The study examines whether the long-run validity of PPP holds in some major advanced and developing economies. The study employed the smooth time-varying cointegration (TVC) and time-varying detrended fluctuation analysis (DFA) methodology, and we are not aware of any study that has applied TVC...

In this paper, we introduce a set of critical values for unit root tests that are robust in the presence of conditional heteroscedasticity errors using the normalizing and variance-stabilizing transformation (NoVaS) and examine their properties using Monte Carlo methods. In terms of the size of...

This paper offers a multifaceted perspective of the literature on long memory. Although the research on long memory has played an instrumental role in elevating the level of scholarly discourse on market efficiency, the authors believe that the issue of the prevalence of long memory or lack...

Swarnajayanti Gram Swarozgar Yojana (SGSY) is a government-sponsored microfinance program. The scheme is based on four features: group lending with joint liability, progressive lending, back-ended subsidy, and social capital. We propose a new model of SGSY having these features: group lending...

This paper empirically examines the long-run pass through of the official exchange rates into trade balance in Nigeria by means of threshold cointegration and asymmetric error correction modeling. The study provides evidence for non-linear cointegration between our variables of interest. The...

We estimate the steady state growth rate for the Nordic countries using a “knowledge economy” approach. An endogenous growth framework is employed, in which total factor productivity is a function of human capital (measured by average years of education), trade openness, research and...

This paper places the data revision model of Jacobs and van Norden (2011) within a class of trend-cycle decompositions relating directly to the Beveridge-Nelson decomposition. In both these approaches identifying restrictions on the covariance matrix under simple and realistic conditions may...

We estimate a Factor Augmented Vector autoregression (FAVAR) to identify idiosyncratic exchange rate shocks and examine the effects of these shocks on different sectors of the economy. We find that an unexpected shock to the exchange rate has significant effects on the tradable sector of the...

Seasonality in macroeconomic time series can obscure movements of other components in a series that are operationally more important for economic and econometric analyses. Indeed, in practice one often prefers to work with seasonally adjusted data to assess the current state of the economy and...

Multivariate analysis can help to focus on economic phenomena, including trend and cyclical movements. To allow for potential correlation with seasonality, the present paper studies a three component multivariate unobserved component model, focusing on the case of quarterly data and showing that...