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Time Varying Coefficients Estimation: Risk Equation

System GMM estimation of panel data models with time varying slope coefficients

System GMM estimation of panel data models with time varying slope coefficients

... instability, estimation using the TVC model does yield estimates that pass both the Sargan-Hansen and the AR(2) ...and time varying coe¢ cients as possible reasons why the overidentifying ...

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Time-varying correlation coefficients estimation and its application to dynamic connectivity analysis of fMRI

Time-varying correlation coefficients estimation and its application to dynamic connectivity analysis of fMRI

... with time. As a result, the correlation coefficients among fMRI time courses are time-varying as ...correlation coefficients are fixed [5, 6] so that the important dynamic ...

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Time-Varying Coefficients in a GMM Framework: Estimation of a Forward Looking Taylor Rule for the Federal Reserve.

Time-Varying Coefficients in a GMM Framework: Estimation of a Forward Looking Taylor Rule for the Federal Reserve.

... I use this procedure to assess the way the FED has set its interest rate over the past 40 years. Simple monetary policy rules depending on expected in‡ation and output gap with some degree of interest rate smoothing …t ...

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Effect of Varying Sample Size in Estimation of Coefficients of Internal Consistency

Effect of Varying Sample Size in Estimation of Coefficients of Internal Consistency

... three coefficients of internal consistency ...omega coefficients are ...The estimation of alpha, theta and omega coefficients and analytical effects under different sample sizes are examined ...

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Time varying covariates and coefficients in Cox regression models

Time varying covariates and coefficients in Cox regression models

... explore time-varying coefficient One way to model time-varying coefficients is to use a step function, ...analysis time into several intervals and Cox proportional model is ...

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Model Selection for Cox Models with Time-Varying Coefficients

Model Selection for Cox Models with Time-Varying Coefficients

... For varying-coefficient models of repeated measurements, Wang et ...regularized estimation using smoothly clipped absolute deviation (SCAD) with nonparametric coefficients expanded by basis ...of ...

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A semiparametric recurrent events model with time-varying coefficients

A semiparametric recurrent events model with time-varying coefficients

... or time- varying effect of an infant’s airway reactivity, which motivated us to develop a recurrent events frailty model with time-varying ...the risk of readmissions in a short term ...

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Risk Estimation when the Zero Probability of Financial Return is Time Varying

Risk Estimation when the Zero Probability of Financial Return is Time Varying

... that risk estimates can be substantially biased in practice if the time-varying zero probability is not accommodated appropriately (see Section ...general estimation and inference procedure ...

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Estimation of a Time Varying NAIRU for France.

Estimation of a Time Varying NAIRU for France.

... robust estimation of the equilibrium rate of unemployment. The estimation of a traditional Phillips curve for France ordinary leads to two major problems: the instability of the estimated NAIRU and/or the ...

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Inference of high-dimensional linear models with time-varying coefficients

Inference of high-dimensional linear models with time-varying coefficients

... the estimation of a sparse dependence structure where many elements of the inverse covariance matrix estimator are set to ...sparse estimation of covariance and inverse covariance matrices can be traced ...

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Simultaneous determination of time and space-dependent coefficients in a parabolic equation

Simultaneous determination of time and space-dependent coefficients in a parabolic equation

... Keywords: Inverse problem; Finite-difference method; Tikhonov regularization; Heat equation; Nonlinear optimization. 1 Introduction Coefficient identification problems typically involve the estimation of ...

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On Time-Varying Factor Models: Estimation and Testing

On Time-Varying Factor Models: Estimation and Testing

... L. Su, X. Wang / Journal of Econometrics 198 (2017) 84–101 85 In recent years, more and more research has focused on struc- tural changes in factor loadings. Stock and Watson ( 2009 ) examine the forecasting reliability ...

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Determinants of the time varying risk premia

Determinants of the time varying risk premia

... the risk premia of short term government as- sets (treasury ...monthly risk premia data using zero coupon government treasury bills for 43 countries over the period of ...The risk premia measure is ...

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Forecasting time-varying value-at-risk

Forecasting time-varying value-at-risk

... measure risk and VaR: through volatility and through ...The estimation of VaR is a complex ...tails, time-varying volatility, asymmetric re- sponse to bad and good news, and ...

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ICAPM with time-varying risk aversion

ICAPM with time-varying risk aversion

... with time-varying RRA perform better than the corresponding BBGB models which assume constant ...RRA equation, have the expected sign, and in many cases are statistically significant, thus confirming ...

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Estimation of a Time Varying Natural Interest Rate for Peru

Estimation of a Time Varying Natural Interest Rate for Peru

... the risk aversion coe¢ ...the risk aversion parameter : Equations (1) and (2) need selection of lag ...signi…cance, equation (1) uses three lags for in‡ation and one lag for output ...In ...

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A conditionally heteroskedastic model with time varying coefficients for daily gas spot prices

A conditionally heteroskedastic model with time varying coefficients for daily gas spot prices

... 1 Introduction Following the deregulation of natural gas markets in Europe, natural gas trans- actions between producing countries and retailers - historically run by long term contracts indexed on crude oil - were ...

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Local polynomial estimations of time varying coefficients for local stationary diffusion models

Local polynomial estimations of time varying coefficients for local stationary diffusion models

... Abstract This paper is dedicated to the study of local polynomial estimations of time-varying coefficients for a local stationary diffusion model. Based on local polynomial fitting, the estimations of drift ...

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A Conditionally Heteroskedastic Model with Time-varying Coefficients for Daily Gas Spot Prices.

A Conditionally Heteroskedastic Model with Time-varying Coefficients for Daily Gas Spot Prices.

... The article is organized as follows. Section 2 introduces the model and its main probability properties. It is shown how the model can be used for prediction purposes and the QML (Quasi-Maximum Likelihood) ...

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Semiparametric Approaches for Joint modeling of Longitudinal and Survival Data with Time Varying Coefficients

Semiparametric Approaches for Joint modeling of Longitudinal and Survival Data with Time Varying Coefficients

... biased estimation and misleading inference (Pren- tice, 1982; Tsiatis and Davidian 2001; Song and Huang ...survival time depends on the random effects of the mixed effects model through a survival ...for ...

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