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This book successfully illustrates the modeling of electricity prices with the help of stochastic processes. The relatively new phenomenon of negative prices is also integrated into the models. The integration of feed-in from wind power plants in energy models is also very innovative. This approach helps to simulate electricity prices in order to take into account the ""merit-order effect of renewable energy"". Finally, the models are used for the techno-economic evaluation of energy storages.
wind power --- energy storage --- economic modeling --- electricity prices --- Uncertainties in energy economics
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This paper shows that in theory and BLS microdata, the prices of imported goods respond to the exchange rates (ER) of the producer's foreign competitors. In contrast, standard models have no role for competitors' ERs. Excluding the effects of competitors' exchange rates typically biases upwards estimates of bilateral exchange rate pass-through because competitors' ERs and bilateral ERs are positively correlated. A multi-country version of Atkeson and Burstein's (2008) industry aggregation model is able to explain a sizable proportion of pass-through of competitors' exchange rates to import prices, and also predicts pass-through of foreign competitors' prices and pass-through of competitors' ERs to US producer prices-both of which are supported in the data. The results suggest that pass-through will be larger for ER movements shared by a greater fraction of foreign competitor countries.
Competitor --- Data --- Economic Modeling --- Exchange Rates --- Foreign Investment --- Markets --- Safety Net
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This paper describes a modeling methodology that embeds climate damages from natural disasters and risk management strategies into a macroeconomic model for Jamaica. The modeled damages take the form of capital destruction, and the risk management strategies considered are (i) adaptation investment in hurricane resilient infrastructure, (ii) commercial disaster insurance for the government, (iii) the formation of a contingency fund, and (iv) lower debt via higher future primary balances to create fiscal space for disaster recovery. Different risk management strategies are compared to a baseline of no risk management. The model behavior is estimated empirically on country-specific data. Hurricane damage and the model results are analyzed in deterministic and probabilistic settings, using the historical distribution of damages for Jamaica.
Conflict and Development --- Disaster Management --- Disaster Risk Management --- Economic Modeling --- Environment --- Hazard Risk Management --- Hurricane Damage --- Natural Disasters --- Urban Development
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Oil resources usually play a significant role in oil-rich countries, in gross domestic product and government revenues. High dependence of government revenues on oil can contribute to severe recession following an adverse commodity price shock, such as in 2014. This paper examines the extent to which a fiscal rule or stabilization fund could translate into a less pro-cyclical fiscal policy, with the government saving part of its oil revenues during periods of high prices and drawing down on the savings during difficult periods. Using the macro-structural model MFMod, the paper presents, evaluates, and discusses the strengths and weaknesses of different oil revenue management mechanisms applied to the specific case of Chad. The scenarios demonstrate that a well-designed management rule can successfully insulate the public budget from the oil price cycle, resulting in a significant reduction in the volatility of the economy.
Economic Modeling --- Energy Policies and Economics --- Fiscal and Monetary Policy --- Fiscal Policy --- Fiscal Rules --- Macroeconomic Management --- Oil and Gas --- Oil Prices --- Oil Revenue Management --- Procyclical Policy
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In recent research on natural processes, mathematical modeling has become a very useful tool. It is often the case that, in fields such as economics and biology, a temporal lag between cause and effect must often be taken into consideration. In modeling, a natural and practical implementation of this phenomenon is through the use of distributed delays. This is because they illustrate the situation where temporal lags arise in certain ranges of values for certain related probability distributions, taking into account the variables’ entire history of behavior. Another mathematical tool that allows for the memory and inherited properties of systems to be encompassed in a model is the replacement of integer-order derivatives with fractional derivatives. To address realistic conditions, stochastic perturbation framed by a stochastic differential delay system can be used to explain the ambiguity about the context in which the system operates. The present book comprises all the 16 articles accepted and published in the Special Issue “Advances in Differential Dynamical Systems with Applications to Economics and Biology” of the MDPI journal Mathematics, with focuses on the dynamical analysis of mathematical models, arising from economy and biology, and innovative developments in mathematical techniques for their applications. We expect that the international scientific community will find this collection of research papers influential and that they will spur additional investigations on diverse applications with respect to dynamical systems in all scientific areas.
Research & information: general --- Mathematics & science --- dynamical systems --- time delay --- stability --- bifurcation analysis in economic and biological systems --- chaotic behaviors --- fractional order systems --- numerical methods --- economic modeling --- infection modeling --- epidemic spreading --- blood flow models --- optimal control --- reaction&ndash --- diffusion systems
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As the effects of climate change become increasingly evident, the design and implementation of climate-aware policies have assumed a more central role in the macroeconomic policy debate. With this has come an increasing recognition of the importance of introducing climate into the economic policy making tools used by central economic policy making agencies (such as ministries of finance and ministries of planning). This paper integrates climate outcomes into a macro-structural model for Pakistan, the kind of model that is suitable for use on a regular basis by ministry staff. The model includes the standard set of variables and economic logic that are necessary for the kinds of forecasting, economic policy, and budgetary planning analysis typically conducted by central ministries. In addition to standard outputs (unemployment, inflation, gross domestic product growth, and fiscal and current accounts), the model generates climate outcomes (tons of carbon emitted and economic and health damages due to higher temperatures and pollution). These outcomes are generated when specific climate policies such as mitigation are analyzed, but also when other policies are analyzed that might have unanticipated climate impacts. The paper describes the changes made to the World Bank's standard macro structural model, MFMod, in integrated climate outcomes, climate policies, and the economic impacts of climate on Pakistan's economy. Notably, carbon-tax scenarios show that a USD 20 carbon tax can reduce emissions in Pakistan by 36 percent by 2050. Gross domestic product impacts could also be positive, if the revenues from the carbon tax were used to reduce reliance on heavily distorting taxes. The model also quantifies associated co-benefits from reduced local air pollution and better health and productivity outcomes. In the absence of action to restrain climate change, the model suggests that increased temperatures and rain variability could reduce output by as much as 10 percent compared with a scenario where global temperature rises were minimized.
Adaptation To Climate Change --- Carbon Policy and Trading --- Carbon Pricing --- Climate Change --- Climate Change and Environment --- Climate Change Mitigation and Green House Gases --- Economic Modeling --- Environment --- Environmental Economics and Policies --- Macroeconomics and Economic Growth --- Taxation and Subsidies
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This paper outlines the structure and economic foundation of the World Bank's macroeconomic and fiscal model (MFMod). MFMod consists of individual country models for 181 countries. The models are used by country economists within the World Bank's Macroeconomics, Trade and Investment Global Practice to (i) generate country forecasts and (ii) simulate various policies. Each model has a similar structure and functional form, with variation reflecting data availability and economic specialization (notably for oil exporters). Although the functional forms are similar, the parameters are country specific and estimated at the country level. Forecasts across countries are live-linked, with the export market growth of each country calculated as a trade-weighted average of imports of each of its trading partners. Remittance inflows and outflows are balanced across countries through a similar mechanism. Other cross-country linkages come through the real effective exchange rate and export and import prices, which are a function of world commodity prices and local cost considerations.
Commodity Prices --- Econometric Specification --- Economic Forecasting --- Economic Growth --- Economic Modeling --- Economic Policy, Institutions and Governance --- Economic Theory and Research --- Exchange Rates --- Fiscal and Monetary Policy --- Fiscal Policy --- Fiscal Trends --- Macroeconomic Management --- Macroeconomic Model --- Macroeconomics and Economic Growth --- Remittances --- Trade
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Optimal Transport Methods in Economics is the first textbook on the subject written especially for students and researchers in economics. Optimal transport theory is used widely to solve problems in mathematics and some areas of the sciences, but it can also be used to understand a range of problems in applied economics, such as the matching between job seekers and jobs, the determinants of real estate prices, and the formation of matrimonial unions. This is the first text to develop clear applications of optimal transport to economic modeling, statistics, and econometrics. It covers the basic results of the theory as well as their relations to linear programming, network flow problems, convex analysis, and computational geometry. Emphasizing computational methods, it also includes programming examples that provide details on implementation. Applications include discrete choice models, models of differential demand, and quantile-based statistical estimation methods, as well as asset pricing models.Authoritative and accessible, Optimal Transport Methods in Economics also features numerous exercises throughout that help you develop your mathematical agility, deepen your computational skills, and strengthen your economic intuition.The first introduction to the subject written especially for economistsIncludes programming examplesFeatures numerous exercises throughoutIdeal for students and researchers alike
Transportation problems (Programming) --- Economics --- Transport problems (Programming) --- Mathematical models. --- Economics, Mathematical --- Linear programming --- Mathematical models --- E-books --- Monge problem. --- MongeЋantorovich problem. --- applied economics. --- computation. --- computational geometry. --- convex analysis. --- dual minimizers. --- dual problem. --- duality. --- econometrics. --- economic modeling. --- economic output. --- economics. --- equilibrium transport. --- generalized convexity. --- hedonic equilibria. --- inversion demand. --- linear programming. --- marginal probability distributions. --- matching surplus. --- network flow problems. --- optimal assignment. --- optimal network flow. --- optimal transport theory. --- optimal transport. --- polar factorization theorem. --- positive assortative matching. --- primal problem. --- quantile regression. --- quantile transform. --- statistics. --- worker assignment. --- worker distribution. --- Transport. Traffic
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