This paper tests the usefulness of time-varying parameters when forecasting with mixed-frequency data. For this we compare the forecast performance of bridge equations and unrestriced MIDAS models with constant and time-varying parameters. An out-of-sample forecasting exercise with US real-time...

Preliminary -- Introduction -- Offshoring: Dimensions and Diffusion of a New Business Concept -- Barriers of Purchasing Involvement in Marketing Service Procurement -- A Theoretical Approach to Problems in Buying Agency Services -- Back matter.

Lydia Bals identifies different types of offshoring, concluding that the buy option of offshore outsourcing versus hybrid or make options is directly related to purchasing. Her in-depth analysis specifically focuses on the sourcing of marketing services. In this context, the investigations of...

"Answering the strong call for theory application and development in purchasing and supply management (PSM) and supply chain literature, this Handbook is an essential reference that provides extensive guidance on which theories to apply, how to apply them, and when to build theory. Introductory...

Most macroeconomic series failed to capture the sharp fluctuations during the COVID-19 pandemic. Also, it proved difficult to extract business cycle information from alternative high-frequency data. We present a Bayesian mixed-frequency dynamic factor model with stochastic volatility for...

We propose a Bayesian optimal filtering setup for improving out-of-sample forecasting performance when using volatile high frequency data with long lag structure for forecasting low-frequency data. We test this setup by using real-time Swiss construction investment and construction permit data....