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Econometrics

Some methods that paitly cope with the above mentioned problem have been proposed in the literature. The subject has been treated in areas like Cheraometrics, Econometrics etc, giving rise for example to the methods Partial Least Squares, PLS, Ridge Regression, RR, and Principal Component Regression, PCR [2]. In this work we have chosen to illustrate the multivariable approach using PCR as our regression tool, mainly because it has a relatively easy interpretation. The basic idea of PCR is described below. [Pg.888]

A Zellner. An Introduction to Bayesian Inference in Econometrics. New York Wiley, 197L I Zhu, IS Em, CE Lawrence. Bayesian adaptive sequence alignment algorithms. Bioinformat-ics 14 25 -39, 1998. [Pg.345]

SAS/ETS, Statistical Analysis System Econometrics and Time Series. SAS Institute, Cary, North Carolina, 1983. [Pg.489]

Method The authors use information on all non-hospital sales of pharmaceutical products in 1992 in a sample of countries consisting of the USA, Canada, Germany, France, Italy, Japan and the UK. The database was provided by Intercontinental Medical Systems (IMS). The empirical analysis is based on the calculation of the Paasche and Laspeyres price indexes and the ratio between them. The descriptive analysis is completed with the econometric analysis (quasi-hedonic model) of the determining factors of the variation in the relative prices of each active ingredient in each country taking the USA as the point of comparison. [Pg.54]

There is some controversy in the theoretical literature about the relationship between health insurance and efficiency. Puig-Junoy3 has conducted an excellent review of this issue. The scope of the welfare loss associated with health insurance has also been the object of empirical research with econometric procedures. [Pg.127]

In the case of chronic processes, the patient can, at any time, take the decision to stop the treatment, as a reaction to changes in price or other variables. Whereas the econometric technique for analysing the demand for pharmaceuticals for acute processes is that of discrete choice models, here we will apply duration or survival models. In addition, the technology of drags for chronic diseases can have non-constant returns to scale. For example, the consumption of anxiolytics raises the tolerance and reduces the effect, resulting in an increase in the necessary dose. [Pg.136]

Roche J (1995) Forecasting Commodity Markets Using Technical Fundamental and Econometric Analysis, Probus, London... [Pg.275]

For such kinds of analysis, four different methodological approaches are normally used for analysis in the energy sector input-output, general equilibrium, system dynamics and econometric models. [Pg.529]

Similar data evaluation problems exist in other scientific fields and can also be treated by multivariate statistical data analysis, for instance, in economics (econometrics), sociology, psychology (psychometrics), medicine, biology (chemotaxonomy),... [Pg.15]

J. R. Magnus and H. Neudecker, Matrix Differential Calculus with Applications in Statistics and Econometrics, Wiley, Chichester, 1988. [Pg.474]

Algebraic Geometry Antenna Theory Celestial Mechanics Computer-Aided Design Control Theory Deformation Analysis Econometrics... [Pg.103]

Kloek T, Van Dijk HK. 1978. Bayesian estimates of equation system parameters an application of integration by Monte Carlo. Econometrics 46 1-20. [Pg.68]

Hall and van Reenen (2000) surveyed the econometric evidence on the effectiveness of hscal incentives for R D. They described the effects of tax systems in OECD countries on the user cost of R D - the current position, changes over time, and across different firms in different countries. They concluded that a dollar in tax credit for R D stimulates a dollar of additional R D. [Pg.141]

The analyses reviewed thus far are all observational studies using econometric procedures. In contrast, Kravitz et al. (2005) examined prescribing behavior of antidepressant drugs in a randomized controlled trial setting. Mostly professional actors, middle-aged, white, nonobese women, called standardized patients, were trained to depict to physicians two types of patients with differing severity of symptoms one with symptoms of major depression of moderate severity, and the other having an adjustment disorder with depressed mood. [Pg.185]

Lichtenberg, Frank R. 2003c. The Benefits to Society of New Drugs A Survey of the Econometric Evidence. Proceedings of the Federal Reserve Bank of Dallas (September) 43-59. [Pg.307]

Hoch JS, Briggs AH, Willan AR. Something old, something new, something borrowed, something blue a framework for the marriage of health econometrics and cost-effectiveness analysis. Health Econ 2002 11 415-30. [Pg.54]

Haavelmo, T. (1944) The probability approach in econometrics, Econometrica (supplement) 12,1-118. [Pg.264]

Clearly, econometric models must be redeveloped to show how policy changes will transform the economic structure of the economy and how this structural transformation will result in new trends. [Pg.118]

The data base for these new econometric models must include not only management s historical responses to past policies and economic conditions, but management s anticipated responses to future policies and economic conditions. [Pg.118]

Use of the equilibrium results to develop new transactions tables for an energy/materials microcosm of the economy showed a serious economic shortcoming of both policy alternatives. As modeled, the President s policy and the Advisory Council s policy would increase, rather than decrease, the direct plus indirect input requirements of the three basic conversion industries (petroleum refining, electric power, basic chemicals) from petroleum mining sources. Also, both policy recommendations would decrease, rather than increase, the direct plus indirect input requirements of these three industries from the coal mining sector. This economic implications, which evidently was not captured by state-of-the-art econometric models, means that neither policy recommendation is sufficient to transition the economy from petroleum to alternate energy resources see Thompson (7). [Pg.124]

New York University, performed an econometric study on the return on the chemical industry s R D investment. [Pg.8]

Vol. 538 S. Kokot, The Econometrics of Sequential Trade Models. XI, 193 pages. 2004. [Pg.244]

Dong L.B. (2004). The Behrens-Fisher Problem An Empirical Likelihood Approach. Econometrics Working Paper EWP0404, University of Victoria, Victoria, Canada, 30 pp. [Pg.524]

All of the studies reviewed here except Danielson et al. (1993), Morrison et al. (1994), and Pike et al. (1994) use some version of the aggregate economic model known as AGSIM (Techsim, AGSIM-1, AGSIM-2) developed by C. Robert Taylor (Taylor, 1993) at Auburn University. This is a 10-region, econometric-simulation model of the supply and demand for major field crops and livestock products in the United States (Taylor, 1993) and has been used to assess many pesticide cancellation scenarios and other national policies that affect agricultural production and demand. [Pg.157]

Taylor, C.R. (1993). A description of AGSIM An econometric-simulation model of regional crop and national livestock production in the United States. In C.R. Taylor, K. Reichelderfer, and S. Johnson, eds., Agricultural Sector Models for the United States Description and Selected Policy Applications. Ames, Iowa Iowa State University Press. [Pg.162]

The aim of applying mathematical and statistical methods is first of all to detect and secondly to describe the interrelations between influencing forces on the one hand, and the interrelations between these influences and the resulting effects on the other hand. Subsequently, new scientific subdisciplines such as biometrics, psychometrics, medical statistics, econometrics, etc. have been developed. These developments have been reflected by the publication of corresponding journals, for example Biometrika (1901), Psycho-metrika (1936), Technometrics (1959) [GELADI, 1995]. Chemometrics was, therefore, not the first discipline of its kind. [Pg.3]

Chatfield, C. Analyse von Zeitreihen, BSB B.G. Teubner Verlagsges., Leipzig, 1982 Chatfield, C. The Analysis of Time Series An Introduction, 4th Ed., Chapman and Hall, London, 1989 Fomby, T.B., Hill, R.C., Johnson, R. Advanced Econometric Methods, Springer, New York, Berlin, Heidelberg, London, Paris, Tokyo, 1984... [Pg.22]

Kmenta, J. Elements of Econometrics, Macmillan Company, New York, 1971... [Pg.202]

Until recently mathematical methods of time series analysis in the environmental sciences have only been used quite rarely the methods have mostly been applied in economic science. Consequently, the mathematical fundamentals of time series analysis are mainly described in textbooks and papers dealing with statistics and econometrics [FORSTER and RONZ, 1979 COX, 1981 SCHLITTGEN and STREITBERG, 1989 CHATFIELD, 1989 BROCKWELL and DAVIS, 1987 BOX and JENKINS, 1976 FOMBYet al., 1984 METZLER and NICKEL, 1986 PANDIT and WU, 1990], This section explains the basic methods of time series analysis and their applicability in environmental analysis. [Pg.205]


See other pages where Econometrics is mentioned: [Pg.457]    [Pg.50]    [Pg.693]    [Pg.50]    [Pg.53]    [Pg.140]    [Pg.217]    [Pg.230]    [Pg.230]    [Pg.164]    [Pg.623]    [Pg.239]    [Pg.263]    [Pg.58]    [Pg.116]    [Pg.29]    [Pg.137]    [Pg.182]    [Pg.78]    [Pg.153]   
See also in sourсe #XX -- [ Pg.77 ]

See also in sourсe #XX -- [ Pg.1524 ]




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