Showing 1 - 10 of 210
This paper considers estimation and inference concerning the autoregressive coefficient (p) in a panel autoregression … extensive set of new results on the asymptotic behavior of panel IV estimators in weak instrument settings. …
Persistent link: https://www.econbiz.de/10012160749
Missing data or missing values are a common phenomenon in applied panel data research and of great interest for panel … data unit root testing. The standard approach in the literature is to balance the panel by removing units and/or trimming a … common time period for all units. However, this approach can be costly in terms of lost information. Instead, existing panel …
Persistent link: https://www.econbiz.de/10013041203
convergence rate of the QML estimators has not been formally studied, and methods for correcting finite sample bias of the QML … estimators have not been given. This paper fills in these gaps. Of the two, bias correction is particularly important to the … those for the SLD model in terms of the rate of convergence and the magnitude of bias. Monte Carlo results show that the …
Persistent link: https://www.econbiz.de/10011297624
This paper studies an alternative bias correction for the M-estimator, which is obtained by correcting the moment … equations in the spirit of Firth (1993). In particular, this paper compares the stochastic expansions of the analytically-bias …-step bias correction by using the bias correction of moment equations. This finding suggests that the comparison between the one …
Persistent link: https://www.econbiz.de/10011650483
Polynomial specifications are widely used, not only in applied economics, but also in epidemiology, physics, political analysis and psychology, just to mention a few examples. In many cases, the data employed to estimate such specifications are time series that may exhibit stochastic...
Persistent link: https://www.econbiz.de/10010236711
Swamy et al. (2015) argue that valid instruments cannot exist when a structural model is misspecified. This note shows that this is not true in general. In simple examples valid instruments can exist and can help to estimate parameters of interest.
Persistent link: https://www.econbiz.de/10011711090
This paper studies method of simulated moments (MSM) estimators that are implemented using Bayesian methods, specifically Markov chain Monte Carlo (MCMC). Motivation and theory for the methods is provided by Chernozhukov and Hong (2003). The paper shows, experimentally, that confidence intervals...
Persistent link: https://www.econbiz.de/10012642418
The ordinary least squares (OLS) estimator for spatial autoregressions may be consistent as pointed out by Lee (2002), provided that each spatial unit is influenced aggregately by a significant portion of the total units. This paper presents a unified asymptotic distribution result of the...
Persistent link: https://www.econbiz.de/10012295878
This work describes a versatile and readily-deployable sensitivity analysis of an ordinary least squares (OLS) inference with respect to possible endogeneity in the explanatory variables of the usual k-variate linear multiple regression model. This sensitivity analysis is based on a derivation...
Persistent link: https://www.econbiz.de/10012265401
A two-stage simulation-based framework is proposed to derive Identification Robust confidence sets by applying Indirect Inference, in the context of Autoregressive Moving Average (ARMA) processes for finite samples. Resulting objective functions are treated as test statistics, which are inverted...
Persistent link: https://www.econbiz.de/10012265597