scholarly journals Mastering Panel Metrics: Causal Impact of Democracy on Growth

2019 ◽  
Vol 109 ◽  
pp. 77-82 ◽  
Author(s):  
Shuowen Chen ◽  
Victor Chernozhukov ◽  
Iván Fernández-Val
Keyword(s):  
Panel Data ◽  
Statistical Inference ◽  
Fixed Effects ◽  
State Of The Art ◽  
Panel Data Analysis ◽  
High Dimensional ◽  
Econometric Methods ◽  
Long Run ◽  
Causal Impact ◽  
The Relationship

We revisit the panel data analysis of Acemoglu et al. (forthcoming) on the relationship between democracy and economic growth using state-of-the-art econometric methods. We argue that panel data settings are high-dimensional, resulting in estimators to be biased to a degree that invalidates statistical inference. We remove these biases by using simple analytical and sample-splitting methods, and thereby restore valid statistical inference. We find that debiased fixed effects and Arellano-Bond estimators produce higher estimates of the long-run effect of democracy on growth, providing even stronger support for the key hypothesis of Acemoglu et al.

scholarly journals The nexus of tourism spending with economic performance: A panel data analysis for the Eurozone area

2021 ◽  
Vol 25 (1) ◽  
pp. 53-62
Author(s):  
Ageliki Anagnostou ◽  
George Ekonomou ◽  
Dimitris Kallioras
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Economic Performance ◽  
Panel Data Analysis ◽  
Centrifugal Forces ◽  
Economic Space ◽  
Analysis Techniques ◽  
Long Run ◽  
The Relationship ◽  
Long Run Equilibrium

The paper investigates the nexus of tourism spending (i.e. leisure and business tourism spending) with economic performance (i.e. GDP and employment) for the Eurozone countries, during the period 2000-2018, employing sophisticated panel data analysis techniques. The issue is salient, given that within the Eurozone economic space the abolition of border impediments has released dynamics and brought into surface a new mix of opportunities, threats and challenges that has been changing the balance between centripetal and centrifugal forces. The findings of the paper identify the long-run equilibrium and confirm the bi-directional relationships among the variables considered, thus contributing to the discussion on the relationship between tourism and economic performance.

Does tourism promote economic growth? A fractionally integrated heterogeneous panel data analysis

2021 ◽  
pp. 135481662098066
Author(s):  
Jorge V Pérez-Rodríguez ◽  
Heiko Rachinger ◽  
María Santana-Gallego
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Fixed Effects ◽  
Panel Data Analysis ◽  
Dynamic Panel Data ◽  
European Countries ◽  
Tourist Destinations ◽  
Contemporaneous Correlation ◽  
Long Run ◽  
Interactive Fixed Effects

In this article, we analyse whether tourism promotes economic growth using a general dynamic panel data model that incorporates individual and interactive fixed effects and allows for contemporaneous correlation in model innovations. The empirical study is based on quarterly series of GDP and tourist arrivals for 14 European countries covering the period from 1995 to 2019. Results indicate that the case for a positive long-run relationship between tourism and economic growth is rather weak, being slightly stronger for the period prior to the global economic and financial crisis from 2007 to 2010. When applying panel fractional cointegration techniques, we find evidence in favour of the tourism-led growth hypothesis (TLGH) for the full sample mainly for North European countries. For the pre-crisis period, on the other hand, we find evidence in favour of the TLGH for the relevant tourist destinations Spain and France.

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.

Is NPA and Stock Return Related: An Empirical Study of Back Testing Model

2017 ◽  
Vol 10 (1) ◽  
Author(s):  
Madhvi . ◽  
Amit Gautam ◽  
Amit Srivastava
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Stock Price ◽  
Panel Data Analysis ◽  
Negative Relationship ◽  
Share Price ◽  
Correlation Studies ◽  
Back Testing ◽  
Trading Model ◽  
The Relationship

This paper examines the relationship between NPA announcements by banks and the impulsive movement in stock price brought out by these announcements. Primary focus of this study is to determine whether we can create a swing trading model based on back testing the data for the banking stocks listed on the Indian bourses.To achieve this objective we created a databasespanning ten years (2006 to 2016) and collected the daily share prices of eight banks listed on Bombay Stock Exchange (BSE). The relationship between share price and changes in NPA is studied on the basis of correlation studies and panel-data analysis. Although correlation studies does not establish any significant relationship, but the result of panel-data analysis clearly shows a negative relationship between the two. The result is further utilized to develop swing trading model and get benefit out of it. The novelty of the present study is that it clearly guides the swing traders as to how to earn benefit because of fluctuations in share price due to announce of NPA result.

Effects of content characteristics on stages of customer engagement in social media: investigating European wine brands

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aspasia Vlachvei ◽  
Ourania Notta ◽  
Eirini Koronaki
Keyword(s):  
Social Media ◽  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Customer Engagement ◽  
Content Type ◽  
Interactive Engagement ◽  
Long Run ◽  
Three Stages ◽  
The Impact

PurposeThis study advances knowledge of interactive marketing strategies by examining the effect of different content types on the three stages of customer engagement (CE) in social media, namely, relationship formation, engagement creation and engagement contribution, for European wine brands.Design/methodology/approachBoth quantitative and qualitative content analyses are conducted; a panel data analysis validates the impact of content type on the three stages of CE in social media.FindingsThe results indicate that remunerative content is the most consistent and promising strategy for enhancing all three stages of CE in social media. Social content motivates consumers to interact with wine brands by commenting, which is the most demanding and time-consuming form of engagement.Practical implicationsThe empirical results offer valuable directions for managers and marketers of European wine brands on creating and maintaining optimal interactive engagement in all three stages with their Facebook communities over the long run.Originality/valueThis study is one of the first to empirically examine, through objective measurement, how content type affects the three stages of CE in social media. The case of European wine brands is examined, over time, through a panel data analysis.

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