The Hong Kong tourist satisfaction index

This study develops a tourist satisfaction assessment system based on a dual-model framework and demonstrates its general applicability. The first model concerns tourist satisfaction and its key antecedents and consequences. Structural equation modelling is employed to investigate the relationships amongst the constructs in the theoretical framework, and is then used as a basis for the computation of sectoral-level tourist satisfaction indexes. The second model is designed to estimate an aggregate service satisfaction index and an overall destination satisfaction index using a multiple indicator and multiple cause approach. The framework is applied to a large dataset that represents six tourism-related sectors and seven major source markets of inbound tourism to Hong Kong.     

The influence of debt management on the term-structure of interest rates

Summary This article focuses onthe influence of debt management on the term-structure of interest rates. Four theories are discussed which try to explain the factors influencing the term-structure. It proved that the four theories could be distinguished according to three aspects which have been investigated by means of analysis of variance and of the estiamtion of two reduced form equations with Dutch data during the period 1950 through 1973. It could be concluded that the liquidity preference theory and to a smaller extent the preferred habitat theory fitted the data relatively well. From this it followed that the influence of debt management on the term-structure of interest rates is rather small. This article is an elaboration of a paper written at the end of the author’s study at Groningen State University. He thanks Dr. S. K. Kuipers, Mr. P. W. Otter and Mr. B. S. Wilpstra, all connected with the Groningen State University, for their advice during the writing of the paper. He also thanks Mr. A. van der Veen, who took care of all the calculation which was necessary for the elaboration. He further thanks Dr. M. M. G. Fase for the comments he made on a previous version of this article. The author works at the Central Bureau of Statistics in The Hague.     

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Passive Firm Learning and Employment Projection Error

This paper analyzes establishment error in estimating employment targets in business startups and expansions. Passive firm learning models provide a testable hypothesis that, other things being equal, old establishments more accurately predict future employment targets than young businesses. Empirical evidence from 442 Ohio establishments implies that an increase of ten years in establishment age is associated with a decrease in employment projection error rate of between 11 and 13 percentage points.     

A simultaneous model for regional labor supply, incorporating labor force participation, commuting and migration

Simultaneous relations between various components of the regional supply of labor and the situation on the regional labor market are developed. There is a distinction between migration, participation and commuting. Conventional research only devotes attention towards the partial relation between one of these components and the regional labor market situation. However, many decisions people make, involve a simultaneous approach towards participation, commuting and migration. This approach is operationalized at a macro-level by constructing a simultaneous supply model. For the specifications we go back to standard literature. In each of the equations, apart from variables that are specific for the particular function, special attention is given to the interrelation between the three supply variables. An overall simultaneity is described by a fourth endogenous variable: unemployment; this variable is explained by employment, participation, netmigration and netcommuting. A combined time-series/cross-section-analysis is used to estimate the model.

Surprisingly it appears that in comparison with OLS parameter- and t-values of the supply-equations are not affected by the use of simultaneous estimation techniques. Only for the unemployment-equation there are significant changes.