A simultaneous equations model of the hotel room supply and demand in Hong Kong

2002 ◽  
Vol 21 (4) ◽  
pp. 455-462 ◽  
Author(s):  
Hailin Qu ◽  
Peng Xu ◽  
Amy Tan
Keyword(s):  
Hong Kong ◽  
Supply And Demand ◽  
Simultaneous Equations ◽  
Simultaneous Equations Model ◽  
Hotel Room

SEMIPARAMETRIC EFFICIENCY BOUNDS FOR CONDITIONAL MOMENT RESTRICTION MODELS WITH DIFFERENT CONDITIONING VARIABLES

2015 ◽  
Vol 32 (4) ◽  
pp. 917-946 ◽  
Author(s):  
Marian Hristache ◽  
Valentin Patilea
Keyword(s):  
Regression Models ◽  
Supply And Demand ◽  
Simultaneous Equations ◽  
Conditional Moment ◽  
Efficient Score ◽  
Semiparametric Efficiency ◽  
Regression Quantile ◽  
New Applications ◽  
Theoretical Results ◽  
Moment Restriction

This paper addresses the problem of semiparametric efficiency bounds for conditional moment restriction models with different conditioning variables. We characterize such an efficiency bound, that in general is not explicit, as a limit of explicit efficiency bounds for a decreasing sequence of unconditional (marginal) moment restriction models. An iterative procedure for approximating the efficient score when this is not explicit is provided. Our theoretical results provide new insight for the theory of semiparametric efficiency bounds literature and open the door to new applications. In particular, we investigate a class of regression-like (mean regression, quantile regression,…) models with missing data, an example of a supply and demand simultaneous equations model and a generalized bivariate dichotomous model.

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.

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