Results 11 to 20 of about 165,475 (261)
A Modification to Two-Stage Least Squares With Genetic Applications. [PDF]
ABSTRACT Two‐stage least squares (2SLS) is by default applied to infer a putative causal association between an exposure, such as a gene or a protein, with an outcome such as a complex disease or trait, in transcriptome‐ or proteome‐wide association studies (TWAS/PWAS). In a typical two‐sample setting for TWAS/PWAS, the stage 1 sample
Fang L, Pan W.
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On a generalization of the test of endogeneity in a two stage least squares estimation. [PDF]
In situations that the predictors are correlated with the error term, we propose a bridge estimator in the two-stage least squares estimation. We apply this estimator to overcome the multicollinearity and sparsity of the explanatory variables, when the endogeneity problem is present.The proposed estimator was applied to modify the Durbin-Wu-Hausman ...
Sheikhi A, Bahador F, Arashi M.
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This paper proposes the wave peak frequency tracking methods based on the least squares identification algorithm. The wave disturbance model is transformed into an autoregressive moving average (ARMA) model and a recursive extended least squares (RELS ...
Jianping Yuan +4 more
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Household Indebtedness in the European Union Countries: Going Beyond the Mainstream Interpretation
This paper develops a panel data econometric analysis in order to determine the main macroeconomic causes of household indebtedness in the European Union countries from 1995 to 2019.
Ricardo Barradas, Inês Tomás
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The Exact Moments of the Two-Stage Least Squares Estimators in the General Dynamic Model [PDF]
While there has been an extensive literature on the estimation methods (mostly large sample) for the model yt = a yt_i + XtB there has been no serious attempt on the estimation analysis for the model consdering finite sample.
G.A. Ghazal
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The nexus between spatial structure and labour income: evidence from Vietnam
Studies on spatial structure features and their influence are increasingly receiving great attention from scholars and policymakers as they play an essential role in any geographical area’s planning and economic development.
Truong Cong Bac
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The useof biased estimation techniques is inevitable in connection withmulticollinearity. Two stage ridge estimator is a pioneer biased estimatorwhich is use to recover the problems that are originated from themulticollinearity.
Selma Toker, Nimet Özbay
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Determinants of Cognitive Skills and Competencies: Preliminary Statistical Analysis of PIAAC Data
The paper presents results of factor and regression analysis of determinants affecting cognitive skills assessed with PIAAC tests. Comparative analysis of competencies by occupation categories and by specializations shows that results of the Russian ...
Maxym Bruhanov, Sergiy Polyachenko
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Understanding agricultural land leasing in Ireland: a transaction cost approach
Formal written land leasing contracts offer an alternative to land purchase for those farmers wishing to expand their land area and provide greater security relative to informal short-term rental agreements and are particularly important for beginning ...
Laura Onofri +3 more
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TSLS and LIML Estimators in Panels with Unobserved Shocks
The properties of the two stage least squares (TSLS) and limited information maximum likelihood (LIML) estimators in panel data models where the observables are affected by common shocks, modelled through unobservable factors, are studied for the case ...
Giovanni Forchini, Bin Jiang, Bin Peng
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