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In Choi

Biographic Data

ID9613285
NAMEIn Choi
GIVEN NAMESIn
FAMILY NAMEChoi
SIGNATURECHOI I
AFFILIATIONSKookmin University
ORCID0000-0002-5115-5171
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2001
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Does climate change affect economic data

    Open Access•Rudolf Preuss, In Choi•ARTICLE•Empirical Economics•2023

    This paper derives the seasonal factors from the US temperature, gasoline price, and fresh food price data sets using the Kalman state smoother and the principal component analysis. Seasonality in this paper is modeled by the autoregressive process and added to the random component of the time series. The derived seasonal factors show a common feature: their volatilities have increased over the last four decades. Climate change is undoubtedly ref…

  • Cross-sectional quasi-maximum likelihood and bias-corrected pooled least squares estimators for short dynamic panels

    Open Access•In Choi, Sanghyun Jung•ARTICLE•Empirical Economics•2021

  • Differencing versus nondifferencing in factor‐based forecasting

    Open Access•In Choi, Hanbat Jeong•ARTICLE•Journal of Applied Econometrics•2020

    This paper studies performance of factor‐based forecasts using differenced and nondifferenced data. Approximate variances of forecasting errors from the two forecasts are derived and compared. It is reported that the forecast using nondifferenced data tends to be more accurate than that using differenced data. This paper conducts simulations to compare root mean squared forecasting errors of the two competing forecasts. Simulation results indicat…

  • Risk Factors for Internet Gaming Disorder

    Open Access•Mi Jung Rho, Mi Rho et al.•ARTICLE•International Journal of…•2017

    Background : Understanding the risk factors associated with Internet gaming disorder (IGD) is important to predict and diagnose the condition. The purpose of this study is to identify risk factors that predict IGD based on psychological factors and Internet gaming characteristics; Methods : Online surveys were conducted between 26 November and 26 December 2014. There were 3568 Korean Internet game users among a total of 5003 respondents. We ident…

  • Unit root tests for panel data

    Open Access•In Choi•ARTICLE•Journal of International Money…•2001

No prominent works on this page.

  • Unit root tests for panel data

    Open Access•In Choi•ARTICLE•Journal of International Money…•2001

  • Risk Factors for Internet Gaming Disorder

    Open Access•Mi Jung Rho, Mi Rho et al.•ARTICLE•International Journal of…•2017

    Background : Understanding the risk factors associated with Internet gaming disorder (IGD) is important to predict and diagnose the condition. The purpose of this study is to identify risk factors that predict IGD based on psychological factors and Internet gaming characteristics; Methods : Online surveys were conducted between 26 November and 26 December 2014. There were 3568 Korean Internet game users among a total of 5003 respondents. We ident…

  • Differencing versus nondifferencing in factor‐based forecasting

    Open Access•In Choi, Hanbat Jeong•ARTICLE•Journal of Applied Econometrics•2020

    This paper studies performance of factor‐based forecasts using differenced and nondifferenced data. Approximate variances of forecasting errors from the two forecasts are derived and compared. It is reported that the forecast using nondifferenced data tends to be more accurate than that using differenced data. This paper conducts simulations to compare root mean squared forecasting errors of the two competing forecasts. Simulation results indicat…

  • Cross-sectional quasi-maximum likelihood and bias-corrected pooled least squares estimators for short dynamic panels

    Open Access•In Choi, Sanghyun Jung•ARTICLE•Empirical Economics•2021

  • Does climate change affect economic data

    Open Access•Rudolf Preuss, In Choi•ARTICLE•Empirical Economics•2023

    This paper derives the seasonal factors from the US temperature, gasoline price, and fresh food price data sets using the Kalman state smoother and the principal component analysis. Seasonality in this paper is modeled by the autoregressive process and added to the random component of the time series. The derived seasonal factors show a common feature: their volatilities have increased over the last four decades. Climate change is undoubtedly ref…

Computer Science (3 works) · Econometrics (3 works) · Mathematics (3 works) · Monetary Policy and Economic Impact (3 works) · Statistics (3 works) · Engineering (2 works) · Market Dynamics and Volatility (2 works) · Aeronautics (1 works) · Autoregressive model (1 works) · Clinical Psychology (1 works)

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