Abstract. Econometric modelling of the property market has been exercised for several decades. Despite advancements in the field, there is still an element of uncertainty in property market modelling and forecasting. This uncertainty arises due to prevailing modelling practices. On one hand, researchers select the best performing model and disregard alternatives. On the other hand, researchers face a dilemma in deciding which model to choose when competing specifications produce different results. A possible solution is to use the principle of combination forecasting to reduce uncertainty and improve accuracy. Certainly, combination forecasting has its limitations. One criticism is that combination forecasting has predominantly focused on n...
We consider combinations of subjective survey forecasts and model-based forecasts from linear and no...
Clark and McCracken (2008) argue that combining real-time point forecasts from VARs of output, price...
This thesis evaluates four of the most popular methods for combining time series forecasts. One aspe...
"Econometric modelling of the property market has been exercised for several decades. Despite advanc...
In light of the financial and property crisis of 2007-2013 it is difficult to ignore the existence o...
Purpose – The commercial property market is complex, but the literature suggests that simple models...
In this paper, we evaluate the forecasting ability of 145 indicators and ten types of forecast combi...
This paper proposes to add the conceptual framework for an integrated modular model as a new dimensi...
Recently, focus of real estate investment has expanded from the building-specific level to the aggre...
This study investigates the performance of combination forecasts in comparison to individual forecas...
Increasingly, professional forecasters and academic researchers in economics present model-based and...
In this article it is advocated to select a model only if it significantly contributes to the accura...
We consider different methods for combining probability forecasts. In empirical exercises, the data ...
When the objective is to forecast a variable of interest but with many explanatory variables availab...
The last three decades have seen the booming of the research on combination forecasts in various eco...
We consider combinations of subjective survey forecasts and model-based forecasts from linear and no...
Clark and McCracken (2008) argue that combining real-time point forecasts from VARs of output, price...
This thesis evaluates four of the most popular methods for combining time series forecasts. One aspe...
"Econometric modelling of the property market has been exercised for several decades. Despite advanc...
In light of the financial and property crisis of 2007-2013 it is difficult to ignore the existence o...
Purpose – The commercial property market is complex, but the literature suggests that simple models...
In this paper, we evaluate the forecasting ability of 145 indicators and ten types of forecast combi...
This paper proposes to add the conceptual framework for an integrated modular model as a new dimensi...
Recently, focus of real estate investment has expanded from the building-specific level to the aggre...
This study investigates the performance of combination forecasts in comparison to individual forecas...
Increasingly, professional forecasters and academic researchers in economics present model-based and...
In this article it is advocated to select a model only if it significantly contributes to the accura...
We consider different methods for combining probability forecasts. In empirical exercises, the data ...
When the objective is to forecast a variable of interest but with many explanatory variables availab...
The last three decades have seen the booming of the research on combination forecasts in various eco...
We consider combinations of subjective survey forecasts and model-based forecasts from linear and no...
Clark and McCracken (2008) argue that combining real-time point forecasts from VARs of output, price...
This thesis evaluates four of the most popular methods for combining time series forecasts. One aspe...