Brand awareness remains fundamental to consumer life as the interaction initiation point to the brands. This paper put forwards the relationship of brand awareness on consumer/brand loyalty in the packaged milk brands in the urban Pakistan. There is evidence of brand awareness and consumer/brand...

9-ending prices are a dominant feature of many retail settings, which according to the existing literature, is because consumers perceive them as being relatively low. Are 9-ending prices really lower than comparable non 9-ending prices? Surprisingly, the empirical evidence on this question is...

In this paper, we propose an alternative method that applies the model reduction techniques to the VAR framework when the number of variables is sufficiently large. The relevance of the model reduction in the VAR and SVAR systems comes from that the new trajectories preserve the qualitative...

Accurate network data are essential in fields such as economics, finance, sociology, epidemiology, and computer science. However, real-world constraints often prevent researchers from collect- ing a complete adjacency matrix, compelling them to rely on partial or aggregated information. One...

This paper proposes a new method to estimate dynamic panel data models with spatially dependent errors that allows for known/unknown group-specific patterns of slope heterogeneity. Analysis of this model is conducted in the framework of composite quasi-likelihood (CL) maximization. The proposed...

This paper proposes a novel method to estimate large panel data error-correction models with stationary/non-stationary covariates and spatially dependent errors, which allows for known/unknown group-specific patterns of slope heterogeneity. Analysis is based on composite quasi-likelihood (CQL)...

We present a factor augmented forecasting model for assessing the financial vulnerability in Korea. Dynamic factor models often extract latent common factors from a large panel of time series data via the method of the principal components (PC). Instead, we employ the partial least squares (PLS)...

This paper provides methods for flexibly capturing unobservable heterogeneity from longitudinal data in the context of an exponential family of distributions. The group memberships of individual units are left unspecified, and their heterogeneity is influenced by group-specific unobservable...

We study the economics and finance scholars’ reaction to the 2008 financial crisis using machine learning language analyses methods of Latent Dirichlet Allocation and dynamic topic modelling algorithms, to analyze the texts of 14,270 NBER working papers covering the 1999–2016 period. We find...

This paper proposes maximum (quasi)likelihood estimation for high dimensional factor models with regime switching in the loadings. The model parameters are estimated jointly by EM algorithm, which in the current context only requires iteratively calculating regime probabilities and principal...