Linked Questions

1 vote
0 answers

interpreting results of a log-linear regression [duplicate]

I am running a log-linear regression model, using the Fatalities data set, where estimated regression is an outcome variable (Fatalities) and contains fixed effects for the year and state. I am taking ...
four77's user avatar
  • 61
0 votes
0 answers

Interpretation coefficient for log ratio as dependent variable and independent variable is 0-1 (percentage) [duplicate]

I'm struggling to follow the interpretation of the log coefficients. Union density represents the share of unionized households it is scaled between 0-1. The coefficient for union density is in my ...
Emil Scholten's user avatar
47 votes
8 answers

What is the reason why we use natural logarithm (ln) rather than log to base 10 in specifying function in econometrics?

What is the reason why we use natural logarithm (ln) rather than log to base 10 in specifying functions in econometrics?
user avatar
53 votes
1 answer

Regression: Transforming Variables

When transforming variables, do you have to use all of the same transformation? For example, can I pick and choose differently transformed variables, as in: Let, $x_1,x_2,x_3$ be age, length of ...
Brandon Bertelsen's user avatar
11 votes
2 answers

How to calculate confidence interval for a geometric mean?

Apologies if this is confusing at all, I'm very unfamiliar with geometric means. For context, my data set is 35 month-end portfolio values. I found the month to month growth rate [Month(N)/Month(N-1)] ...
randyvelour's user avatar
9 votes
1 answer

Why can I interpret a log transformed dependent variable in terms of percent change in linear regression?

Looking at resources such as this one and this one, you see claims like "Exponentiate the coefficient, subtract one from this number, and multiply by 100. This gives the percent increase (or ...
Data's user avatar
  • 484
5 votes
2 answers

Practical interpretation for $u_t = \log(x_t) - \log(x_{t-1})$

I have a time series $x_t$. If I use the transformation $u_t = log(x_t) - log(x_{t-1})$, my new time series $u_t$ has properties of white noise (random). I wonder whether there is any practical ...
Sam's user avatar
  • 2,184
1 vote
2 answers

Should I use 'median' instead of 'mean' for nonparametric distributions?

I have a dataset that I determined was nonparametric. If I want to do calculations like '% change', and find the average percentage change, should I really find the median percentage change instead of ...
Amelia's user avatar
  • 31
1 vote
1 answer

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 ...
WolfgangRtry's user avatar
0 votes
1 answer

Should i make correlation matrix of (1) first difference logarithm, (2) logarithm or (3) the natural numbers?

I am currently working on a project where I am looking at how prices are affected by changes in the exchange rates. For an example, I want to see how a change in my currency (Norwegian Kroner) affects ...
schix's user avatar
  • 1
0 votes
0 answers

Log-Level Model Parameter

Consider we have a population regression function (log-level model) with only one independent variable: $$\log(y) = B_0 + B_1 \times x_1+u$$ In order to find the relationship between the increase of $...
Tunay Sabri Yüksel's user avatar