Volgen
Minchul Shin
Minchul Shin
Federal Reserve Bank of Philadelphia
Geverifieerd e-mailadres voor phil.frb.org - Homepage
Titel
Geciteerd door
Geciteerd door
Jaar
Machine learning for regularized survey forecast combination: Partially-egalitarian lasso and its derivatives
FX Diebold, M Shin
International Journal of Forecasting 35 (4), 1679-1691, 2019
2002019
Metropolitan land values
D Albouy, G Ehrlich, M Shin
Review of Economics and Statistics 100 (3), 454-466, 2018
1182018
Real-time forecast evaluation of DSGE models with stochastic volatility
FX Diebold, F Schorfheide, M Shin
Journal of Econometrics 201 (2), 322-332, 2017
872017
A new approach to identifying the real effects of uncertainty shocks
M Shin, M Zhong
Journal of Business & Economic Statistics 38 (2), 367-379, 2020
832020
Bayesian estimation and comparison of moment condition models
S Chib, M Shin, A Simoni
Journal of the American Statistical Association 113 (524), 1656-1668, 2018
772018
Measuring international uncertainty: The case of Korea
M Shin, B Zhang, M Zhong, DJ Lee
Economics Letters 162, 22-26, 2018
472018
On the comparison of interval forecasts
R Askanazi, FX Diebold, F Schorfheide, M Shin
Journal of Time Series Analysis 39 (6), 953-965, 2018
442018
Macroeconomic forecasting and variable ordering in multivariate stochastic volatility models
JE Arias, JF Rubio-Ramirez, M Shin
Journal of Econometrics 235 (2), 1054-1086, 2023
422023
The causal effects of lockdown policies on health and macroeconomic outcomes
JE Arias, J Fernández-Villaverde, JF Rubio-Ramírez, M Shin
American Economic Journal: Macroeconomics 15 (3), 287-319, 2023
35*2023
Capital-based corporate tax benefits: Endogenous misallocation through lobbying
T Arayavechkit, F Saffie, M Shin
Working paper, 2018
35*2018
Bayesian GMM
M Shin
Working Paper, University of Pennsylvania, 2014
232014
Assessing point forecast accuracy by stochastic error distance
FX Diebold, M Shin
Econometric Reviews 36 (6-9), 588-598, 2017
222017
On the aggregation of probability assessments: Regularized mixtures of predictive densities for Eurozone inflation and real interest rates
FX Diebold, M Shin, B Zhang
Journal of Econometrics 237 (2), 105321, 2023
202023
Does realized volatility help bond yield density prediction?
M Shin, M Zhong
International Journal of Forecasting 33 (2), 373-389, 2017
152017
Assessing point forecast accuracy by stochastic loss distance
FX Diebold, M Shin
Economics Letters 130, 37-38, 2015
92015
Bayesian estimation and comparison of conditional moment models
S Chib, M Shin, A Simoni
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2022
62022
DSGE-SVt: An Econometric Toolkit for High-Dimensional DSGE Models with SV and t Errors
S Chib, M Shin, F Tan
Computational Economics, 1-43, 2021
52021
Crowning the metropolis: skylines, land values, and urban population
D Albouy, M Arango, M Shin
Working paper, 2020
52020
A statistical learning approach to land valuation: Optimizing the use of external information
D Albouy, M Shin
Journal of Housing Economics 58, 101873, 2022
42022
Probability forecast combination via entropy regularized Wasserstein distance
R Cumings-Menon, M Shin
Entropy 22 (9), 929, 2020
42020
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–20