Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Seunghwa Rho"'
Publikováno v:
Empirical Economics.
Autor:
Seunghwa Rho, Timothy J. Vogelsang
Publikováno v:
Journal of Econometrics. 224:113-133
This paper proposes a long run variance estimator for conducting inference in time series regression models that combines the nonparametric approach with a cluster approach. The basic idea is to divide the time periods into non-overlapping clusters.
Autor:
Seunghwa Rho, Dooyeon Cho
Publikováno v:
Empirical Economics. 62:2149-2177
This paper investigates the asymmetric effects of exchange rate volatility in currency markets using high-frequency, intraday data of the most actively traded currencies over 2004–2017. The analysis is conducted by combining the quantile regression
Publikováno v:
Econometrics and Statistics.
Autor:
Dooyeon Cho, Seunghwa Rho
Publikováno v:
Economics Letters. 182:19-22
This paper investigates the persistence of the unemployment rate for the UK and the US over the past century by modeling the persistence to randomly evolve over time. The estimated autoregressive coefficient exhibits significant variation over time i
Publikováno v:
Journal of Time Series Analysis. 40:609-628
The presence of long memory in realized volatility (RV) is a widespread stylized fact. The origins of long memory in RV have been attributed to jumps, structural breaks, contemporaneous aggregation, nonlinearities, or pure long memory. An important d
Autor:
Timothy J. Vogelsang, Seunghwa Rho
Publikováno v:
Econometric Theory. 35:601-629
In this paper we investigate the properties of heteroskedasticity autocorrelation (HAC) robust test statistics in stationary weakly dependent time series regression settings when observations are missing. We focus on statistics constructed using nonp
Autor:
Peter Schmidt, Seunghwa Rho
Publikováno v:
Journal of Productivity Analysis. 43:327-349
In the usual stochastic frontier model, all firms are inefficient, because inefficiency is non-negative and the probability that inefficiency is exactly zero equals zero. We modify this model by adding a parameter p which equals the probability that