App Popularity: Where in the World are Consumers Most Sensitive to Price and User Ratings?

2018 ◽  
Vol 82 (5) ◽  
pp. 20-44 ◽  
Author(s):  
Raoul Kübler ◽  
Koen Pauwels ◽  
Gökhan Yildirim ◽  
Thomas Fandrich
Keyword(s):  
Uncertainty Avoidance ◽  
Cultural Economic ◽  
Dynamic Panel Model ◽  
Specific Effects ◽  
Panel Model ◽  
Volume Sensitivity ◽  
Higher Power ◽  
Structural Differences ◽  
Online Ratings ◽  
User Ratings

Many companies compete globally in a world in which user ratings and price are important drivers of performance but whose importance may differ by country. This study builds on the cultural, economic, and structural differences across countries to examine how app popularity reacts to price and ratings, controlling for product characteristics. Estimated across 60 countries, a dynamic panel model with product-specific effects reveals that price sensitivity is higher in countries with higher masculinity and uncertainty avoidance. Ratings valence sensitivity is higher in countries with higher individualism and uncertainty avoidance, while ratings volume sensitivity is higher in countries with higher power distance and uncertainty avoidance and those that are richer and have more income equality. For managers, the authors visualize country groups and calculate how much price should decrease to compensate for a negative review or lack of reviews. For researchers, they highlight the moderators of the volume and valence effects of online ratings, which are becoming ubiquitous in this connected world.

Do Spoilers Really Spoil? Using Topic Modeling to Measure the Effect of Spoiler Reviews on Box Office Revenue

2020 ◽  
pp. 002224292093770
Author(s):  
Jun Hyun (Joseph) Ryoo ◽  
Xin (Shane) Wang ◽  
Shijie Lu
Keyword(s):  
Fixed Effects ◽  
Topic Model ◽  
The United States ◽  
Dynamic Panel Model ◽  
Panel Model ◽  
Box Office ◽  
Online Word Of Mouth ◽  
Using Data ◽  
User Ratings ◽  
Moderate User

A sizable portion of online movie reviews contain spoilers, defined as information that prematurely resolves plot uncertainty. In this research, the authors study the consequences of spoiler reviews using data on box office revenue and online word of mouth for movies released in the United States. To capture the degree of information in spoiler review text that reduces plot uncertainty, the authors propose a spoiler intensity metric and measure it using a correlated topic model. Using a dynamic panel model with movie fixed effects and instrumental variables, the authors find a significant and positive relationship between spoiler intensity and box office revenue with an elasticity of .06. The positive effect of spoiler intensity is greater for movies with a limited release, smaller advertising spending, and moderate user ratings, and is stronger in the earlier days after the movie’s release. Using an event study and online experiments, the authors provide further evidence that spoiler reviews can help consumers reduce their uncertainty about the quality of movies, consequently encouraging theater visits. Thus, movie studios may benefit from consumers’ access to plot-intense reviews and should actively monitor the content of spoiler reviews to better forecast box office performance.

scholarly journals Regional differences in the capitalisation of first and second pillar payments of the CAP into land rental prices

2020 ◽  
Author(s):  
Klaus Salhofer ◽  
Paul Feichtinger
Keyword(s):  
Agricultural Policy ◽  
Regional Differences ◽  
Dynamic Panel ◽  
Accounting Data ◽  
Dynamic Panel Model ◽  
Panel Model ◽  
Land Rental ◽  
Part Time ◽  
High Yields ◽  
Large Farms

Abstract Nearly 80 per cent of Common Agricultural Policy (CAP) expenditures are spent on three different measures: first pillar payments (FPPs), agri-environmental payments (AEPs) and less favoured area payments (LFAPs). Based on a dynamic panel model and farm accounting data for Bavaria, we find that, on average, 30 per cent of FPPs, 40–50 per cent of LFAPs, but no relevant share of AEPs are capitalised into land rental prices. The capitalisation ratio varies considerably across regions. Above average capitalisation ratios for FPPs are observed in more favourable areas with high yields, a low grassland share and large farms. The same is true for LFAPs for areas with high yields, large farms and a greater share of part-time farmers.

scholarly journals DEMOGRAPHIC BONUS ANALYSIS AND ECONOMIC GROWTH OF EAST JAVA

2018 ◽  
Vol 2 (1) ◽  
pp. 8-21
Author(s):  
Amirusholihin ◽  
Listiono
Keyword(s):  
Negative Impact ◽  
Positive Impact ◽  
Demographic Variables ◽  
Spatial Inequality ◽  
Solow Model ◽  
Dynamic Panel Model ◽  
Goods And Services ◽  
Panel Model ◽  
Working Age ◽  
The Impact

BKKBN predicts that Indonesia will get demographic bonus in 2020 until 2030. The question is whether the demographic bonus has a positive impact on the economy of East Java or even a negative impact. Based on data from BPS, by 2015 the workingage population in East Java is around 69.4 percent of the total population, while the child and old-age is 30.6 percent. The size of the working-age population is closely related to the amount of labor, which also greatly determines the amount of output on goods and services produced. This paper aims to explain how the impact of demographic bonuses on East Java's regional economy, based on the Solow model extended to include demographic variables. The analysis uses a dynamic panel model by 38 districts in East Java that have demographic bonuses in 2020 with GDP as a reference in determining the growth of economists. From these analyzes it can be seen the impact of demographic bonuses in East Java as an advantage or even create new spatial inequality between regions.

scholarly journals X-Differencing and Dynamic Panel Model Estimation

2010 ◽  
Author(s):  
Chirok Han ◽  
Peter C. B. Phillips ◽  
Donggyu Sul
Keyword(s):  
Model Estimation ◽  
Dynamic Panel ◽  
Dynamic Panel Model ◽  
Panel Model

The Arab Spring and the International Defense Market

2020 ◽  
pp. 1-19
Author(s):  
Jeroen Klomp
Keyword(s):  
Political Violence ◽  
Abnormal Return ◽  
Arab Spring ◽  
Substantial Part ◽  
Dynamic Panel Model ◽  
Panel Model ◽  
Stock Market Return ◽  
The One ◽  
The Arab Spring ◽  
The Impact

Abstract The aim of this study is to analyze the impact of the political violence during the Arab Spring on the stock market return of international defense firms. The direction of this impact is not directly straightforward as the civil unrests influence the expectations of investors in two opposite ways. On the one hand, investors might expect that when the peaceful demonstrations were turned into violent events, the Arab governments involved will start acquiring more military-strategic goods to repress the protests or send a strong signal of power to ensure their stay in office. However, on the other hand, when the popular protests escalated, investors, perhaps, became more concerned about the possible imposition of international military sanctions against the Arab Spring countries to restore peace and protect human rights. The main empirical findings of a dynamic panel model clearly confirm this pattern and point out that when the Arab Spring originated, the abnormal return of international defense stocks starts to rise immediately. However, in the course of time, the concerns of the introduction of arms embargoes become stronger and eventually start to dominate, causing the abnormal return to fall again, while the idiosyncratic risk began to fall due to enhanced diversification. It turns out that firm-specific factors can explain a substantial part of the effect found. For instance, the reaction of investors to the Arab Spring is significantly larger for firms that produce predominantly military goods.

scholarly journals Fiscal Behavior Volatility, Economic Growth, and Urban-Rural Income Disparity

2014 ◽  
Vol 2 (3) ◽  
pp. 217-225
Author(s):  
Yufeng Wang ◽  
Shulin Liu
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Local Governments ◽  
Economic Transition ◽  
Income Disparity ◽  
Dynamic Panel Model ◽  
Rural Income ◽  
Panel Model ◽  
Urban Rural ◽  
Fiscal Behavior

AbstractFiscal behavior of local governments has great volatility in China, especially in the period of economic transition. This paper estimates fiscal behavior volatility by making regression analysis of panel data of 30 provinces from 1994 to 2011. Then we establish a dynamic panel model to study the direct and indirect impact of the fiscal behavior volatility on the urban-rural income disparity. Empirical results show that urban-rural income disparity has nonlinear relationship with economic growth and financial development and that fiscal behavior volatility expands the urban-rural income disparity directly and indirectly. The larger fiscal behavior volatility comes greater urban-rural income disparity. We also find that the urban-rural income disparity is further enlarged through dual economic structure. If one of the economic growth and financial development is fixed, the other one has an inverted U-shaped relationship with urban-rural income disparity.

scholarly journals Technological Capability as a Key Determinant for Foreign Direct Investment: The Case of Indian Sub-Continent

2016 ◽  
Vol 11 (9) ◽  
pp. 154 ◽  
Author(s):  
Tahir Iqbal ◽  
Abdul Razak Abdul Hadi ◽  
Sehrish Zafar
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Technological Development ◽  
Technological Capability ◽  
Dynamic Panel Model ◽  
Panel Model ◽  
Fixed And Random Effects ◽  
The Relationship ◽  
Global Population ◽  
Yearly Data

This paper is pursued with the objective of investigating technological capability as a key determinant for foreign direct investment in Indian sub-continent consisting of India, Pakistan and Bangladesh. The focus of the study is to identify why some countries are attracting more inward FDI than others within the same geographical region as well as to uncover the plausible reason that could lure foreign direct investment (Indian sub-continent caters for one-fifth of the global population). Research methodology uses static panel data models involving fixed and random effects over yearly data from 1994 until 2011. Furthermore, a dynamic panel model via Park method is used on the datasets. The findings which indicate clear implications in those countries with strong domestic technological capabilities seem to have a solid influence in attracting inward FDI. The study also reveals that the relationship between domestic technological development and inward FDI is even stronger than other controlled variables (inflation, lending rates and GDP) in the model.

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