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  • 1
    Call number: PIK B 020-94-0223
    In: Wiley series in probability and statistics
    Type of Medium: Monograph available for loan
    Pages: 1019 p.
    Edition: 2. Aufl.
    ISBN: 047189530x
    Series Statement: Wiley series in probability and mathematical statistics
    Location: A 18 - must be ordered
    Branch Library: PIK Library
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  • 2
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Real estate economics 20 (1992), S. 0 
    ISSN: 1540-6229
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Economics
    Notes: This paper introduces the use of non-sample, prior information to the problem of predicting prices of heterogeneous products. Using data from the 1983 American Housing Survey, the predictive performance of three Stein-like empirical Bayes estimation rules are compared to the least squares estimator and the traditional biased estimation technique, ridge regression. The biased estimators improve upon the least squares mean square error of prediction risk under certain design-related conditions. We provide evidence of this for the housing market in this paper.
    Type of Medium: Electronic Resource
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  • 3
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    Washington, D.C., etc. : Periodicals Archive Online (PAO)
    The Journal of economic education. 11:1 (1979:Fall) 20 
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  • 4
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    Ithaca, N.Y. : Periodicals Archive Online (PAO)
    Industrial and Labor Relations Review. 34:3 (1981:Apr.) 426 
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  • 5
    ISSN: 1573-7101
    Source: Springer Online Journal Archives 1860-2000
    Topics: Economics
    Notes: Conclusion This study has employed logit analysis in an attempt to determine important variables that influence the voting by the NLRB on unfair labor practice cases. Pooled regression results on the odds of voting prolabor were reported for the administrations of Eisenhower, Kennedy-Johnson and Nixon and for the entire period 1955–1975. A number of interesting findings are offered in this empirical investigation of the NLRB. First, it was found that if a Board member is reappointed to the Board, the greater will be the odds that the member will vote prolabor. This verifies the speculation that the Democrats preferred a solidly prolabor voting Board, and that the Republicans desired a strong prolabor voting minority on the Board. Secondly, political variables such as the party of the administration appointing the NLRB member and the member's own political party had an influence on the odds of voting prolabor. If the administration in power was Democratic or if the Board member was a Democrat, the greater were the odds that the member would vote prolabor. Even if a member of the Board professed to be an independent politically, which was the case for two members during the Eisenhower Administration, this variable was found to have a positive effect on prolabor voting for that particular administration and for the entire study period. Also, in the Eisenhower and Nixon administrations, being a former nonmember employee of the NLRB may have had some impact on the voting behavior. Finally, variables for economic conditions in the economy were introduced into the regression equations to test whether or not these variables had any effect on the voting behavior of the NLRB members. In almost all of the logit models reported, the unemployment rate had an influence on voting by Board members. The effect was found to be positive in the Eisenhower period and negative in the Kennedy-Johnson and Nixon periods. The effect for the entire period was positive. It is suggested that whether or not the influence of the unemployment rate on the voting on unfair labor practice cases was positive or negative depended on how the Board perceived the role of organized labor in the tradeoff between inflation and unemployment. If the members believe that organized labor's demands for higher wages caused accelerated inflation when the administration in power was simultaneously trying to reduce unemployment, then the odds of the member voting prolabor were reduced. Besides the unemployment rate, some other economic condition variables that were found to have a possible effect on NLRB voting during the Kennedy-Johnson administration were real GNP, strike days lost, and union membership in the United States. While admittedly this study is only a first attempt at modeling the voting behavior of the NLRB on important unfair labor practice decisions, we believe that we have captured some of the most important political and economic variables that effect the behavior of a quasi-judicial agency — the NLRB.
    Type of Medium: Electronic Resource
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  • 6
    Electronic Resource
    Electronic Resource
    Springer
    Public choice 36 (1981), S. 63-73 
    ISSN: 1573-7101
    Source: Springer Online Journal Archives 1860-2000
    Topics: Economics
    Notes: Concluding remarks In this paper, we have provided strong evidence in favor of the Niskanen model of bureaucratic behavior and against the ‘public interest’ hypothesis by considering the selection process used by HUD in awarding Urban Development Action Grants. Specifically, we did not find that any distress measures specified in regulations dealing with the program were statistically significant in explaining the awarding of grants. The only consistently significant factors of those considered were the level of private commitment to the project and the ratio of private funds committed to total amount requested. We argue that use of these variables, especially the latter, as primary selection criteria by HUD bureaucrats reflects their desire to enhance their budgetary environment by making what the market perceives to be the best investments available to them, avoiding risk and spreading available UDAG funds as widely as possible. We conclude that HUD officials may attempt to limit the number of projects in severely distressed cities (despite contrary regulations) and to maximize the spread of available resources among funded projects.
    Type of Medium: Electronic Resource
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  • 7
    Electronic Resource
    Electronic Resource
    Springer
    Empirical economics 18 (1993), S. 307-319 
    ISSN: 1435-8921
    Keywords: C13 ; C15
    Source: Springer Online Journal Archives 1860-2000
    Topics: Economics
    Notes: Summary The application of the Box-Cox transformation to the dependent and independent variables is discussed. Maximum likelihood and iterative GLS estimators are used and bootstrapping is carried out to compare the bootstrap sample variability with the finite sample variability (RMSE) and improve RMSE estimation. The biases of parameter estimators were shown to be substantial in small samples. The standard errors obtained from the Hessian matrix were a poor measure of the finite sample variability. Thet-ratios of the linear parameter estimators may not be normally distributed in small samples.
    Type of Medium: Electronic Resource
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  • 8
    Electronic Resource
    Electronic Resource
    Springer
    Review of quantitative finance and accounting 14 (2000), S. 193-208 
    ISSN: 1573-7179
    Keywords: vector autoregressive models ; shrinkage ; stein-rules
    Source: Springer Online Journal Archives 1860-2000
    Topics: Economics
    Notes: Abstract An improved way of dealing with uncertain prior information in the context of vector autoregressive systems of equations is proposed. The procedure is appropriate when inference about parameters of a cointegrated system is the aim of the analysis. The estimator uses uncertain prior information about the existence of trends and co-trends in the time series to improve parameter estimation within these systems. The improved estimator eliminates the need to carry out the unit root, cointegration, and parameter restriction pretests and is shown in our Monte Carlo experiments to have good statistical properties in small samples. The pretest, maximum likelihood, and restricted maximum likelihood estimators are compared to the proposed estimator based on squared error risk, mean square error of prediction risk, and out-of-sample root-mean-square forecast error. The Monte Carlo simulations are based on actual economic data collected for eurodollar futures contracts. The evidence suggests that the parameters of vector autoregressive systems can be estimated with lower mean square error with the new estimator even when prior guesses about the nature of the cointegrating vector(s) are incorrect. In-sample prediction is likewise improved. The Monte Carlo simulations are based on eurodollar spot and futures market data that has been used to test the “unbiased expectations” hypothesis.
    Type of Medium: Electronic Resource
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  • 9
    Publication Date: 1990-08-01
    Print ISSN: 0002-9092
    Electronic ISSN: 1467-8276
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
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  • 10
    Publication Date: 1981-05-01
    Print ISSN: 0002-9092
    Electronic ISSN: 1467-8276
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
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