Journal ArticleDOI
Governmental Investment Impacts on the Construction Sector Considering the Liquidity Trap
TLDR
In this paper , an integrated model of the investment savings-liquidity preference money supply (IS-LM) curve and the dynamic stochastic general equilibrium (DSGE) analysis was developed to investigate the balance of supply and demand during deflation status in addition to the associated spending adjustment mechanisms.Abstract:
Considering the liquidity trap is critical as a primary step for a complete understanding of public investment’s impacts on the financial supply and demand within the construction industry during deflationary periods. However, minimal research has been conducted to formulate efficient models that can quantify optimal governmental investments. To bridge the gap, an integrated model of the investment savings-liquidity preference money supply (IS-LM) curve and the dynamic stochastic general equilibrium (DSGE) analysis was developed to investigate the balance of supply and demand during deflation status in addition to the associated spending adjustment mechanisms. The most recent data were analyzed, and the deep parameters were obtained using Bayesian estimation via the Markov chain Monte Carlo (MCMC) technique. The analysis result showed that public investment within economies in a deflationary state, which is in a liquidity trap, are expected to crowd out private investment. Also, due to the issuance of government bonds during deflation, the effect of public investment in this situation is more significant than that during inflation. Therefore, decision makers can use the proposed model to manage and quantify the highway construction and maintenance sector’s governmental annual optimal investment. read more
Citations
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Journal ArticleDOI
Extreme Gradient Boosting-Based Machine Learning Approach for Green Building Cost Prediction
TL;DR: In this article , the authors presented machine learning-based algorithms, including extreme gradient boosting (XGBOOST), deep neural network (DNN), and random forest (RF), to predict green building costs.
Journal ArticleDOI
Machine Learning Algorithm for Shear Strength Prediction of Short Links for Steel Buildings
TL;DR:
Journal ArticleDOI
Evaluating the Impact of External Support on Green Building Construction Cost: A Hybrid Mathematical and Machine Learning Prediction Approach
TL;DR: In this article , the authors developed a mathematical model to explore the balance of supply and demand under deflationary conditions for external green construction support and the accompanying spending adjustment processes and found that public and private investments in green construction are projected to decrease the cost of green buildings.
Journal ArticleDOI
Machine Learning-Based Model for Predicting the Shear Strength of Slender Reinforced Concrete Beams without Stirrups
Odey Alshboul,Ghassan Almasabha,Ali Qandil Shehadeh,Rabia Emhamed Al Mamlook,A Almuflih,N. Almakayeel +5 more
TL;DR: In this article , the authors investigated the importance of the most significant potential variables on the shear strength of SRCB-WS to help develop a gene expression-based model to estimate the sheer strength.
Journal ArticleDOI
Optimization of the Structural Performance of Buried Reinforced Concrete Pipelines in Cohesionless Soils
TL;DR: In this article , a parametric study was carried out for reinforced concrete pipes with various diameters buried under soil fill depths using a reliable finite element analysis to execute this investigation, which revealed that the recommended optimum reinforced concrete pipeline diameter-to-thickness ratio, which is highly sensitive to the soil fill depth, is 6.0, 4.2, 15.2 and 18.3 m, respectively.
References
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Journal ArticleDOI
Is public expenditure productive
TL;DR: In this paper, the relationship between aggregate productivity and stock and flow government-spending variables is investigated and the empirical results indicate that the non-military public capital stock is dramatically more important in determining productivity than is either the flow of nonmilitary or military spending, and that military capital bears little relation to productivity.
BookDOI
Handbook of Markov Chain Monte Carlo
TL;DR: A Markov chain Monte Carlo based analysis of a multilevel model for functional MRI data and its applications in environmental epidemiology, educational research, and fisheries science are studied.
BookDOI
Applied Regression Analysis
TL;DR: Linear regression models have been widely used in the business world, as well as in many other fields such as economics, engineering, social research and in the health and biological sciences as mentioned in this paper.
Posted Content
Keynesian Macroeconomics Without the Lm Curve
David H. Romer,David H. Romer +1 more
TL;DR: This article presented an alternative model that replaces the assumption that the central bank targets the money supply with an assumption that it follows a simple interest rate rule, which is simpler, more realistic, and more coherent than IS-LM-AS.
Journal ArticleDOI
Private Investment in Developing Countries: An Empirical Analysis
TL;DR: In this article, the effects of several macroeconomic variables on the ratio of private investment to gross domestic product in developing countries during 1975-87 were analyzed, and the impact of most variables was greatest before the 1982 debt crisis.