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关键词： 宏观经济课堂   翻转课堂   应用研究  

摘要： 翻转课堂最早由Baker提出,自此该教学模式正式发展,并且被广泛应用于各个阶段的各类教学中。翻转课堂推动了传统教学理念的正式变革,有效整合了传统教学中的课内外时间,对调了课堂与课外的学习内容,给予学生自主学习的空间和时间,促进学生自主学习能力的养成。宏观经济学课堂是一门重要的课程,该课程理论性较强,涉及的知识点众多,翻转课堂教学模式的应用具有明显的优势。基于此,本文探讨了传统教学中宏观经济学课程存在的教学问题,并分析了翻转课堂应用于宏观经济学课堂的可行性,最后提出了翻转课堂模式的实施策略。

关键词： 宏观经济学   全英教学   教学方法   反馈机制   探索与改革  

摘要： 宏观经济学是经济管理类专业的基础理论课程,其全英课的实施有助于培养学生具有国际化视野和在英语环境中从事经济管理工作的能力。论文简述了高校开设宏观经济学全英课的重要意义,介绍了宏观经济学全英课教学模式,然后论文针对目前该课程全英教学实践中遇到的问题,重点讨论如何从改进教学方法、完善反馈机制两个方面对宏观经济学全英课教学工作进行探索与改革。

关键词： 物理经济学   宏观经济学   微观基础  

摘要： 从传统的角度看,宏观经济理论往往缺少微观基础,但是新古典革命和新凯恩斯革命都曾尝试在稳定的微观基础之上来进行宏观经济的分析研究。宏观经济学曾被认为是,在有约束条件限制的背景下,经济主体按照分析宏观经济的走向趋势采取最优化的措施,在采取这一措施的前提下确定宏观经济的总量,然而针对微观基础进行的研究也逐渐展现出其局限性。所以,本文以物理经济学为背景,对宏观经济学的微观基础进行分别研究,目的在于讨论分析进行预期机制等模式的研究中可能会出现的问题。

关键词： 宏观经济学   兴趣分组法   本土化  

摘要： 宏观经济学作为经管类专业的一门专业基础课,是一门较为枯燥而且难度系数较大的课程。对宏观经济学的教学改革应根据学生自身条件和教学目标进行内容框架调整,改革教学方法,引入本土案例等。宏观经济学的教学尽量结合国内和本地区的经济时事,采用生动的教学方式提高学习效果。

关键词： 经济学   沙盘模拟   课堂  

摘要： "经济学沙盘模拟实训"与"经济模拟实验教学"和"应用经济类沙盘实训"有着一定的差异,本文旨在厘清其差异的前提下,为"经济学沙盘模拟实训"设计个性化的教学目的与流程。并以宏观经济学中的"财政政策与货币政策"部分中经济学模拟沙盘教学运用为例,做出具象化的探讨。

关键词： 状态空间模型   贝叶斯方法   动态因子模型   时间序列分析   宏观经济学  

摘要： 《实证宏观经济学:贝叶斯多元时间序列方法》[英]格里·库普,迪米特里斯·克罗比利斯著/李力,郝大鹏,王博译/东北财经大学出版社/2018. 9作者简介格里·库普,英国斯克莱德大学商学院教授,主要从事贝叶斯时间序列分析等研究,在‘Review of Economic Studies’‘Journal of Monetary Economics’等顶尖杂志发表论文数十篇。迪米特里斯·克罗比利斯,英国埃塞克斯大学商学院教授,主要从事时间序列分析和贝叶斯计量等研究,在‘Journal of Econometrics’‘International Economic Review’等一流杂志发表论文数十篇。

关键词： Asset Pricing   Banking   Monetary Economics   Regulation and Supervision  

摘要： In the wake of the financial crisis of 2007-2009, academics and policymakers have worked to empirically quantify macro-financial linkages. This dissertation contributes to this debate by covering two broad themes. First, substantial changes in bank regulation and supervision typically follow financial crises. Quantifying the impact of these new policies is of paramount importance to academics and policymakers. To this end, my research in this area sheds light on the ways in which changes in financial stability policy ultimately affect the economy. Bank stress testing has become a major tool of supervisory policy in the past decade. The first chapter, The Real Effects of Stress Testing, uses the introduction of annual stress testing of large U.S. banks in 2009 as a quasi-experiment to examine whether bank supervisory policies affect real economic activity. While stress-tested banks reduced their risk exposure to large corporate loans, foreign banks mostly offset this shock and enabled firms to continue borrowing after the test. However, speculative grade firms that were highly exposed to stress-tested banks borrowed on worse terms after the test, and subsequently reduced fixed investment and employment. In contrast, highly exposed investment grade firms received new loans and expanded intangible investment. This paper provides insights into the effects of stress testing on the reallocation of risks in the financial system and the consequences for real economic activity. The structure of the U.S. mortgage market has experienced dramatic changes in recent years, as Fannie Mae and Freddie Mac (the major government-sponsored enterprises or GSEs) faced substantial reforms to their business practices. An important feature of regulatory reform included changing the pricing of loan guarantees on mortgage-backed securities insured by the GSEs, in particular removing the subsidy paid by small lenders to large lenders in 2012. The second chapter of this dissertation, Lender Cro

关键词： 宏观经济学   “金融支柱”   金融学理论   金融规律   金融危机  

摘要： 由于金融危机具有较大的破坏性,所以学者加深了对经济学的研究、分析,重视对"金融支柱"的重建。在本文的分析中,首先阐述了宏观经济学的"金融支柱"的内涵,然后从不同的角度入手,分析宏观经济学的"金融支柱"建设的方式,以期为相关人员提供参考。

关键词： 通识教育   宏观经济学   高校教学  

摘要： 通识教育是存在普遍意义的教育。其教育目的为受学者在多元化的社会中,提供不同于人群的时间与价值观。而宏观经济学大量研究数据、理论得出结果。在两者相结合下,运用通识教育的方式教学宏观经济学,能让学生得到更加全面的发展,培养学生品质与学识的双向发展。就该问题而探讨,以期在通识教育的方式下能更加适合的展现宏观经济学的教学方法。

关键词： Economics   Economic theory  

摘要： Bayesian empirical macroeconomic models are excellent tools for prediction and structural analysis. The use of a prior distribution facilitates model averaging, allows for structural identification of multiple time series models and makes estimation of high-dimensional models feasible. However, prior distributions need to be chosen carefully in order to accurately reflect the researcher's beliefs before looking at the data. I exemplify how to do so in this thesis by employing model averaging techniques in Bayesian spirit, by developing tools to express priors for structural vector-autoregressive models, and by showing a new approach to identify the impact of variations in uncertainty in a data-intensive environment. In the first chapter, which is based on joint work with Tigran Poghosyan, we use an Early Warning System (EWS) to recover leading indicators of fiscal distress events. In particular, we use Extreme Bounds Analysis (EBA), a model averaging approach introduced by Leamer (1985) and popularised by Sala-i-Martin (1997), to assess the robustness of leading indicators for fiscal distress across different models. We find that both fiscal and non-fiscal leading indicators are robust predictors of fiscal distress events. In a second step we assess the forecasting performance of an EWS based on the most robust leading indicators. We find that it offers a gain in predictive power compared to a baseline model which is based on fiscal leading indicators only. Lastly, we assess the robustness of these results across various model specifications, subsamples and estimation strategies. In the second chapter, which is based on joint work with Michele Piffer, we propose a new approach to express prior beliefs on the impulse responses of structural vector auto-regressive (SVAR) models. This approach does not restrict the family of prior distributions to a set that is technically convenient. Rather, it combines extensive flexibility in the choice of priors with an efficient i