scholarly journals Market Integration and Causality: An Application to the Major Apple Markets in India

2021 ◽  
Vol 66 (1) ◽  
Author(s):  
Shilpa S
Keyword(s):  
Impulse Response ◽  
Response Function ◽  
Market Integration ◽  
Impulse Response Function ◽  
Price Transmission ◽  
Fruit Crops ◽  
Causality Test ◽  
Additional Information ◽  
Major Implication ◽  
The Government

Market integration and prices of fruit crops such as apple play an important role in determining the production decisions of apple farmers. In this context, the present study examines the degree of spatial market integration and price transmission across five major apple markets of the country, viz. Shimla, Chandigarh, Delhi, Bengaluru and Mumbai by adopting Johansen’s Cointegration Test, Grangers Causality and Impulse Response Function. The outcomes of the study strongly buttress the cointegration and interdependence of the apple markets in India. To get additional information on whether and in which direction price transmission is occurring between market pairs, Ganger’s Causality Test has been used, which has confirmed Shimla to be the price determining market as it has causal relations with all the selected markets. The Impulse Response Function supported that all the selected markets responded well to standard deviation shock given to any other market. The major implication of the study is further improvement in market integration situation through dissemination of price and arrival data efficiently and developing communication means with in the markets by the government.

Global Patents on 3D Printing: Revelations Based on Vector Autoregression Analysis for Three Decades

2016 ◽  
Vol 13 (06) ◽  
pp. 1750004 ◽  
Author(s):  
Rohit S. Kannattukunnel
Keyword(s):  
3D Printing ◽  
Impulse Response ◽  
Response Function ◽  
Time Series Data ◽  
Vector Autoregression ◽  
Impulse Response Function ◽  
Variance Decomposition ◽  
Series Data ◽  
Vec Model ◽  
The Government

Engineers and designers from automotive and aerospace sectors have been using 3D printing (3DP) for decades to build prototypes. However, 3DP became popular only recently. This paper is divided into three sections. Section 1 is introductory in nature, which deals with current trends, the modeling process of printing and deliberation on different categories of 3DP. Section 2 deals with the research methodology. An exquisite technique to study innovation dealing with time series data, called the vector autoregression (VAR), is performed to analyze the world patent data on 3DP, based on the information provided by the Government of UK and the International Monetary Fund (IMF). Section 3 attempts to forecast future trends on 3DP by using two techniques viz. impulse response function and variance decomposition. The VAR analysis performed revealed that GDP is not directly instrumental in the advancement in patenting of 3DP technology. Results captured by way of impulse response function suggest that when a shock is given to PR itself, it decreases sharply, whereas when a shock is given to investment, PR undergoes a steady decline. Thus, if there is any adverse shock imparted on investments, it directly reduces the patent ratio. Lastly, when an impulse is given to GDP, PR continuously increases, which implies that increase in GDP causes hike in investment which ultimately increases PR. The results of variance decomposition indicate that in the initial periods, PR itself explains the maximum variance, followed by the GDP and to the least by investment. The changes observed with the trend of explanatory character of variance imply that more investments in technology are instrumental in increasing patent ratio in the G7 countries as per the vector error correction (VEC) model developed here. Though during the nascent stage of emerging technologies investment in technology may not necessarily increase the patent ratio, the result obtained brings to light interesting insights.

scholarly journals Does the Repurchase Rate Affect Inflation in South Africa? An Empirical Analysis Using an Impulse Response Function

2014 ◽  
Vol 6 (7) ◽  
pp. 524-531
Author(s):  
Temitope L.A. Leshoro
Keyword(s):  
Impulse Response ◽  
Response Function ◽  
Inflation Rate ◽  
Structural Break ◽  
Impulse Response Function ◽  
Policy Instrument ◽  
Causality Test ◽  
Vector Autoregressive ◽  
Reserve Bank ◽  
Repo Rate

The repurchase rate (repo rate) is the most common monetary policy instrument that the South African Reserve Bank (SARB) uses to control inflation and endeavours to keep it within the inflation target band of 3% to 6%. This study examines the effect of the repo rate on inflation rate along with other variables using the Impulse-Response Function (IRF) of a Vector Autoregressive (VAR) technique. This study uses quarterly data spanning over the period 1980Q2 to 2013Q3. The response of a shock in repo rate on inflation rate and vice versa is generally positive. The results show that given one standard deviation shock in the repo rate, inflation rate will initially increase up until the second quarter after which it starts to decline, and increases again in the fifth quarter. The results obtained from the VAR granger causality test show that repo rate leads the gross domestic product (GDP) growth and inflation rate. There is bidirectional causality between inflation and repo rate; and the result is the same, even after structural break was accounted for. The VAR shows no evidence of instability and autocorrelation, hence the results are reliable. The study suggests some policy recommendations.

scholarly journals Investments, Economic Growth and Employment: VAR Method for Romania

2019 ◽  
Vol 14 (2) ◽  
pp. 231-244
Author(s):  
Vodă Alina Daniela ◽  
Duguleană Liliana ◽  
Dobrotă Gabriela
Keyword(s):  
Economic Growth ◽  
Impulse Response ◽  
Response Function ◽  
Negative Relationship ◽  
Impulse Response Function ◽  
Economic Life ◽  
Fiscal Policies ◽  
Causality Test ◽  
The Sustainable Development ◽  
Vector Autoregressive

Abstract Economic growth can be seen as an effect of both fiscal policies and different legislative norms applied at national and macroeconomic level. Investments are a determining factor in the evolution of socio-economic life, influencing also the employment rate. This paper aims to identify the influence of investments on economic growth and employment using the vector autoregressive model (VAR). Based on the quarterly data from Romania, between the first quarter of 2000 and the second quarter of 2018, the Granger causality test and the impulse - response function was applied to identify the effect of the investments on the sustainable development of the Romanian economy. The results revealed that investments in Romania influence the economic growth and, implicitly, the employment. In terms of impulse – response function, a negative relationship between investment and employment was identified, which may be due to the fact that the need for human resources is no longer a priority in some sectors of activity due to technology.

Fractional Vector-Order h-Realisation of the Impulse Response Function

2020 ◽  
Vol 14 (2) ◽  
pp. 108-113
Author(s):  
Ewa Pawłuszewicz
Keyword(s):  
Control Systems ◽  
Impulse Response ◽  
Response Function ◽  
Impulse Response Function ◽  
Linear Control ◽  
Linear Control Systems

AbstractThe problem of realisation of linear control systems with the h–difference of Caputo-, Riemann–Liouville- and Grünwald–Letnikov-type fractional vector-order operators is studied. The problem of existing minimal realisation is discussed.

scholarly journals Convolution-based time-domain simulation for fluidelastic instability in tube arrays

2021 ◽  
Author(s):  
Mingjie Zhang ◽  
Ole Øiseth
Keyword(s):  
Impulse Response ◽  
Response Function ◽  
Time Domain ◽  
Impulse Response Function ◽  
Time Domain Simulation ◽  
Unit Step ◽  
Tube Arrays ◽  
Unit Impulse ◽  
The Time Domain ◽  
Unit Impulse Response

AbstractA convolution-based numerical algorithm is presented for the time-domain analysis of fluidelastic instability in tube arrays, emphasizing in detail some key numerical issues involved in the time-domain simulation. The unit-step and unit-impulse response functions, as two elementary building blocks for the time-domain analysis, are interpreted systematically. An amplitude-dependent unit-step or unit-impulse response function is introduced to capture the main features of the nonlinear fluidelastic (FE) forces. Connections of these elementary functions with conventional frequency-domain unsteady FE force coefficients are discussed to facilitate the identification of model parameters. Due to the lack of a reliable method to directly identify the unit-step or unit-impulse response function, the response function is indirectly identified based on the unsteady FE force coefficients. However, the transient feature captured by the indirectly identified response function may not be consistent with the physical fluid-memory effects. A recursive function is derived for FE force simulation to reduce the computational cost of the convolution operation. Numerical examples of two tube arrays, containing both a single flexible tube and multiple flexible tubes, are provided to validate the fidelity of the time-domain simulation. It is proven that the present time-domain simulation can achieve the same level of accuracy as the frequency-domain simulation based on the unsteady FE force coefficients. The convolution-based time-domain simulation can be used to more accurately evaluate the integrity of tube arrays by considering various nonlinear effects and non-uniform flow conditions. However, the indirectly identified unit-step or unit-impulse response function may fail to capture the underlying discontinuity in the stability curve due to the prespecified expression for fluid-memory effects.

IMPROVING EXTRACTION OF IMPULSE RESPONSE FUNCTIONS USING STATIONARY WAVELET SHRINKAGE IN TERAHERTZ REFLECTION IMAGING

2010 ◽  
Vol 09 (04) ◽  
pp. 387-394 ◽  
Author(s):  
YANG CHEN ◽  
YIWEN SUN ◽  
EMMA PICKWELL-MACPHERSON
Keyword(s):  
Experimental Data ◽  
Impulse Response ◽  
Response Function ◽  
Impulse Response Function ◽  
Terahertz Imaging ◽  
Impulse Response Functions ◽  
Response Functions ◽  
Inverse Filtering ◽  
Wavelet Shrinkage ◽  
Gaussian Filtering

In terahertz imaging, deconvolution is often performed to extract the impulse response function of the sample of interest. The inverse filtering process amplifies the noise and in this paper we investigate how we can suppress the noise without over-smoothing and losing useful information. We propose a robust deconvolution process utilizing stationary wavelet shrinkage theory which shows significant improvement over other popular methods such as double Gaussian filtering. We demonstrate the success of our approach on experimental data of water and isopropanol.

Interest Rate–Economic Growth Nexus Under Currency Board Operations

2021 ◽  
Vol 8 (1) ◽  
pp. 13-24
Author(s):  
Martinianus Tshimologo Tibinyane ◽  
Teresia Kaulihowa
Keyword(s):  
Economic Growth ◽  
Interest Rate ◽  
Impulse Response ◽  
Response Function ◽  
Open Economy ◽  
Small Open Economy ◽  
Impulse Response Function ◽  
Policy Instrument ◽  
Variance Decomposition ◽  
Currency Board

This paper analyses the effect of the prime interest rate as a monetary policy instrument to stimulate economic growth in Namibia, a small open economy that is constrained by currency board operations. A Vector Autoregressive Model (VAR) was used for the period 1980–2019. The result shows that Namibia’s prime interest rate has no significant effect on economic growth. This finding remains robust and consistent when impulse response function and variance decomposition are employed. The impulse response function indicates a shock on the prime interest rate exhibits an inverse relationship. However, this effect is insignificant in both short and long-run scenarios. The variance decomposition indicates that the prime interest rate has a strongly exogenous impact, implying it has a weak influence on GDP growth. Policy implication indicates that small open economies under currency board operations need to identify different policy responses to circumvent external shocks and addresses their development needs.

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