This study explores the validation of Environmental Kuznets Curve (EKC) hypothesis for Pakistan using time series yearly data 1980-2011. We have taken deforestation as the dependant variable for environmental degradation and four independent variables i.e. income, energy consumption, trade...

This paper aims to highlight the trade imbalance between United States and China based on the analysis of core factors contributing the imbalance. These factors are comprise of trade inequality, exchange rate issue, difference in basic economic structure of both the countries, and methodology of...

Climate Change is one of the biggest challenges the human race is being encountered in this centaury. The continuous rise in average temperature, extreme weather occurrence, occurrence of drought and floods, intensity and frequency of storms, change in precipitation, and so many other identified...

In this paper, we consider the problem of estimating a semiparametric partially linear varying coefficient model. We derive the semiparametric efficiency bound for the asymptotic variance of the finite-dimensional parameter estimator. We also propose an efficient estimator for estimating the...

One of the most popular univariate asymmetric conditional volatility models is the exponential GARCH (or EGARCH) specification. In addition to asymmetry, which captures the different effects on conditional volatility of positive and negative effects of equal magnitude, EGARCH can also...

In times of tight public budgets and deficits, the topic of measuring local government efficiency increasingly becomes important, both for policymakers in the central governments, and for researchers working on the methodology. In this work we focus on measuring the efficiency of Moroccan...

In this paper we introduce a bootstrap procedure to test parameter restrictions in vector autoregressive models which is robust in cases of conditionally heteroskedastic error terms. The adopted wild bootstrap method does not require any parametric specification of the volatility process and...

One puzzling behavior of asset returns for various frequencies is the often observed positive autocorrelation at lag 1. To some extent this can be explained by standard asset pricing models when assuming time varying risk premia. However, one often finds better results when directly fitting an...

Time-varying risk premia traditionally have been associated with the empirical fact that conditional second moments are time-varying. This paper additionally examines another possible source for time-varying risk premia, namely the market price of risk (lambda). For utility functions that do not...

Daily returns of financial assets are frequently found to exhibit positive autocorrelation at lag 1. When specifying a linear AR(l) conditional mean, one may ask how this predictability affects option prices. We investigate the dependence of option prices on autoregressive dynamics under...