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Questions tagged [impulse-response]

The response of an endogenous system to an exogenous shock. This is an important topic in time-series econometrics.

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18 views

VECM Impulse Response Function: Interpretation of Results

I estimated a VECM and generated Generalised Impulse Response Functions based on Johansen Cointegration. Below is an output of two response variables to a shock in GDP. My issue is, I have strong ...
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10 views

How to interpret impulse-response functions in relation to beta and alpha coefficients?

How do I interpret impulse-response functions (IRFs) in relation to beta and alpha coefficients obtained from a Johansen cointegration test? For instance, my target (normalized) variable Y has a speed ...
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18 views

Deseasonalize data AND deflate with CPI?

I have property return variables and economic variables that I am using in a VECM/VAR to generate Impulse Response Functions. I have deflated my data with CPI, but do I also have to deseasonalize the ...
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28 views

Impulse Response Functions R: Transitory Shocks for Non-Stationary Data

I am working on generating Impulse Response Functions via the VECM and VAR models, an hence have data that is non-stationary in levels, stationary in first differences and cointegrated. My IRFs ...
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26 views

VECM and Impulse Response Functions in R: Trend and Stationarity [duplicate]

I am looking to ultimately generate Impulse Response Functions and plotting them for a set of variables. These variables are all non-stationary in levels when a lag order of 5 is selected. They are ...
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32 views

Impulse responses - Mean, Median or Point estimate?

Im thinking about what is the most reasonable way to plot impulse responses in a simple OLS VAR model independent of the identification strategy. ${Y}_t = A_1{Y}_{t-1}+ U_t$ I have learned that the ...
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7 views

orthogonal Impulse response function for VAR model

As a beginner, If I have a VAR(1) model with only two variables (means system of two equations) how can we estimate orthogonal impulse reponse function step-by-step. Is there any article or document ...
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19 views

VAR obtained from vec2var() and and regular VAR giving different IRF and OIRF

I am currently trying to generate the orthogonal impulse response functions (OIRF) of a VECM with two variables. Both variables are I(1) and there is definitely a cointegration at all levels as tested ...
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1answer
21 views

Generalized Impulse responses VAR(2)

I have a VAR(2) model: $\textbf{y}_t=\textbf{A}_1\textbf{y}_{t-1}+\textbf{A}_2\textbf{y}_{t-2}+\textbf{u}_t$ where $\textbf{y}_t$ is a 2x1 vector, $\textbf{A}_1, \textbf{A}_2$ are two 2x2 matrices ...
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20 views

Impulse Responses Generation in Vector AutoRegression in EViews

I have all the positive time series data of 6 variables. On these six variables, I have applied VAR model and want to generate impulse response functions. But impulse response functions are not ...
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36 views

How to interpret impulse response analysis in VAR when using standardized variables?

How to interpret impulse response analysis when using standardized variables (ie., subtracting the mean and divide by standard deviation) in vector autoregression analysis? The reason why I ...
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1answer
152 views

The theory behind fitting an ARIMAX model

I'm very familiar with the theoretical underpinnings of ARIMA/SARIMA models but I've been struggling to understand the theory behind fitting an ARIMAX model. I'm not looking for a practical ...
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25 views

Removing Influence of Other Time Series in Multivariate TS Analysis

I have some non-periodic time series that are all correlated. In the absence of the others, each time series would consist of a set of responses to events. I don't know the duration or shape of each ...
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27 views

Orthogonalised Impulse Response Functions in Stata

This might be a really basic question for some of you but I have been looking up how to interpret impulse responses but most of the answers that were presented did not quantify the responses but ...
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9 views

Impulse response function from dlmMLE estimates

Is there an alternative to the irf() function in R, which can be manually specified? I have estimated parameters of a state-space model via ...
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53 views

Impulse response function for MIDAS regression

Consider a MIDAS regression with a single high-frequency regressor $x_{t/m}$ that is observed $m$ times for every observatoin of a low-frequency regressand $y_t$: $$y_t= \sum_{i=1}^p \alpha_i y_{t-i}+...
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54 views

Correcting for ARCH effect in VAR and impulse response results

I find significant ARCH effect in my series when running a VAR analysis $Y_t=(y_{1,t};y_{2,t};y_{3,t};y_{4,t};y_{5,t})^\top$ I have two questions: Does the ARCH effect impact the impulse response ...
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1answer
812 views

Interpretation of the Impulse Response Function - VAR Estimation

I have some issues while discussing and interpreting this impulse response function (the graphics analysis). What do they mean and represent economically? What can the conclusions be? Basically ...
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45 views

Cointegration: comparing IRF for the univariate ECT, versus for the multivariate VECM?

Assume we have $k$ I(1) variables, cointegrated of rank $r = 1$. By cointegration, I know that the error-correction term (ECT) is itself a I(0) univariate process. Assume now I am interested in the ...
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1answer
352 views

Impulse response: Interpreting shock and response for log-variables

I have a question related to the interpretation of Impulse Response Function (IRF) functions. Assume we do have two time-series that have been both log-transformed and are stationary. When applying a ...
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26 views

Impulse response for general VAR lag-p model: when does it converge?

Consider the VAR lag-p model: $$Bx_t = \Gamma_0 + \sum_{i=1}^p\Gamma_i x_{t-i} + \epsilon_t,\quad x_t\in\Bbb R^n,\,\forall t\in\Bbb Z$$ Setting $B$ to be upper-triangular and $A_0:=B^{-1}\Gamma_0,\,...
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1answer
186 views

Direction of orthogonalization in the `vars` package in R

I could not find anything in the documentation of this package R vignette of vars package or anywhere else on the internet. In case one estimates orthogonalized impulse response functions, the ...
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1answer
526 views

Can I use a VAR in first differences despite having co-integrated data?

I have two variables. Both are I(1), so non-stationary in levels but stationary in first differences. However, having run some tests, I find that both are co-integrated. Based on my statistics ...
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18 views

Modelling different types of responses to a series of drug concentrations

I have been performing dose response experiments on cancer and control patients for cell counts, apoptosis (flow cytometry DAPI-AnnexinV staining), intracellular protein staining on flow cytometry and ...
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1answer
137 views

Fluctuation in Impulse Responses

I try to set up a basic first differences VAR_Model: when I plot the IRF it looks like this: The fluctuation seems suspiciously wrong to me. Of course, the coefficients in my model also change the ...
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1answer
65 views

About modelling transient effect on time series

I'm working on a time series model which predicts daily sales. Below is a simplified depiction of the time series I'm trying to model. It is a stationary series and it takes certain 'shock'(drastic ...
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1answer
6k views

Interpretation of Impulse Response and Variance Decomposition Graphs

I am finding it difficult to interpret the following Impulse response and variance decomposition graphs-basically studying the effect of currencies on each other(I know the results from the Granger ...
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91 views

Transform the sd of slope into that of the corresponding elasticity - for impulse response function estimates

As the title implies, I want to transform the sd of slope into the sd of the corresponding elasticity, particularly, in the context of impulse response function in VAR model. Some background ...
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1answer
50 views

Looking for techniques to understand the impact of a discrete events (interventions) on a continuous response variable in time series

I am trying to model the effect of one or more discrete interventions (e.g., taking a pill, attending therapy) on a continuous outcome (e.g., pain level of a patient over time). The features are ...
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1answer
2k views

How to explain and interpret impulse response function (for timeseries)?

I am wondering how impulse response captures information differently than other statistical techniques such as cross_correlation? To elaborate on what I mean, I will describe an example I encountered. ...
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433 views

SVAR and Impulse Response function

i cannot figure the difference between a VAR (vector autoregressive) and the Structural VAR (SVAR). Beside the math, I would like to have a simple explanation of how the SVAR differs from the VAR. ...
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1answer
619 views

Cholesky Shock - Interpretation of logs in IRF Models

I came across a few articles here and there that conclude: When the data (say variables X, Y) for an impulse response function are on log level, the y-axis depicts the % response of Y to a 1% shock ...
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268 views

Calculating orthogonalized impulse response functions for vector error corrrection models

Background: I am working on orthogonal impuls response functions (OIRFs) for vector error correction models (VECMs). Its an exercise to develop understanding. I am given a bivariate VECM: $$ \Delta ...
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566 views

FAVAR impulse responses

I am doing FAVAR analysis with two-step principal component method. I have estimated VAR including factors obtained using principal component analysis and assumption that variables can be divided to ...
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1answer
388 views

Can I use binary variables in VAR? How to interpret the IRF?

I am trying to forecast a time series based on other monthly time series variables. The variables are: endog -> number of users; exog -> marketing campaigns(in euros), Number of Updates, number of ...
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2answers
556 views

Is normality of residuals necessary for drawing conclusions from Impulse Response function

I know the issue of normality of residuals has been discussed here quite a lot, and I've learned that there are some cases in which it can be a less important hypothesis to test, while more critical ...
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381 views

IRF function with several exogenous covarites (SVAR model)

How to interpret an IRF function with exogenous covariates. Example: Small open economy which I control for foreign variables (Endogenous variables cannot influence the exogenous variables). The ...
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122 views

Extension to IRF functions for Cointegrated VAR model?

I have question relating to how to interpret an Impulse response function in a system of 5 endogenous non-stationary variables (GDP, Investment, Uncertainty index, Interest rate and inflation rate) ...
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1answer
42 views

Appropriate technique to extract the response function of a time series to two (or more) irregularly recurring stimuli

Say I poll a teenager every day about his overall happiness. Perhaps this has some long term trend, perhaps it has some short term trend. For sure, it is a noisy variable. Over the relevant time ...
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1answer
2k views

Standard deviation in impulse response function and significance of IRF

I have a VAR model and at this moment I'm using Gretl software. Gretl computes shock of IRF as one standard deviation and I saw that in many papers it is interpreted this way either. But I don't ...
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1answer
137 views

When using a VAR, if all variables are insignificant will Impulse Response Functions still make sense?

I have implemented a VAR in Eviews using log first differenced time series data for four stock market indices and the Baltic dry index. The model had autocorrelation when the VAR was calculated on one ...
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1answer
239 views

VAR with 12 lags and irf function

My VAR-model contains 8 variables and 12 lags (lags determined by the information criteria), and the frequency of the variables is monthly (140 observations). When i am analyzing the irf function, ...
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1answer
571 views

Impulse response for cointegrated variables

I know that VAR should be employed only with stationary series. Is the same condition required for analysing impulse response? That is, should the impulse response be analysed on stationary variables ...
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240 views

IRF or CIRF after VAR with variables change of growth rates

I am analyzing the results of my VAR model, where the original non-stationary variables are presented as growth rates, and after differentiation they are interpreted as change of growth rates and used ...
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231 views

Defend autocorrelation in VAR model

I am creating an unrestricted VAR model with 9 variables and 12 lags (determined by LR, FPE and AIC, and is in line with theory). But the model still has some autocorrelation - the p-values of some of ...
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1answer
549 views

Test for impulse response with vector autoregression in R

I did a lot of VAR modeling in R using the VAR functions, then, I wanted to do impulse response testing. My professor used the SVAR function, which I understand is for structured vector ...
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1answer
211 views

Impulse Response for Single Equation model

Can an impulse response be generated for a single equation model? For instance, can an impulse response be generated for an AR(p), and ARDL, or MS(m)-AR(p) models. I have seen the following link, but ...
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62 views

Procedure for Bjørnland & Leitemo (2009) methodology in R

I've been looking for a solution in R to estimate a structural VAR with long and short run restrictions as done in Bjørnland & Leitemo (2009), where they ...
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76 views

Do shocks to regime dependent impulse responses eventually return to 0 for a MS-VAR?

In VARs, the impulse response function reverts to 0. This indicates that the effect of the shock dies out. I have seen in VECMs (vector error correction models) that the impulse response functions (...
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596 views

Comparing Impulse Response Functions

I am estimating a structural VAR Model in levels with $p=3$ and plot orthogonalised impulse response functions. A structural VAR with p lags (sometimes abbreviated SVAR) is $B_0 y_t = c_0 + B_1 y_{...