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The purpose of the System Dynamics method is to study the relationship between structure and behavior in non-linear, dynamic systems. In such systems, the significance of various structural components to the behavior pattern exhibited, changes as the behavior unfolds. Changes in structural...
Persistent link: https://www.econbiz.de/10015227450
I investigate how well market valuation and yield measures predict the maximum sustainable withdrawal rate (MWR) that a person can use with their retirement savings to obtain inflation-adjusted income over a 30-year period. The regression framework includes variables to predict long-term stock...
Persistent link: https://www.econbiz.de/10015226876
Countless current and prospective retirees now rely on portfolio success rates calculated from the historical data for different retirement withdrawal strategies when planning their own retirements. Past history-based studies ushered forth what has become known as the 4 percent rule for...
Persistent link: https://www.econbiz.de/10015227012
The method of model averaging has become an important tool to deal with model uncertainty, in particular in empirical settings with large numbers of potential models and relatively limited numbers of observations, as are common in economics. Model averaging is a natural response to model...
Persistent link: https://www.econbiz.de/10015257563
The method of model averaging has become an important tool to deal with model uncertainty, for example in situations where a large amount of different theories exist, as are common in economics. Model averaging is a natural and formal response to model uncertainty in a Bayesian framework, and...
Persistent link: https://www.econbiz.de/10015262107
The method of model averaging has become an important tool to deal with model uncertainty, for example in situations where a large amount of different theories exist, as are common in economics. Model averaging is a natural and formal response to model uncertainty in a Bayesian framework, and...
Persistent link: https://www.econbiz.de/10015262951
In all areas of human knowledge, datasets are increasing in both size and complexity, creating the need for richer statistical models. This trend is also true for economic data, where high-dimensional and nonlinear/noparametric inference is the norm in several fields of applied econometric work....
Persistent link: https://www.econbiz.de/10015265696
This paper provides the prediction of future production of citrus and mango in the medium term up to 2010. The prediction was based on the assumptions that past trends (area planted and yield) and existence of normal weather pattern will hold. Time trend model with specific emphasis on growth...
Persistent link: https://www.econbiz.de/10015224371
This study investigates the relationship between relative price variability and inflation in three regions in Malaysia namely Peninsular Malaysia, Sabah and Sarawak. Using monthly time series data from January 1970 until Mac 2005, this study utilizes the non-linear time series technique of STAR...
Persistent link: https://www.econbiz.de/10015224413
Applied economists working with time series data face a dilemma in selecting between models with deterministic and stochastic trends. While models with deterministic trends are widely used, models with stochastic trends are not so well known. In an influential paper Harvey (1997) strongly...
Persistent link: https://www.econbiz.de/10015230022