This study analyzes the complementarities between technological and organizational capital within enterprises. Different components of technological and organizational capital exert distinct—and often opposed—forces on each other. Our empirical results show that greater employee voice promotes firm productivity when combined with information technology, but harms firm productivity when combined with communication technology. On the other hand, flexible work design is positively associated with communication technology and negatively associated with information technology.
This study systematically broadens the relevance of possible model performance asymmetries across business cycles in the spirit of the recent state-dependent forecast evaluation literature (e.g. Chauvet & Potter, 2013) to hundreds of macroeconomic indicators and deepens the forecast evaluation of the recent factor model literature on hundreds of target variables (e.g. Stock & Watson, 2012b) in a state-dependent manner. Our results are consistent with both strands of the literature and generalize the former to over 200 macroeconomic indicators and differentiate the latter across three levels of temporal granularity:We document systematic model performance differences in both absolute and relative terms across business cycles (longitudinal) as well as across variable groups (cross-sectional) and find these performance differences to be robust across several alternative specifications. The cross-sectional prevalence and robustness of state dependency shown in this article encourages economic forecasters to complement model performance assessments with a state-dependent evaluation of predictive ability.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.