Disaster risk is a major concern in a developing country like India as people living in disaster prone regions of the country are subject to variety of risks concerning their livelihoods. Preliminary assessments reveal that the severity and intensity of floods in various parts of India might...

This paper uses the methodology of Pearce (1979) and Bhagestani and Noori (2008) to show that the expected rate of inflation by the market participants in Australia is more rational than the household survey forecasts by the Melbourne Institute.

We use the unobserved components model of Harvey (1989 and 2011) to estimate the Phillips curve (PC) for the USA and Australia, by augmenting it with oil prices. We found that the level coefficient of inflation and the coefficient of demand pressure have declined and contributed to the...

This draft is a summary of the paper entitled: Forecasting Fuel Prices with the Chilean Exchange Rate. In that paper we show that the Chilean exchange rate has the ability to predict the returns of oil prices and of three additional oil-related products: gasoline, propane and heating oil. The...

This study suggests a new nonlinear unit root test procedure with Fourier function. In this test procedure, structural breaks are modeled by means of a Fourier function and nonlinear adjustment is modeled by means of an Exponential Smooth Threshold Autoregressive (ESTAR) model. The Monte Carlo...

We develop theoretical finite-sample results concerning the size of wild bootstrap-based heteroskedasticity robust tests in linear regression models. In particular, these results provide an efficient diagnostic check, which can be used to weed out tests that are unreliable for a given testing...

We develop simple and non-asymptotically justified methods for hypothesis testing about the coefficients ($\theta^{*}\in\mathbb{R}^{p}$) in the high dimensional generalized regression models where $p$ can exceed the sample size. Given a function $h:\,\mathbb{R}^{p}\mapsto\mathbb{R}^{m}$, we...

We develop simple and non-asymptotically justified methods for hypothesis testing about the coefficients ($\theta^{*}\in\mathbb{R}^{p}$) in the high dimensional (generalized) regression models where $p$ can exceed the sample size $n$. Given a function $h:\,\mathbb{R}^{p}\mapsto\mathbb{R}^{m}$,...

We develop non-asymptotically justified methods for hypothesis testing about the p-dimensional coefficients in (possibly nonlinear) regression models, where the hypotheses can also be nonlinear in the coefficients. Our (nonasymptotic) control on the Type I and Type II errors holds for fixed n...

In this paper we show that the exchange rates of some commodity exporter countries have the ability to predict the price of spot and future contracts of aluminum. This is shown with both in-sample and out-of-sample analyses. The theoretical underpinning of these results relies on the...