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A Stochastic Model of Economic Growth in Time-Space [PDF]
SIAM Journal on Control and Optimization, 2022 We deal with an infinite horizon, infinite dimensional stochastic optimal control problem arising in the study of economic growth in time-space. Such problem has been the object of various papers in deterministic cases when the possible presence of stochastic disturbances is ignored.
Gozzi, Fausto, Leocata, Marta
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Why choose wisely if you have already paid? Sunk costs elicit stochastic dominance violations [PDF]
Judgment and Decision Making, 2018 Sunk costs have been known to elicit violations of expected utility theory, in particular, the independence or cancellation axiom. Separately, violations of the stochastic dominance principle have been demonstrated in various settings despite the fact ...
Ryan K. Jessup +2 more
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Validation of Stock Price Prediction Models in the Conditions of Financial Crisis
Mathematics, 2023 The distribution laws of various natural and anthropogenic processes in the world around us are stochastic in nature. The development of mathematics and, in particular, of stochastic modeling allows us to study regularities in such processes. In practice,
Vesela Mihova +4 more
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Engineering Reports, 2021 Box‐Jenkins methodology is one of the most famous modeling approaches to describe the underlying stochastic structure and forecasting future values of various phenomena.
Samrad Jafarian‐Namin +3 more
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Economies, 2022 Dynamic Stochastic General Equilibrium (DSGE) models are widely used as a tool for policy decision-making. These models lost their fame when they could not predict the crisis in 2008 and could not address policy problems afterward.
Ayesha Zehra, Amena Urooj
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Data-Driven Discovery of Stochastic Differential Equations
Engineering, 2022 Stochastic differential equations (SDEs) are mathematical models that are widely used to describe complex processes or phenomena perturbed by random noise from different sources.
Yasen Wang +14 more
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Analysis of Household Income Dynamics in the Russia Based on the RLMS Database
Финансы: теория и практика, 2022 The goal of the study is to estimate the parameters of the stochastic wage process using data from the Russian Longitudinal Monitoring Survey of Higher School of Economics (RLMS-HSE).
E. V. Martyanova, A. V. Polbin
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Modeling financial interval time series. [PDF]
PLoS ONE, 2019 In financial economics, a large number of models are developed based on the daily closing price. When using only the daily closing price to model the time series, we may discard valuable intra-daily information, such as maximum and minimum prices.
Liang-Ching Lin, Li-Hsien Sun
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Bayesian Subset Selection of Seasonal Autoregressive Models
Mathematics, 2023 Seasonal autoregressive (SAR) models have many applications in different fields, such as economics and finance. It is well known in the literature that these models are nonlinear in their coefficients and that their Bayesian analysis is complicated ...
Ayman A. Amin +3 more
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Papeles, 2019 In this article we present the consequences of introducing the advanced teaching of the DSGE (Dynamic Stochastic General Equilibrium) models to undergraduate economics programs.
Álvaro Moreno Rivas
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