Nathan S Balke
Biographic Data
| ID | 5733367 |
|---|---|
| NAME | Nathan S Balke |
| GIVEN NAMES | Nathan S |
| FAMILY NAME | Balke |
| SIGNATURE | BALKE N S |
| AFFILIATIONS | Southern Methodist University |
| ORCID | 0000-0001-8597-4258 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 32 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1989 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
The Shale Revolution and the Dynamics of the Oil Market
We build and estimate a dynamic, structural model of the world oil market to quantify the impact of the shale revolution. We model the shale revolution as a decrease in shale production costs and find that the resultant increase in shale production lowers oil prices by 24% in the short run and 48% once the shale oil transition is complete. Current oil price volatility is lowered by 8% to 23% depending on the horizon. We also find that OPEC core a…
Low-Frequency Movements in Stock Prices
Previous analyses have concluded that expectations of future excess stock returns rather than future real dividend growth or real interest rates are responsible for most of the volatility in stock prices. In this paper, we employ a state-space model to model the dynamics of the log price-dividend ratio along with long-term and short-term interest rates, real dividend growth, and inflation. The advantage of the state-space approach is that we can …
Credit and Economic Activity
In this paper, we examine empirically whether credit plays a role as a nonlinear propagator of shocks. This propagation takes the form of a threshold vector autoregression in which a regime change occurs if credit conditions cross a critical threshold. Using nonlinear impulseresponse functions, we evaluate the dynamics implied by the threshold model. These suggest that shocks have a larger effect on output in the ''tight'' credit regime than is n…
Detecting Level Shifts in Time Series
This article demonstrates the difficulty that traditional outlier detection methods, such as that of Tsay, have in identifying level shifts in time series. Initializing the outlier/level-shift search with an estimated autoregressive moving average model lowers the power of the level-shift detection statistics. Furthermore, the rule employed by these methods for distinguishing between level shifts and innovation outliers does not work well in the …
Poverty and Change in the Macroeconomy
This paper analyzes the impact of macroeconomic activity on the level of poverty in the U.S. economy. The authors us e a macroeconometric model of poverty in the United States where the rat e of poverty is presumed to depend upon changes in various indicators of macroeconomic performance and policy. The authors empirically model the relationship between poverty and the macroeconomy with a hybrid mode l that employs a reduced-form model to capture…
The Estimation of Prewar Gross National Product
This paper develops new methodology for the estimation of prewar gross national product (GNP), taps previously unused data sources, an d develops new estimates for the periods 1869-1908 and 1869-1928. Primary among the new data sources are direct measures of output in the transportation, communications, and construction sectors, and estimates of the consumer price index. New measures of real GNP, nominal GNP, and the GNP deflator are developed. T…
The Estimation of Prewar Gross National Product
This paper develops new methodology for the estimation of prewar gross national product (GNP), taps previously unused data sources, an d develops new estimates for the periods 1869-1908 and 1869-1928. Primary among the new data sources are direct measures of output in the transportation, communications, and construction sectors, and estimates of the consumer price index. New measures of real GNP, nominal GNP, and the GNP deflator are developed. T…
The Shale Revolution and the Dynamics of the Oil Market
We build and estimate a dynamic, structural model of the world oil market to quantify the impact of the shale revolution. We model the shale revolution as a decrease in shale production costs and find that the resultant increase in shale production lowers oil prices by 24% in the short run and 48% once the shale oil transition is complete. Current oil price volatility is lowered by 8% to 23% depending on the horizon. We also find that OPEC core a…
The Estimation of Prewar Gross National Product
This paper develops new methodology for the estimation of prewar gross national product (GNP), taps previously unused data sources, an d develops new estimates for the periods 1869-1908 and 1869-1928. Primary among the new data sources are direct measures of output in the transportation, communications, and construction sectors, and estimates of the consumer price index. New measures of real GNP, nominal GNP, and the GNP deflator are developed. T…
Detecting Level Shifts in Time Series
This article demonstrates the difficulty that traditional outlier detection methods, such as that of Tsay, have in identifying level shifts in time series. Initializing the outlier/level-shift search with an estimated autoregressive moving average model lowers the power of the level-shift detection statistics. Furthermore, the rule employed by these methods for distinguishing between level shifts and innovation outliers does not work well in the …
Poverty and Change in the Macroeconomy
This paper analyzes the impact of macroeconomic activity on the level of poverty in the U.S. economy. The authors us e a macroeconometric model of poverty in the United States where the rat e of poverty is presumed to depend upon changes in various indicators of macroeconomic performance and policy. The authors empirically model the relationship between poverty and the macroeconomy with a hybrid mode l that employs a reduced-form model to capture…
Credit and Economic Activity
In this paper, we examine empirically whether credit plays a role as a nonlinear propagator of shocks. This propagation takes the form of a threshold vector autoregression in which a regime change occurs if credit conditions cross a critical threshold. Using nonlinear impulseresponse functions, we evaluate the dynamics implied by the threshold model. These suggest that shocks have a larger effect on output in the ''tight'' credit regime than is n…
Low-Frequency Movements in Stock Prices
Previous analyses have concluded that expectations of future excess stock returns rather than future real dividend growth or real interest rates are responsible for most of the volatility in stock prices. In this paper, we employ a state-space model to model the dynamics of the log price-dividend ratio along with long-term and short-term interest rates, real dividend growth, and inflation. The advantage of the state-space approach is that we can …
The Shale Revolution and the Dynamics of the Oil Market
We build and estimate a dynamic, structural model of the world oil market to quantify the impact of the shale revolution. We model the shale revolution as a decrease in shale production costs and find that the resultant increase in shale production lowers oil prices by 24% in the short run and 48% once the shale oil transition is complete. Current oil price volatility is lowered by 8% to 23% depending on the horizon. We also find that OPEC core a…
Econometrics (6 works) · Economics (5 works) · Monetary Policy and Economic Impact (3 works) · Computer Science (2 works) · Macroeconomics (2 works) · Monetary economics (2 works) · Production (economics (2 works) · Anomaly detection (1 work) · Artificial Intelligence (1 work) · Autoregressive model (1 work)