logo

Crowdly

Browser

Add to Chrome

4EK631 Econometric Modelling (2025/2026 Summer)

Looking for 4EK631 Econometric Modelling (2025/2026 Summer) test answers and solutions? Browse our comprehensive collection of verified answers for 4EK631 Econometric Modelling (2025/2026 Summer) at moodle.vse.cz.

Get instant access to accurate answers and detailed explanations for your course questions. Our community-driven platform helps students succeed!

Select all correct statements about the finite distributed

lag model. Note that multiple answers may be correct. (A wrong answer will

result in negative points.)

❌
❌
✅
✅
View this question

Model the daily closing prices of DAX (Deutsche Aktienindex) on the prices of FTSE (Financial Times Stock Exchange) using a finite distributed lag model:

data(EuStockMarkets)

m3 <- lm(DAX[3:100] ~ FTSE[3:100] + FTSE[2:99] + FTSE[1:98], data=EuStockMarkets)

Report the long-run multiplier (propensity) using at least 2 decimal places.

View this question

Your task

is to model the 

linear trend in

the

flow of the River Nile

. Use

the following snippet of the script:

data("Nile")

Estimate

the following model using the

 lm function with a linear trend: 

Is the linear trend 

statistically

significant

?

0%
❌
0%
0%
View this question

Consider the following regression model with the dependent variable y_t and the linear trend:

where u_t is a random variable and betas are parameters of the model.

How would you decide whether the linear trend is significant?

❌
❌
✅
❌
View this question

Your task

is to model the 

linear trend

 in the daily closing prices of

the UK FTSE stock indices. Use the following snippet of the script:

data("EuStockMarkets")

y <-

EuStockMarkets[,"FTSE"]

Estimate

the following model using the 

lm function with a linear trend: 

Report

the coefficient for the linear trend.

Round the number to two decimal places!

View this question

Want instant access to all verified answers on moodle.vse.cz?

Get Unlimited Answers To Exam Questions - Install Crowdly Extension Now!

Browser

Add to Chrome