Applied Statistics and Demographic Projection > Research

Applied Statistics and Demographic Projection

$Jinho-Oh$

Jinho-Oh

Office : Building N13(#708)
Tel : +82-42-821-1761
E-mail : jhoh75@hanbat.ac.kr
ORCID : https://orcid.org/ 0000-0002-7347-1415

The general area of my research is consisted of two parts. One is applied statistics such as multiple regression, multivariate analysis, and big data analysis. The other is demographic projection techniques. I am also interested in statistical modeling, robust parameter designs, and prediction on pension reserve. My current interesting research areas include big data analysis kind of text mining, word cloud, sentimental analysis, and population projection by region using scenarios, parametric, non-paramteric methods, and bayesian approach. Also recently, I’m interested in visualizing on component of demography and micro-simulation to analyze micro-change of population change according to socio-economic phenomenon

Eudcation

Ph.D. in Department of Statistics Seoul National University, Korea
- Advisor: Dr. SungHyun Park

Professional Experience

Team Menager and Senior Researcher, Retirement research Institute in Mirae Asset of Korea, Jan. 2010 ~ Nov. 2012.
Deputy Director of Statistical Research Institute in Statistics Korea, Jan. 2013 ~ Feb. 2019
- Methodology Analysis Division, Jan. 2013 ~ Sep. 2015
- Trend Analysis Division, Oct. 2015 ~ Oct. 2016
- Statistical Analysis Division, Nov. 2016 ~ Dec. 2016
- Visiting Fellow, United Nations Population Projections in Newyork, Dec. 2016 ~ Dec. 2017
- Statistical Analysis Division, Dec. 2017 ~ Dec. 2018
- Statistical Methodology Division, Dec. 2018 ~ Feb. 2019
Assistant Professor, School of Basic Sciences/Department of Mathematical Sciences, Hanbat National University, Daejeon, Korea, Mar. 2019–Present

Funding

The contract of Government and Grant
- (Contract) Statistics Korea for household projection in 2021 2021-05 to 2021-12 | Contract Statistics Korea (Daejeon, KR)
- (Contract) Statistics Korea for fertility projection in 2021 2021-01 to 2021-05 | Contract Statistics Korea (Daejeon, KR)
- (Contract) the contract of KIPF in 2019 2019-12 to 2020-04 | Contract Korea Institute of Public Finance (Sejong, KR) URL: http://www.KIPF.re.kr
- (Contract) A study for modified items of job openings in Labor Force Survey at Establishments in 2019 2019-06 to 2019-12 | Contract Ministry of Employment and Labor (Sejong, KR)
- (Contract) The contract of Statistics Korea for population projection in 2019 Contract Statistics Korea (Daejeon, KR)
- (Grant) The research fund of the Hanbat National University in 2021 Hanbat National University (Daejeon, KR)

Publications

Oh, J, H. (2023), A modified class of composite designs for the response model approach with noise factors, International Journal of Industrial Engineering: Theory, Applications and Practice, vol. 30. 273-282.
Oh, J, H. (2022), Graphical evaluation of prediction capability when the number of noise variable increases in robust parameter design, Communications in Statistics-Theory and Methods, published online. https://doi.org/10.1080/03610926.2022.2032166
Oh, J, H. (2021), Prediction on Internal Migration Using Varying Transition Probability for Korea, The Korean Journal of Population Studies, 44(1), 1-23.
Oh, J, H. (2021), A study on prediction for reflecting variation of fertility rate by province under ultra-low fertility in Korea, The Korean Journal of Applied Statistics, 34(1), 75-98.
Oh, J, H. (2020), Development of system of population projection and driving variation on demography for Korea using R, The Korean Journal of Applied Statistics, 33(4), 421-437.
Oh, J, H. (2020), Stochastic population projections on an uncertainty for the future Korea, The Korean Journal of Applied Statistics, 33(2), 185-201.
Oh, J, H. (2019), A Comparative Study on age-specific mortality declined rate and contributions to the increase in life expectancy for aging country, The Pension Study, 9(2), 51-72.
Kim, S. Y and Oh, J, H. (2019), stochastic projection on international migration using Coherent functional data model, The Korean Journal of Applied Statistics, 32(4), 517-541.
Oh, J, H. (2019), Forecast and identifying factors on a double-dip fertility rate for Korea, The Korean Journal of Applied Statistics, 32(4), 463-483.
Oh, J, H. (2019), A study on forecasting provinces-specific fertility for Korea, The Korean Journal of Applied Statistics, 32(2), 229-263.
Oh, J, H. (2018), A comparison and prediction of TFR using parametric, non-parametric, and Bayesian model, The Korean Journal of Applied Statistics, 31(6), 677-692.
Oh, J, H. and Kim, S. Y. (2018), Consideration on assumption and transition of mortality model for Korea-Discussion on the kinds of Lee-carter-, The Korean Journal of Applied Statistics, 31(5), 637-653.
Oh, J, H. (2018), A comparison of Real and Synthetic Cohort Mortality for Korea, The Korean Journal of Applied Statistics, 31(4), 427-446.
Oh, J, H., Park, S. H., and Gwon, S. S. (2018), Graphical Evaluation of Robust Parameter Designs based on Extended Scaled Prediction Variance and Extended Spherical Average Prediction Variance, Communications in Statistics-Theory and Methods, 47(14), 3523-3531.
Oh, J, H. (2018), A study on forecasting Cohort Incomplete Fertility for Korea, The Korean Journal of Population Studies, 41(1), 109-134.
Kim, S. Y., Oh, J, H., and Kim. K. W. (2018), A comparison of mortality projection by different time periods in time series, The Korean Journal of Population Studies, 31(1), 41-65.
Oh, J, H., Park, S. H., and Gwon, S. S. (2017), Extended scaled prediction variance optimality for modified central composite design, Communications in Statistics-Theory and Methods, 46(19), 9614-9624.
Kim, S. Y., and Oh, J, H. (2017), A Study comparison of mortality projection using parametric and non-parametric model, The Korean Journal of Population Studies, 30(5), 701-717.
Oh, J. H., and Park, S. B. (2014), A study on deriving birth equation with Birth Certificate data-Focusing on birth order and multiple births status, The Korean Pension Studies, 4(1), 67-91.
Oh, J. H., Yim, D. B., and Jeo, Y. I. (2013), Forecasting Trends for Private Pensions, The Korean Pension Studies, 3(1), 95-111.
He, Z., Wang, J., Oh, J. H. and Park, S. H. (2010), Robust optimization for multiple responses using response surface methodology, Applied Stochastic Models in Business and Industry, 26, 157-171.
Park, S. H., Park, S. W., Oh, J. H., and Park, D. H. (2008), A Study for Six Sigma Focused on Knowledge Creation, Journal of the Korean Society for Quality Management, 36(1), 80-88.
Park, S. W., Park, S. H., Park, D. H. and Oh, J. H. (2006), Six Sigma strategy for Service Industry, Journal of Information and Operations Management, 16(1), 77-95.
Park, S. H., Kim, J, E., and Oh, J. H. (2003), Construction of additional points to PLACKETT-BURMAN designs, International Journal of Industrial Engineering, 10(2), 157-166.
Park, S. H., and Oh, J. H. (2002), A Study on Detection of Influential Observations on a Subset of Regression Parameters in Multiple Regression, Journal of the Korean Statistical Society, 9(2), 521-531.