書目名稱Dynamic General Equilibrium Modeling影響因子(影響力)學(xué)科排名
書目名稱Dynamic General Equilibrium Modeling網(wǎng)絡(luò)公開度
書目名稱Dynamic General Equilibrium Modeling網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Dynamic General Equilibrium Modeling被引頻次
書目名稱Dynamic General Equilibrium Modeling被引頻次學(xué)科排名
書目名稱Dynamic General Equilibrium Modeling年度引用
書目名稱Dynamic General Equilibrium Modeling年度引用學(xué)科排名
書目名稱Dynamic General Equilibrium Modeling讀者反饋
書目名稱Dynamic General Equilibrium Modeling讀者反饋學(xué)科排名
作者: 難理解 時(shí)間: 2025-3-21 23:32 作者: 使混合 時(shí)間: 2025-3-22 04:16 作者: murmur 時(shí)間: 2025-3-22 04:42 作者: 持久 時(shí)間: 2025-3-22 12:40 作者: BILIO 時(shí)間: 2025-3-22 13:31
Internationales Polarjahr 2007/2008ization step is simple. We just need to search for the maximal element among n. Yet, the value function of an .-dimensional problem with . different points in each dimension is an array of . different elements and the computation time needed to search this array may be prohibitively high.作者: BILIO 時(shí)間: 2025-3-22 19:20 作者: SPURN 時(shí)間: 2025-3-22 23:14
Grundlagen der betrieblichen Optimierung,iteria to determine the goodness of the fit between the true but unknown function and its polynomial representation. These criteria prevent the problem that we encountered in the previous chapter, namely, that it may be difficult to increase precision by using a higher degree polynomial. 3) Some of 作者: Orthodontics 時(shí)間: 2025-3-23 01:52
Allokationstheorie und Wirtschaftspolitikharacteristics including their abilities, their education, their age, their marital status, their number of children, their wealth holdings, to name but a few. As a consequence it is difficult to define a representative agent. Simple aggregation may sometimes not be possible or lead to wrong implica作者: anthropologist 時(shí)間: 2025-3-23 05:50 作者: TRUST 時(shí)間: 2025-3-23 10:52 作者: 思考而得 時(shí)間: 2025-3-23 13:52 作者: 空洞 時(shí)間: 2025-3-23 19:33
Basic Modelstimal time path of consumption; dynamic programming delivers a policy function that relates the agent‘s choice of current consumption to his stock of capital. Both characterizations readily extend to the stochastic version of the infinite-horizon Ramsey model that we introduce in Section 1.3. In Sec作者: intrigue 時(shí)間: 2025-3-24 00:17
Deterministic Extended Pathtions path for its variables. From this path we obtain the solution for the decision variables of the current period. This observation dates back to Fair and Tay l o r (1983) and was applied to the stochastic Ramsey model by Gagnon (1990) from whom we borrowed the label ‘deterministic extended path‘作者: bonnet 時(shí)間: 2025-3-24 05:39
Discrete State Space Methodsization step is simple. We just need to search for the maximal element among n. Yet, the value function of an .-dimensional problem with . different points in each dimension is an array of . different elements and the computation time needed to search this array may be prohibitively high.作者: PALMY 時(shí)間: 2025-3-24 08:20
Parameterized Expectationsarlo techniques to determine their parameters..The PEA has several advantages vis-a-vis both the value function iteration approach and the extended path algorithm. In contrast to the former, it does not suffer as easily from the curse of dimensionality and, therefore, can be applied to models with m作者: 變量 時(shí)間: 2025-3-24 12:59 作者: Pde5-Inhibitors 時(shí)間: 2025-3-24 15:59 作者: 諂媚于人 時(shí)間: 2025-3-24 19:26
Dynamics of the Distribution function change in the unemployment compensation system. In the third section, we consider a model with aggregate risk. There are many ways to introduce aggregate risk, but we will focus on a simple case. We distinguish good and bad times which we identify with the boom and recession during the business cyc作者: Albumin 時(shí)間: 2025-3-24 23:11 作者: GRIPE 時(shí)間: 2025-3-25 05:02 作者: 驚惶 時(shí)間: 2025-3-25 10:59
stribution economics. Applications include the dynamics of the income distribution over the business cycle or the overlapping-generations model...In an accompanying home page to this book, computer codes to all978-3-540-85685-6作者: ascetic 時(shí)間: 2025-3-25 14:18
Basic Models the algorithms presented in subsequent chapters that use one out of two possible characterizations of a model‘s solution. Second, we develop standard tools in model building and model evaluation used throughout the book..The most basic DGE model is the so called Ramsey model, where a single consume作者: RADE 時(shí)間: 2025-3-25 18:18 作者: Judicious 時(shí)間: 2025-3-25 20:05
Deterministic Extended Path The first section of this chapter employs a non-linear equations solver to obtain the approximate time profile of the optimal capital stock. We then extend this approach to the infinite-horizon deterministic Ramsey model of Section 1.2. At first sight this may seem impossible since this model has a作者: 公社 時(shí)間: 2025-3-26 00:41
Discrete State Space Methodss case, the value function is a finite dimensional object. For instance, if the state space is one-dimensional and has elements . = {.,., …,.}, the value function is just a vector of . elements where each element gives the value attained by the optimal policy if the initial state of the system is . 作者: FOR 時(shí)間: 2025-3-26 07:40
Parameterized Expectationsilibrium (DGE) model: (1) in terms of a policy function that relates the model‘s decision or control variables to the model‘s state variables or (2) in terms of a system of stochastic difference equations that determines the time paths of the model‘s endogenous variables. The method presented in thi作者: Abduct 時(shí)間: 2025-3-26 09:11
Projection Methodsns and determines the best approximation via Monte-Carlo simulations. In this chapter, we also employ methods from function approximation. Yet, these methods are not limited to functions that determine the agents‘ conditional expectations, nor do they necessarily resort to simulation techniques to f作者: Condescending 時(shí)間: 2025-3-26 12:36 作者: 孵卵器 時(shí)間: 2025-3-26 18:08
Dynamics of the Distribution functionhat this amounts to compute the law of motion for the distribution function .(?, α) of wealth among agents. In the second section, we concentrate on an economy without aggregate uncertainty. The initial distribution is not stationary. For example, this might be the case after a change in policy, e.g作者: 使習(xí)慣于 時(shí)間: 2025-3-26 22:10
Deterministic Overlapping Generations Modelsealth, but also with regard to their age. First, you will learn how to compute a simple overlapping generations model (OLG model) where each generation can be represented by a homogeneous household. Subsequently, we study the dynamics displayed by the typical Auerbach-Kotlikoff model. We will pay pa作者: 寬容 時(shí)間: 2025-3-27 04:50 作者: Foregery 時(shí)間: 2025-3-27 06:08 作者: collagenase 時(shí)間: 2025-3-27 11:49
Stadt der Wissenschaft Braunschweig 2007e agent‘s choice variables to the state variables that characterize the agent‘s economic environment. In this chapter we explore methods that use local information to obtain either a linear or a quadratic approximation of the agent‘s policy function.作者: countenance 時(shí)間: 2025-3-27 15:23
Modelle der politischen Einflussnahme material gathered here is found in any undergraduate textbook on linear algebra as, e.g., L. (1987). For the more advanced subjects B. (1989) as well as G. and V. L. (1996) are good references. In addition, many texts on econometrics review matrix algebra, as, e.g., G. (2003), Appendix A, or J. et al. (1982), Appendix A.作者: Ballerina 時(shí)間: 2025-3-27 19:07 作者: 木訥 時(shí)間: 2025-3-28 01:33
http://image.papertrans.cn/e/image/283604.jpg作者: 高調(diào) 時(shí)間: 2025-3-28 04:51 作者: RACE 時(shí)間: 2025-3-28 06:26 作者: 忍耐 時(shí)間: 2025-3-28 13:01 作者: 桉樹 時(shí)間: 2025-3-28 18:08
Internationales Polarjahr 2007/2008s case, the value function is a finite dimensional object. For instance, if the state space is one-dimensional and has elements . = {.,., …,.}, the value function is just a vector of . elements where each element gives the value attained by the optimal policy if the initial state of the system is . 作者: 暗諷 時(shí)間: 2025-3-28 19:49
Wissenschaftsjahr 2008 — Die Mathematikilibrium (DGE) model: (1) in terms of a policy function that relates the model‘s decision or control variables to the model‘s state variables or (2) in terms of a system of stochastic difference equations that determines the time paths of the model‘s endogenous variables. The method presented in thi作者: Facet-Joints 時(shí)間: 2025-3-29 00:30
Grundlagen der betrieblichen Optimierung,ns and determines the best approximation via Monte-Carlo simulations. In this chapter, we also employ methods from function approximation. Yet, these methods are not limited to functions that determine the agents‘ conditional expectations, nor do they necessarily resort to simulation techniques to f作者: OTTER 時(shí)間: 2025-3-29 06:29
Allokationstheorie und Wirtschaftspolitiktion of the individual state variable(s). While we focus on the computation of the stationary equilibrium in this chapter, you will learn how to compute the dynamics of such an economy in the next chapter..The representative agent framework has become the standard tool for modern macroeconomics. It 作者: 廢止 時(shí)間: 2025-3-29 09:21 作者: 秘傳 時(shí)間: 2025-3-29 12:46
Theorie wirtschaftspolitischer Reformenealth, but also with regard to their age. First, you will learn how to compute a simple overlapping generations model (OLG model) where each generation can be represented by a homogeneous household. Subsequently, we study the dynamics displayed by the typical Auerbach-Kotlikoff model. We will pay pa作者: 表狀態(tài) 時(shí)間: 2025-3-29 16:59
Ziele staatlicher Wirtschaftspolitikhese models are already familiar to you from previous chapters and will only be modified in order to allow for the more complex age structure of OLG models. In particular, we will apply the log-linearization from Chapter 2, the algorithm for the computation of the stationary distribution from Chapte作者: embolus 時(shí)間: 2025-3-29 23:36
Modelle der politischen Einflussnahme material gathered here is found in any undergraduate textbook on linear algebra as, e.g., L. (1987). For the more advanced subjects B. (1989) as well as G. and V. L. (1996) are good references. In addition, many texts on econometrics review matrix algebra, as, e.g., G. (2003), Appendix A, or J. et 作者: 事情 時(shí)間: 2025-3-30 01:18 作者: 濕潤 時(shí)間: 2025-3-30 07:29
