Product Involvement in the Link Between Skepticism Toward Advertising and Its Effects

2011 ◽  
Vol 39 (2) ◽  
pp. 153-159 ◽  
Author(s):  
Fang-Ping Chen ◽  
Jun-Der Leu

Each year businesses spend millions of dollars on advertising to engender a positive attitude among consumers about a specific brand, eliminate any mistrust and suspicion about advertising, and rectify wrong attributions about products. In this research we focused on how doubt about advertisements impacts on their effectiveness, in regard to brand attitude and purchasing intention. We adopted the seemingly unrelated regression model to estimate the parameter, and the mutual relationships among several regression equations are taken into consideration. There were 337 participants in this experiment, and as indicated by the result, doubt about advertisements had a negative effect on brand attitude and purchasing intention. This negative effect will disrupt product involvement.

1996 ◽  
Vol 12 (3) ◽  
pp. 569-580 ◽  
Author(s):  
Paul Rilstone ◽  
Michael Veall

The usual standard errors for the regression coefficients in a seemingly unrelated regression model have a substantial downward bias. Bootstrapping the standard errors does not seem to improve inferences. In this paper, Monte Carlo evidence is reported which indicates that bootstrapping can result in substantially better inferences when applied to t-ratios rather than to standard errors.


2018 ◽  
Vol 34 (3) ◽  
pp. 1135-1157
Author(s):  
Chamberlain Mbah ◽  
Kris Peremans ◽  
Stefan Van Aelst ◽  
Dries F. Benoit

2001 ◽  
Vol 19 (2) ◽  
pp. 123-141
Author(s):  
Marvin E. Dodson

Abstract This article provides a theoretical analysis of host country immigrant demand using the Leviathan model of government. The analysis considers both unskilled and skilled immigrants. A seemingly unrelated regression model tests the implications of the resulting demand functions. The approach in this model incorporates labor market indicators unlike the limited previous work in this area. Possible non-pecuniary benefits of immigration and numerical limitations on immigrant admissions are also included as factors in the model. Results of the specification suggest that labor market conditions and non-pecuniary benefits do impact the demand for immigrants. Furthermore, the results show that a total limit on immigration will increase the skill level of the host country.


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