This paper offers a perspective on A.R. Bergstrom’s contribution to continuous-time modeling, focusing on his preferred method of estimating the parameters of a structural continuous-time model using an exact discrete-time analog. Some inherent difficulties in this approach are discussed, which help to explain why, in spite of his prescience, the methods around his time were not universally adopted as he had hoped. Even so, it is argued that Bergstrom’s contribution and legacy is secure and retains some relevance today for the analysis of macroeconomic and financial time series.
This thesis studies the continuous-time financial models and their discrete versions, used for simul...
This thesis studies the continuous-time financial models and their discrete versions, used for simul...
This paper sets out an approach for modelling univariate time series, including those in which obser...
This paper offers a perspective on A.R. Bergstrom's contribution to continuous-time modeling, focusi...
This unique book provides an overview of continuous time modeling in the behavioral and related scie...
This unique book provides an overview of continuous time modeling in the behavioral and related scie...
This lecture surveys the recent literature on estimating continuous-time models using discrete obser...
This paper reviews the contributions of Rex Bergstrom to the development of continuous time dynamic ...
The problem of estimating continuous--time stochastic models from discrete-- time data is addressed....
Economists model time as continuous or discrete. The recent literature on continuous time models wit...
Economists model time as continuous or discrete. The recent literature on continuous time models wi...
The exact discrete model satisfied by equispaced data generated by a linear stochastic differential ...
Computational aspects of obtaining estimates of continuous time macroeconometric models on the basis...
Computational aspects of obtaining estimates of continuous time macroeconometric models on the basis...
We consider a multivariate continuous time process, generated by a system of linear stochastic diffe...
This thesis studies the continuous-time financial models and their discrete versions, used for simul...
This thesis studies the continuous-time financial models and their discrete versions, used for simul...
This paper sets out an approach for modelling univariate time series, including those in which obser...
This paper offers a perspective on A.R. Bergstrom's contribution to continuous-time modeling, focusi...
This unique book provides an overview of continuous time modeling in the behavioral and related scie...
This unique book provides an overview of continuous time modeling in the behavioral and related scie...
This lecture surveys the recent literature on estimating continuous-time models using discrete obser...
This paper reviews the contributions of Rex Bergstrom to the development of continuous time dynamic ...
The problem of estimating continuous--time stochastic models from discrete-- time data is addressed....
Economists model time as continuous or discrete. The recent literature on continuous time models wit...
Economists model time as continuous or discrete. The recent literature on continuous time models wi...
The exact discrete model satisfied by equispaced data generated by a linear stochastic differential ...
Computational aspects of obtaining estimates of continuous time macroeconometric models on the basis...
Computational aspects of obtaining estimates of continuous time macroeconometric models on the basis...
We consider a multivariate continuous time process, generated by a system of linear stochastic diffe...
This thesis studies the continuous-time financial models and their discrete versions, used for simul...
This thesis studies the continuous-time financial models and their discrete versions, used for simul...
This paper sets out an approach for modelling univariate time series, including those in which obser...