search account giftcard shopping-cart plus arrow-right checkmark paypal
Heteroskedasticity in Regression: Detection and Correction (Quantitative Applications in the Social Sciences)

Added to Cart

Sold by ShopTheGlobe

More deals you may like

Low Stock

Heteroskedasticity in Regression: Detection and Correction (Quantitative Applications in the Social Sciences)

$51.20
+
FREE Standard Shipping

Leaves warehouse in 2-3 weeks.
Sold by ShopTheGlobe
This item is located outside Australia

Finance available

Kogan Credit CardKlarnaopenpayZippayAfterpay

Overview


Marketplace Products - Kogan Guarantee

This product is shipped via the most economical route and is estimated to be delivered within 2-3 weeks of your order leaving the warehouse.


This volume covers the commonly ignored topic of heteroskedasticity (unequal error variances) in regression analyses and provides a practical guide for how to proceed in terms of testing and correction.

Emphasizing how to apply diagnostic tests and corrections for heteroskedasticity in actual data analyses, the book offers three approaches for dealing with heteroskedasticity:


  • variance-stabilizing transformations of the dependent variable;
  • calculating robust standard errors, or heteroskedasticity-consistent standard errors;
  • generalized least squares estimation coefficients and standard errors.


The detection and correction of heteroskedasticity is illustrated with three examples that vary in terms of sample size and the types of units analyzed (individuals, households, U.S. states).



Robert Kaufman (PhD University of Wisconsin, 1981) is professor of sociology and the Chair of the Department of Sociology at Temple University. His substantive research focuses on economic structure and labor market inequality, especially with respect to race, ethnicity, and gender. He has also explored other realms of race-ethnic inequality, including research on wealth, home equity, residential segregation, traffic stops and treatment by police, and media portrayals of crime. More abstract statistical issues motivate some of his current work on evaluating different methods for correcting for heteroskedasticity using Monte Carlo simulations. Dr. Kaufman has published papers on quantitative methods in American Sociological Review, American Journal of Sociology, Sociological Methodology, Sociological Methods and Research, and Social Science Quarterly. He served on the editorial board of Sociological Methods and Research for 15 years and has taught graduate-level statistics courses nearly every year for the past 30 years.

Create your free Kogan.com account

Create your free Kogan.com account

Already have an account? Sign In

By clicking Create Account (or signing in with Facebook, Google or Paypal), you agree to the Kogan.com Terms & Conditions and Privacy Policy and to receiving marketing communications from Kogan.com. Remember, you can unsubscribe at any time.