Metrics Mondays

(Note: The most recent posts will be added to the top of the list, and posts are generally listed from most recent to oldest.)

  1. Fixed Effects, Random Effects, and (Lack of) External Validity
  2. Dealing with Duration Data
  3. Heteroskedasticity and Its Content
  4. Dealing with Imperfect Instruments II
  5. Dealing with Imperfect Instruments I
  6. Testing for Mechanisms (and Possibly Ruling Out All Other Mechanisms)
  7. How to Systematically Think about Selection
  8. Simpson’s Paradox, or Why “Determinants of …” Papers are Problematic
  9. Lagged Explanatory Variables and the Estimation of Causal Effects
  10. Estimating Nonlinear Relationships
  11. Nothing Compares 2 U
  12. Robustness Check or Data Mining?
  13. What to Do with Repeated Cross Sections?
  14. Interpreting Coefficients II
  15. “Are Those Two Distributions Alike?” Redux
  16. Interpreting Coefficients I
  17. Are Those Two Distributions Alike?
  18. What to do When You Have the Whole Distribution Instead of a Sample?
  19. Statistical vs. Economic Significance
  20. Type III Errors
  21. The Tobit Temptation
  22. There Is More than One Source of Endogeneity
  23. Why You Should Show a Regression of Y on Z
  24. Fads and Fashions in Econometrics
  25. Multicollinearity
  26. Friends *Do* Let Friends Do IV
  27. Regressions as Ecosystems
  28. When Is Heteroskedasticity (Not) a Problem?
  29. Hypothesis Testing in Theory and in Practice
  30. Statistical Literacy
  31. Data Cleaning
  32. Outliers
  33. Proxy Variables
  34. What to Do with Missing Data
  35. What to Do with Endogenous Control Variables
  36. Control Variables: More Isn’t Necessarily Better
  37. You Can’t Test for Exogeneity: Uninformative Hausman Tests
  38. “Do Both”
  39. You Keep Using that Instrumental Variable; I Do Not Think It Does What You Think It Does
  40. PSA: p-Values Are Thresholds, Not Approximations
  41. The Use and Misuse of R-Square
  42. Big Dumb Data?
  43. Rookie Mistakes in Empirical Analysis
  44. Goodness of Fit in Binary Choice Models
  45. A Nifty Fix for When Your Treatment Variable Is Measured with Error
  46. A Rant on Estimation with Binary Dependent Variables
  47. Love It or Logit, or: Man, People *Really* Care about Binary Dependent Variables
  48. In Defense of the Cookbook Approach to Econometrics
  49. More on the Cookbook Approach to Econometrics
  50. Econometrics Teaching Needs an Overhaul
  51. Hipstermetrics
  52. On the (Mis)Use of Regression Analysis: Country Music and Suicide
  53. Methodological Convergence in the Social Sciences