Time-to-Build and Leverage Dynamics

2012 ◽  
Author(s):  
Joshua R. Pierce ◽  
Sergey Tsyplakov ◽  
Jiebo Wang
Keyword(s):  
Time To Build ◽  
Leverage Dynamics

Finn Kydland and Edward Prescott: Driving Forces behind Economic Cycles (2004 Nobel Prize in Economics)

2005 ◽  
pp. 133-143 ◽  
Author(s):  
E. Balashova
Keyword(s):  
Nobel Prize ◽  
Driving Forces ◽  
Microeconomic Theory ◽  
Business Cycle Theory ◽  
Economic Cycles ◽  
Cyclical Fluctuations ◽  
Long Run ◽  
Time To Build ◽  
New Business ◽  
Extensive Research Program

The method of analyzing and modeling cyclical fluctuations of economy initiated by F. Kydland and E. Prescott - the 2004 Nobel Prize winners in Economics - is considered in the article. They proposed a new business cycle theory integrating the theory of long-run economic growth as well as the microeconomic theory of consumers and firms behavior. Simple version of general dynamic and stochastic macroeconomic model is described. The given approach which was formulated in their fundamental work "Time to Build and Aggregate Fluctuations" (1982) gave rise to an extensive research program and is still used as a basic instrument for investigating cyclical processes in economy nowadays.

Time-to-Build and the Inverse U-Shape Investment-Uncertainty Relationship

2008 ◽  
Vol 8 (1) ◽  
Author(s):  
Yishay D. Maoz
Keyword(s):  
Analytical Solution ◽  
Large Time ◽  
Time Lag ◽  
Time To Build ◽  
Small Uncertainty ◽  
Shape Uncertainty ◽  
Uncertainty Relationship

The effect that investment lags have on the uncertainty-investment relationship is studied by modifying the Bar-Ilan and Strange (1996) model to enable an analytical solution. The following results emerge: (i) If the time lag is sufficiently small, uncertainty affects investment negatively; (ii) A sufficiently large time lag gives rise to an inverse U-shape uncertainty-investment relationship; (iii) When such an inverse U-shape exists, the longer the time lag (or the larger the degree of profit convexity), the wider the range of a positive uncertainty-investment relationship.

scholarly journals Public investment, time to build, and the zero lower bound

2017 ◽  
Vol 23 ◽  
pp. 60-79 ◽  
Author(s):  
Hafedh Bouakez ◽  
Michel Guillard ◽  
Jordan Roulleau-Pasdeloup
Keyword(s):  
Lower Bound ◽  
Public Investment ◽  
Zero Lower Bound ◽  
Time To Build

scholarly journals A time to build and a time to burn: glucose metabolism for every season

2021 ◽  
Vol 81 (4) ◽  
pp. 642-644
Author(s):  
William B. McKean ◽  
Ashish G. Toshniwal ◽  
Jared Rutter
Keyword(s):  
Glucose Metabolism ◽  
Time To Build

scholarly journals Multi-source hydrological soil moisture state estimation using data fusion optimisation

2017 ◽  
Vol 21 (7) ◽  
pp. 3267-3285 ◽  
Author(s):  
Lu Zhuo ◽  
Dawei Han
Keyword(s):  
Soil Moisture ◽  
Data Fusion ◽  
Land Surface ◽  
Hydrological Cycle ◽  
Local Linear Regression ◽  
Data Sources ◽  
Superior Performance ◽  
Flood Prediction ◽  
Time To Build ◽  
Moisture State

Abstract. Reliable estimation of hydrological soil moisture state is of critical importance in operational hydrology to improve the flood prediction and hydrological cycle description. Although there have been a number of soil moisture products, they cannot be directly used in hydrological modelling. This paper attempts for the first time to build a soil moisture product directly applicable to hydrology using multiple data sources retrieved from SAC-SMA (soil moisture), MODIS (land surface temperature), and SMOS (multi-angle brightness temperatures in H–V polarisations). The simple yet effective local linear regression model is applied for the data fusion purpose in the Pontiac catchment. Four schemes according to temporal availabilities of the data sources are developed, which are pre-assessed and best selected by using the well-proven feature selection algorithm gamma test. The hydrological accuracy of the produced soil moisture data is evaluated against the Xinanjiang hydrological model's soil moisture deficit simulation. The result shows that a superior performance is obtained from the scheme with the data inputs from all sources (NSE = 0.912, r = 0.960, RMSE = 0.007 m). Additionally, the final daily-available hydrological soil moisture product significantly increases the Nash–Sutcliffe efficiency by almost 50 % in comparison with the two most popular soil moisture products. The proposed method could be easily applied to other catchments and fields with high confidence. The misconception between the hydrological soil moisture state variable and the real-world soil moisture content, and the potential to build a global routine hydrological soil moisture product are discussed.

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