A Simple GMM Estimator for the Semi-Parametric Mixed Proportional Hazard Model Ridder and Woutersen (2003) have shown that under a weak condition on the baseline hazard there exist root-N consistent estimators of the parameters in a semiparametric Mixed Proportional Hazard model with a parametric baseline hazard and unspecified distribution of the unobserved heterogeneity. We extend the Linear ...

capital market is one of the most important sectors of every economy. economic growth can lead to capital market boom and development, on the other hand, achieving desired economic growth and development is impossible without efficient financial institution and suitable funding resources. in this study the relationship between financial development and economic growth in opec countries and non-...

This paper considers the bootstrap for the GMM estimator of overidentified linear models when autocorrelation structures of moment functions are unknown. When moment functions are uncorrelated after finite lags, Hall and Horowitz, [1996. Bootstrap critical values for tests based on generalized method of moments estimators. Econometrica 64, 891–916] showed that errors in the rejection probabilit...

This paper proposes a new class of HAC covariance matrix estimators. The standard HAC estimation method re-weights estimators of the autocovariances. Here we initially smooth the data observations themselves using kernel function based weights. The resultant HAC covariance matrix estimator is the normalised outer product of the smoothed random vectors and is therefore automatically positive sem...

This paper examines whether receipt of an RSA grant has a causal impact on plant TFP. To tackle the problem of self-selection into the treatment group, propensity score matching is employed. In order to control for the endogeneity of other variables in the model, estimations are performed using the system GMM estimator. The results show that for low technology manufacturing, receipt of an RSA g...

This paper examines the impact of anticipated and unanticipated monetary policy announcements, of the Bank of England’s Monetary Policy Committee on UK sectoral stock returns. The monetary policy shock is generated from the change in the three-month sterling LIBOR futures contract. Using a panel GMM estimator we find that both the expected and unexpected components of monetary changes are signi...

Missing values are endemic in the data sets available to econometricians. This paper suggests a unified likelihood-based approach to deal with several nonignorable missing data problems for discrete choice models. Our concern is when either the dependent variable is unobserved or situations when both dependent variable and covariates are missing for some sampling units. These cases are also con...

Bertschek and Lechner (1998) propose several variants of a GMM estimator based on the period specific regression functions for the panel probit model. The analysis is motivated by the complexity of maximum likelihood estimation and the possibly excessive amount of time involved in maximum simulated likelihood estimation. But, for applications of the size considered in their study, full likeliho...

Bertschek and Lechner (1998) propose several variants of a GMM estimator based on the period specific regression functions for the panel probit model. The analysis is motivated by the complexity of maximum likelihood estimation and the possibly excessive amount of time involved in maximum simulated likelihood estimation. But, for applications of the size considered in their study, full likeliho...

This paper considers the identi…cation and estimation of network models with agents interacting in multiple activities. We establish the model identi…cation using both linear and quadratic moment conditions. The quadratic moment conditions exploit the covariance structure of individuals’choices in the same and related activities, and facilitate the identi…cation of peer e¤ects when exclusion re...