The Impact of Generic Advertising on U.S. Household Cheese Purchases: A Censored Autocorrelated Regression Approach

Author(s):  
Todd M. Schmit ◽  
Brian W. Gould ◽  
Diansheng Dong ◽  
Harry M. Kaiser ◽  
Chanjin Chung
Author(s):  
Irene Simonetti ◽  
Lorenzo Cappietti

Abstract The importance of properly modelling the effects of air compressibility in the selection of the optimal design parameters for an Oscillating Water Column wave energy converter is investigated. For this purpose, a wide dataset of capture width ratios, obtained from both experimental tests and Computational Fluid Dynamic simulations, is used to formulate an empirical model able to predict the performance of the device as a function of its basic design parameters (chamber width and draught, turbine damping) and of the wave conditions (wave period, wave height). A multiple non-linear regression approach is used to determine the model numerical coefficients. The data used to formulate the model include the effects of air compressibility. The impact of considering such effects on the selection of the optimal geometry of the device is evaluated and discussed by means of the model application for the optimization of a device to be installed in a site located in the Mediterranean Sea (in front of the coast of Tuscany, Italy).


2020 ◽  
Vol 1 (1) ◽  
pp. 63-74
Author(s):  
Jarita Duasa ◽  
Nur Hidayah Zainal

Purpose The purpose of this study is to adopt quantile regression to investigate the impact of several factors on per capita income of participants of micro-financing scheme (Amanah Ikhtiar Malaysia [AIM]), who are mostly women at different point on the income distributions. Design/methodology/approach This study uses data collected from a survey on respondents who are the participants of AIM program using convenience sampling in Perak and Kelantan. Findings The empirical results show that the value of asset, value of loan, household size, ratio of spending to income and dummy state are consistently giving similar impacts on per capita income of participants at different quantiles. Originality/value However, age negatively and significantly affects per capita income only at middle and lower quantiles but not at higher quantile of per capita income.


2020 ◽  
Vol 11 (2) ◽  
pp. 301
Author(s):  
A. E. Adegboyegun ◽  
E. Ben-Caleb ◽  
A. O. Ademola ◽  
J. U. Madugba ◽  
D. F. Eluyela

This study examined the impact of fair value accounting on corporate reporting in Nigeria. The primary data used were gathered through a well-structured questionnaire, designed and administered to 120 respondents, who are made up of accountants, auditors, bankers, financial experts and practitioners in Lagos State, Nigeria. We adopted the logistic regression approach in analyzing the research questions. We found that fair value accounting has impact on corporate reporting. The Cox and Snell’s R-Square revealed that 67.1% of the variation in the corporate reporting was explained by the logistic model. We further found a moderate strong relationship between the fair value accounting and corporate reporting. Based on this finding, the study concluded that the used of fair value helped in predicting the earnings and assessment of the amounts, timing and uncertainty of future cash flows in corporate reporting which dependent on its reliability. However, institutional factors played an essential role in enhancing the reliability of discretionary fair value estimates which in return increased the informativeness of accounting information in corporate reporting.


2015 ◽  
Vol 2 (2) ◽  
Author(s):  
K. V. Bhanumurthy ◽  
Manoj Kumar Sinha

Outward FDI is considered as a developed countries phenomenon. However FDI outflows from developing countries particularly Asian countries such as China and India have been growing over the past few decades. The paper focuses on outward FDI from developing countries in terms of outflows and outward stock. The paper studies the impact of socio-economic variables such as infrastructure, human capital, labour, market, trade openness, resources etc. on FDI outflows from developing countries. With the help of Principal Component Analysis, we construct a set of six composite indices, namely, human resource, infrastructure, labour, market, trade openness and resource, as determinants of OFDI. We use a Panel Regression approach both in terms of OFDI stock and flow, for the period 1990-2009. Outward FDI flows from developing countries do not show a significant pattern. FDI outward stock from developing countries represents stable patterns. It shows that steadily this is growing at 4.4 percent per annum, although the initial level is low. Top ten countries show a significant growth rate of 8 percent per annum, in the case of outward stock. Infrastructure is the only single variable whose elasticity is slightly over one in the case of top ten countries and is highly significant. Therefore, the FDI outflow is going from those countries amongst developing countries that have a significant infrastructure base.


2021 ◽  
Vol 13 (18) ◽  
pp. 10457
Author(s):  
Sorin Gabriel Anton ◽  
Mihaela Onofrei ◽  
Emilia Gogu ◽  
Bogdan Constantin Neculau ◽  
Florin Mihai

The paper aims to examine the relationship between leverage and firm growth and the impact of fiscal policy on this relationship using a panel data quantile regression approach. Employing a sample of gazelles from emerging Europe for the 2006–2014 period, we find that debt overhang negatively affects firm growth only for the lower growth quantiles. In addition, we found that the negative effect is higher for the gazelles located in countries with lower corporate income effective tax rates. However, for the higher growth quantiles, the impact of debt on firm growth is positive and statistically significant. Our results reconcile the mixed results of the previous studies and have practical implications for financing strategies in emerging markets.


Author(s):  
Min Lu ◽  
Steven Thompson ◽  
Yanbin Tu

<p class="MsoBodyText3" style="line-height: normal; margin: 0in 0.5in 0pt; mso-layout-grid-align: none;"><span style="font-style: normal; font-size: 10pt; mso-bidi-font-style: italic;"><span style="font-family: Times New Roman;">Frequent upgrading and aggressive price-cutting have become standard practice in the computer sector. While necessitated in part by declining production costs and a highly competitive market, these strategies have also served to make computers more affordable, growing the size of the overall market. Recently downturns in the sales of computers motivate us to examine the impact of these strategies on overall sales growth. We find evidence to suggest that excessive upgrading and overly aggressive price-cutting can be detrimental to overall sales growth. We also find that the computer sector exhibits characteristics that suggest that generic advertising would be an effective mechanism to enhance overall sales growth.</span></span></p>


2021 ◽  
Author(s):  
Alex Adegboye ◽  
Ochei Ikpefan ◽  
Adebusola Oyegoke ◽  
Stephen OJEKA ◽  
Ibukunoluwa Adeyanju

Abstract This study explores the impact of diverse economic restrictions on currency performance. We assess a panel dataset of 30 African countries for the period 1990–2010. Our empirical evidence is based on the fixed effect regression and the Quantile regression approach. We find that the United States, European Union, economic and intensity sanctions weaken the real exchange rates. However, we establish that the U.N. sanctions are insignificant. As for the policy implication, sanctioned countries should implement a policy that could mitigate the adverse consequences of economic restrictions on currency performance.


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