Structural models are models for empirical work that have ‘deep’parameters that are invariant to changes in the economic environment. Structural modelling always involves theoretical modelling; my own feeling is that it is impossible to do good applied microeconometrics without also doing good theory. The polar extreme to structural modelling is quasi-experimental (or natural experiment) modell...

A (truly) integrated approach to the management of urban water should take into account, further to the characteristics of the technical system, a range of socio-economic processes and interactions – combined into what has been termed the “socio-technical system”. This is by no means an easy endeavour: conventional simulation tools often fail to capture socio-economic processes and their intera...

The paper starts by discussing and modelling the potential of FDI to affect host country economic growth. The paper argues that out of two primary channels for FDI effects on economic growth, inflows of physical capital and technology spillovers respectively, it is technology spillovers that have the strongest potential to enhance economic growth in the host country. Using panel data analysis t...

The current mainstream in economic research is intensively supplemented by new modelling paradigms that have been established only recently. Application of agent-based modelling in the realm of economic systems labelled as Agent-based Computational Economics (ACE) represents one rapidly evolving approaches. On the other hand, there is a lack of research focused on timebanks (TBs) as an economic...

This paper focuses on the estimating impacts of the development scenarios on natural resources and on socio-economy with the help of mathematic modelling. The work presented here is part of the WUP-FIN project, complementary project for Water Utilization Programme under MRC. WUP-FIN focuses on developing and implementing hydrological, environmental and socio-economic modelling tools for the Low...

Based on the works [11], [22] a fuzzy time series model is proposed and applied to predict chaotic financial process. The general methodological framework of classical and fuzzy modelling of economic time series is considered. A complete fuzzy time series modelling approach is proposed. To generate fuzzy rules from data, the neural network with Supervised Competitive Learning (SCL)-based produc...

We compared the economics of using two-dimensional ultrasound locating devices and more traditional landmark methods for central venous cannulation in the National Health Service (NHS). The evaluation consisted of a systematic review of randomised controlled trials and an economic evaluation using decision analytic cost-effectiveness modelling. Incremental costs per complication avoided associa...

The paper discusses the role of Graphical User Interfaces in economic modelling and specifically the development of a new Graphical User Interface Generator for applications realized in GAMS (General Algebraic Modelling System), a widely used Algebraic Modelling Language for (bio-)economic simulation models. It motivates the development of GGIG (Gams Graphical Interface Generator) by reviewing ...

| In this paper we propose some design guidelines for the implementation of a library for computer aided modelling and analysis in economics. We base our approach in object-oriented programming. We also introduce a prototype implementation, where a set of algorithms and data structures appropriated for economic modelling is supplied.