Comparing Forecasting Performance with Panel Data

2019 ◽  
Author(s):  
Allan Timmermann ◽  
Yinchu Zhu
Keyword(s):  
Panel Data ◽  
Forecasting Performance

Pooling in Tourism Demand Forecasting

2018 ◽  
Vol 58 (7) ◽  
pp. 1161-1174 ◽  
Author(s):  
Wen Long ◽  
Chang Liu ◽  
Haiyan Song
Keyword(s):  
Panel Data ◽  
Fixed Effects ◽  
Demand Forecasting ◽  
Spillover Effects ◽  
Ordinary Least Squares ◽  
Spatial Effects ◽  
Tourism Demand ◽  
Forecasting Accuracy ◽  
Demand Models ◽  
Forecasting Performance

This study investigates whether pooling can improve the forecasting performance of tourism demand models. The short-term domestic tourism demand forecasts for 341 cities in China using panel data (pooled) models are compared with individual ordinary least squares (OLS) and naïve benchmark models. The pooled OLS model demonstrates much worse forecasting performance than the other models. This indicates the huge heterogeneity of tourism across cities in China. A marked improvement with the inclusion of fixed effects suggests that destination features that stay the same or vary very little over time can explain most of the heterogeneity. Adding spatial effects to the panel data models also increases forecasting accuracy, although the improvement is small. The spatial distribution of spillover effects is drawn on a map and a spatial pattern is recognized. Finally, when both spatial and temporal effects are taken into account, pooling improves forecasting performance.

Retrospective analysis of the resilience of Russian regions as socio-economic systems

2019 ◽  
pp. 46-64 ◽  
Author(s):  
Vladimir V. Klimanov ◽  
Sofiya М. Kazakova ◽  
Anna A. Mikhaylova
Keyword(s):  
Panel Data ◽  
Economic Systems ◽  
Financial Indicators ◽  
Russian Regions ◽  
Integral Index ◽  
Negative Effects ◽  
Economic Resilience ◽  
Correlation Dependence ◽  
The Impact ◽  
The Relationship

The article examines the impact of various socio-economic and financial indicators on the resilience of Russian regions. For each region, the integral index of resilience is calculated, and its correlation dependence with the selected indicators is revealed. The study confirms the relationship between fiscal resilience and socio-economic resilience of the regions. The analysis of panel data for 75 regions from 2007 to 2016 shows that there are significant differences in the dynamics of indicators in different periods. In particular, the degree of exposure to the negative effects of the crises of 2008—2009 and 2014—2015 in non-resilient regions is higher than in resilient ones.

Credit Market Depth and Income Inequality in Vietnam: A Panel-Data Analysis

2016 ◽  
pp. 5-18
Author(s):  
Hoi Le Quoc ◽  
Hoi Chu Minh
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Income Inequality ◽  
Financial Development ◽  
Inflection Point ◽  
Panel Data Analysis ◽  
Credit Market ◽  
Method Of Moment ◽  
Market Depth ◽  
Generalized Method Of Moment

Financial development could exert various effects on income distribution of a country. By employing Generalized Method of Moment, this paper aims at examining the impacts of credit market depth, one of most used financial development barometers, on income inequality in Vietnam. The empirical findings show that expanding credit market in the country could lead to higher income inequality. We have not found evidence that supports the hypothesis of an inverted U-shaped relation ever introduced by Greenwood and Jovanovich, although this hypothesis may still hold in a sense that Vietnam has not reached to the inflection point to generate such a curve alike.

Does Diversity in The Boardroom Add Value to a Firm?

2018 ◽  
Vol 18 (5) ◽  
Keyword(s):  
Firm Performance ◽  
Panel Data ◽  
Firm Size ◽  
Significant Influence ◽  
Negative Influence ◽  
Positive Influence ◽  
Future Research ◽  
Board Composition ◽  
Board Diversity

This study examines whether board diversity affects firm performance. We investigate this study using panel data of a sample of S&P 500 firms during a 12 year period. After controlling for industry, firm size, and other board composition variables, we find that all three board diversity variables of interest – gender, ethnicity, and age have a significant influence on firm performance. While ethnicity and age have a positive influence on firm performance, it was found that gender has a negative influence. Implications for future research are discussed.

ÖRGÜTLERDE ÖRGÜTSEL BOLLUĞUN GİRİŞİMSEL ORYANTASYON ÜZERİNDEKİ ETKİSİ

2016 ◽  
Vol 4 (3) ◽  
Author(s):  
Nurdan Gürkan ◽  
Ahmet Ferda Çakmak
Keyword(s):  
Corporate Governance ◽  
Data Analysis ◽  
Panel Data ◽  
Strategic Management ◽  
Significant Relationship ◽  
Entrepreneurial Orientation ◽  
Panel Data Analysis ◽  
Organizational Slack ◽  
Analysis Method ◽  
The Relationship

The concept of entrepreneurial orientation, which emerges with the development of strategic management, refers to entrepreneurship orientations of businesses. The businesses need resources in other words organizational slack in order to develop their entrepreneurial trends. The organizational slack consists of three slack type. These slack types are available slack, recoverable slack and potential slack. The purpose of this study is to examine whether organizational slack in the businesses has an effect on entrepreneurial orientation. The relationship between organizational slack and entrepreneurial orientation was investigated through 20 companies that were traded in Borsa Istanbul Corporate Governance Index for 2010-2014 period using panel data analysis method. The results of the study indicate the existence of a statistically significant relationship between and the available slack and the recoverable slack with the entrepreneurial orientation in the businesses. According to findings; there was no statistically significant relationship between potential slack and entrepreneurial orientation.

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