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Spatial analysis in economics is becoming increasingly important as more spatial data and innovative data mining technologies are developed. Even in Africa, where data often crucially lack quality analysis, a variety of spatial data have recently been developed, such as highly disaggregated crop production maps. Taking advantage of the historical event that rail operations were ceased in Ethiopia, this paper examines the relationship between agricultural production and transport connectivity, especially port accessibility, which is mainly characterized by rail transport. To deal with endogeneity of infrastructure placement and autocorrelation in spatial data, the spatial autocorrelation panel regression model is applied. It is found that agricultural production decreases with transport costs to the port: the elasticity is estimated at -0.094 to -0.143, depending on model specification. The estimated autocorrelation parameters also support the finding that although farmers in close locations share a certain common production pattern, external shocks, such as drought and flood, have spillover effects over neighboring areas.
Agriculture Production --- Spatial Autoregressive Model --- Transport Infrastructure
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The literature suggests a wide range of impacts of improved transport connectivity on agricultural growth. Still, the infrastructure-growth nexus remains somewhat mysterious, particularly in the African context, because many rural farmers do not have their own transport means. Using data from Madagascar, the paper reexamines the important roles of agrobusinesses. By applying the spatial autoregressive model, it is shown that proximity to input-oriented agrobusinesses, such as input dealers and equipment suppliers, is particularly important to increase rice production. Fertilizer and irrigation use is also found important, indicating the needs for intensification in rice production. Market accessibility is always found as a significant determinant: transport infrastructure connecting farmers and markets, especially the capital city, Antananarivo, is therefore important to develop and maintain.
Agriculture --- Agriculture Production --- Autoregressive Model --- Climate Change and Agriculture --- Crops and Crop Management Systems --- Food Security --- Inequality --- Infrastructure --- Poverty Reduction --- Transport
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Understanding how land prices are determined is of particular importance for policy makers; however, there is little evidence in African countries, which are currently experiencing rapid urbanization. The paper examines the relationship between land prices and locational characteristics using data from Antananarivo, the capital of Madagascar. It is found that the land value gradients are relatively steep, indicating that the land and housing prices tend to overshoot in the middle of the city, pushing the poor away from the city to suburban areas. It is also found that access to transport infrastructure and services, such as minibuses, is an important determinant of land value. Not only transport connectivity, but also other factors, such as proximity to amenities and administrative centers, are found to be important. Better land management and urban transport policies are called for to promote these aspects in the city.
Communities and Human Settlements --- Housing Price --- Land and Housing --- Land Price --- Land Use and Policies --- Rural Transportation Infrastructure --- Spatial Autoregressive Model --- Transport --- Urban Development --- Urban Housing --- Urban Housing and Land Settlements --- Urban Transport --- Urbanization
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Export responses to real exchange rate (RER) depreciations in Pakistan are lower than those to appreciations. This paper empirically documents this asymmetric response using macro-level data. It then relies on a disaggregated export product-level data set for 2003-17 to test, within a panel fixed-effects framework, three hypotheses explaining the low export response to depreciations, focusing on information costs, supply constraints, and pricing to market. The analysis finds that (i) exports of differentiated products grow more slowly when the RER depreciates than they fall when it appreciates; (ii) exports from sectors with relatively greater supply constraints - in particular related to accessing finance- respond less to depreciations than to appreciations; and (iii) dollar prices for Pakistani exports tend to fall after nominal depreciations of the Pakistani rupee, in violation of the Dominant Currency Paradigm and consistent with pricing-to-market behavior, further accounting for the low response of exports to RER depreciations.
Currencies and Exchange Rates --- Currency Depreciation --- Exchange Rate --- Export Competitiveness --- Export Performance --- Exports --- Finance and Financial Sector Development --- Financial Dependence --- International Economics and Trade --- Pricing to Market --- Real Exchange Rate --- Threshold Autoregressive Model --- Trade and Investment
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This book focuses on the recent development of forecasting and risk management techniques for electricity markets. In addition, we discuss research on new trading platforms and environments using blockchain-based peer-to-peer (P2P) markets and computer agents. The book consists of two parts. The first part is entitled “Forecasting and Risk Management Techniques” and contains five chapters related to weather and electricity derivatives, and load and price forecasting for supporting electricity trading. The second part is entitled “Peer-to-Peer (P2P) Electricity Trading System and Strategy” and contains the following five chapters related to the feasibility and enhancement of P2P energy trading from various aspects.
Technology: general issues --- History of engineering & technology --- electricity markets --- non-parametric regression --- minimum variance hedge --- spline basis functions --- cyclic cubic spline --- weather derivatives --- n/a --- distributed energy resources (DER) --- P2P energy trading --- cooperative mechanism --- renewable energy --- multi agent system --- blockchain --- cashflow management of electricity businesses --- electricity derivatives and forwards --- retailers and power producers --- solar power and thermal energy --- optimal hedging using nonparametric techniques --- empirical simulations --- peer-to-peer energy trading --- distributed energy resources --- microgrid --- digital grid --- bidding strategy --- electricity price --- electricity load --- electricity price forecasting --- wind energy --- day-ahead market --- intra-day market --- balancing power market --- peer to peer energy market --- hardware control --- demonstration experiment --- home energy management systems --- electric vehicles --- bidding agent --- electric vehicle --- functional autoregressive model --- functional principle component analysis --- vector autoregressive model --- functional final prediction error (FFPE) --- naive method --- P2P electricity market --- market maker --- liquidity --- price fluctuation --- artificial market simulation
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The Efficient Market Hypothesis believes that it is impossible for an investor to outperform the market because all available information is already built into stock prices. However, some anomalies could persist in stock markets while some other anomalies could appear, disappear and re-appear again without any warning. A Special Issue on "Efficiency and Anomalies in Stock Markets" will be devoted to advancements in the theoretical development of market efficiency and anomaly in the Stock Market, as well as applications in Stock Market efficiency and anomalies.
Development economics & emerging economies --- stochastic dominance --- Omega ratio --- risk averters --- risk seekers --- utility maximization --- market efficiency --- anomaly --- emerging markets --- KSE Pakistan --- three-factor model --- size and value premiums --- future economic growth --- liquidity proxy --- emerging market --- transaction cost --- price impact --- efficient market --- economic policy uncertainty --- random walk --- news --- Asian market --- G7 market --- real exchange rate --- volatility --- financial development --- economic growth --- Put–Call Ratio --- volume --- open interest --- frequency-domain roiling causality --- convertible bond --- financial constraints --- stock performance --- Autoregressive Model --- non-Gaussian error --- realized volatility --- Threshold Autoregressive Model --- value premium --- technical analysis --- moving average --- China stock market --- stock market --- finance --- applications --- EMH --- anomalies --- Behavioral Finance --- Winner–Loser Effect --- Momentum Effect --- calendar anomalies --- BM effect --- the size effect --- Disposition Effect --- Equity Premium Puzzle --- herd effect --- ostrich effect --- bubbles --- trading rules --- overconfidence --- utility --- portfolio selection --- portfolio optimization --- risk measures --- performance measures --- indifference curves --- two-moment decision models --- dynamic models --- diversification --- behavioral models --- unit root --- cointegration --- causality --- nonlinearity --- covariance --- copulas --- robust estimation --- anchoring
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The Efficient Market Hypothesis believes that it is impossible for an investor to outperform the market because all available information is already built into stock prices. However, some anomalies could persist in stock markets while some other anomalies could appear, disappear and re-appear again without any warning. A Special Issue on "Efficiency and Anomalies in Stock Markets" will be devoted to advancements in the theoretical development of market efficiency and anomaly in the Stock Market, as well as applications in Stock Market efficiency and anomalies.
Development economics & emerging economies --- stochastic dominance --- Omega ratio --- risk averters --- risk seekers --- utility maximization --- market efficiency --- anomaly --- emerging markets --- KSE Pakistan --- three-factor model --- size and value premiums --- future economic growth --- liquidity proxy --- emerging market --- transaction cost --- price impact --- efficient market --- economic policy uncertainty --- random walk --- news --- Asian market --- G7 market --- real exchange rate --- volatility --- financial development --- economic growth --- Put–Call Ratio --- volume --- open interest --- frequency-domain roiling causality --- convertible bond --- financial constraints --- stock performance --- Autoregressive Model --- non-Gaussian error --- realized volatility --- Threshold Autoregressive Model --- value premium --- technical analysis --- moving average --- China stock market --- stock market --- finance --- applications --- EMH --- anomalies --- Behavioral Finance --- Winner–Loser Effect --- Momentum Effect --- calendar anomalies --- BM effect --- the size effect --- Disposition Effect --- Equity Premium Puzzle --- herd effect --- ostrich effect --- bubbles --- trading rules --- overconfidence --- utility --- portfolio selection --- portfolio optimization --- risk measures --- performance measures --- indifference curves --- two-moment decision models --- dynamic models --- diversification --- behavioral models --- unit root --- cointegration --- causality --- nonlinearity --- covariance --- copulas --- robust estimation --- anchoring
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The Efficient Market Hypothesis believes that it is impossible for an investor to outperform the market because all available information is already built into stock prices. However, some anomalies could persist in stock markets while some other anomalies could appear, disappear and re-appear again without any warning. A Special Issue on "Efficiency and Anomalies in Stock Markets" will be devoted to advancements in the theoretical development of market efficiency and anomaly in the Stock Market, as well as applications in Stock Market efficiency and anomalies.
stochastic dominance --- Omega ratio --- risk averters --- risk seekers --- utility maximization --- market efficiency --- anomaly --- emerging markets --- KSE Pakistan --- three-factor model --- size and value premiums --- future economic growth --- liquidity proxy --- emerging market --- transaction cost --- price impact --- efficient market --- economic policy uncertainty --- random walk --- news --- Asian market --- G7 market --- real exchange rate --- volatility --- financial development --- economic growth --- Put–Call Ratio --- volume --- open interest --- frequency-domain roiling causality --- convertible bond --- financial constraints --- stock performance --- Autoregressive Model --- non-Gaussian error --- realized volatility --- Threshold Autoregressive Model --- value premium --- technical analysis --- moving average --- China stock market --- stock market --- finance --- applications --- EMH --- anomalies --- Behavioral Finance --- Winner–Loser Effect --- Momentum Effect --- calendar anomalies --- BM effect --- the size effect --- Disposition Effect --- Equity Premium Puzzle --- herd effect --- ostrich effect --- bubbles --- trading rules --- overconfidence --- utility --- portfolio selection --- portfolio optimization --- risk measures --- performance measures --- indifference curves --- two-moment decision models --- dynamic models --- diversification --- behavioral models --- unit root --- cointegration --- causality --- nonlinearity --- covariance --- copulas --- robust estimation --- anchoring
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"A severe thunderstorm morphs into a tornado that cuts a swath of destruction through Oklahoma. How do we study the storm's mutation into a deadly twister? Avian flu cases are reported in China. How do we characterize the spread of the flu, potentially preventing an epidemic? The way to answer important questions like these is to analyze the spatial and temporal characteristics--origin, rates, and frequencies--of these phenomena. This comprehensive text introduces advanced undergraduate students, graduate students, and researchers to the statistical and algebraic methods used to analyze spatiotemporal data in a range of fields, including climate science, geophysics, ecology, astrophysics, and medicine. Gidon Eshel begins with a concise yet detailed primer on linear algebra, providing readers with the mathematical foundations needed for data analysis. He then fully explains the theory and methods for analyzing spatiotemporal data, guiding readers from the basics to the most advanced applications. This self-contained, practical guide to the analysis of multidimensional data sets features a wealth of real-world examples as well as sample homework exercises and suggested exams"--
Spatial analysis (Statistics) --- Analysis, Spatial (Statistics) --- Correlation (Statistics) --- Spatial systems --- EOF analysis. --- EOF. --- GramГchmidt orthogonalization. --- SVD analysis. --- SVD. --- astrophysics. --- autocorrelation functions. --- autocovariance. --- autoregressive model. --- climate science. --- column space. --- covariability matrix. --- data analysis. --- data matrices. --- degrees of freedom. --- deterministic science. --- ecology. --- eigen-decomposition. --- eigen-techniques. --- eigenanalysis. --- eigenvalues. --- empirical orthogonal functions. --- empirical science. --- empiricism. --- exercises. --- forward problem. --- geophysics. --- inverse problem. --- linear algebra. --- linear regression. --- matrices. --- matrix structure. --- matrix. --- medicine. --- multidimensional data sets. --- multidimensional data. --- nondeterministic phenomena. --- null space. --- phenomena. --- probability distribution. --- row space. --- singular value decomposition. --- spatiotemporal data. --- spectral representation. --- square matrices. --- statistics. --- stochastic processes. --- subjective decisions. --- theoretical science. --- time series. --- timescale. --- tornado. --- variables. --- vectors.
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The present Special Issue collects a number of new contributions both at the theoretical level and in terms of applications in the areas of nonparametric and semiparametric econometric methods. In particular, this collection of papers that cover areas such as developments in local smoothing techniques, splines, series estimators, and wavelets will add to the existing rich literature on these subjects and enhance our ability to use data to test economic hypotheses in a variety of fields, such as financial economics, microeconomics, macroeconomics, labor economics, and economic growth, to name a few.
discrete duration models --- volatility feedback effect --- semiparametric estimation --- nonparametric method --- GLS detrending --- functional coefficients --- purified implied volatility --- country competitiveness index --- nonparametric frontiers --- efficiency --- materials balance condition --- panel data --- Dirichlet process prior --- classification --- indicators --- Kendall’s tau --- realised volatility --- Malmquist productivity index --- conditional dependence index --- wavelet --- dependent Bayesian nonparametrics --- TFP growth --- Solow economic growth convergence model --- unit root testing --- nonparametric 2SLS estimator --- random forests --- competitiveness --- slice sampling --- integrated difference kernel estimator --- maximum score estimator --- heterogeneous autoregressive model --- generalized additive models --- Monte Carlo --- tensor products --- cubic spline penalty --- M-estimation --- nonparametric copula --- leverage effect --- conditional quantile function --- emissions --- efficient semiparamteric estimation --- DEA --- tail dependence index --- difference kernel estimator --- nonparametric threshold regression --- machine learning --- factors --- local linear regression --- European Union --- financial development --- series estimator --- production efficiency
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