Marketers call for the examination of more complex functional structures of the links between service evaluation constructs. However, it seems that including and estimating non-additive effects in the structural equation modeling framework is a daunting task. Therefore, marketers need to be...

In this paper, we compare two fundamentally different judgmental demand forecasting approaches used to estimate demand and their corresponding demand distributions. In the first approach, parameters are obtained from a linear regression and maximum likelihood estimation (MLE) based on team...

The authors propose a new approach to simulate the likelihood of the sequential search model. By allowing search costs to be heterogeneous across consumers and products, the authors directly compute the joint probability of the search and purchase decision when consumers are searching for the...

The central idea of this text is to guide researchers through the application of regression modeling when the data under analysis are observed over time. In general, there are no doubts regarding the application of this modeling in cross sections. However, when there is dependence on the data...

Initial Gross Domestic Product (GDP) announcements are important economic signals that convey information on the state of the economy but contain substantial estimation error. We investigate how GDP estimation errors affect firms' real decisions and profitability. Consistent with theoretical...

Micro and small enterprises (MSEs) are important to the local economy and are the most crucial source of employment in Thailand. Using the three-round survey data, we assess the impact of COVID-19 on the survival probability of MSEs in the tourism and manufacturing sectors. Enterprise...

This article evaluates the performance of structural equation models in validating measurement models for hypothetical constructs and deals with specific issues following from the way this methodology is typically applied in scale construction. In particular, controlling for various types of...

This paper develops more accurate and robust baseline sales estimates (sales in the absence of price promotion) using a dynamic linear model (DLM) enhanced with a multiple structural change model (MSCM). We first discuss the value of utilizing aggregated (chain-level) vs. disaggregated...

Consumers' budgets are influenced by the temporal frame used for the budget period. Budgets planned for the next month are much lower than recorded expenses, while those for the next year are closer to recorded expenses (study 1). The difficulty of estimating budgets for the next year imparts...

Product offerings in many consumer packaged goods (CPG) categories come in a variety of complex branding structures built around some discernable branding hierarchy. We develop a nonparametric statistical method in the context of a market response model to estimate the residual equity of each...