Recent content by kiton

  1. kiton

    Ensuring correct model specification

    Following the same Google example, people started rating restaurants many years ago, from 2008 I believe. Some restaurants mights have as low as 1 review, while others 2000+. For each of the reviews only year is available (no specific date); therefore, individual posts are captured at the yearly...
  2. kiton

    Ensuring correct model specification

    @hlsmith Okay, let me try to explain it this way. The closest comparison to the situation I am trying to study would be this. Google has a service called Google Reviews. People often use these, for instance, when searching for a restaurant. Here is an example of such reviews. Look at the...
  3. kiton

    Ensuring correct model specification

    @Miner You are surely right on this. I plan to address endogeneity caused by self-selection once I have the main model justified.
  4. kiton

    Ensuring correct model specification

    @hlsmith I appreciate your feedback. Let me clarify. The platform provides user ratings of the companies. Any registered platform user can rate any company that has a registered account. In order to improve the quality of ratings, the platform introduced a new user-level feature that allowed...
  5. kiton

    Mixed frequency regression analysis

    I hear you. Then MIDAS seems to me the only feasible option. Admittedly, however, I have very limited knowledge about it and there is only one paper on this in my library.
  6. kiton

    SPSS / logistic regression

    Mediation analysis is a completely different thing, which by itself is irrelevant to your estimator. You can look here to get a sense of it.
  7. kiton

    Using average response time as an outcome variable

    Your data structure is somewhat unclear to me... What is the measurement of your outcome -- is it seconds (or minutes) it takes an individual to answer the whole questionnaire or one single question?
  8. kiton

    Plotting a three way interaction with excel

    Anything, but Excel :) Sorry.
  9. kiton

    How can I convert Fiscal Period Data to either Calendar year or Quarter?

    If your data are recorded for a given fiscal period (i.e., one value for a given period), I don't see any feasible ways to expand it, it is what it is. Or am I missing something here?
  10. kiton

    Choice of model/strategy for multiple regression analisys

    I suggest you take a look at the following material to better understand the difference between fixed and random effects. In brief, you should (a) have some theoretical reasoning describing relationships between your time-variant and invariant predictors, then (b) run both FE and RE models and...
  11. kiton

    Mixed frequency regression analysis

    Can you aggregate your daily data at monthly level and check consistency of your estimates with added IVs?
  12. kiton

    right-skewed distributed variable in regression model

    What kind of model are you using? Is it a fixed effect model or something else? Also, how are you treating your year variable as a numerical or categorical?
  13. kiton

    Ensuring correct model specification

    Hello! My goal is to study the effect of new feature introduction by online platform on the ratings reported by platform users for a sample of companies. The newly introduced feature became available to all platform users. Each user could self-select to (a) use the feature, and (b) provide...
  14. kiton

    Seeking advice on 3-level HLM

    As it turns out, the case I am observing with my data is related to the estimation of cross-level effects in multilevel models. For those facing challenges similar to mine, I recommend a great paper by Aguinis, H., Gottfredson, R. K., & Culpepper, S. A. (2013). Best-practice recommendations for...
  15. kiton

    Seeking advice on 3-level HLM

    I keep thinking about the issue in hand and here are some additional elaborations. Given the structure of the data: Level 1: Individual reviews — includes user ratings and duration of use Level 2: Products — includes expert rating Level 3: Product categories Rule #1 in HLM is that outcome is...