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24 views

Interpretation on the Log-Lin model with high coefficients

So my model has some high coefficients and i have many doubts how should I interpret them $LnHomii_t = 1.183 - 0.535 LnRendai_t + 4.46\times 10^6Escolai_t - 7.98\times 10^7BOLFAMi_t - 5.378Ginii_t + ...
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29 views

Log-log regression where variables are in terms of growth rate

I would like to estimate elasticity of exchange rate on export. The specification takes the following form: $$Exp=\alpha+\beta_0REER+\beta_1GDP^{p}+\epsilon$$ where, $Exp$ is export growth calculated ...
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7 views

Log scale for Y axis in scatter3D (Car) or any 3D plot packages in R something similar to that generated in excel?

am trying to set up the Y axis to be in Log2 or Log10 scale in scattter3D, but I have not been able to do it. Is there any way to plot Log scale for the Y axis keeping the original values as done in ...
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Does log-transform independent variable actually help reducing absolute relative errors in regression?

Based on my experience, I usually log-transform my target variable especially in cases dealing with price prediction. Mainly, it helps with the interpretability. However, I have seen some cases where ...
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1answer
21 views

Converting relative effect to absolute effect in log model

I have the following model; log(daily sales) = intercept + B1*(event dummy) + error My response variable(daily sales) is basically a daily time series and 'event dummy' is an indicator variable ...
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1answer
16 views

Log-Log in panel data for multiple regression

I'm using a model, for an article, with 6 independent variables. I used the logarithmic transformation of the dependent variable (Y) and 2 of the 6 independent variables. One of my professors said ...
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31 views

GLM binomial link functions. Difference between logit and log link function

I am modelling a binary dependent variable and I have been trying different types of link functions of the glm binomial family. ...
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1answer
39 views

In OLS, while using log-log and linear-log transforamtions, is valid to transform some regressors only?

In OLS I was wondering if it is valid to log-transform some regressors only. Specifically, continuous regressors, because it is advised not to transform binary or categorical variables. For instance, ...
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1answer
65 views

Interpreting adjusted R-squared of a log transformed regression model

I am running a linear regression model where the dependent variable (Y) is log-transformed. I am struggling on how to interpret the adjusted R-squared of this log-transformed model that is meaningful. ...
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21 views

Remaining Skewness after log transformation

I am new in this community and I hope you could help me out. Right now I am working on a dataset which has multiple variables that are highly skewed. Below you can see one example of a variable ...
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18 views

How to invert a regression model with a log response? [duplicate]

How do you perform the inverse of a log model, and why aren't the $R^2$ the same? m1 <- log(response) ~ value, Adjusted R-squared: 0.583. But when I try, <...
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1answer
42 views

Odds ratio, Meta-analysis

I have the following for the data for the meta-analysis: OR , standard errors, logged OR , variance of logged OR I have generated a forest plots first using "OR" with "variance of logged OR" using ...
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39 views

Interpreting forecast predictions of log transformed data

Using the forecast function in R, I make a 1-step prediction for a log-transformed data set Y, ( Y = log(X) ). This prediction gives me a mean and a 95% prediction interval. How valid is this ...
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0answers
16 views

log model , per capita variabel?

I have a question regarding statistics interpretation . As far as I know when I have two variables I can interpret the results as following: Y and X -- a one unit increase in X would lead to a β β ...
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0answers
12 views

Difference between log and growth for interpretation of variable coefficient

I have a question concerning the interpretation of a variable. First of all we know that the proces generating the data is basically: Total = 1*A + 1*B + 1*C + measurment error (So the coefficients ...
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1answer
25 views

Interpretation of Regression Coefficients with log transformation [closed]

I am struggling to understand the interpretation of the regression coefficient in a log-log model, log-linear model and linear-log model. To give an example, let's assume that I have the following ...
3
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1answer
153 views

How to back-transform a log transformed regression model in R with bias correction

I have created a model to predict the number of people with a certain characteristic (Y) based on predictor variables $X_1$, $X_2$, $X_3$, $X_4$. The model is a multiple linear regression and both the ...
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0answers
184 views

Price elasticity in logistic regression with log price

I'm estimating demand and calculating price elasticity using logistic regression. In logistic regression with level price, elasticity is $$ \alpha*price*(1-share)$$ while if one uses log of price, ...
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2answers
467 views

Is a distribution still considered right-skewed if the majority of responses are zero?

i have a distribution in which the majority of cases take the value of zero and then there are a few (perhaps 10%) with values of 1,2 or 3. would this distribution still count as right skewed even ...
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1answer
33 views

Does taking logs to supress hetroskedasticity only work for the dependent variable?

I have been told that by logging variables in a regression that hetroskedasticity of errors can be reduced. Is this the case also if only my dependent variable is logged?
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154 views

R-squared for glmmTMB with beta distribution and logit link

I'm looking for a method or function for computing R² for glmmTMB models with a beta distribution and a logit link. I am interested in a ratio (%) response in a repeated measures design. I looked ...
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1answer
28 views

Is log-log model considered to be nonlinear?

I am currently revising a paper, in which I tested an empirical model in the following form: , where EP is indicator of environmental performance, FDI - foreign direct investment which is the main ...
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10 views

Can natural log transformed variables used in probit models and if so how are their coefficients to be interpreted?

i have several log-transformed continuous variables in my model and want to estimate their impact on likelihood of sale. can i include (natural) log transformed variables in a probit model? if so how ...
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0answers
20 views

when should log explanatory variables be used?

I'm modelling auction revenue on eBay against a set of continuous explanatory variables. when is it best to regress against the log of these variables? i understand that it allows you to discus ...
0
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1answer
24 views

Does it make sense having scale and log transformed variables to select models?

I have several data to work with in order to select models. Some of the predictor variables vary from 0 to more than 2000 square meters(Area). And some goes from 200 to 800 meters(Altitude). Others ...
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1answer
281 views

linear probability model interpretation

I have a question regarding the interpretation of a log independent variable in a linear-probability model. For example: I have $\log(GDP)$ as my independent variable and the coefficient is 0.35. Can ...
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0answers
10 views

Back transform the integral of a log-log model?

One of my colleagues has an issue with back transforming the integral of model back to its original units. His model has a log transformed Y as a function of a log transformed X predictor. He can ...
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0answers
44 views

Is this usage correct for using isometric log ratio [ILR] transform with counts data (compositional)?

If one wanted to construct a simple pairwise correlation matrix from an compositional data table using an ILR transform preprocessing step, would this usage violate any assumptions with the transform? ...
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0answers
9 views

How to interpret log(ratio b/w 2 variables) coefficient in a regression framework?

I am struggling to interpret the coefficient of an independent variable in OLS regression equation. The (simplified) equation is of the form: $\Delta Y = \alpha + \beta \ln(\frac{GDP_{2000}}{GDP_{...
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0answers
14 views

Interpretation of log log model [duplicate]

I have following equation that i working with log(y)=1+log(x1)+log(x2)+Dummyvar(0/1)+error My question is how do we interpret coefficient of Dummy variable? In ...
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0answers
40 views

Is log based transform comparable across groups with different minimum values?

I have data for different groups that includes positive, negative, and zero values. Here is an example: group1: c(-503583,-395833,0.1,3835,19,-0.001,0,48400883) group2: c(-39,-8340,-10,0,0.1,2889,93,...
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1answer
41 views

Transform Heavy right tailed data

I am clustering (K-MEANS) a data 1.7million observations, which displays a heavy-tailed distribution when examined by plot. What is the best transformation to correct it. does log can handle this?
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1answer
52 views

Interpreting dispersion for Inverse Gaussian GAM (log linked)

After reading Wood (2006), Zuur et al. (2009) and all questions related to GAMs here, I still haven't found the following: Should I calculate the dispersion for an ...
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0answers
31 views

Unbiased estimators of the log odds

In the book of Lehmann and Casella (2003) page 83, a random variable $X$ is distributed according to the binomial distribution $Bin(n,p)$, $n$ the number of trials and $p$ the success probability. ...