THE RELATIONSHIP BETWEEN SAVING AND GROWTH IN SOUTH AFRICA: A TIME SERIES ANALYSIS

2005 ◽  
Vol 73 (2) ◽  
pp. 171-189 ◽  
Author(s):  
AYLIT TINA ROMM
Keyword(s):  
South Africa ◽  
Time Series ◽  
Time Series Analysis ◽  
Series Analysis ◽  
The Relationship

scholarly journals Market Response, Competitive Behavior, and Time Series Analysis

1980 ◽  
Vol 17 (4) ◽  
pp. 470-485 ◽  
Author(s):  
Dominique M. Hanssens
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Model Building ◽  
Competitive Reaction ◽  
Marketing Model ◽  
Series Analysis ◽  
Marketing Variables ◽  
Major Airlines ◽  
Market Variables ◽  
The Relationship

The author's principal objective is to present a framework for market analysis which specifically models primary demand, competitive reaction, and feedback effects of the market variables. The approach is an extension of earlier work by Clarke and by Lambin, Naert, and Bultez on the relationship among the elasticities of the marketing variables. The author develops this framework and formulates an approach for empirical applications based on principles of time series analysis. In particular, Granger's well-known causality definition is used in conjunction with Box-Jenkins analysis to find the nonzero elements in the marketing model. These principles are applied empirically to the case of a city pair of the U.S. domestic air travel market, where three major airlines compete on the basis of flight scheduling and advertising. The analysis reveals that flight scheduling has a market-expansive or a competitive effect, depending on the competitor, and that advertising does not have a significant impact on performance. In addition, several patterns of competitive reactions are found. The author offers observations on the theoretical and empirical aspects of this approach to marketing model building.

Television and protest in East Germany’s revolution, 1989–1990: A mixed-methods analysis

2014 ◽  
Vol 47 (1) ◽  
pp. 93-103 ◽  
Author(s):  
Marko Grdešić
Keyword(s):  
Time Series ◽  
Mixed Methods ◽  
Time Series Analysis ◽  
Qualitative Analysis ◽  
Event Data ◽  
Mixed Methods Approach ◽  
Series Analysis ◽  
East German ◽  
Television Coverage ◽  
The Relationship

This article uses a mixed-methods approach to analyze the relationship between television and protest during East Germany’s revolution. The content of television newscasts, both West German and East German, is analyzed together with protest event data. There are two key findings. First, West German coverage of protests is associated with an increase in protest in the first phase of the revolution. This finding emerges from time series analysis. Second, West German and East German television coverage were interacting, with the latter reacting to the former. This finding emerges from both quantitative and qualitative analysis.

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