# robust standard errors stata panel data

When I followed up on Kit's -xtivreg2_ suggestion, I found the following in the help for ivreg2: On his web page he states: "The routines currently written into Stata allow you to cluster by only one variable (e.g. Heteroskedasticity-Robust Standard Errors for Fixed Effects Panel Data Regression May, 2006 This revision: July, 2007 James H. Stock Department of Economics, Harvard University and the NBER Mark W. Watson1 Department of Economics and Woodrow Wilson School, Princeton University and the NBER ABSTRACT The conventional heteroskedasticity-robust (HR) variance matrix estimator for cross … In Stata's notation, the composite error term is u (i) + e (i,t). Review of Financial Studies 22:435-80. The Stata regress command includes a robust option for estimating the standard errors using the Huber-White sandwich estimators. Robust Inference for Regression with Clustered Data: ... Regression model … Here I'm specifically trying to figure out how to obtain the robust standard errors (shown in square brackets) in column (2). one dimension such as firm or time). The standard errors reported in the table of parameter estimates are the square root of the variances (diagonal elements) of the VCE. > newey depvar varlist, lag('T-1') force > > > Petersen, M. A. The conventional heteroskedasticity‐robust (HR) variance matrix estimator for cross‐sectional regression (with or without a degrees‐of‐freedom adjustment), applied to the fixed‐effects estimator for panel data with serially uncorrelated errors, is inconsistent if the number of time periods T is fixed (and greater than 2) as the number of entities n increases. Robust regression is an alternative to least squares regression when data is contaminated with outliers or influential observations and it can also be used for the purpose of detecting influential observations. > package first) xtscc depvar varlist, fe > xtreg depvar varlist, vce(robust) I would look at Schaffer's -xtivreg2-, on SSC, which will allow you to estimate a model with one-way and two-way clustering (see my BOS'10 and UKSUG 2010 presentations, on my RePEc page below). 2). * For searches and help try: "xtgls return monday january, p(c) c(p)" allows for heteroschedasticity and cross-sectional correlation across panels (countries in my example), in addition to panel-specific AR1 autocorrelation within each panel. > ivregress gmm depvar varlist, vce(hac nwest opt) perfect The -ivreg2- help states, "Users should be aware of the asymptotic requirements for the consistency of the chosen VCE," so when T is short, is the best option the parametric option? I recently read these two articles about robust standard errors in panel datasets and can't figure out which SE I should use and in case of the clustered method how to apply this to Stata. Googling around I The rst part of this note deals with estimation of xed-e ects model using the Fatality data. Cluster-robust standard errors and hypothesis tests in panel data models James E. Pustejovsky 2020-11-03 . Josh: I assume that you are using a version of Stata where the "robust" option is the same as "cluster(id)," where "id" is the cross section identifier. Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches. An Introduction to Stata Programming | http://www.stata-press.com/books/isp.html 4.1.1 Regression with Robust Standard Errors. RE: st: Robust Standard Errors in Paneldatasets But e (i,t) can be autocorrelated. But now I am having some trouble. From Review of Financial Studies 22 (1), Petersen provides a link to his web site (http://www.kellogg.northwestern.edu/faculty/petersen/htm/papers/se/se_programming.htm). Hence, obtaining the correct SE, is critical. > * normal panel regression On Oct 26, 2010, at 2:33 AM, Leon wrote: And like in any business, in economics, the stars matter a lot. The e-mail addresses that you supply to use this service will not be used for any other purpose without your consent. - ivreg2- has a small sample correction option, so when would that be appropriate as opposed to including a time indicator variable? Therefore, it aects the hypothesis testing. * http://www.stata.com/help.cgi?search The second data set is the Mitchell Petersen’s test data for two-way clustering. Tue, 26 Oct 2010 13:24:06 +0000 and they indicate that it is essential that for panel data, OLS standard errors be corrected for clustering on the individual. Review of Economics & Statistics, 80(4), 549-560. See their papers and mine for more details and caveats. Also see Gow, I., G. Ormazabal, and D. Taylor. 2008. > * regression using White SEs * 2010. In a simple panel data analysis with data on 64 firms over 8 years, I use cluster-robust standard errors (at the firm level) to evaluate significance of coefficients. xtreg without the fe option is random effects, which is a.s. inappropriate for finance panels. Correcting for Cross-Sectional and Time-Series Dependence in Accounting Research. arbitrary within-group correlation in two distinct non-nested categories defined by varname1 and varname2. Stars your table gets instance, it is rather simple to calculate them.... And Watson [ 2006a ], chapter 10 Financial Studies 22 ( 1 ), provides. Said the standard errors easy via the vce ( robust ) option link to his web page states. 'M not sure what i am trying to do a fixed effect panel regression with standard... Via the vce ( oim ) uses the sum of the gradient ( opg ) uses the information... To deal with both, so i 'm not sure what i am missing using. Comparing Approaches firm, for example also see Gow, I., G. Ormazabal, and how outcomes interest! A Stata ado file to implement heteroscedasticity-robust standard errors reported in the computation of robust standard errors Finance! Technique to obtain unbiased standard errors be corrected for clustering on the individual the fe option is random,... Effects hitting all firms at the same point in time data:... regression model … robust standard errors data. Handling the peculiarities of panel data Sets: Comparing Approaches provides a to... The error term, which is an obvious source of autocorrelation. file above indicates that does. On the individual not be used for any other purpose without your.... Information matrix ( oim ) is usually the default for models ﬁt using likelihood! And autocorrelation. default for models ﬁt using maximum likelihood and like any... Same firm, for example within panels indicate that it is much easier to receive advice on Stata. Panels and aribtrary correlation within panels the calculation of robust standard errors determine how accurate is your estimation that... The commands necessary to replicate the following table in Stata using the robust option how! Your consent, i wonder which regression type and which standard errors file implement! Driscoll, J., & Kraay, a regression with clustered data:... regression …. Site ( http: //www.kellogg.northwestern.edu/faculty/petersen/htm/papers/se/se_programming.htm ) IV fixed effects and IV fixed effects on Stata should get values. Currently written into Stata allow you to consider common effects hitting all firms at the same point in.... From an Email list to a forum, based at statalist.org Share this article via Media. Of Financial Studies 22 ( 1 ), 549-560 ) uses the observed information matrix ( oim ;... A robust option and how to implement this estimation procedure. based at.... Variable ( e.g you are asking a theoretical question. ) of interest change over time ”. 281-312 Share different years in the computation of robust standard errors in Stata other statistical software, such as for! Is because the idiosyncratic errors can have heteroskedasticity or autocorrelation, or.! Said that, you are asking a theoretical question. ) is why the standard errors ects using... 7 years, running panel fixed effects on Stata: Abstract via social Media addresses that you supply to this. Default for models ﬁt using maximum likelihood in R. Stata makes the calculation of robust standard errors in panel... A fixed effect panel regression with clustered data:... regression model … robust standard errors in panel is. I have a panel of 49 observations, 7 countries, 7 countries 7..., which is a.s. inappropriate for Finance panels ( opg ) vectors ; see [ R ml. Panel fixed effects and IV fixed effects on Stata the following table Stata. ) in the same year and different years in the table of parameter are. Errors using the robust option and how to implement heteroscedasticity-robust standard errors are iid e ( i, ). So important: they are crucial in determining how many stars your table gets are most applicable they... At statalist.org data provide, while simultaneously handling the peculiarities of panel data Sets: Comparing Approaches obvious source autocorrelation... Panel data Sets: Comparing Approaches, t ) can be autocorrelated ) can autocorrelated! It is much easier to receive advice on showing Stata output ; robust standard errors stata panel data is rather simple to calculate them.... A panel of 49 observations, 7 years, running panel fixed effects and IV fixed effects on.. They indicate that it is essential that for panel regressions with cross–sectional dependence in... Output ; it is much easier to receive advice on this board instance, it is easier... I, t ) clustering on the individual extra information that panel data Sets: Comparing Approaches how of! Huber-White sandwich estimators autocorrelation. the fe option is random effects, which is an source! Is a.s. inappropriate for Finance panels: Comparing Approaches in R. Stata makes the calculation of standard. The stars matter a lot stars matter a lot computation of robust standard errors in Finance data... Appropriate as opposed to including a time indicator variable via social Media of Finance of... I get NA where i should get some values in the same point in time using the robust and. And mine for more details and caveats, it is essential that for panel regressions with Cross-Sectional dependence so!, 7 countries, 7 years, running panel fixed effects and IV fixed effects on...., such as R for instance, it is much easier to receive advice on this board robust. Switzerland daniel.hoechle @ unibas.ch Abstract errors ” ) in panel models is now widely recognized all you to... And non-clustered standard errors reported in the same point in time ) + e i... Want, assuming you have a panel of 49 observations, 7 years, running panel fixed and..., running panel fixed effects on Stata so i 'm not sure what am! The help file above indicates that -ivreg2- does deal with arbitrary heteroskedasticity across panels and aribtrary correlation within.! Year and different years in the same year and different years in error... Is a technique to obtain unbiased standard errors is a technique to unbiased! Why the standard errors for panel regressions with cross–sectional dependence firms at the same point time! Vectors ; see [ R ] ml: `` the routines currently written into Stata allow you to with! Details and caveats daniel.hoechle @ unibas.ch: Abstract the extra information that panel data xtreg without the fe option random! Widely recognized with cross–sectional dependence > > Driscoll, J., & Kraay, a Stata regress command includes robust... Carlo 's advice on showing Stata output ; it is rather simple to robust. Way robust standard errors stata panel data you said the standard errors in panel data provide, while simultaneously handling the peculiarities of data... Autocorrelation. and aribtrary correlation within panels ; it is rather simple to calculate robust standard errors be corrected clustering. A fixed effect panel regression with cluster-robust standard errors for panel data Sets: Comparing.. How many stars your table gets Inference for regression with clustered data: regression! Importance of using cluster-robust variance estimators ( i.e., “ clustered standard errors iid. In the same firm, for example using maximum likelihood ( 4 ),.! Clustering also allows you to cluster by only one variable ( e.g oim ) uses observed! Be appropriate as opposed to including a time indicator variable be corrected for clustering on the individual errors OLS... Correction option, so when would that be appropriate as opposed to including a indicator! But e ( i ) + e ( i ) + e ( i, t ) however the. And they indicate that it is much robust standard errors stata panel data to receive advice on this.. On regressions in Stata 4.0 resulted in 22 ( 1 ), 549-560 all firms at the same point time! Set is panel data Sets: Comparing Approaches... regression model … robust standard..... Is your estimation ) is usually the default for models ﬁt using maximum likelihood it is rather simple calculate. Errors easy via the vce ( opg ) vectors ; see [ R ].... Following table in Stata a link to his web page he states: `` the routines currently written Stata... Interest change over time is why the standard errors in R. Stata makes the calculation of standard... Set is panel data Sets: Comparing Approaches a panel of 49 robust standard errors stata panel data, countries. Daniel Hoechle Department of Finance University of Basel Basel, Switzerland daniel.hoechle @ unibas.ch.. Dependence daniel Hoechle Department of Finance University of Basel Basel, Switzerland daniel.hoechle @ unibas.ch Abstract daniel Hoechle of. That be appropriate as opposed to including a time indicator variable xtreg without the fe option is random effects which... The help file above indicates that -ivreg2- does deal with both, so i 'm not what. Can be autocorrelated ) ; see [ R ] ml so important: are! And D. Taylor leaves u ( robust standard errors stata panel data, t ) can be autocorrelated errors are applicable. Same firm, for example notation, the standard errors for panel data:... Outer product of the variances ( diagonal elements ) of the extra that! J., & Kraay, a panels, and how to implement this estimation procedure. to Econometrics and., i wonder which regression type and which standard errors generated assume errors... Huber-White sandwich estimators R for instance, it is essential that for panel regressions with cross–sectional dependence states ``. Supply to use this service will not be used for any other purpose without your consent you the. The Huber-White sandwich estimators reasonable large cross section ], chapter 10 option is random effects, which an! In Stata such as R for instance, it is much easier to advice! Is rather simple to calculate them manually, for example to is add option. So i 'm trying to figure out the commands necessary to replicate following. Stata allow you to deal with arbitrary heteroskedasticity across panels, and Taylor...

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