Interpretation of change in log in regression











up vote
0
down vote

favorite












I have build a time series regression with the formula:
$$Deltalog A = alpha+betaDeltalog B $$
I have found $beta= -0.05$. I can't seem to figure out how to interpret this number. I know that in a log-log regression the coefficient denotes a procentual effect. But I can't figure out how to inpret it for a $Deltalog-Deltalog$ regression. Could someone help me out?










share|cite|improve this question


























    up vote
    0
    down vote

    favorite












    I have build a time series regression with the formula:
    $$Deltalog A = alpha+betaDeltalog B $$
    I have found $beta= -0.05$. I can't seem to figure out how to interpret this number. I know that in a log-log regression the coefficient denotes a procentual effect. But I can't figure out how to inpret it for a $Deltalog-Deltalog$ regression. Could someone help me out?










    share|cite|improve this question
























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      I have build a time series regression with the formula:
      $$Deltalog A = alpha+betaDeltalog B $$
      I have found $beta= -0.05$. I can't seem to figure out how to interpret this number. I know that in a log-log regression the coefficient denotes a procentual effect. But I can't figure out how to inpret it for a $Deltalog-Deltalog$ regression. Could someone help me out?










      share|cite|improve this question













      I have build a time series regression with the formula:
      $$Deltalog A = alpha+betaDeltalog B $$
      I have found $beta= -0.05$. I can't seem to figure out how to interpret this number. I know that in a log-log regression the coefficient denotes a procentual effect. But I can't figure out how to inpret it for a $Deltalog-Deltalog$ regression. Could someone help me out?







      regression






      share|cite|improve this question













      share|cite|improve this question











      share|cite|improve this question




      share|cite|improve this question










      asked 4 hours ago









      Cardinal

      587




      587






















          1 Answer
          1






          active

          oldest

          votes

















          up vote
          0
          down vote













          The value $beta= -0.05$ represents the slope for the linear regression in the plane $Deltalog-Deltalog$ and $alpha$ is the $y$ value assumed for $B=1$.



          For the exponential representation we have



          $$Deltalog A = alpha+betaDeltalog B iff e^frac A{A_0}=e^{alpha}e^{left(frac B{B_0}right)^{beta}}$$






          share|cite|improve this answer























          • Yeah sure, but is there an interpretation like in the log-log plane?
            – Cardinal
            4 hours ago










          • @Cardinal Ah ok your doubt is about the not linear representation?
            – gimusi
            4 hours ago











          Your Answer





          StackExchange.ifUsing("editor", function () {
          return StackExchange.using("mathjaxEditing", function () {
          StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
          StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
          });
          });
          }, "mathjax-editing");

          StackExchange.ready(function() {
          var channelOptions = {
          tags: "".split(" "),
          id: "69"
          };
          initTagRenderer("".split(" "), "".split(" "), channelOptions);

          StackExchange.using("externalEditor", function() {
          // Have to fire editor after snippets, if snippets enabled
          if (StackExchange.settings.snippets.snippetsEnabled) {
          StackExchange.using("snippets", function() {
          createEditor();
          });
          }
          else {
          createEditor();
          }
          });

          function createEditor() {
          StackExchange.prepareEditor({
          heartbeatType: 'answer',
          convertImagesToLinks: true,
          noModals: true,
          showLowRepImageUploadWarning: true,
          reputationToPostImages: 10,
          bindNavPrevention: true,
          postfix: "",
          imageUploader: {
          brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
          contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
          allowUrls: true
          },
          noCode: true, onDemand: true,
          discardSelector: ".discard-answer"
          ,immediatelyShowMarkdownHelp:true
          });


          }
          });














           

          draft saved


          draft discarded


















          StackExchange.ready(
          function () {
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f2995472%2finterpretation-of-change-in-log-in-regression%23new-answer', 'question_page');
          }
          );

          Post as a guest
































          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes








          up vote
          0
          down vote













          The value $beta= -0.05$ represents the slope for the linear regression in the plane $Deltalog-Deltalog$ and $alpha$ is the $y$ value assumed for $B=1$.



          For the exponential representation we have



          $$Deltalog A = alpha+betaDeltalog B iff e^frac A{A_0}=e^{alpha}e^{left(frac B{B_0}right)^{beta}}$$






          share|cite|improve this answer























          • Yeah sure, but is there an interpretation like in the log-log plane?
            – Cardinal
            4 hours ago










          • @Cardinal Ah ok your doubt is about the not linear representation?
            – gimusi
            4 hours ago















          up vote
          0
          down vote













          The value $beta= -0.05$ represents the slope for the linear regression in the plane $Deltalog-Deltalog$ and $alpha$ is the $y$ value assumed for $B=1$.



          For the exponential representation we have



          $$Deltalog A = alpha+betaDeltalog B iff e^frac A{A_0}=e^{alpha}e^{left(frac B{B_0}right)^{beta}}$$






          share|cite|improve this answer























          • Yeah sure, but is there an interpretation like in the log-log plane?
            – Cardinal
            4 hours ago










          • @Cardinal Ah ok your doubt is about the not linear representation?
            – gimusi
            4 hours ago













          up vote
          0
          down vote










          up vote
          0
          down vote









          The value $beta= -0.05$ represents the slope for the linear regression in the plane $Deltalog-Deltalog$ and $alpha$ is the $y$ value assumed for $B=1$.



          For the exponential representation we have



          $$Deltalog A = alpha+betaDeltalog B iff e^frac A{A_0}=e^{alpha}e^{left(frac B{B_0}right)^{beta}}$$






          share|cite|improve this answer














          The value $beta= -0.05$ represents the slope for the linear regression in the plane $Deltalog-Deltalog$ and $alpha$ is the $y$ value assumed for $B=1$.



          For the exponential representation we have



          $$Deltalog A = alpha+betaDeltalog B iff e^frac A{A_0}=e^{alpha}e^{left(frac B{B_0}right)^{beta}}$$







          share|cite|improve this answer














          share|cite|improve this answer



          share|cite|improve this answer








          edited 4 hours ago

























          answered 4 hours ago









          gimusi

          83.8k74292




          83.8k74292












          • Yeah sure, but is there an interpretation like in the log-log plane?
            – Cardinal
            4 hours ago










          • @Cardinal Ah ok your doubt is about the not linear representation?
            – gimusi
            4 hours ago


















          • Yeah sure, but is there an interpretation like in the log-log plane?
            – Cardinal
            4 hours ago










          • @Cardinal Ah ok your doubt is about the not linear representation?
            – gimusi
            4 hours ago
















          Yeah sure, but is there an interpretation like in the log-log plane?
          – Cardinal
          4 hours ago




          Yeah sure, but is there an interpretation like in the log-log plane?
          – Cardinal
          4 hours ago












          @Cardinal Ah ok your doubt is about the not linear representation?
          – gimusi
          4 hours ago




          @Cardinal Ah ok your doubt is about the not linear representation?
          – gimusi
          4 hours ago


















           

          draft saved


          draft discarded



















































           


          draft saved


          draft discarded














          StackExchange.ready(
          function () {
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f2995472%2finterpretation-of-change-in-log-in-regression%23new-answer', 'question_page');
          }
          );

          Post as a guest




















































































          Popular posts from this blog

          How to change which sound is reproduced for terminal bell?

          Can I use Tabulator js library in my java Spring + Thymeleaf project?

          Title Spacing in Bjornstrup Chapter, Removing Chapter Number From Contents