We model a country's de jure exchange rate policy as the choice from a multinomial logit response conditioned on the volatility of its bilateral exchange rate, the volatility of its international reserves, and the volatility of its effective exchange rate. The category with the highest...

We propose an econometric procedure for obtaining de facto exchange rate regime classifications which we apply to study the relationship between exchange rate regimes and economic growth. Our classification method models the de jure regimes as outcomes of a multinomial logit choice problem...

Summary This paper explores how the choice of a country's exchange rate regime may affect exchange rate misalignment for developing and developed countries. A measure of misalignment is obtained by using a panel cointegration vector estimator. This paper finds that for developing countries, an...

This paper examines the vertical integration issue of the electricity industry. This industry is typically vertically integrated and heavily regulated. The paper investigates the potential technological efficiency loss due to the vertical disintegration using the translog production function....

A new estimation technique is proposed to deal with missing response variables in the context of a nested multinomial logit model. Survey data often have a significant number of incomplete or missing responses. If such data are systematically missing (i.e. not missing at random) and if such...

This paper proposes a different empirical approach to estimate the UIP by analyzing a large number of cross-country bilateral exchange rates using cross-section analysis. Different from conventional time-series UIP, cross-sectional UIP is examined with single equation estimation and panel...

This paper proposes a new test statistic to deter the presence of heteroskedasticity. The proposed test does not require a parametric specification of the mean regression function in the first stage regression. The regression function is estimated nonparametrically by the kernel estimation...