Spending Behavior of Thai Tourists in Dan Sai District, Loei province, Thailand: Seemingly Unrelated Regression Estimation Analysis

2019 ◽  
Vol 9 (5) ◽  
pp. 1062
Author(s):  
Sakkarin NONTHAPOT ◽  
Thanet WATTANAKUL ◽  
Kitiya WANGKEEREE
Keyword(s):  
Marketing Strategies ◽  
Seemingly Unrelated Regression ◽  
Demand System ◽  
Price Strategy ◽  
Regression Estimation ◽  
Travel Costs ◽  
Unrelated Regression ◽  
Food And Beverage ◽  
Spending Behavior ◽  
The Cost

The purpose of this study is to investigate the spending behavior of Thai tourists in Dan Sai District, Loei province, Thailand by applying the Almost Ideal Demand System (AIDS) model. The analysis was conducted by employing Seemingly Unrelated Regression Estimation (SURE). A questionnaire was used to collect data and 400 samples were collected. The results revealed that the price factor influences the cost of accommodation on other expenses, food and beverage expenses on other expenses and travel expenses on other expenses while the revenue factor influences travel costs on other expenses and the cost of souvenirs on other expenses. The results of the study show that there should be measures to stimulate tourist spending using price strategy to encourage tourists to spend more, and marketing strategies should be used to encourage high-income tourists to spend in Dan Sai District.

scholarly journals MANAGING BRANDS’ POPULARITY ON FACEBOOK: POST TIME, CONTENT, AND BRAND COMMUNICATION STRATEGIES

2019 ◽  
Vol 34 (2) ◽  
pp. 185 ◽  
Author(s):  
Tri Hanifawati ◽  
Utan Sahiro Ritonga ◽  
Euis Evi Puspitasari
Keyword(s):  
Social Media ◽  
Significant Influence ◽  
Research Method ◽  
Communication Strategies ◽  
Seemingly Unrelated Regression ◽  
Review Of The Literature ◽  
Purchasing Intention ◽  
Unrelated Regression ◽  
Food And Beverage ◽  
Time Information

Introduction: A brand’s popularity on social media affects its customers’ purchasing intention and purchasing decision. Background Problem: A review of the literature shows that a brand’s popularity on social media has a secure connection with its content and the time information about it is posted; allegedly the brand’s interactions are also influential. Indicators of its popularity include the number of likes, shares, comments, and views for it. Novelty: Previous brand popularity studies were limited to the features of likes, comments, and shares as a function of the content and time, and OLS was commonly used. However, this study adds the views feature and the function of the administrator’s comments to complete the gap. GLS is used as the method of analysis. Research Method: Data are collected through the observation of six top international food and beverage products’ categories on the Facebook fan page. The data were analyzed using the Seemingly Unrelated Regression (SUR), and the Mann-Whitney and Kruskal-Wallis methods. Findings: The study’s findings shows that video and the day to post have a significant influence and increase the number of likes, shares, comments, and views. A caption only shows significance to increase the number of likes and shares. The hour has a significant effect on comments and shares. The time of posting indicates that posting on weekdays and during busy periods is more effective for increasing the popularity of brands. The administrator’s comments significantly influence the increase in the number of comments and views, while two-way communication is more significant for increasing a brand’s popularity. Conclusion: These findings provide a deeper insight to help managers to improve their brand’s popularity on social media by exploring how brands manage their fan pages.

An Evaluation of the Use of Ordinary Least Squares for Estimating Tourism Demand Models

1997 ◽  
Vol 35 (4) ◽  
pp. 69-73 ◽  
Author(s):  
Clive L. Morley
Keyword(s):  
Least Squares ◽  
Ordinary Least Squares ◽  
Seemingly Unrelated Regression ◽  
Percentage Error ◽  
Regression Estimation ◽  
Tourism Demand ◽  
Constant Variance ◽  
Unrelated Regression ◽  
Demand Models ◽  
The Common

Estimating tourism demand models involves a set of related equations with errors that may not satisfy the common assumptions of being independent, with constant variance and normal distribution. In such circumstances, seemingly unrelated regression estimation may be considered a better estimation technique than ordinary least squares. Results from a simulation exercise, however, show that generally there is little difference between ordinary least squares and seemingly unrelated regression. The ordinary least squares technique performs well, and the results give little reason to use more complex estimation techniques. Another feature of tourism data is that strong growth in tourist numbers is often observed. This feature implies that models in which such series are the dependent variable are not consistently estimated by least squares methods. A percentage error loss function is proposed as a more appropriate criterion for estimating tourist data of this type.

scholarly journals PERMINTAAN BUAH-BUAHAN RUMAHTANGGA DI PROPINSI LAMPUNG

2016 ◽  
Vol 4 (2) ◽  
pp. 137
Author(s):  
Rini Desfaryani ◽  
Sri Hartoyo ◽  
Lukytawati Anggraeni
Keyword(s):  
Income Elasticity ◽  
Regression Method ◽  
Seemingly Unrelated Regression ◽  
System Model ◽  
Demand System ◽  
Positive Sign ◽  
Unrelated Regression ◽  
Cross Price Elasticity ◽  
Household Members ◽  
Demand Changes

<em>One of commodity which is important to be fulfilled is fruit. From producer side, it has been available much in Lampung Province but has not been utilized optimally by consumer. This study purposed to analyze the factors influencing fruit demand and the response of demand changes due to shifting of price and income. The analysis was conducted by using AIDS (Almost Ideal Demand System) model and the parameter was estimated by using SUR (Seemingly Unrelated Regression) method. The results stated that the fruit demand was influenced by the fruit price (either own-price or cross-price), expenditure, and the number of household members. The elasticity shows that the own-price for all kinds of fruit is inelastic. The cross-price elasticity indicates that there are some fruits that have substitution or complementary relationship among them and in all types of fruits, income elasticity has positive sign.</em>

scholarly journals ANALISIS KETERKAITAN A NTAR KOMODITAS PROTEIN DENGAN MENGGUNAKAN MODEL ALMOST IDEAL DEMAND SYSTEM (AIDS)

2013 ◽  
Vol 2 (3) ◽  
pp. 162
Author(s):  
Cesa Febri Desti ◽  
Dodi Devianto ◽  
Izzati Rahmi HG
Keyword(s):  
Least Square ◽  
Seemingly Unrelated Regression ◽  
Demand System ◽  
Almost Ideal Demand System ◽  
Unrelated Regression

Penelitian ini bertujuan untuk melihat keterkaitan antar harga komoditas protein dengan menggunakan model Almost Ideal Demand System (AIDS).Objek penelitian adalah mahasiswa matematika Pasca Sarjana Universitas Andalas Padang yangmengkonsumsi komoditi sumber protein hewani meliputi : daging, ayam dan telur. Pendugaan parameter menggunakan metode Generalized Least Square (GLS) melalui persamaan Seemingly Unrelated Regression (SUR). Hasil penelitian menunjukkan proporsikonsumsi pangan yang dominan adalah komoditas ayam sebesar 0.409. Nilai elastisitas harga permintaan untuk ketiga komoditi memiliki tanda negatif, ini berarti bahwaketiga komoditi merupakan kebutuhan pokok. Elastisitas pendapatan bertanda positif,mengindikasikan bahwa ketiga komoditi adalah barang normal. Pada umumnya elastistasharga silang bertanda positif, mengindikasikan bahwa antar komoditi pangan memilikihubungan saling menggantikan.

scholarly journals An Analysis Of The Return Dependence Between Large And Small Capitalization Stocks

2011 ◽  
Vol 2 (6) ◽  
Author(s):  
Rakesh Bali ◽  
Hany Guirguis
Keyword(s):  
Monetary Policy ◽  
Small Firm ◽  
Model Misspecification ◽  
Seemingly Unrelated Regression ◽  
January Effect ◽  
Regression Estimation ◽  
Unrelated Regression ◽  
Pattern Correlation ◽  
Initial Results ◽  
Macroeconomic Environment

In a Seemingly Unrelated Regression Estimation (SURE) framework, we examine the Granger-causal linkages between the monthly returns of small and large market capitalization stocks. Our initial results confirm that the returns of large stocks lead those of smaller stocks as reported by Lo and MacKinlay (1988). However, such causality disappears once we account for the small-firm January effect, the feedback of monetary policy, and the expectation of a recession. Thus, we attribute the lead-lag pattern correlation to model misspecification that fails to incorporate the macroeconomic environment and its seasonality.

scholarly journals Data on gender representation in food and beverage print advertisements found in corner stores from Guatemala and Peru

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Lucila Rozas ◽  
Peter Busse ◽  
Joaquin Barnoya ◽  
Alejandra Garrón
Keyword(s):  
Food Industry ◽  
General Information ◽  
Marketing Strategies ◽  
Gender Representation ◽  
Print Advertising ◽  
Public Officials ◽  
Print Advertisements ◽  
Corner Stores ◽  
Food And Beverage ◽  
And Gender

Abstract Objectives Data on gender representation in food and beverage advertisements may allow for a better understanding of how the food industry is targeting different audiences based on gender. Nonetheless, scant research on food and beverage print advertising with a gender approach has been conducted. Therefore, we sought to assess the prevalence of gender focus in print advertisements found inside corner stores in two cities: Guatemala City, Guatemala, and Lima, Peru. Data description We developed two complementary datasets as part of the study: (1) a dataset of digital photographs of 200 food and beverage print advertisements found in corner stores located near schools (100 ads per country selected according to criteria such as product type, image quality, and uniqueness); (2) a quantitative dataset with data of the content analysis of these photographs. We employed 19 variables to record the general information and gender assessment of the ads. These datasets should allow scholars and public officials to identify gender-specific marketing strategies of the food industry that might impact children’s and adolescents’ nutrition differently.

A Note on the Efficiency of Seemingly Unrelated Regression

1988 ◽  
Vol 42 (2) ◽  
pp. 137-139 ◽  
Author(s):  
James K. Binkley ◽  
Carl H. Nelson
Keyword(s):  
Seemingly Unrelated Regression ◽  
Unrelated Regression
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