Expend, a Gauss programme for non-linear GMM estimation of EXPonential models with ENDogenous regressors for cross section and panel data models

نویسنده

  • Frank Windmeijer
چکیده

ExpEnd is a Gauss programme for non-linear generalised method of moments (GMM) estimation of exponential models with endogenous regressors for cross section and panel data. The estimators included in this package are simple Poisson pseudo ML; GMM for cross section data using moment conditions based on multiplicative or additive errors; within groups fixed effects Poisson for panel data; GMM estimation using quasi-differenced moment conditions eliminating unobserved heterogeneity and allowing for predetermined or endogenous regressors; and quasi-differenced GMM for a dynamic linear feedback model. This manual describes in detail the various estimators, the data and software requirements, and the programme commands. The programme can be downloaded from http://cemmap.ifs.org.uk/wps/expend.zip.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Simple Endogenous Binary Choice and Selection Panel Model Estimators

This paper provides numerically trivial estimators for short panels of either binary choices or of linear models that suffer from confounded, missing not at random sample selection. The estimators allow for Þxed effects, endogenous regressors, weakly exogenous regressors, and heterokedastic errors with unknown distribution. The estimators, which converge at rate root n, are based on variants of...

متن کامل

Estimation of Linear Panel Data Models Using Gmm

In this chapter we study GMM estimation of linear panel data models. Several different types of models are considered, including the linear regression model with strictly or weakly exogenous regressors, the simultaneous regression model, and a dynamic linear model containing a lagged dependent variable as a regressor. In each case, different assumptions about the exogeneity of the explanatory v...

متن کامل

مقایسه مدل‌های تجربی برآورد تغذیه‌ی پتانسیل آب‌های زیرزمینی در منطقه‌ای نیمه‌خشک با به‌کارگیری داده‌های لایسیمتری

In the present research, the performances of six empirical models, i.e., simple threshold exceedance, fixed proportion exceedance, quadratic function of storage, power function of storage, cubic function of storage, and exponential function of storage were investigated for estimation of groundwater potential recharge in a semi-arid region. First, the FAO Dual Crop procedure was used to calibrat...

متن کامل

Panel Growth Regressions with General Predetermined Variables: Likelihood-Based Estimation and Bayesian Averaging

In this paper I estimate empirical growth models simultaneously considering endogenous regressors and model uncertainty. In order to apply Bayesian methods such as Bayesian Model Averaging (BMA) to dynamic panel data models with predetermined or endogenous variables and fixed effects, I propose a likelihood function for such models. The resulting maximum likelihood estimator can be interpreted ...

متن کامل

Some estimators for dynamic panel data sample selection and switching models

We present estimators for panel data sample selection and switching models where the regression equations are dynamic and it is allowed for the existence of endogenous regressors and correlated individual unobserved heterogeneity. We consider two types of switching models under the names of observed dynamics switching and latent dynamics switching. The dynamic sample selection model implicitly ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2002