GMM Estimation with persistent panel data: an application to production functions
نویسندگان
چکیده
منابع مشابه
Gmm Estimation with Persistent Panel Data: an Application to Production Functions
This paper considers the estimation of Cobb-Douglas production functions using panel data covering a large sample of companies observed for a small number of time periods. GMM estimators have been found to produce large finite-sample biases when using the standard first-differenced estimator. These biases can be dramatically reduced by exploiting reasonable stationarity restrictions on the init...
متن کاملConsistent model and moment selection procedures for GMM estimation with application to dynamic panel data models
This paper develops consistent model and moment selection criteria for GMM estimation. The criteria select the correct model speci"cation and all correct moment conditions asymptotically. The selection criteria resemble the widely used likelihoodbased selection criteria BIC, HQIC, and AIC. (The latter is not consistent.) The GMM selection criteria are based on the J statistic for testing over-i...
متن کاملGMM Estimation of Autoregressive Roots Near Unity with Panel Data
This paper investigates a generalized method of moments (GMM) approach to the estimation of autoregressive roots near unity with panel data and incidental deterministic trends. Such models arise in empirical econometric studies of Þrm size and in dynamic panel data modeling with weak instruments. The two moment conditions in the GMM approach are obtained by constructing bias corrections to the ...
متن کاملEstimation 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 کاملPanel Data Nonparametric Estimation of Production Risk and Risk Preferences: An Application to Polish Dairy Farms
We apply nonparametric panel data kernel regression to investigate production risk, output price uncertainty, and risk attitudes of Polish dairy farms based on a firm-level unbalanced panel data set that covers the period 2004–2010. We compare different model specifications and different approaches for obtaining firm-specific measures of risk attitudes. We found that Polish dairy farmers are ri...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Econometric Reviews
سال: 2000
ISSN: 0747-4938,1532-4168
DOI: 10.1080/07474930008800475