scholarly journals A Bayesian Poisson Vector Autoregression Model

2012 ◽  
Vol 20 (3) ◽  
pp. 292-315 ◽  
Author(s):  
Patrick T. Brandt ◽  
Todd Sandler

Multivariate count models are rare in political science despite the presence of many count time series. This article develops a new Bayesian Poisson vector autoregression model that can characterize endogenous dynamic counts with no restrictions on the contemporaneous correlations. Impulse responses, decomposition of the forecast errors, and dynamic multiplier methods for the effects of exogenous covariate shocks are illustrated for the model. Two full illustrations of the model, its interpretations, and results are presented. The first example is a dynamic model that reanalyzes the patterns and predictors of superpower rivalry events. The second example applies the model to analyze the dynamics of transnational terrorist targeting decisions between 1968 and 2008. The latter example's results have direct implications for contemporary policy about terrorists' targeting that are both novel and innovative in the study of terrorism.

2020 ◽  
Vol 2 (1) ◽  
pp. 55
Author(s):  
Fadhliah Yuniwinsah ◽  
Ali Anis

This study examined the causality between expansionary fiscal policy, expansionary monetary policy and economic growth in Indonesia’s using a time series data with vector autoregression model (VAR) in the period of 1969-2018. The results of this study showed that are there is no causality between expansionary fiscal policy and expansionary monetary policy but there one-way relationship between them, it is the expansionary monetary policy gives influence to expansionary fiscal policy. There is no causality between expansionary fiscal policy and economic growth but there one-way relationship between them, It is economic growth gives influence to expansionary fiscal policy. And there is no causality between expansionary monetary policy and economic growth but there one-way relationship between them, it is economic growth gives influence to expansionary monetary policy.


2009 ◽  
Vol 50 ◽  
Author(s):  
Ana Čuvak ◽  
Žilvinas Kalinauskas

Inflation is a constant and consistent increase in the general price level in the country, due to which the purchasing power of a national currency unit decreases. In practice, the measures of inflation are various price indices, such as a consumer price index (CPI), producer price index (PPI), or gross domestic product deflator. However, inflation is usually defined as a change in the HCPI over a year. Time series models, linear regression models and a vector autoregression model (VAR) can be used to model and forecast inflation processes. This paper examines Lithuanian consumer price inflation using a modern stationary time series and econometric theory. The vector autoregression model is proposed for inflation modelling. Theoretical aspects of model estimation are reviewed: time series stationarity, model identification, parameter estimation, model usage and forecasts. The stationarity of the HCPI index and exogenous variables are analyzed using the Augmented Dickey–Fuller (ADF) test. A vector autoregression model of Lithuanian inflation processes is investigated and proposed for inflation modelling. The obtained model is used for forecasting purposes and shows a fairly high degree of accuracy of the  inflation forecast in the coming 12-month period.


2018 ◽  
Vol 63 (1) ◽  
pp. 1
Author(s):  
Ambar Galih ◽  
Sugiharso Safuan

Money (inflation) has played a vital role in economic growth. However, the nexus between them has always drawn mesmerizing debates. From the thoughts of Classical and Keynes which argued the existence of money neutrality, to the level of empirical studies which find either positive or negative correlation between inflation and economic growth. Recent studies concerning the debatable relationship have evolved it into a hypothesis whether the relation is nonlinear with a threshold or a point where the link switches. This study aims to re-examine the causality between inflation and economic growth in ASEAN-5 countries period 2000Q1–2016Q4. The results based on Threshold Vector Autoregression model indicate the presence of a nonlinear relationship between the two variables.


Author(s):  
Idah Zuhroh ◽  
Hendra Kusuma ◽  
Syela Kurniawati

A control of the inflation rate caused by the fluctuations in foreign exchange reserves, money supply, and exchange rate is required to create the stability of the country's economy. This study aims to analyze the dynamic impact of disturbance factors contained in the variables of foreign exchange reserves, the money supply, and the exchange rate. This research used monthly data from June 2009 to November 2016. It used a method used of Vector Autoregression. The result shows that a foreign exchange reserve has a negative relationship nut not significant effect on inflation, money supply has positive relationship and significant effect on inflation, and exchange rate of rupiah to US dollar has negative relationship and significant effect on inflation. The responce of inflation from shocking occurs to supply, foreign exchange reserves and exchange rate tend to be convergent and the biggest contribution that influences inflation the most is exchange rate beside inflation itself.


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