scholarly journals Simultaneous Equations Model with Non-Linear and Linear Dependent Variables on Panel Data

2020 ◽  
Vol 10 (01) ◽  
pp. 69-89
Author(s):  
Amélie Adeline ◽  
Richard K. Moussa
Keyword(s):  
Panel Data ◽  
Simultaneous Equations ◽  
Simultaneous Equations Model ◽  
Dependent Variables ◽  
Non Linear

Assessing the determinants of local tourism demand

2016 ◽  
Vol 23 (5) ◽  
pp. 981-992 ◽  
Author(s):  
Luca Zamparini ◽  
Anna Serena Vergori ◽  
Serena Arima
Keyword(s):  
Panel Data ◽  
Simultaneous Equations ◽  
Economic Factors ◽  
Tourism Demand ◽  
Economic Variables ◽  
Simultaneous Equations Model ◽  
Overnight Stays

Traditional analysis of tourism demand has been mainly based on the consideration of economic variables aiming at explaining the evolution of either tourists’ expenditure or overnight stays or arrivals. This study is based on a collection of both economic variables and non-economic factors surveyed since 1998–2013 for 99 Italian NUTS3 (Nomenclature of Units for Territorial Statistics) regions (provinces). It is the first study in which such a wide array of non-economic and economic variables has been investigated for a panel data at this geographical level by using a simultaneous equations model. The analysis shows that all considered variables are significant for the evolution of tourism demand and that climate, tourism supply and entrepreneurial capabilities have the largest impacts.

scholarly journals Poverty, governance and economic growth

2013 ◽  
Vol 2 (3) ◽  
pp. 19-24 ◽  
Author(s):  
Kefi Mohamed Karim ◽  
Hadhek Zouhaier ◽  
Ben Hamed Adel
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Panel Data ◽  
Data Model ◽  
Simultaneous Equations ◽  
Panel Data Model ◽  
Simultaneous Equations Model ◽  
Negative Effect ◽  
Empirical Tests ◽  
Positive Effect

The objective of this paper is to study the effect of governance and poverty on economic growth of a set of eight developing countries during the period 2000-2009, using a dynamic and static panel data model and a simultaneous equations model. The key findings generated from these three empirical tests stipulate a negative effect of governance on poverty and a positive effect of political instability and corruption on poverty.

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