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1 vote
1 answer
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How to interpret a regression table with logged DVs?

I'm writing a research paper and am using R for my quantitative analysis. I'm using OLS regression and have needed to perform a log transformation on my dependent variables for linearity however I don'...
Bella's user avatar
  • 11
0 votes
0 answers
37 views

Log transformation uses

I am trying to understand how the migration of a male member affects the number of hours spent by left-behind women in various agricultural and non-agricultural activities. I used a simple OLS model ...
Sapna's user avatar
  • 1
0 votes
0 answers
17 views

Standard error calculation of intercept in logarithmic line equation?

I have a line equation log(y) = mlog(x) + log(c) for which I have plotted log(x) vs log(y) scatter plot using the given x and y values then performed linear regression to get best fit line. Using ...
Anirudh Kalyankar's user avatar
0 votes
0 answers
24 views

Do you need to exponentiate an inverse hyperbolic sine

I have the following model: Yi = β1 + εi whereby Y is the inverse hyperbolic sine of the proportion of i county that is under the poverty threshold and β1 is a binary treatment variable. If I end up ...
coinbase_wells's user avatar
1 vote
0 answers
72 views

Deriving the Exact Percentage Change Formula in Logarithmic Models

I have been studying the relationship between logarithmic changes and percentage changes in the context of regression analysis. I understand that when working with small changes, the change in the ...
Newbie's user avatar
  • 83
0 votes
0 answers
61 views

Log transformation leading to extremely negative R-squared and extremle values for MSE

I have a set of data and I am using this code on it: ...
Coding_noob's user avatar
0 votes
1 answer
43 views

Dealing with 0's in loglog regression by using indicator functions I(x > 0)?

Assume we want to estimate the following model $y = e^{\beta_0} * x_1^{\beta_1} * x_2{\beta_3}$ which we can linearize into $\log(y) = \beta_0 + \beta_1 * \log x_1 + \beta_2 * \log x_2$ Assume that ...
richard baws's user avatar
0 votes
0 answers
30 views

loglog regression with 0's in IV's

Assume we have 2 predictors $X_1$ and $X_2$ and an outcome $Y$ that we wish to model with the following function $y = e^{\beta_0} * X_1 ^{\beta_1} * X_2^{\beta_2}$ Also assume that we have some priors ...
richard baws's user avatar
0 votes
0 answers
30 views

Interpretation of log-transformed (simple) regression models - confirmation requested

I am ashamed to admit I never questioned this while obtaining my bachelor's in statistics but it's coming up again in grad school and I'm now realizing that I've been using approximations for ...
Luke22's user avatar
  • 1
5 votes
2 answers
1k views

Always higher R squared after log transformation

lately I lost access to SPSS and instead of using Python or R, I tend to perform analysis using a free software called Jamovi. The thing is, this software doesn't have the different non-linear ...
gabriel's user avatar
  • 93
0 votes
0 answers
38 views

Interpretation of parameters in loglog-regression with scaled variables

Consider e.g the model $y = e^{\text{trend} + \text{seasonality}} \cdot \prod_{k \in \text{channels}} x_k^{b_k}$ where $i$ constrained $0 < b_k < 1$ (to capture diminishing marginal returns) ...
pete lewis's user avatar
0 votes
1 answer
109 views

How to find the equation on a log-log scale plot (in R)?

I have plotted about 40 000 polygons (topographic depression dataset data) according to their area and volume (see plot below) by the code below: ...
Lies's user avatar
  • 1
1 vote
0 answers
31 views

Log specification in regression model

I'm working with a basic linear regression model, and I have a question about the specification of the predictor. Consider this basic regression model: \begin{equation} g_{i,t} = \alpha + \beta_1 \ln(...
Maximilian's user avatar
0 votes
1 answer
75 views

interpretation of loglog regression

It is common econometric disciplines to model an baseline + incremental quantity due to treatment. E.g baseline sales + incremental sales(due to marketing). It is common to deploy loglog models to ...
pete lewis's user avatar
0 votes
0 answers
31 views

Log Transforming variables already in percentage [duplicate]

I'm running a regression analysis and I'd like to know if log transforming a percentage value is ok. My y-values are already in percentages and my x-values in absolute numbers. But I'd like to know by ...
Allan's user avatar
  • 1

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