Approaches to aggregation are reviewed. These consist of random parameters, random right hand side variables (Stoker's approach}. and exact aggregation. Each approach utilizes different assumptions and has weaknesses. In a sense, exact aggregation is the nonparametric approach. The penultimate section of the paper shows that these concepts may be very important for risk analysis. A simulation model gives substantially biased estimates of regression parameters when exact aggregation procedures are not followed
peer reviewedThis two-part state-of-the-art overview on aggregation theory summarizes the essential ...
It is well known that the class of strong (Generalized) AutoRegressive Conditional Heteroskedasticit...
Aggregation theory in quantitative business analysis is surveyed in this thesis with particular emph...
This chapter covers recent solutions to aggregation problems in three application areas: consumer de...
Researchers in many fields of economics often compare distributions using some criterion or another ...
The author describes and analyzes different sorts of problems from aggregation bias, a type of compo...
The chapter discusses how to tackle the problems in deriving an overall economic capital estimate ag...
The author describes and analyzes different sorts of problems from aggregation bias, a type of compo...
The chapter discusses how to tackle the problems in deriving an overall economic capital estimate ag...
This paper discusses the concept of aggregation in decision problems with the Bayesian approach. A v...
Aggregation methods for making aggregate predictions from disaggregate discrete choice models have p...
We introduce a new approach for prudent risk evaluation based on stochastic dominance, which will be...
This book argues that modern macroeconomics has completely overlooked the aggregate nature of the d...
This book argues that modern macroeconomics has completely overlooked the aggregate nature of the d...
peer reviewedThis two-part state-of-the-art overview on aggregation theory summarizes the essential ...
peer reviewedThis two-part state-of-the-art overview on aggregation theory summarizes the essential ...
It is well known that the class of strong (Generalized) AutoRegressive Conditional Heteroskedasticit...
Aggregation theory in quantitative business analysis is surveyed in this thesis with particular emph...
This chapter covers recent solutions to aggregation problems in three application areas: consumer de...
Researchers in many fields of economics often compare distributions using some criterion or another ...
The author describes and analyzes different sorts of problems from aggregation bias, a type of compo...
The chapter discusses how to tackle the problems in deriving an overall economic capital estimate ag...
The author describes and analyzes different sorts of problems from aggregation bias, a type of compo...
The chapter discusses how to tackle the problems in deriving an overall economic capital estimate ag...
This paper discusses the concept of aggregation in decision problems with the Bayesian approach. A v...
Aggregation methods for making aggregate predictions from disaggregate discrete choice models have p...
We introduce a new approach for prudent risk evaluation based on stochastic dominance, which will be...
This book argues that modern macroeconomics has completely overlooked the aggregate nature of the d...
This book argues that modern macroeconomics has completely overlooked the aggregate nature of the d...
peer reviewedThis two-part state-of-the-art overview on aggregation theory summarizes the essential ...
peer reviewedThis two-part state-of-the-art overview on aggregation theory summarizes the essential ...
It is well known that the class of strong (Generalized) AutoRegressive Conditional Heteroskedasticit...
Aggregation theory in quantitative business analysis is surveyed in this thesis with particular emph...