This paper proposes a multivariate least squares Mallows averaging approach to the issue of forecast combination by vector autoregressive (VAR) model fitting. Our approach extends the current literature on frequentist least squares model/forecast averaging methods, in particular Hansen (2008),...

Purpose – Indirect or mediated effects constitute a type of relationship between constructs that often occurs in partial least squares path modeling (PLS). Over the past few years, the methods for testing mediation have become more sophisticated. However, many researchers continue to use...

In this paper, we propose a modification of the three-pass regression filter (3PRF) to make it applicable to large mixed frequency datasets with ragged edges in a forecasting context. The resulting method, labeled MF-3PRF, is very simple but compares well to alternative mixed frequency factor...

This study applied panel analysis to determine the factors influencing interest margins in Nigeria using bank-specific, sector-specific and macroeconomic data ranging from 2010:Q1 to 2014:Q2. Based on the Hausman test, a fixed effect model in a generalized form (GLS) was estimated. The result...

This paper proposes new, simple, and more accurate statistical tests in a cointegrated system that allows for endogenous regressors and serially dependent errors. The approach involves first transforming the time series using some orthonormal basis functions in L2[0,1], which has energy...