基于時(shí)變參數(shù)狀態(tài)空間模型的我國通貨膨脹動(dòng)態(tài)影響因素研究
[Abstract]:Inflation is one of the important subjects of macroeconomic management in China. The study of inflation has always been one of the hot topics in academic circles. Through extensive reference to domestic and foreign literature on the influence factors of inflation, it is found that most of them are studied separately from money, demand, cost, input factors and so on, and there are also a number of comprehensive factors to study. However, the comprehensive selection of indicators is open to question. Based on this, this paper selects several factors including currency, economic output, cost, international resource price, agricultural product price, financial market and real estate market, and adopts time-varying parameter state space model. This paper studies the factors that have significant influence on inflation in each cycle of inflation, and analyzes the dynamic changes of the degree of influence of each factor on inflation in the sample period. This model is more reasonable than the static model such as VAR,SVAR, which is more in line with the actual economic situation, and has more reference value for the government and other relevant departments to carry out macroeconomic management. Based on the availability of data, this paper collects and studies the dynamic effects of various factors on inflation in China from January 2000 to December 2016. The main results are as follows: (1) from 2003 to 2005, inflation was mainly affected by the price of GDP, agricultural products, real estate market and other factors. Demand-driven inflation .2006-2009 inflation is mainly affected by the exchange rate, the price of agricultural products, the international price of agricultural products and other factors, among which the exchange rate factors have the greatest impact on inflation. The inflation in 2010-2012 is mainly affected by the price of agricultural products, the exchange rate, the international price of agricultural products, and so on, among which the price of agricultural products is the most affected. This is manifested in structural inflation. In 2013-2016, inflation was mainly affected by agricultural product prices, GDP, exchange rates and other factors, among which the price of agricultural products had the greatest impact, as shown by structural inflation. (2) overall, from 2003-2016, the exchange rate factor, The price of agricultural products (GDP), real estate market factors, international agricultural product prices and international energy prices have a very significant positive dynamic impact on inflation, among which the agricultural product price has the greatest influence, followed by the exchange rate factor. Money supply has no direct positive dynamic effect on inflation for a long time, and inflation may also be related to the flow direction of money supply. The effect of wage cost on inflation is not obvious. The international non-energy price has the suppression function to our country inflation. The dynamic effect of stock market on inflation is weak, and the wealth effect of residents is not obvious. In the near future, the price of agricultural products (GDP), real estate market, international agricultural product prices and exchange rate factors all have an increasing trend on the dynamic impact of inflation. Finally, based on the empirical analysis results of the time-varying parameter state space model, the corresponding macroeconomic management suggestions are put forward.
【學(xué)位授予單位】:廣東工業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:F822.5;F224
【相似文獻(xiàn)】
相關(guān)期刊論文 前10條
1 趙恩光;對(duì)歐美的試驗(yàn)、測量裝置的市場予測[J];工具技術(shù);1982年10期
2 謝衛(wèi)奇;;港口對(duì)區(qū)域經(jīng)濟(jì)的動(dòng)態(tài)影響實(shí)證研究[J];商業(yè)時(shí)代;2010年01期
3 陳國毅;張建升;;服務(wù)業(yè)勞動(dòng)生產(chǎn)率對(duì)就業(yè)的動(dòng)態(tài)影響[J];商業(yè)時(shí)代;2011年25期
4 曾偉;曾寅初;;食品安全事件對(duì)我國農(nóng)產(chǎn)品出口的動(dòng)態(tài)影響研究——以出口日本產(chǎn)品的毒餃子事件為例[J];蘭州學(xué)刊;2012年01期
5 付洪良;周應(yīng)恒;;棉花生產(chǎn)、國際貿(mào)易與紡織業(yè)的動(dòng)態(tài)影響分析[J];生態(tài)經(jīng)濟(jì);2011年10期
6 李琳;熊雪梅;;產(chǎn)業(yè)集群生命周期視角下的地理鄰近對(duì)集群創(chuàng)新的動(dòng)態(tài)影響——基于對(duì)我國汽車產(chǎn)業(yè)集群的實(shí)證[J];地理研究;2012年11期
7 白全民;徐立平;襲著燕;;山東省縣域經(jīng)濟(jì)空間格局演進(jìn)及其動(dòng)態(tài)影響機(jī)制[J];經(jīng)濟(jì)與管理評(píng)論;2013年03期
8 陳榮;賈建民;何楓;;后悔對(duì)消費(fèi)選擇傾向的動(dòng)態(tài)影響研究[J];系統(tǒng)工程理論與實(shí)踐;2005年12期
9 趙松山;關(guān)于經(jīng)濟(jì)系統(tǒng)的狀態(tài)空間模型及其構(gòu)建研究[J];南京財(cái)經(jīng)大學(xué)學(xué)報(bào);2004年03期
10 王雪峰;;中國金融穩(wěn)定狀態(tài)指數(shù)的構(gòu)建——基于狀態(tài)空間模型分析[J];當(dāng)代財(cái)經(jīng);2010年05期
相關(guān)會(huì)議論文 前4條
1 潘雄鋒;史曉輝;王蒙;;我國科技發(fā)展的財(cái)政金融政策效應(yīng)研究——基于狀態(tài)空間模型的分析[A];第七屆中國科技政策與管理學(xué)術(shù)年會(huì)論文集[C];2011年
2 劉貫春;岳意定;賀磊;;兩因子隨機(jī)死亡率狀態(tài)空間模型及長壽風(fēng)險(xiǎn)測度[A];第八屆(2013)中國管理學(xué)年會(huì)——金融分會(huì)場論文集[C];2013年
3 劉明明;顧興源;王偉;;基于狀態(tài)空間模型的隨機(jī)多變量廣義預(yù)測控制[A];1991年控制理論及其應(yīng)用年會(huì)論文集(上)[C];1991年
4 楊淑君;;基于狀態(tài)空間模型的我國房地產(chǎn)上市公司財(cái)務(wù)流動(dòng)性的實(shí)證研究[A];中國會(huì)計(jì)學(xué)會(huì)財(cái)務(wù)管理專業(yè)委員會(huì)2009年學(xué)術(shù)年會(huì)論文集[C];2009年
相關(guān)博士學(xué)位論文 前4條
1 何靜慧;實(shí)物交易指數(shù)的深度學(xué)習(xí):經(jīng)濟(jì)定價(jià)、統(tǒng)計(jì)識(shí)別和數(shù)據(jù)驅(qū)動(dòng)[D];浙江工商大學(xué);2017年
2 魯興舉;飛行器狀態(tài)空間模型參數(shù)在線辨識(shí)方法[D];國防科學(xué)技術(shù)大學(xué);2016年
3 陳學(xué)華;狀態(tài)空間模型理論與算法及其在金融計(jì)量中的應(yīng)用[D];暨南大學(xué);2007年
4 文巧鈞;基于狀態(tài)空間模型的復(fù)雜動(dòng)態(tài)過程監(jiān)測方法研究[D];浙江大學(xué);2015年
相關(guān)碩士學(xué)位論文 前10條
1 趙小盼;基于ARIMA與預(yù)期性指標(biāo)的我國通貨膨脹預(yù)測研究[D];青島大學(xué);2017年
2 時(shí)光;中國金融發(fā)展對(duì)貿(mào)易開放的動(dòng)態(tài)影響研究[D];復(fù)旦大學(xué);2012年
3 王瑞;稀疏縱向數(shù)據(jù)下狀態(tài)空間模型統(tǒng)計(jì)推斷問題研究[D];西安電子科技大學(xué);2014年
4 王雪;基于快速檢測的MIMO雷達(dá)真假彈頭識(shí)別技術(shù)研究[D];電子科技大學(xué);2015年
5 唐愛萍;線性混合效應(yīng)狀態(tài)空間模型的統(tǒng)計(jì)推斷及應(yīng)用[D];西安電子科技大學(xué);2014年
6 朱彥丞;我國新能源產(chǎn)業(yè)發(fā)展?fàn)顩r的實(shí)證分析[D];云南大學(xué);2016年
7 徐捷;碳纖維復(fù)合芯導(dǎo)線載流溫升狀態(tài)空間模型研究[D];南京理工大學(xué);2016年
8 郝艷婷;視頻行人檢測與跟蹤的方法研究[D];青島科技大學(xué);2016年
9 魯宗科;云南省旅游業(yè)與地區(qū)經(jīng)濟(jì)增長關(guān)系的實(shí)證分析[D];云南大學(xué);2016年
10 李彩雯;基于狀態(tài)空間模型的房地產(chǎn)“情緒指數(shù)”研究[D];海南師范大學(xué);2016年
,本文編號(hào):2253405
本文鏈接:http://sikaile.net/jingjifazhanlunwen/2253405.html