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1 vote
1 answer
829 views

Differences between calculating the relative change and taking the natural log to represent relative change in Stata

In a (panel) regression with income as the dependent variable, I would like to estimate the effect of a treatment on the relative change in income. I found two mathematically equivalent ways to do ...
Ben's user avatar
  • 205
1 vote
1 answer
469 views

Interpreting log linear margins with endogenous treatment effects

I'm having trouble in understanding the predictive margins after a log linear regression with endogenous treatment effects. Using stata (with weighted survey design) I ran the following, where logwage ...
iPlexipen's user avatar
  • 211
0 votes
1 answer
696 views

Interpreting linear regression with endogenous treatment effects

Using stata (with weighted survey design) I ran the following, where logwage is the log of wage. The log was taken because wage was not normally distributed. There is also information about the ...
iPlexipen's user avatar
  • 211
0 votes
1 answer
587 views

Interpretation Confidence interval including zero

I'm performing a negative binomial regression (xtnbreg in Stata). However, I found that the confidence interval of my regression includes zero. I have no clue how ...
jack's user avatar
  • 1
1 vote
1 answer
2k views

Predicting probabilities after log-linear regression

I would like to estimate a log-linear regression and examine the results with Stata's marginsplot command. I have transformed my dependent variable into natural logarithm (to make a highly skewed ...
stata_beginner's user avatar
1 vote
1 answer
458 views

Interpreting log-log regression results where the original values of one IV have all been increased by 100%

Sorry for the very cryptic title, but I do not know how to describe my problem in another way and I'm sure the solution is rather straightforward. I am currently running a regression where the ...
S.Sneeboer's user avatar
0 votes
0 answers
333 views

Logging independent variable flips sign of coefficient

I am running a fixed effects regression with multiple IVs. One of the IVs has a negative coefficient (which is what I expect from theory) and is significant. The Stata code would be ...
user1769925's user avatar
0 votes
1 answer
2k views

Log scale in histogram + Stata

Is there some way to have Stata create bin sizes for a histogram such that when you plot the histogram on a log scale, the bins will all appear to have the same width (visually, not numerically) on ...
bachelor's user avatar
  • 363
1 vote
0 answers
76 views

Comparing coefficient of a fraction (in ln) with coefficient of metric variable (in ln)

I ran a Poisson regression with capital stock as main variable of interest. The stock K is in natural logarithm (ln) and I want to decompose it in two parts in the following way because I am ...
Florian Seliger's user avatar
5 votes
2 answers
881 views

Alternatives to multilevel model with log transformed outcome

I'm working with linear mixed-effects model in Stata. Dataset has three levels of 100k observations, nested in 500 regions, nested in 70 regions. Currently my modelling strategy is to use three-...
user avatar
0 votes
0 answers
59 views

Natural logarithm transfomation and zeroes [duplicate]

I am using Stata 13 to estimate a simple regression. Given a rather positive skew of a few of my covariates, I figured to ln-transform the variables. However, I have a substantial amount of zeroes in ...
Rachel's user avatar
  • 247
6 votes
1 answer
31k views

Interpretation of marginal effects in Logit Model with log$\times$independent variable

I am totally confused by statistics and I would be glad if you could help me. I have a difficulties to interpret marginal effects in logit model, if my independent variable is log transformed. I ...
Alina Lobova's user avatar
1 vote
2 answers
2k views

Understanding stationarity with Inflation

I am looking at the link between inflation and insolvencies for an econometrics project. I have the raw quarterly insolvency data and raw quarterly CPI data for the UK (roughly 100 samples) from 1988-...
Chris's user avatar
  • 11
3 votes
1 answer
10k views

Interpreting a quadratic logarithmic term

Given the regression model $y=\beta_0 + 300*ln(x_1) - 15 * (ln(x_1))^2 + \beta_3*x_2 + ... + u $ $x$ ranges from 1 000 to 30 000 (6.9 to 10.3 on a logarithmic scale). How to interpret the diminishing ...
Ikm2012's user avatar
  • 31