fixed effects model

  1. helgasaraswati

    Data Panel In R Commander

    Here is an example of three different methods (fixed effects, random effects) for analyzing Models in R Commander
  2. S

    Interpreting coefficients in pooled cross-sectional data with cluster-dummies

    Data: pooled cross-sectional data. 6 countries. 3 years of cross sectional data (10 year gaps in between), with different samples of individuals in each year. The data are from three periods: 'before', 'during', and 'after' a shock. Response: relative rainforest area Main predictor: profits...
  3. S

    Interpreting coefficients in pooled cross-sectional data with cluster-dummies

    Data: pooled cross-sectional data. 6 countries. 3 years of cross sectional data (10 year gaps in between), with different samples of individuals in each year. The data are from three periods: 'before', 'during', and 'after' a shock. Response: relative rainforest area Main predictor: profits...
  4. S

    Logistic fixed effects cluster-specific interpretation with cross-sectional data

    I'm unsure how to interpret the output of a fixed effects (in the econometric sense) logistic regression model using cross-sectional data. I'm struggling with the 'cluster-specific' interpretation these models have. I sort of understand how this works with panel data, but I'm not sure whether...
  5. S

    Regression with two fixed effects in STATA 11

    Hello, I need to run a standard econometric model (a standard panel regression) with two fixed effects in STATA 11. Could you please help me and tell me what is the code that i need to input. The fixed effect variables are country and year. Thank you in advance!
  6. J

    Gravity model with fixed effects - controlling for the heterogeneity

    Hi Stata users, I'm quite new to Stata and econometric packages in general, so I'd like to get some hints on how to specify a gravity model for international trade between different countries. My panel consists of 133 countries over 19 years - thus we have 17556 combinations of importers (ci)...
  7. R

    Durbin-Watson statistic below 2, fixed effect model

    Hello I am asking for your advice. I am working with unbalanced panel data set. Sample contains data about 11 largest Finnish insurance companies, time period is 13 years. Dependent variable is profitability indicator ratio; independent variables are concentration measured by HHI index and...
  8. S

    Is there a need to include fixed effects when assessing multicollinearity VIFs?

    I am currently in the progress of performing multicollinearity diagnostics for a logistic regression model using tolerance and VIF calculations based on recommendations in Allison (2012) (Logistic Regression Using SAS: Theory and Application, Second Edition). In my model I include three sets of...
  9. L

    panel data - within-group estimate - individual fixed effects retrieved

    Hi TalkStats people! I am analyzing panel data. First, I have to decide whether to use a random or fixed effect estimator. The Hausman test suggests to use the fixed effect estimator (also named within group estimator). Thus, this is what I am using. However, this method eliminates the...
  10. L

    Hausman test VS Mundlak model; choosing between fixed-effects and random-effects

    I am using panel data and I have to choose between fixed-effect and random-effect models. I run the Hausman test, the H0 (i.e., the difference in the coefficients from the two models is not systematic) is rejected. Thus, I should use the fixed-effect. I also run a second test, which is based...
  11. K

    Which model to use for a meta-analysis? Fixed Vs Random effects model

    I'm having trouble choosing which model to use to analyze my findings. My meta-analysis is about how effective a drug is compared to placebo or no intervention to reducing pain during needle procedures. So I've collected the studies I need, I'm looking at a specific drug and the outcome...