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