This paper introduces a model of innovation that explains some of the stylized facts presented in recent empirical literature. In the model, firms choose R&D expenditures that maximize their expected profits under the assumption that R&D expenditures of firms might be constrained by the size of their profits. Optimal decisions of firms generate relationships between profitability and innovation of individual firms that may create the observed patterns at the industry level. In particular, the model is able to explain an inverted-U relationship between profitability and innovation in the industry together with decreasing or flat and concave relationships between profitability and the dispersion of productivity in the industry. Additionally, the paper investigates the parameter space for which the model generates the observed relationships.
This paper explores the effect of various contract-awarding procedures in public procurement on the price of the contract. We provide a theoretical model that compares prices in different procedures and tests whether there is a significant price difference between the procedures using data from Czech public procurement. The model predicts that auctions are more efficient than negotiations given the same number of suppliers, and open procedures are more efficient than closed procedures if high-cost firms are selected for the closed procedure. In accordance with the first prediction, we find that open auctions are more efficient than open negotiations. Concerning the second prediction, we find that closed procedures are less efficient than open procedures, which suggests that procurers tend to select relatively more costly firms to participate in closed procedures. Comparing all four awarding procedures, we find that open auctions are the most efficient procedure used in the Czech Republic. We estimate that the inefficiencies due to the use of other contract-awarding procedures are substantial.
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