code: def runStickyEregressionsInStata(infile_name,interval_size,meas_err,sticky,all_specs,stata_exe):
      '''
      Runs regressions for the main tables of the StickyC paper in Stata and produces a
      LaTeX table with results for one "panel". Running in Stata allows production of
      the KP-statistic, for which there is currently no command in statsmodels.api.
      Parameters
      ----------
      infile_name : str
          Name of tab-delimited text file with simulation data.  Assumed to be in
          the results directory, and was almost surely generated by makeStickyEdataFile
          unless we resort to fabricating simulated data.  THAT'S A JOKE, FUTURE REFEREES.
      interval_size : int
          Number of periods in each regression sample (or interval).
      meas_err : bool
          Indicator for whether to add measurement error to DeltaLogC.
      sticky : bool
          Indicator for whether these results used sticky expectations.
      all_specs : bool
          Indicator for whether this panel should include all specifications or
          just the OLS on lagged consumption growth.
      stata_exe : str
          Absolute location where the Stata executable can be found on the computer
          running this code.  Usually set at the top of StickyEparams.py.
      Returns
      -------
      panel_text : str
          String with one panel's worth of LaTeX input.
      '''
      dofile = "StickyETimeSeries.do"
      infile_name_full = os.path.abspath(results_dir + infile_name + ".txt")
      temp_name_full = os.path.abspath(results_dir + "temp.txt")
      if meas_err:
          meas_err_stata = 1
      else:
          meas_err_stata = 0
      cmd = [stata_exe, "do", dofile, infile_name_full, temp_name_full, str(interval_size), str(meas_err_stata)]
      stata_status = subprocess.call(cmd,shell = 'true')
      if stata_status!=0:
          raise ValueError('Stata code could not run. Check the stata_exe in StickyEparams.py')
      stata_output = pd.read_csv(temp_name_full, sep=',',header=0)
      panel_text = makeResultsPanel(Coeffs=stata_output.CoeffsArray,
                       StdErrs=stata_output.StdErrArray,
                       Rsq=stata_output.RsqArray,
                       Pvals=stata_output.PvalArray,
                       OID=stata_output.OIDarray,
                       Counts=stata_output.ExtraInfo,
                       meas_err=meas_err,
                       sticky=sticky,
                       all_specs=all_specs)
      return panel_text