Showing 1 - 10 of 22
Stata's matrix language, Mata, highlighted in Bill Gould's Mata Matters columns in the Stata Journal, is very useful and powerful in its interactive mode. Stata users who write do-files or ado-files should gain an understanding of the Stata-Mata interface: how Mata may be called upon to do one...
Persistent link: https://www.econbiz.de/10004970625
In a 2012 article in the Journal of Business & Economic Statistics, Arthur Lewbel presents the theory of allowing the identification and estimation of "mismeasured and endogenous regressor models" by exploiting heteroskedasticity. These models include linear regression models customarily...
Persistent link: https://www.econbiz.de/10010819914
Testing for the presence of autocorrelation in a time series is a common task for researchers working with time series data. The standard Q test statistic, introduced by Box and Pierce (1970) and refined by Ljung and Box (1978), is applicable to univariate time series and to testing for...
Persistent link: https://www.econbiz.de/10010820049
In a 2012 article in the Journal of Business and Economic Statistics, Arthur Lewbel presented the theory of allowing the identification and estimation of "mismeasured and endogenous regressor models" by exploiting heteroskedasticity. These models include linear regression models customarily...
Persistent link: https://www.econbiz.de/10010820067
Dong and Lewbel have developed the theory of simple estimators for binary choice models with endogenous or mismeasured regressors, depending on a `special regressor' as defined by Lewbel (J. Econometrics, 2000). `Control function' methods such as Stata's ivprobit are generally only valid when...
Persistent link: https://www.econbiz.de/10010897900
Testing for the presence of autocorrelation in a time series is a common task for researchers working with time series data. The standard Q test statistic, introduced by Box and Pierce (1970) and refined by Ljung and Box (1978), is applicable to univariate time series and to testing for...
Persistent link: https://www.econbiz.de/10010897933
The avar routine (Baum and Schaffer, SSC) constructs the "filling" for a number of flavors of "sandwich" covariance matrix estimators, including HAC, one- and two-way clustering, common cross-panel autocorrelated errors, etc. We show how avar can be used as a building block to construct VCEs...
Persistent link: https://www.econbiz.de/10010929914
Dong and Lewbel have developed the theory of simple estimators for binary choice models with endogenous or mismeasured regressors, depending on a “special regressor” as defined by Lewbel (Journal of Econometrics, 2000). These estimators can be used with limited, censored, continuous, or...
Persistent link: https://www.econbiz.de/10011019864
We discuss how econometric estimators may be efficiently programmed in Mata. The prevalence of matrix-based analytical derivations of estimation techniques and the computational improvements available from just-in-time compilation combine to make Mata the tool of choice for econometric...
Persistent link: https://www.econbiz.de/10005041781
Stata’s matrix language, Mata, highlighted in Bill Gould’s Mata Matters columns in the Stata Journal, is very useful and powerful in its interactive mode. Stata users who write do-files or ado-files should gain an understanding of the Stata–Mata interface: how Mata may be called upon to do...
Persistent link: https://www.econbiz.de/10005007878