1 vote
31 views

### 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 ...
28 views

### 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 ...
222k views

### 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? 43k views

### 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 ...
16k views

### 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)] ...
6k views

### 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 ...
548 views

### 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 ...
1 vote
3k views

### 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 ...
1 vote
2k 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 ...
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 \$...