This paper examines the use of autoregressive distributed lag (ARDL) models for the analysis of long-run relations when the underlying variables are I(1). It shows that after appropriate augmentation of the order of the ARDL model, the OLS estimators of the short-run parameters are p T -consistent with the asymptotically singular covariance matrix, and the ARDL-based estimators of the long-run ...

JEL Classification: F16, F43 This study examines the impacts of CO2 emissions on economic growth of Vietnam for the period 1986-2015 by using Autogressive Distributed Lag (ARDL) model. The results reveal that there is cointegration relationship between CO2 emissions and economic growth. In the long run carbon dioxide emissions have a significant negative impact on Vietnam economic growth. There...

Article history: Received 30 March 2013 Accepted 14 May 2013 Available online xxxx JEL classification: C02 C13 G14

abstract oil export revenues have a major share in both iranian government incomes and gross domestic product (gdp). with regard to the importance of agricultural sector in economic growth, rural development and rural welfare improvement, this sector indubitably influenced by temporary and unexpected shocks in oil export. therefore we employed feder(1982) and auto-regressive distributed lag (ar...

Article history: Received 25 August 2007 Received in revised form 1 December 2008 Accepted 20 January 2009 Available online 25 January 2009 JEL classification: D44 L74 C13

In this paper, we use probabilistic methods of excursion theory for Lévy processes in order to value some exotic options in general exponential Lévy models. AMS 2000 Subject Classification : Primary: 60G51, 91B28, 91B70. JEL Classification: C13.

We modify a previously suggested GMM estimator in a spatial panel regression model by taking into account the difference between disturbances and regression residuals and derive its asymptotic properties. Simulation results and an empirical application to Indonesian rice data illustrate the improvement in finite samples. JEL Classification: C13, C21

We propose a method of moment estimator for a stochastic frontier model in which one of the independent variables is measured with errors. The estimator requires only minimal distributional assumption on the measurement error, has no need for additional data, and is computationally inexpensive. A Monte Carlo study and an empirical example show favorable performances by this estimator. JEL Class...

A finite probability mixture model is combined with a contingent valuation model to analyze the existence of differential market segments in a hypothetical market. The approach has at least two principle benefits. First, the model is capable of identifying market segments within the hypothetical market. Second, the model can be used to estimate WTP/WTA within each segment. The model is illustra...

We analyse the effect of the anonymisation method multiplicative stochastic noise on the within estimation of a linear panel model. In particular, we concentrate on the panel model with serially correlated regressors. In addition to anonymisation as such, the serial correlation in a data set with only few points in time increases the bias of the within estimator and therefore must be taken into...