This paper introduces dynamics in the R&D to innovation and innovation to productivity relationships, which have mostly been estimated on cross-sectional data. It considers four nonlinear dynamic simultaneous equations models that include individual effects and idiosyncratic errors correlated...

This paper introduces dynamics in the R&D to innovation and innovation to productivity relationships, which have mostly been estimated on cross-sectional data. It considers four nonlinear dynamic simultaneous equations models that include individual effects and idiosyncratic errors correlated...

After joining the World Trade Organization (WTO), China witnessed a major inflow of Foreign Direct Investment (FDI). Many famous automobile firms of developed countries were attracted to invest in China to cooperate with domestic firms. This paper uses firm-level data of the Chinese automobile...

After joining the World Trade Organization (WTO), China witnessed a major inflow of Foreign Direct Investment (FDI). Many famous automobile firms of developed countries were attracted to invest in China to cooperate with domestic firms. This paper uses firm-level data of the Chinese automobile...

Using a large dataset of over 100,000 Chinese firms created between 2000 and 2006, we explore whether there is a link between innovation effort (R&D) or innovation output (the share of innovative sales) and the firm's duration of survival. We estimate a complementary log-log model with...

This paper studies the dynamic relationship between input and output of innovation in Dutch manufacturing using an unbalanced panel of enterprise data from five waves of the Community Innovation Survey during 1994-2004. We estimate by maximum likelihood a dynamic panel data bivariate tobit with...

This paper studies the dynamic relationship between input and output of innovation in Dutch manufacturing using an unbalanced panel of enterprise data from five waves of the Community Innovation Survey during 1994-2004. We estimate by maximum likelihood a dynamic panel data bivariate tobit with...

This paper studies the dynamic relationship between input and output of innovation in Dutch manufacturing using an unbalanced panel of enterprise data from five waves of the Community Innovation Survey during 1994-2004. We estimate by maximum likelihood a dynamic panel data bivariate tobit with...

This paper studies the persistence of innovation and the dynamics of innovation output in Dutch manufacturing using firm data from three waves of the Community Innovation Surveys (CIS), pertaining to the periods 1994-1996, 1996-1998, and 1998-2000. We estimate by maximum likelihood a dynamic...

This paper proposes a framework to account for innovation similar to the usual accounting framework in production analysis and a measure of innovativity comparable to that of total factor productivity. This innovation accounting framework is illustrated using micro-aggregated firm data from the...