exchange rate and national income of countries trading with each other are among the most important factors affecting each country's trade. considering the political and economic ties between iran and venezuela in recent years, the goal of this paper was to investigate the effect of exchange rate volatility on exports of iran to venezuela. data used in this research include annual data for...

This study uses the Autoregressive Distributed Lag (ARDL) model to study the dynamic determinant factors that influence both long and short-term international tourism demand in Cambodia from 12 countries. The annual time series data (1994–2013) are used in this study. The study finds that only the international tourism demand model of Australia, Canada, Thailand, the United Kingdom, and USA are...

In this paper, we use the adaptive lasso estimator to choose the relevant instruments and eliminate the irrelevant instruments. The limit theory of Zou (2006) is extended from univariate iid case to heteroskedastic and non Gaussian data. Then we use the selected instruments in generalized empirical likelihood estimators (GEL). In this sense, these are called hybrid GEL. It is also shown that th...

This article reports Monte Carlo results on the simulated maximum likelihood estimation of discrete panel statistical models. Among them are Markov, Generalized Poly, Renewal, and Habit Persistence Models with or without unobserved heterogeneity and serially correlated disturbances. We investigate statistical properties and computational performance of simulated maximum likelihood methods and a...

This article attempts to investigate the potential relationship and significance of various determinants Total Factor Productivity (TFP) in India for 1980–2016 time period. Specifically, this is achieved two stages. In first, standard growth accounting approach used measure changes TFP. Then, main model establishing TFP estimated using autoregressive distributed lag (ARDL) model. Our results su...

We consider a generalized regression model with a partially linear index. The index contains an additive nonparametric component in addition to the standard linear component, and the model’s dependent variable is transformed by a unknown monotone function. We propose weighted rank estimation procedures for estimating (i) the coe¢ cients for the linear component, (ii) the nonparametric component...

I develop a new empirical model for discrete games and apply it to study the release date timing game played by distributors of movies. The results suggest that release dates of movies are too clustered around big holiday weekends and that box office revenues would increase if distributors shifted some holiday releases by one or two weeks. The proposed game structure could be applied more broad...

This paper shows that volatility persistence in GARCH models and spurious long memory in autoregressive models may arise if the possibility of structural changes is not incorporated in the time series model. It also describes a tractable hidden Markov model in which regression parameters and error variances may undergo abrupt changes at unknown time points, while staying constant between adjace...

This paper provides estimators of discrete choice models, including binary, ordered, and multinomial response (choice) models. The estimators closely resemble ordinary and two stage least squares. The distribution of the model’s latent variable error is unknown and may be related to the regressors, e.g., the model could have errors that are heteroscedastic or correlated with regressors. The est...