This volume discusses the latest techniques and their economic applications for modern industries like computer, pharmaceutical, banking and other manufacturing. Both econometric and mathematical programming techniques are analyzed so as to develop a synthetic approach.

Econometrics as an applied discipline attempts to use information in a most efficient manner, yet the information theory and entropy approach developed by Shannon and others has not played much of a role in applied econometrics. Econometrics of Information and Efficiency bridges the gap.
Broadly viewed, information theory analyzes the uncertainty of a given set of data and its probabilistic characteristics. Whereas the economic theory of information emphasizes the value of information to agents in a market, the entropy theory stresses the various aspects of imprecision of data...

Data envelopment analysis develops a set of nonparametric and semiparametric techniques for measuring economic efficiency among firms and nonprofit organizations. Over the past decade this technique has found most widespread applications in public sector organizations. However these applications have been mostly static. This monograph extends this static framework of efficiency analysis in several new directions. These include but are not limited to the following: (1) a dynamic view of the production and cost frontier, where capital inputs are treated differently from the current inputs, (2)...

Jati K. Sengupta examines the market dynamics of the evolution of industry and the impact of new technology with R&D and knowledge capital. The book builds the theory of innovations in the contexts of the high-tech industries of today such as computing and telecommunications.

This book presents the main applied aspects of stochas- tic optimization in economic models. Stochastic processes and control theory are used under optimization to illustrate the various economic implications of optimal decision rules. Unlike econometrics which deals with estimation, this book emphasizes the decision-theoretic basis of uncertainty specified by the stochastic point of view. Methods of ap- plied stochastic control using stochastic processes have now reached an exciti g phase, where several disciplines like systems engineering, operations research and natural reso- ces interact...

This book extends the dynamic and stochastic analysis of economic efficiency by using the recent techniques of data envelopment analysis.

New results and applications of these techniques in numerous areas of economics, finance and management are provided, including treatment of private sector industries, portfolio models in finance, quality control techniques in managerial performance, the role of market competition, policy applications in investment models in finance, risk aversion and efficiency, and technology and innovation.

The most up-to-date tools of efficiency analysis developed...

This book examines India's new economy - its strengths, weaknesses and potential. The book covers three key areas of growth in India's economy - the IT (information technology) sector, export trade (with its externality effects) and the financial sector (in particular, banking reforms).

The dynamics of industry growth, technology and globalization have a dramatic impact on the current economic growth of nations, significantly changing the market structure and world trade, and challenging the competitive equilibrium and their guiding principles. In the world of innovations and spill-over of R&D effects, various forms of non-competitive market structures have evolved in recent times. This book analyzes the new paradigm of change in technology intensive industries, with an emphasis in three main areas; non-parametric models of growth, sources of industry growth and...