# String variable not allowed error in stata forex

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Alternatively, specify matchlist , which has the syntax term [ , term If a number, it specifies the position of the equation in the corresponding model; would indicate that equation 1 in the first model matches equation 3 in the second, which matches equation 1 in the third.

A period indicates that there is no corresponding equation in the model; In syntax 2, you specify just one number, say, 1 or 2 , and that is shorthand for If it is suppressed, a name such as 1 or 2 etc. For example, equations 1 indicates that all first equations are to be matched into one equation named 1. All equations not matched by position are matched by name. The exponent of b is displayed in lieu of the untransformed coefficient; standard errors and confidence intervals are transformed as well.

Specify a pattern if the exponentiation is to be applied only for certain models. For instance, eform 1 0 1 would transform the statistics for Models 1 and 3, but not for Model 2. Note that, unlike regress and estimates table , estout in eform-mode does not suppress the display of the intercept.

Note: eform is implemented via the transform option. If both options are specified, transform takes precedence over eform. Use as a placeholder for the function's argument in fx and dfx. For example, type estout Alternatively, list may be specified as coefs fx dfx [ Syntax for coefs is as explained above in the description of the drop option however, include coefs in quotes if it contains multiple elements. Say, a model has two equations, price and select , and you want to exponentiate the price equation but not the select equation.

You could then type estout Specify the pattern suboption if the transformations are to be applied only for certain models. For instance, pattern 1 0 1 would apply the transformation to Models 1 and 3, but not Model 2. This option has an effect only if mfx has been applied to a model before its results were stored see help mfx or if a dprobit see help probit , truncreg,marginal help truncreg , or dtobit Cong model is estimated.

One of the parameters u , c , or p , corresponding to the unconditional, conditional, and probability marginal effects, respectively, is required for dtobit. Note that the standard errors, confidence intervals, t-statistics, and p-values are transformed as well.

Using the margin option with multiple-equation models can be tricky. The marginal effects of variables that are used in several equations are printed repeatedly for each equation because the equations per se are meaningless for mfx. To display the effects for certain equations only, specify the meqs option. Alternatively, use the keep and drop options to eliminate redundant rows. The equations option might also be of help here. As of Stata 11, the use of mfx is no longer suggested, since mfx has been superseded by margins.

Results from margins can directly be tabulated by estout as long as the post option is specified with margins. Alternatively, you may add results from margins to an existing model using estadd margins or estpost margins. The first token in string is used as the symbol. The default is: discrete " d " for discrete change of dummy variable from 0 to 1 To display explanatory text, specify either the legend option or use the discrete variable see the Remarks on using -variables.

Use nodiscrete to disable the identification of dummy variables as such. The default is to indicate the dummy variables unless they have been interpreted as continuous variables in all of the models for which results are reported for dprobit and dtobit , however, dummy variables will always be listed as discrete variables unless nodiscrete is specified.

Specifying this option does not affect how the marginal effects are calculated. If you use the equations option to match equations, be sure to refer to the matched equation names and not to the original equation names in the models. The default text is " dropped ". The scalarlist may contain numeric e -scalars such as, e. In addition, the following statistics are available: aic Akaike's information criterion bic Schwarz's information criterion rank rank of e V , i.

The rules for the determination of p are as follows note that although the procedure outlined below is appropriate for most models, there might be some models for which it is not : 1 p-value provided: If the e p scalar is provided by the estimation command, it will be interpreted as indicating the p-value of the model.

This p-value corresponds to the standard overall F test of linear regression. This p-value corresponds to the Likelihood-Ratio or Wald chi2 test. Type ereturn list after estimating a model to see a list of the returned e -scalars and macros see help ereturn. Use the estadd command to add extra statistics and other information to the e -returns. Use: fmt fmt [ fmt Note that the last specified format is used for the remaining scalars if the list of scalars is longer than the list of formats.

Thus, only one format needs to be specified if all scalars are to be displayed in the same format. If no format is specified, the default format is the display format of the coefficients. If specified, the labels are used instead of the scalar names. For example:. Use the label suboption to rename such statistics, e.

An alternative approach is to use estout 's substitute option see the Layout options. The stars are attached to the scalar statistics specified in scalarlist. If scalarlist is omitted, the stars are attached to the first reported scalar statistic. The printing of the stars is suppressed in empty results cells i. The determination of the model significance is based on the p-value of the model see above. Hint: It is possible to attach the stars to different scalar statistics within the same table.

The default is to print the statistics in separate rows beneath one another in each model's first column. Rows and cells that contain blanks have to be embraced in quotes. For example, Cells may contain multiple statistics and text other than the placeholder symbol is printed as is provided the cells' statistics are part of the model. Note that the number of columns in the table only depends on the cells option see above and not on the layout suboption.

If, for example, the table has two columns per model and you specify three columns of summary statistics, the summary statistics in the third column are not printed. The default placeholder is. Note that the thresholds must lie in the 0,1] interval and must be specified in descending order.

Long names labels are abbreviated depending on the abbrev option and short or empty cells are padded out with blanks to fit the width specified by the user. Specifying low values may cause misalignment. If a non-zero modelwidth is specified, model names are abbreviated if necessary depending on the abbrev option and short or empty results cells are padded out with blanks. In contrast, modelwidth does not shorten or truncate the display of the results themselves coefficients, t-statistics, summary statistics, etc.

Specify a list of numbers in modelwidth to assign individual widths to the different results columns the list is recycled if there are more columns than numbers. The purpose of modelwidth is to be able to construct a fixed-format table and thus make the raw table more readable. Be aware, however, that the added blanks may cause problems with the conversion to a table in word processors or spreadsheets.

The default is to place the equations below one another in a single column. Summary statistics will be reported for each equation if unstack is specified and the estimation command is either reg3 , sureg , or mvreg see help reg3 , help sureg , help mvreg. For more information on using such functions, see the description of the functions in help file.

See the begin option above for further details. See the cells option for details. The default string is a single blank. The standard decimal symbol a period or a comma, depending on the input provided to set dp ; see help format is replaced by string. The standard minus sign - is replaced by string. Use nolz to advise estout to omit the leading zeros that is, to print numbers like 0.

For example, extracols 1 adds an extra column between the left stub of the table and the first column. The wrap option is only useful if several parameter statistics are printed beneath one another and, therefore, white space is available beneath the labels. The default is interaction " ". The string is printed at the top of the table unless prehead , posthead , prefoot , or postfoot is specified. In the latter case, the variable title can be used to insert the title.

The string is printed at the bottom, of the table unless prehead , posthead , prefoot , or postfoot is specified. In the latter case, the variable note can be used to insert the note. For example, the specification. Various substitution functions can be used as part of the text lines specified in strlist see the Remarks on using -variables.

For example, hline plots a horizontal "line" series of dashes, by default; see the hlinechar option or M inserts the number of models in the table. M could be used in a LaTeX table heading as follows:. The default is hlinechar - , resulting in a dashed line. The substitute may also be helpful; see the Layout options. The suboptions are: blist matchlist to assign specific prefixes to certain rows in the table body. Specify the matchlist as pairs of regressors and prefixes, that is: name prefix [ name prefix Note that equation names cannot be used if the unstack option is specified.

This option may, for example, be useful for separating thematic blocks of variables by adding vertical space at the end of each block. A LaTeX example:. Labels containing spaces should be embraced in double quotes " label 1 " " label 2 " etc. An example would be to add a column indicating the hypothesized directions of effects, e. Use double quotes to break the title into several rows given there are multiple header rows , i. The default is the value of modelwidth. For example, assume that you include the categorical variable rep78 "Repair Record " from the auto dataset in some of your models using xi see help xi.

You can now type. The suboptions are: label string to specify the label that is printed in the table columns. The default is label ref. Type nolabel to suppress the default label. The default is above. For example, if the 5th category of rep78 is used as reference category, i. The default is to use the names of the stored estimation sets or their titles, if the label option is specified and titles are available.

The suboptions for use with mlabels are: depvars to specify that the name or label of the first dependent variable of the model be used as model label. Note that the label option implies titles unless notitles is specified. The default is to compose a label from the names or labels of the statistics printed in the cells of that column. The default is to use the equation names as stored by the estimation command, or to use the variable labels if the equation names correspond to individual variables and the label option is specified.

The suboptions for use with eqlabels are: merge to merge equation labels and parameter labels instead of printing equation labels in separate rows. This is useful, e. The labels are placed in the first physical column of the output for the group of models to which they apply. The suboptions for use with mgroups are: pattern pattern to establish how the models are to be grouped.

For example,. Note that the first group will always start with the first model regardless of whether the first token of pattern is a one or a zero. In particular, the span suboption might be of interest here. The default is to enclose the numbers in parentheses, i.

Alternatively, specify l and r to change the tokens on the left and right of each number. For example, numbers "" " " would result in 1 , 2 , etc. It may be used even if the file does not yet exist. This is the default unless using is specified. Use notype to suppress the display of the table. This option does not affect how tabs are written to the text file specified by using.

Note that substitute does not apply to text inserted by topfile or bottomfile. In addition, there are five internal styles called smcl default for screen display , tab export default , fixed , tex , and html. The smcl style is suitable for displaying the table in Stata's results window and is the default unless using is specified. It includes SMCL formatting tags and horizontal lines to structure the table. Note that explicitly specified options take precedence over settings provided by a style.

For example, if you type. Similarly, specifying noabbrev will turn abbreviation off if using the fixed style. See Defaults files in the Remarks section to make available your own style. Note that instead of typing option , none you may simply specify option none. If begin is specified in varlabels or stats ,labels , the prefix will be repeated for each regressor or summary statistic. Use nofirst to suppress the first occurrence of the prefix.

In varlabels , nofirst applies equation-wise, i. If end is specified in varlabels or stats ,labels , the suffix will be repeated for each regressor or summary statistic. Use nolast to suppress the last occurrence of the suffix. In varlabels , nolast applies equation-wise, i. The default is to print both. This suboption is relevant only for the mgroups , mlabels , eqlabels , and collabels options. Variable is string type. Strings were replaced with other strings; the ". It's just text with no special meaning.

The following doesn't work and maybe is your case. You have a numeric variable again with labels and you are asking Stata to check for string characters. Thus, there is a type mismatch. As it is, your code is addressing the variables as if they were string type because of the quotes used in the loop. If you want to use extended missing values.

System missings and extended missings only apply to them. The only missing for string types is a blank "". It seems you have numeric variables due to the error you report. If your variables were all string type, then you wouldn't get a type mismatch error. Nevertheless, you mention some "n. Underlying the value label, is some numeric value. You can see them running list, nolabel. If that is the case, you can replace the numeric values corresponding to value labels equal to "n.

Notice that for variable x , the value label n. Thus, for one variable you want to replace values of 3, and for the other, values of 4. The code will take care of that automatically. Additionally, Stata now recognizes the replaced values as missings. If you need to select one specific type of variables, Aspen Chen has already mentioned ds. Other options can be found at.

The Stata Journal 10, Number 2, pp. Freely available on the web. Stack Overflow for Teams — Start collaborating and sharing organizational knowledge. Create a free Team Why Teams? Learn more. Asked 7 years, 7 months ago. Modified 4 years, 7 months ago.

Viewed 4k times. Emanuel Emanuel 89 4 4 silver badges 14 14 bronze badges. Note that Stata doesn't attach any special meaning to the string ". Although the thread is about how to do it, replacing a string value with an easily explained meaning with another that needs to be explained is not an obviously helpful step. Add a comment. Sorted by: Reset to default. Highest score default Date modified newest first Date created oldest first. The code indeed only applies to string variables.

Aspen Chen Aspen Chen 3 3 silver badges 9 9 bronze badges. The final simplification of the code from Nick worked smoothly. I also tried the others code their really helpful for me to get into foreach, and understanding it, for my particular case. Really helpful, thanks everyone. Note that foreach var of varlist is not what I suggested. The output from ds is already a known to be a varlist b guaranteed parsed into distinct variable names.

So foreach var in will work fine and stating otherwise obliges Stata to do a small amount of unnecessary work. That's my oversight for not removing varlist from the line. Consider some examples. Other options can be found at The Stata Journal 10, Number 2, pp. Community Bot 1 1 1 silver badge.

Roberto Ferrer Roberto Ferrer That's great additional information.

#### Toggle navigation estout.

String variable not allowed error in stata forex | Just such a table can be created using the following procedure:. If you need to select one specific type of variables, Aspen Chen has already mentioned ds. You can see them running list, nolabel. The default is the name of the statistic. Sign up using Facebook. |

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Solution for analyzing an extremely affordable. Of the Splashtop be a popular. Although, a lot number of the configuration file.Result of obs. Exercise 3 : rename. We would usually introduce Stata graphics for time-series data with the command tsline. Now let's use xtline with the overlay option to draw the real per capital GDP for selected countries. Stata allow you to make publication-quality graphs, which is best done in a -do- file. The above file has scaed the graph as. Exercise 1 : Time Series Operators. Declare the database as time-series with the tsset command.

In this part we look at the D. In time-series given a variable , its lag is denoted as. Note that we could have also generated lags by. Given a variable , its first difference is denoted as. The forward F. A white noise process often denoted has the following properties.

In Stata to tabulate and graph autocorrelations, use the corrgram command. The above shows the autocorrelation function and the partical autocorrelation function, respectively. Time-series analysis often requires you to check whether a series is weakly stationary or non-stationary has a unit root. A time-series is weakly stationary if. In this session we will learn various trend estimation techniques used in financial data analysis. The command may be applied to a single variable or to a list of multiple variables.

A nonparametric locally weighted regression interpolation can be performed in Stata by the lowess command. The lpoly command is sued for Kernel-weighted local polynomial smoothing. In this session we will learn how to test for stationarity and structural breaks in time-series data.

Let's get the data from wdi CN : Household final consumption expenditure, etc. CD : Household final consumption expenditure, etc. Three common unit root tests are the dfuller augmented Dickey-Fuller , dfgls augmented Dickey-Fuller using GLS, which is generally a more powerful test than dfuller and the pperron Phillips-Perron tests. Don't forget to tsset the data. Here is a simple code that generates a series with structural break and tests for the break an F-test really!

Selection-order criteria. Statistic Value Value Value. Note that if differencing one time gives a stationary series, then we say that the original series is integrated with order one I 1. The arima command has features that go beyond univariate time series modeling. The ar and ma options may also be used separately, in which case a number list of lags to be included should be specified.

And differencing can be applied to the dependent variable using the D. An important test of ARIMA model's adequacy is whether the residuals appear to be uncorrelated white noise. Stata's corrgram tests the white-noise null hypothesis across different lags.

We could obtain the same test for any specific lag using the wntestq command which performs the portmanteau or Q test for white noise. The null is we have white noise and no autocorrelation - which unfortunately in our example above we reject : Our residuals deviate from white noise. The Bartlett test can also be invoked by wntestb which calculates and displays the cumulative periodogram along with standard errors under the null hypothesis that the underlying series is white noise.

Anyway let's move on! Recall that our data starts from m1 to m8 Extending periods. We will use data from m1 to m12 to estimate the parameters of the ARIMA model to forecast Thai's exports to Korea from m1 moving forward. Stata's y and yresiduals of the predict command computes the predicted values and residuals of the original variable before any time-series operators were applied n this case the log of exports to Korea.

For rolling estimation, we could try. Stock and Mark W. As a macroeconomics researcher, you are often interest in a describing and summarizing macroeconomic data, b making macroeconomic forecasts, c quantifying what we know about the true structure of the macroeconomy, and d advising or acting as policymakers. Following the problems of the s, none of the structural models or univariate time series approaches seemed trustworthy.

VARs arose in this vacuum. We will get data from the St. We will fit the model for the period q1 to q4. Here is the data all merged and ready for use [ down ]. Variable Obs Mean Std. Min Max. Endogenous: inflation unratensa unratensa. Then we use Stata's varbasic to estimate a simple reduced form VAR with no exogenous variables. This can be done easily with Stata's varstable command. Granger causality.

To compare the OIRF's for two different orderings. The var and svar in Stata is used for structural vector autoregressive modeling. We now estimate the same system as an SVAR, which means we cant to impose the rest riction. Note that Stata acknowledges this specification as an exactly identified model.

In this session we look at modeling nontstationary series in Stata. It is common to difference nonstationary series before dealing with them as we have seen with ARIMA modeling above. This is not a perfect solution as one loses information about the levels when time series is differenced. There is a huge literature on testing if the forward exchange rate is an unbiased predictor of future spot rates. The last command duplicates Fig.

It can be proved Greene, that in the case of k variables, there can only be up to k-1 linearly independent cointegrating vectors. In this session we look at some important volatility models using Stata. Suppose that instead of a conditional mean that changes over time we have a conditional variance that changes over time. ARCH models are estimated by the maximum likelihood method.

Note that the estimated return —because it does not change over time—is i this case both the conditional and unconditional mean return. Use the option names. Let's call this variable "time". Exercise 3 : destring To convert string variables to numeric variables use the destring command.

Exercise 2 : use We will continue here assuming that you have the WB database as a Stata data file in your working directory. You can download this [ link ] In Stata use loads a Stata-format dataset with extension. How to turn a string variable to a numeric variable? But they aren't really. Don't worry as Stata will allow all time-series commands to work in a panel setting. But sometime they may not work as you intended. Alternatively, we can get access data directly from the web, e.

Using dates in Stata When dealing with time-series data, it is usually important that the date has been set correctly. We then have to format this so it makes sense to us, i. Declaring time-series In Stata, declaring a dataset as time-series is done with the tsset command.

Once set, there are a host of time-series commands avaliable for your use. Sorting data Sorting data is usually advisable before executing a complicated command. Also see the eform and transform options for more information on the kinds of statistics that can be displayed.

See the star suboption below if you want to attach the stars to another element. Use this to add empty cells. For example, cells "b p" ". Use the incelldelimiter option to specify the text to be printed between the combined elements the default is to print a single blank.

A set of suboptions may be specified in parentheses for each element named in array except for. For example, to add significance stars to the coefficients and place the standard errors in parentheses, specify cells b star se par. The following suboptions are available. The symbols and the values for the thresholds and the number of levels are fully customizable see the Significance stars options.

If only one format is specified, it is used for all occurrences of the statistic. For example, type. If multiple formats are specified, the first format is used for the first regressor in the estimates table, the second format for the second regressor, and so on. The last format is used for the remaining regressors if the number of regressors in the table is greater than the number of specified formats. For instance, type. Note that, regardless of the display format chosen, leading and trailing blanks are removed from the numbers.

White space can be added by specifying a modelwidth see the Layout options. The default is the name of the statistic. It is also possible to specify custom "parentheses". For ci the syntax is: ci par [ l m r ] vacant string to print string if a coefficient is not in the model. The default is to leave such cells empty. For example, the specification t keep mpg would display the t-statistics exclusively for the variable mpg. A 1 indicates that the statistic be printed; 0 indicates that it be suppressed.

For example beta pattern 1 0 1 would result in beta being reported for the first and third models, but not for the second. The default is pvalue p , indicating that the standard p-values are to be used i. Alternatively, specify pvalue mypvalue , in which case the significance stars will be determined from the values in e mypvalue.

Values outside [0,1] will be ignored. A droplist comprises one or more specifications, separated by white space. A specification can be either a parameter name e. Be sure to refer to the matched equation names, and not to the original equation names in the models, when using the equations option to match equations. Specify the relax suboption to allow droplist to contain elements for which no match can be found.

This is the default. Type noomitted to drop omitted coefficients. Type nobaselevels to drop base levels of factor variables. Note that keep does not change the the order of the coefficients. Use order to change the order of coefficients. Reordering of coefficients is performed equation by equation, unless equations are explicitly specified.

Coefficients and equations that do not appear in orderlist are placed last in their original order. Extra table rows are inserted for elements in orderlist that are not found in the table. The syntax for groups is " group " [ " group " The single groups should be enclosed in quotes unless there is only one group and name is specified.

Note that name may contain spaces. For example, if some of the models contain a set of year dummies, say y1 y2 y3 , specify estout The default is labels Yes No. Use quotes if the labels include spaces, e. See the varlabels option if you are interested in relabeling coefficients after matching models and equations. The default is to match all first equations into one equation named main , if the equations have different names and match the remaining equations by name.

Specify equations "" to match all equations by name. Alternatively, specify matchlist , which has the syntax term [ , term If a number, it specifies the position of the equation in the corresponding model; would indicate that equation 1 in the first model matches equation 3 in the second, which matches equation 1 in the third. A period indicates that there is no corresponding equation in the model; In syntax 2, you specify just one number, say, 1 or 2 , and that is shorthand for If it is suppressed, a name such as 1 or 2 etc.

For example, equations 1 indicates that all first equations are to be matched into one equation named 1. All equations not matched by position are matched by name. The exponent of b is displayed in lieu of the untransformed coefficient; standard errors and confidence intervals are transformed as well. Specify a pattern if the exponentiation is to be applied only for certain models.

For instance, eform 1 0 1 would transform the statistics for Models 1 and 3, but not for Model 2. Note that, unlike regress and estimates table , estout in eform-mode does not suppress the display of the intercept. Note: eform is implemented via the transform option. If both options are specified, transform takes precedence over eform. Use as a placeholder for the function's argument in fx and dfx.

For example, type estout Alternatively, list may be specified as coefs fx dfx [ Syntax for coefs is as explained above in the description of the drop option however, include coefs in quotes if it contains multiple elements. Say, a model has two equations, price and select , and you want to exponentiate the price equation but not the select equation.

You could then type estout Specify the pattern suboption if the transformations are to be applied only for certain models. For instance, pattern 1 0 1 would apply the transformation to Models 1 and 3, but not Model 2. This option has an effect only if mfx has been applied to a model before its results were stored see help mfx or if a dprobit see help probit , truncreg,marginal help truncreg , or dtobit Cong model is estimated.

One of the parameters u , c , or p , corresponding to the unconditional, conditional, and probability marginal effects, respectively, is required for dtobit. Note that the standard errors, confidence intervals, t-statistics, and p-values are transformed as well. Using the margin option with multiple-equation models can be tricky.

The marginal effects of variables that are used in several equations are printed repeatedly for each equation because the equations per se are meaningless for mfx. To display the effects for certain equations only, specify the meqs option. Alternatively, use the keep and drop options to eliminate redundant rows. The equations option might also be of help here. As of Stata 11, the use of mfx is no longer suggested, since mfx has been superseded by margins.

Results from margins can directly be tabulated by estout as long as the post option is specified with margins. Alternatively, you may add results from margins to an existing model using estadd margins or estpost margins. The first token in string is used as the symbol. The default is: discrete " d " for discrete change of dummy variable from 0 to 1 To display explanatory text, specify either the legend option or use the discrete variable see the Remarks on using -variables.

Use nodiscrete to disable the identification of dummy variables as such. The default is to indicate the dummy variables unless they have been interpreted as continuous variables in all of the models for which results are reported for dprobit and dtobit , however, dummy variables will always be listed as discrete variables unless nodiscrete is specified. Specifying this option does not affect how the marginal effects are calculated.

If you use the equations option to match equations, be sure to refer to the matched equation names and not to the original equation names in the models. The default text is " dropped ". The scalarlist may contain numeric e -scalars such as, e. In addition, the following statistics are available: aic Akaike's information criterion bic Schwarz's information criterion rank rank of e V , i.

The rules for the determination of p are as follows note that although the procedure outlined below is appropriate for most models, there might be some models for which it is not : 1 p-value provided: If the e p scalar is provided by the estimation command, it will be interpreted as indicating the p-value of the model. This p-value corresponds to the standard overall F test of linear regression. This p-value corresponds to the Likelihood-Ratio or Wald chi2 test.

Type ereturn list after estimating a model to see a list of the returned e -scalars and macros see help ereturn. Use the estadd command to add extra statistics and other information to the e -returns. Use: fmt fmt [ fmt Note that the last specified format is used for the remaining scalars if the list of scalars is longer than the list of formats.

Thus, only one format needs to be specified if all scalars are to be displayed in the same format. If no format is specified, the default format is the display format of the coefficients. If specified, the labels are used instead of the scalar names. For example:.

Use the label suboption to rename such statistics, e. An alternative approach is to use estout 's substitute option see the Layout options. The stars are attached to the scalar statistics specified in scalarlist. If scalarlist is omitted, the stars are attached to the first reported scalar statistic. The printing of the stars is suppressed in empty results cells i. The determination of the model significance is based on the p-value of the model see above.

Hint: It is possible to attach the stars to different scalar statistics within the same table. The default is to print the statistics in separate rows beneath one another in each model's first column. Rows and cells that contain blanks have to be embraced in quotes. For example, Cells may contain multiple statistics and text other than the placeholder symbol is printed as is provided the cells' statistics are part of the model.

Note that the number of columns in the table only depends on the cells option see above and not on the layout suboption. If, for example, the table has two columns per model and you specify three columns of summary statistics, the summary statistics in the third column are not printed. The default placeholder is. Note that the thresholds must lie in the 0,1] interval and must be specified in descending order. Long names labels are abbreviated depending on the abbrev option and short or empty cells are padded out with blanks to fit the width specified by the user.

Specifying low values may cause misalignment. If a non-zero modelwidth is specified, model names are abbreviated if necessary depending on the abbrev option and short or empty results cells are padded out with blanks.

In contrast, modelwidth does not shorten or truncate the display of the results themselves coefficients, t-statistics, summary statistics, etc. Specify a list of numbers in modelwidth to assign individual widths to the different results columns the list is recycled if there are more columns than numbers.

The purpose of modelwidth is to be able to construct a fixed-format table and thus make the raw table more readable. Be aware, however, that the added blanks may cause problems with the conversion to a table in word processors or spreadsheets. The default is to place the equations below one another in a single column. Summary statistics will be reported for each equation if unstack is specified and the estimation command is either reg3 , sureg , or mvreg see help reg3 , help sureg , help mvreg.

For more information on using such functions, see the description of the functions in help file. See the begin option above for further details. See the cells option for details. The default string is a single blank. The standard decimal symbol a period or a comma, depending on the input provided to set dp ; see help format is replaced by string.

The standard minus sign - is replaced by string. Use nolz to advise estout to omit the leading zeros that is, to print numbers like 0. For example, extracols 1 adds an extra column between the left stub of the table and the first column. The wrap option is only useful if several parameter statistics are printed beneath one another and, therefore, white space is available beneath the labels. The default is interaction " ". The string is printed at the top of the table unless prehead , posthead , prefoot , or postfoot is specified.

In the latter case, the variable title can be used to insert the title. The string is printed at the bottom, of the table unless prehead , posthead , prefoot , or postfoot is specified. In the latter case, the variable note can be used to insert the note. For example, the specification. Various substitution functions can be used as part of the text lines specified in strlist see the Remarks on using -variables.

For example, hline plots a horizontal "line" series of dashes, by default; see the hlinechar option or M inserts the number of models in the table. M could be used in a LaTeX table heading as follows:. The default is hlinechar - , resulting in a dashed line. The substitute may also be helpful; see the Layout options. The suboptions are: blist matchlist to assign specific prefixes to certain rows in the table body. Specify the matchlist as pairs of regressors and prefixes, that is: name prefix [ name prefix Note that equation names cannot be used if the unstack option is specified.

This option may, for example, be useful for separating thematic blocks of variables by adding vertical space at the end of each block. A LaTeX example:.