You should consult with a professional where appropriate. The advice and strategies contained herein may not be suitable for your situation. No warranty may be created or extended by sales representatives or written sales materials. Limit of Liability/Disclaimer of Warranty: While the publisher and author have used their best efforts in preparing this book, they make no representations or warranties with respect to the accuracy or completeness of the contents of this book and specifically disclaim any implied warranties of merchantability or fitness for a particular purpose.
ISBN: 978-1-119-80028-6 ISBN: 978-1-119-80029-3 (ebk) ISBN: 978-1-119-80030-9 (ebk) No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning, or otherwise, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the Publisher, or authorization through payment of the appropriate per-copy fee to the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, (978) 750-8400, fax (978) 750-4470, or on the web at Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 748-6011, fax (201) 748-6008, or online at. Published by John Wiley & Sons, Inc., Hoboken, New Jersey. Looking for Vulnerabilities with MetasploitĬertificate Authorities and Key ManagementĬhapter 14 Security Architecture and DesignĬhapter 15 Cloud Computing and the Internet of ThingsĬhapter 4: Footprinting and ReconnaissanceĬhapter 14: Security Architecture and DesignĬhapter 15: Cloud Computing and the Internet of ThingsĬomprehensive Online Learning EnvironmentĬopyright © 2021 by John Wiley & Sons, Inc. See this example webuse lbwĪsdocx logistic low age lwt i.race smoke ptl ht ui, replace nestĪsdocx logistic low age lwt i.race ptl ht ui, nestĪsdocx logistic low age lwt i.Security Information and Event ManagementĬhapter 4 Footprinting and Reconnaissance Yes, nested regression tables can be created for all regression commands. * Note the bys company bys company : asdocx reg invest mvalue kstock, nest replace * Just keep 5 companies in the dataset and then estimate regression for each company keep if company < 6 One example is presented below: asdocx_update I have added the bysort and by options for nested regressions.
I know there is a way to get this done but I simply don’t know how to figure it out. I expect each of the codes above to produce neatly nested Tables by industrial category (group). bys group, sort : asdocx xtreg lnCt1 $xvar1, fe robust replace save(electricity) dec(4) stat(p, rmse) fs(8) font(Times New Roman) nest table_layout(autofit)īys group, sort : asdocx xtreg lnCt1 $xvar2, fe robust save(electricity) dec(4) stat(p, rmse) fs(8) font(Times New Roman) nestīys group, sort : asdocx xtreg lnCt1 $xvar3, fe robust save(electricity) dec(4) stat(p, rmse) fs(8) font(Times New Roman) nestīys group, sort : asdocx xtreg lnCt1 $xvar4, fe robust save(electricity) dec(4) stat(p, rmse) fs(8) font(Times New Roman) nestīys group, sort : asdocx xtreg lnCt1 $xvar5, fe robust save(electricity) dec(4) stat(p, rmse) fs(8) font(Times New Roman) nestīys group, sort : asdocx xtreg lnCt1 $xvar6, fe robust save(electricity) dec(4) stat(p, rmse) fs(8) font(Times New Roman) nestīys group, sort : asdocx xtreg lnCt1 $xvar7, fe robust save(electricity) dec(4) stat(p, rmse) fs(8) font(Times New Roman) nestīys group, sort : asdocx xtreg lnCt1 $xvar8, fe robust save(electricity) dec(4) stat(p, rmse) fs(8) font(Times New Roman) nest I want to estimate many panel data regressions for each industrial group using the nested function such that all regressions be nested in one table for each industrial group.Į.g. Now within the n-industry, I have four classifications: high tech, medium high tech, medium low tech and low tech. It is possible to do a nested bys regression with asdocx in state 16 or state 17?įor example, I have panel data of n-industry and t year.