in this paper, using kakwani-son method, price elasticity of poverty is calculated for taxed edible goods in the year 2004. this elasticity shows the total effect of price changes on poverty. the total effect is the sum of redistribution and income effects of price change. in fact, the redistribution effect tells us whether an increase in the price of a commodity hurts the poor more than the ri...

In an effort to improve the small sample properties of generalized method of moments (GMM) estimators, a number of alternative estimators have been suggested. These include empirical likelihood (EL), continuous updating, and exponential tilting estimators. We show that these estimators share a common structure, being members of a class of generalized empirical likelihood (GEL) estimators. We us...

In an effort to improve the small sample properties of generalized method of moments (GMM) estimators, a number of alternative estimators have been suggested. These include empirical likelihood (EL), continuous updating, and exponential tilting estimators. We show that these estimators share a common structure, being members of a class of generalized empirical likelihood (GEL) estimators. We us...

In this paper, we propose a method based on GMM (the generalized method of moments) to estimate the parameters of stable distributions with 0 < α < 2. We don’t assume symmetry for stable distributions. AMS 2000 Mathematics Subject Classification: Primary 62H12; Secondary 62F12, 62H12

We propose a class of new robust Generalized Method of Moments (GMM) tests for endogenous structural breaks. The tests are based on supremum, average and exponential functionals derived from robust GMM estimators with bounded influence function. We study the theoretical local robustness properties of the new tests and show that they imply a uniformly bounded asymptotic sensitivity of size and p...

As machine learning techniques become more popular and computers become capable of storing and processing large quantities of data, there have been many recent efforts to incorporate such techniques into structural econometric models. My research aims to extend this literature by introducing the techniques of regularization and classification (from machine learning) into Generalized Method of M...

The chapter discusses generalized method of moments (GMM) estimation methods for spatial models. Much of the discussion is on GMM estimation of Cliff-Ord-type models where spatial interactions are modeled in terms of spatial lags. The chapter also discusses recent developments on GMM estimation from data processes which are spatially α-mixing. I.R. Prucha Department of Economics, University of ...

This paper proposes a simple test for global identi…cation of Generalized Method of Moments (GMM) estimators in models de…ned by conditional moment restrictions. The test is based on comparing two estimators, one which is always consistent, even under global identi…cation failure of the unconditional model, and the GMM estimator. It is shown that the test is able to detect Pitman alternatives, ...

this study is an attempt to develop a model of the simultaneous structure of the aggregate dynamic supply and demand to be used for estimation of parameters from data related to iran’s economy. the method for developing the model is an application of the dynamic and simultaneous process of aggregate supply and demand. obtained differential equations are used for solve the model. to estimate the...