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The Impact of Public Capital, Human Capital, and Knowledge on Aggregate Output
Joutz, Frederick L. - 2008
This paper investigates the impact of public capital on private sector output by testing and estimating an aggregate production function for the U.S. economy over the postwar period augmented to include the stock of public capital as an additional factor input. We use patent applications to...
Persistent link: https://www.econbiz.de/10012677663
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Creating Sustainable Fiscal Space for Infrastructure
Ter-Minassian, Teresa - 2008
maintaining infrastructure networks. Over the past decade, developed and developing countries have looked to fiscal rules … instruments to raise additional finance for infrastructure investment. This paper looks at the range of options for raising the … financing to meet Tanzania's infrastructure needs. It begins with a brief survey of the evidence on the relationship bet …
Persistent link: https://www.econbiz.de/10012677684
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Benchmarking Infrastructure Using Public Investment Efficiency Frontiers
Kapsoli, Javier - 2023
With limited financing options, increasing investment efficiency will be a critical avenue to building infrastructure … scores for a wide range of countries employing metrics of infrastructure quantity and utilization. We find that efficiency … inefficiencies could increase infrastructure output by 55 percent overall, when averaging across 12 estimation approaches …
Persistent link: https://www.econbiz.de/10015059445
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Creating Sustainable Fiscal Space for Infrastructure : The Case of Tanzania
Ter-Minassian, Teresa - 2008
maintaining infrastructure networks. Over the past decade, developed and developing countries have looked to fiscal rules … instruments to raise additional finance for infrastructure investment. This paper looks at the range of options for raising the … financing to meet Tanzania's infrastructure needs. It begins with a brief survey of the evidence on the relationship between …
Persistent link: https://www.econbiz.de/10014409074
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Predicting IMF-Supported Programs: A Machine Learning Approach
Batsuuri, Tsendsuren - 2024
This study applies state-of-the-art machine learning (ML) techniques to forecast IMF-supported programs, analyzes the ML prediction results relative to traditional econometric approaches, explores non-linear relationships among predictors indicative of IMF-supported programs, and evaluates model...
Persistent link: https://www.econbiz.de/10015058608
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Predicting the Law: Artificial Intelligence Findings from the IMF's Central Bank Legislation Database
AlAjmi, Khaled - 2023
Using the 2010, 2015, and 2020/2021 datasets of the IMF's Central Bank Legislation Database (CBLD), we explore artificial intelligence (AI) and machine learning (ML) approaches to analyzing patterns in central bank legislation. Our findings highlight that: (i) a simple Naïve Bayes algorithm can...
Persistent link: https://www.econbiz.de/10015058919
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Surrogate Data Models: Interpreting Large-scale Machine Learning Crisis Prediction Models
Chan-Lau, Jorge - 2023
Machine learning models are becoming increasingly important in the prediction of economic crises. The models, however, use datasets comprising a large number of predictors (features) which impairs model interpretability and their ability to provide adequate guidance in the design of crisis...
Persistent link: https://www.econbiz.de/10015059684
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Structural Reforms and Economic Growth: A Machine Learning Approach
Ari, Anil - 2022
The qualitative and granular nature of most structural indicators and the variety in data sources poses difficulties for consistent cross-country assessments and empirical analysis. We overcome these issues by using a machine learning approach (the partial least squares method) to combine a...
Persistent link: https://www.econbiz.de/10015060113
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Housing Boom and Headline Inflation: Insights from Machine Learning
Liu, Yang - 2022
Inflation has been rising during the pandemic against supply chain disruptions and a multi-year boom in global owner-occupied house prices. We present some stylized facts pointing to house prices as a leading indicator of headline inflation in the U.S. and eight other major economies with...
Persistent link: https://www.econbiz.de/10015060221
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Overcoming Data Sparsity: A Machine Learning Approach to Track the Real-Time Impact of COVID-19 in Sub-Saharan Africa
Barhoumi, Karim - 2022
The COVID-19 crisis has had a tremendous economic impact for all countries. Yet, assessing the full impact of the crisis has been frequently hampered by the delayed publication of official GDP statistics in several emerging market and developing economies. This paper outlines a machine-learning...
Persistent link: https://www.econbiz.de/10015060443