Showing 1 - 10 of 13
Studies of the joint time-use decisions of spouses have relied on joint estimation of time-use equations, sometimes assuming correlated errors across spouses' equations and sometimes directly examining the effects of one spouse's time use on another's, relying on panel data or instrumental...
Persistent link: https://www.econbiz.de/10010352241
The authors employ spatial econometrics techniques and Annual Averages data from the U.S. Bureau of Labor Statistics for 1990-2004 to examine how changes in the minimum wage affect teen employment. Spatial econometrics techniques account for the fact that employment is correlated across states....
Persistent link: https://www.econbiz.de/10010280722
Studies of the joint time-use decisions of spouses have relied on joint estimation of time-use equations, sometimes assuming correlated errors across spouses' equations and sometimes directly examining the effects of one spouse's time use on another's, relying on panel data or instrumental...
Persistent link: https://www.econbiz.de/10010259539
Studies of the joint time-use decisions of spouses have relied on joint estimation of time-use equations, sometimes assuming correlated errors across spouses' equations and sometimes directly examining the effects of one spouse's time use on another's, relying on panel data or instrumental...
Persistent link: https://www.econbiz.de/10010884183
The authors employ spatial econometrics techniques and Annual Averages data from the U.S. Bureau of Labor Statistics for 1990-2004 to examine how changes in the minimum wage affect teen employment. Spatial econometrics techniques account for the fact that employment is correlated across states....
Persistent link: https://www.econbiz.de/10009283570
Persistent link: https://www.econbiz.de/10011308150
Persistent link: https://www.econbiz.de/10011763827
Persistent link: https://www.econbiz.de/10011783144
Ordinary least squares econometric approaches to estimating election vote outcomes potentially ignore spatial dependence (or autocorrelation) in the data that may affect estimates of voting behavior. The presence of spatial autocorrelation in the data can yield biased or inconsistent point...
Persistent link: https://www.econbiz.de/10010885351
One problem with describing election vote shares using ordinary least squares (OLS) is that it ignores the possible presence of spatial error correlation, whereby the errors are correlated in a systematic manner over space. This omission can bias OLS standard errors. We examine the 2004...
Persistent link: https://www.econbiz.de/10010552806