis
KW - Multiple transfer function models
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U2 - 10.1016/0169-2070(89)90060-5
DO - 10.1016/0169-2070(89)90060-5
M3 - Article
AN - SCOPUS:38249024843
SN - 0169-2070
VL - 5
SP - 21
EP - 27
JO - International Journal of Forecasting
JF - International Journal of Forecasting
IS - 1
ER -