Minchul Shin
Biographic Data
| ID | 8880333 |
|---|---|
| NAME | Minchul Shin |
| GIVEN NAMES | Minchul |
| FAMILY NAME | Shin |
| SIGNATURE | SHIN M |
| AFFILIATIONS | University of Illinois Urbana-Champaign |
| ORCID | 0000-0002-4271-754X |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
A New Approach to Identifying the Real Effects of Uncertainty Shocks
This article introduces the use of the sign restrictions methodology to identify uncertainty shocks. We apply our methodology to a class of vector autoregression models with stochastic volatility that allow volatility fluctuations to impact the conditional mean. We combine sign restrictions on the conditional mean and conditional second moment impulse responses to identify financial and macro uncertainty shocks. On U.S. data, we find stronger evi…
Metropolitan Land Values
We estimate the first cross-sectional index of transaction-based land values for every U.S. metropolitan area. The index accounts for geographic selection and incorporates novel shrinkage methods using a prior belief based on urban economic theory. Land values at the city center increase with city size, as do land-value gradients; both are highly variable across cities. Urban land values are estimated at more than two times GDP in 2006. These est…
No prominent works on this page.
Metropolitan Land Values
We estimate the first cross-sectional index of transaction-based land values for every U.S. metropolitan area. The index accounts for geographic selection and incorporates novel shrinkage methods using a prior belief based on urban economic theory. Land values at the city center increase with city size, as do land-value gradients; both are highly variable across cities. Urban land values are estimated at more than two times GDP in 2006. These est…
A New Approach to Identifying the Real Effects of Uncertainty Shocks
This article introduces the use of the sign restrictions methodology to identify uncertainty shocks. We apply our methodology to a class of vector autoregression models with stochastic volatility that allow volatility fluctuations to impact the conditional mean. We combine sign restrictions on the conditional mean and conditional second moment impulse responses to identify financial and macro uncertainty shocks. On U.S. data, we find stronger evi…
Economics (2 works) · Agricultural economics (1 work) · Computer Science (1 work) · Conditional expectation (1 work) · Database transaction (1 work) · Econometrics (1 work) · Economic geography (1 work) · Federal funds (1 work) · Financial Risk and Volatility Modeling (1 work) · Geography (1 work)