Statistics and Econometrics
Science of econometrics any use for short term forecasting enquiry based mainly on irish educational statistics 1947 1967
... T h e table shows the number of cases in which the actual values lay within the range ± 2 s of the calculated 6: Number of Actual less Calculated in Absolute Value less than estimated Tw[r] ...
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The Replication Crisis as Market Failure
... Concerns about the inadequacy of standard practices in statistics and econometrics have been long-standing. Since the 1980s, criticisms of econometric practice, including those of Leamer (1983); Lovell ...
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BOOK REVIEW of “Statistical Foundations for Econometric Techniques” by Asad Zaman
... classical statistics and econometrics, his book should be of great interest to both teachers of core econometrics graduate courses as well as to practitioners of the art of ...
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Bias Correction Methods for Dynamic Panel Data Models with Fixed Effects
... Bias Correction Methods for Dynamic Panel Data Models with Fixed Effects Abonazel, Mohamed R.. Department of Applied Statistics and Econometrics, Institute of Statistical Studies and Res[r] ...
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R Codes to Calculate GMM Estimations for Dynamic Panel Data Models
... R-Codes to Calculate GMM Estimations for Dynamic Panel Data Models* Mohamed Reda Abonazel Department of Applied Statistics and Econometrics, Institute of Statistical Studies and Research[r] ...
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Econometrics and truth
... STRUCTURAL MODELS AND TIME SERIES ECONOMETRICS BEFORE COINTEGRATION The principal difference between the application of statistics to economics and to other sciences arises from the non-[r] ...
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Copula methods in econometrics
... Copula based method is a flexible method to conduct multivariate analysis for margins of different types and dependence patterns which are not best described by elliptical dis- tributions. When marginals are specified ...
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REAL EXCHANGE RATE INSTABILITY AND FOREIGN PRIVATE INVESTMENT IN NIGERIA: A CAUSALITY ANALYSIS (1986 - 2008)
... series econometrics analysis and descriptive statistics to ascertain the impact of exchange rate on increase/decrease of foreign direct investment in Nigeria and to determine the causal relationship between ...
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Realist econometrics? Nell and Errouaki on methodological institutionalism, regularity and uncertainty
... However, despite such statements the core argument has created some controversy within heterodox economics regarding the use of mathematics in general and econometrics in particular. Lawson’s critique is oriented ...
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Essays in applied econometrics
... As the dataset on benefits does not provide information on the date of first employment after layoff, I derive my measure of time to the next job from the social security records, and I define the period of nonemployment as ...
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Contributions to the econometrics of cross-sections
... N = 100, 200 and 300, LM^ has highest power for all distributions and we see that the W ’ test performs quite well also. Our results agree with those of White and MacDonald (1980) in that - in almost all the cases - the ...
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Three essays in econometrics
... Based on observationally equivalent parameter points obtained from the grid search results, we perform several forecasting exercises: i forecasting with observationally equivalent parame[r] ...
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Misclassification in Binary Choice Models with Sample Selection
... We try to overcome this by proposing a parametric approach for the estimation of the probabilities of misclassification of a binary response variable by incorporating them in the likelih[r] ...
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Forecast Bitcoin Volatility with Least Squares Model Averaging
... To build the candidate models for the model-averaging methods in Panel B, we take a general unrestricted model that includes all covariates in the HAR-Full model and only replace RV ( t [r] ...
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On the Forecast Combination Puzzle
... For example, Hendry and Clements ( 2004 ) demonstrated that when candidate forecasting models are all misspecified and breaks occur in the information variables, forecast combination met[r] ...
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A Combination Method for Averaging OLS and GLS Estimators
... As one of the pioneers of frequentist model averaging, Hansen ( 2007 ) proposed Mallows model averaging (MMA) based on the ordinary least-squares (OLS) estimator for linear regression mo[r] ...
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Consequences of Model Misspecification for Maximum Likelihood Estimation with Missing Data
... Model Misspecification. The problems of estimation and inference in the presence of model misspecification are important for several reasons. First, model misspecification may be present in many, if not most, situations; ...
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Article Compulsory Schooling and Returns to Education: A Re-Examination
... In Section 3, we find no evidence of convergence as a necessary condition for consistency of the IV models, regardless the choice of instruments by k-fold cross validation (CV). CV is an[r] ...
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Heteroskedasticity in One-Way Error Component Probit Models
... model). Thus, the homoskedastic probit model is nested in the heteroskedastic one. The omitted variables tests in literature are based on the likelihood-ratio (LR), the Lagrange multiplier (LM), and the Wald test. These ...
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Optimal Multi-Step-Ahead Prediction of ARCH/GARCH Models and NoVaS Transformation
... Abstract: This paper gives a computer-intensive approach to multi-step-ahead prediction of volatility in financial returns series under an ARCH/GARCH model and also under a model-free se[r] ...
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