A NEW ESTIMATION METHOD OF DISCRETE CHOICE MODELS WITH SERIALLY CORRELATED PLURAL DATA

a new approach to credibility premium for zero-inflated poisson models for panel data

هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...

Bayesian Estimation of Dynamic Discrete Choice Models

We propose a new estimator for dynamic programming discrete choice models. Our estimation method combines the Dynamic Programming algorithm with a Bayesian Markov Chain Monte Carlo algorithm into one single Markov Chain algorithm that solves the dynamic programming problem and estimates the parameters at the same time. Our key innovation is that during each solution-estimation iteration both th...

Data Models for Discrete Choice

A Simple Estimator for Dynamic Models with Serially Correlated Unobservables∗

We present a method for estimating Markov dynamic models with unobserved state variables which can be serially correlated over time. We focus on the case where all the model variables have discrete support. Our estimator is simple to compute because it is noniterative, and involves only elementary matrix manipulations. Our estimation method is nonparametric, in that no parametric assumptions on...

The Estimation of Simultaneous Equation Models with Lagged Endogenous Variables and First Order Serially Correlated Errors

In this paper various methods for the estimation of simultaneous equation models with lagged endogenow variables and List order s&fly correlated errors are discussed. The m.&ods dilfer in tbe number of instrumental variables used. The asymptotic and small sample properties of the various metlmds are compared, and the variables which must be included as insuuments to insure consistent estimates ...