During the past few decades, the interest of economists in the sources of long-term economic growth has led an increasing number of them to focus on the role of innovation in creating that growth. Although some researchers have always been interested in this topic, the groundbreaking work of Solow (1957), Nelson (1959) and Arrow (1962) made many other economists recognize the central role played by innovation in almost all spheres of economic activity. The Economics and Econometrics of Innovation presents a valuable overview of the work of the world's most renowned experts in the field of innovation and technical change. It collects 22 outstanding contributions that reflect the results of the vast, worldwide research efforts and remind us of the importance of economic incentives in shaping and directing innovative activities. The volume presents an edited selection of papers that were first presented at the 10th International ADRES conference. One particular goal of this book is to bring out the complementary nature of the various approaches to innovation, and to facilitate in-depth dialogues both between microeconomists and macroeconomists, and between theoreticians and econometricians. General topics that are considered range from the economy-wide effects of innovation on growth and employment to the variation of individual firm innovative performance; from the analysis of networks and standardization to the role of intellectual property rights and the assessment of knowledge spillovers. Besides the wealth of information presented in the chapters, readers of this volume will also appreciate the value of examining a single question from different angles and by using different methods.

7 take advantage of the panel structure of their data to control for possible errors of specifica­ tion in their models. It is interesting to note that the econometric and DEA methods may be closer than some of their respective advocates seem to believe. Several of the studies show that the former as well as the latter can be effectively used to assess the relative effi­ ciency of groups of firms or individual firms, and one of them explicitly compare results arising from both (Fecher et al.). Econometric techniques can also be nonparametric and applied to estimating cost or production frontiers (and not only "average" functions), while ultimately DEA should be amenable to statistical inference. Perhaps the most valuable feature of all the analyses is their care and ingenuity in putting together the data, measuring variables, and pulling out relevant information. Many of them are not content with an overall output measure, but endeavor to manage with less aggregated measures. Nearly all also include in the estimated models a number of auxiliary variables intended to control for specific attributes of outputs, inputs, or production techniques, and other characteristics of firms.

During the past few decades, the interest of economists in the sources of long-term economic growth has led an increasing number of them to focus on the role of innovation in creating that growth. Although some researchers have always been interested in this topic, the groundbreaking work of Solow (1957), Nelson (1959) and Arrow (1962) made many other economists recognize the central role played by innovation in almost all spheres of economic activity. The Economics and Econometrics of Innovation presents a valuable overview of the work of the world's most renowned experts in the field of innovation and technical change. It collects 22 outstanding contributions that reflect the results of the vast, worldwide research efforts and remind us of the importance of economic incentives in shaping and directing innovative activities. The volume presents an edited selection of papers that were first presented at the 10th International ADRES conference. One particular goal of this book is to bring out the complementary nature of the various approaches to innovation, and to facilitate in-depth dialogues both between microeconomists and macroeconomists, and between theoreticians and econometricians. General topics that are considered range from the economy-wide effects of innovation on growth and employment to the variation of individual firm innovative performance; from the analysis of networks and standardization to the role of intellectual property rights and the assessment of knowledge spillovers. Besides the wealth of information presented in the chapters, readers of this volume will also appreciate the value of examining a single question from different angles and by using different methods.

During the past few decades, the interest of economists in the sources of long-term economic growth has led an increasing number of them to focus on the role of innovation in creating that growth. Although some researchers have always been interested in this topic, the groundbreaking work of Solow (1957), Nelson (1959) and Arrow (1962) made many other economists recognize the central role played by innovation in almost all spheres of economic activity. The Economics and Econometrics of Innovation presents a valuable overview of the work of the world''s most renowned experts in the field of innovation and technical change. It collects 22 outstanding contributions that reflect the results of the vast, worldwide research efforts and remind us of the importance of economic incentives in shaping and directing innovative activities. The volume presents an edited selection of papers that were first presented at the 10th International ADRES conference. One particular goal of this book is to bring out the complementary nature of the various approaches to innovation, and to facilitate in-depth dialogues both between microeconomists and macroeconomists, and between theoreticians and econometricians. General topics that are considered range from the economy-wide effects of innovation on growth and employment to the variation of individual firm innovative performance; from the analysis of networks and standardization to the role of intellectual property rights and the assessment of knowledge spillovers. Besides the wealth of information presented in the chapters, readers of this volume will also appreciate the value of examining a single question from different angles and by using different methods.

7 take advantage of the panel structure of their data to control for possible errors of specifica­ tion in their models. It is interesting to note that the econometric and DEA methods may be closer than some of their respective advocates seem to believe. Several of the studies show that the former as well as the latter can be effectively used to assess the relative effi­ ciency of groups of firms or individual firms, and one of them explicitly compare results arising from both (Fecher et al.). Econometric techniques can also be nonparametric and applied to estimating cost or production frontiers (and not only "average" functions), while ultimately DEA should be amenable to statistical inference. Perhaps the most valuable feature of all the analyses is their care and ingenuity in putting together the data, measuring variables, and pulling out relevant information. Many of them are not content with an overall output measure, but endeavor to manage with less aggregated measures. Nearly all also include in the estimated models a number of auxiliary variables intended to control for specific attributes of outputs, inputs, or production techniques, and other characteristics of firms.

During the past few decades, the interest of economists in the sources of long-term economic growth has led an increasing number of them to focus on the role of innovation in creating that growth. Although some researchers have always been interested in this topic, the groundbreaking work of Solow (1957), Nelson (1959) and Arrow (1962) made many other economists recognize the central role played by innovation in almost all spheres of economic activity. The Economics and Econometrics of Innovation presents a valuable overview of the work of the world's most renowned experts in the field of innovation and technical change. It collects 22 outstanding contributions that reflect the results of the vast, worldwide research efforts and remind us of the importance of economic incentives in shaping and directing innovative activities. The volume presents an edited selection of papers that were first presented at the 10th International ADRES conference. One particular goal of this book is to bring out the complementary nature of the various approaches to innovation, and to facilitate in-depth dialogues both between microeconomists and macroeconomists, and between theoreticians and econometricians. General topics that are considered range from the economy-wide effects of innovation on growth and employment to the variation of individual firm innovative performance; from the analysis of networks and standardization to the role of intellectual property rights and the assessment of knowledge spillovers. Besides the wealth of information presented in the chapters, readers of this volume will also appreciate the value of examining a single question from different angles and by using different methods.

7 take advantage of the panel structure of their data to control for possible errors of specifica­ tion in their models. It is interesting to note that the econometric and DEA methods may be closer than some of their respective advocates seem to believe. Several of the studies show that the former as well as the latter can be effectively used to assess the relative effi­ ciency of groups of firms or individual firms, and one of them explicitly compare results arising from both (Fecher et al.). Econometric techniques can also be nonparametric and applied to estimating cost or production frontiers (and not only "average" functions), while ultimately DEA should be amenable to statistical inference. Perhaps the most valuable feature of all the analyses is their care and ingenuity in putting together the data, measuring variables, and pulling out relevant information. Many of them are not content with an overall output measure, but endeavor to manage with less aggregated measures. Nearly all also include in the estimated models a number of auxiliary variables intended to control for specific attributes of outputs, inputs, or production techniques, and other characteristics of firms.

During the past few decades, the interest of economists in the sources of long-term economic growth has led an increasing number of them to focus on the role of innovation in creating that growth. Although some researchers have always been interested in this topic, the groundbreaking work of Solow (1957), Nelson (1959) and Arrow (1962) made many other economists recognize the central role played by innovation in almost all spheres of economic activity. The Economics and Econometrics of Innovation presents a valuable overview of the work of the world's most renowned experts in the field of innovation and technical change. It collects 22 outstanding contributions that reflect the results of the vast, worldwide research efforts and remind us of the importance of economic incentives in shaping and directing innovative activities. The volume presents an edited selection of papers that were first presented at the 10th International ADRES conference. One particular goal of this book is to bring out the complementary nature of the various approaches to innovation, and to facilitate in-depth dialogues both between microeconomists and macroeconomists, and between theoreticians and econometricians. General topics that are considered range from the economy-wide effects of innovation on growth and employment to the variation of individual firm innovative performance; from the analysis of networks and standardization to the role of intellectual property rights and the assessment of knowledge spillovers. Besides the wealth of information presented in the chapters, readers of this volume will also appreciate the value of examining a single question from different angles and by using different methods.

During the past few decades, the interest of economists in the sources of long-term economic growth has led an increasing number of them to focus on the role of innovation in creating that growth. Although some researchers have always been interested in this topic, the groundbreaking work of Solow (1957), Nelson (1959) and Arrow (1962) made many other economists recognize the central role played by innovation in almost all spheres of economic activity. The Economics and Econometrics of Innovation presents a valuable overview of the work of the world''s most renowned experts in the field of innovation and technical change. It collects 22 outstanding contributions that reflect the results of the vast, worldwide research efforts and remind us of the importance of economic incentives in shaping and directing innovative activities. The volume presents an edited selection of papers that were first presented at the 10th International ADRES conference. One particular goal of this book is to bring out the complementary nature of the various approaches to innovation, and to facilitate in-depth dialogues both between microeconomists and macroeconomists, and between theoreticians and econometricians. General topics that are considered range from the economy-wide effects of innovation on growth and employment to the variation of individual firm innovative performance; from the analysis of networks and standardization to the role of intellectual property rights and the assessment of knowledge spillovers. Besides the wealth of information presented in the chapters, readers of this volume will also appreciate the value of examining a single question from different angles and by using different methods.

7 take advantage of the panel structure of their data to control for possible errors of specifica­ tion in their models. It is interesting to note that the econometric and DEA methods may be closer than some of their respective advocates seem to believe. Several of the studies show that the former as well as the latter can be effectively used to assess the relative effi­ ciency of groups of firms or individual firms, and one of them explicitly compare results arising from both (Fecher et al.). Econometric techniques can also be nonparametric and applied to estimating cost or production frontiers (and not only "average" functions), while ultimately DEA should be amenable to statistical inference. Perhaps the most valuable feature of all the analyses is their care and ingenuity in putting together the data, measuring variables, and pulling out relevant information. Many of them are not content with an overall output measure, but endeavor to manage with less aggregated measures. Nearly all also include in the estimated models a number of auxiliary variables intended to control for specific attributes of outputs, inputs, or production techniques, and other characteristics of firms.