Dear Statalisters,
I would like to kindly ask you again for some guidance.
I am working with a panel data and right know I am trying to estimate a relation between past returns and inflows. I run a regression using xtreg with inflows as dependent variable and lagged returns and controls as independent variables to estimate the relation. This gives me b`x' coefficients. These coefficients show a clear decay in the relation between inflows and returns, and thus I would like to estimate the decay parameter, which is called lambda. I use nl function to do that, and sadly I have a problem in its estimation. Not only coefficients seem odd, but also some of them are equal to 0 and std. errs. are presented as "constrained", as below.
Source SS df MS
Number of obs = 109,099
Model -414407.33 9 -46045.2593 R-squared = -343.7693
Residual 415612.81 109089 3.8098508 Adj R-squared = -343.7978
Root MSE = 1.951884
Total 1205.4808 109098 .011049522 Res. dev. = 455529.3
flow Coef. Std. Err. t P>t [95% Conf. Interval]
/b0 -7.07849 .0059164 -1196.41 0.000 -7.090086 -7.066894
/b1 -.3610517 .2203658 -1.64 0.101 -.7929655 .070862
/lambda .8339175 .020546 40.59 0.000 .7936476 .8741873
/b2 -1.423675 .5075197 -2.81 0.005 -2.418406 -.4289432
/b3 -4.466842 1.177618 -3.79 0.000 -6.774958 -2.158727
/b4 -12.04475 2.715115 -4.44 0.000 -17.36634 -6.723167
/b5 -27.1263 6.517495 -4.16 0.000 -39.9005 -14.35211
/b6 -75.59927 15.9357 -4.74 0.000 -106.833 -44.36553
/b7 -151.5769 38.11032 -3.98 0.000 -226.2726 -76.88121
/b8 -387.7994 94.38382 -4.11 0.000 -572.7903 -202.8084
/b9 -1027.495 . . . . .
/b10 0 (constrained)
/b11 0 (constrained)
/b12 0 (constrained)
/b13 0 (constrained)
/b14 0 (constrained)
/b15 0 (constrained)
/b16 0 (constrained)
/b17 0 (constrained)
/b18 0 (constrained)
The code I used is:
and this is a slice of my data:
These are my b`x' parameters:
May I kindly ask you to help me understand why some coefficients equal to 0 and certain standard errors are "contrained"? Is my code poorly written and I can't see errors?
More than grateful for your help.
Rafał
I would like to kindly ask you again for some guidance.
I am working with a panel data and right know I am trying to estimate a relation between past returns and inflows. I run a regression using xtreg with inflows as dependent variable and lagged returns and controls as independent variables to estimate the relation. This gives me b`x' coefficients. These coefficients show a clear decay in the relation between inflows and returns, and thus I would like to estimate the decay parameter, which is called lambda. I use nl function to do that, and sadly I have a problem in its estimation. Not only coefficients seem odd, but also some of them are equal to 0 and std. errs. are presented as "constrained", as below.
Source SS df MS
Number of obs = 109,099
Model -414407.33 9 -46045.2593 R-squared = -343.7693
Residual 415612.81 109089 3.8098508 Adj R-squared = -343.7978
Root MSE = 1.951884
Total 1205.4808 109098 .011049522 Res. dev. = 455529.3
flow Coef. Std. Err. t P>t [95% Conf. Interval]
/b0 -7.07849 .0059164 -1196.41 0.000 -7.090086 -7.066894
/b1 -.3610517 .2203658 -1.64 0.101 -.7929655 .070862
/lambda .8339175 .020546 40.59 0.000 .7936476 .8741873
/b2 -1.423675 .5075197 -2.81 0.005 -2.418406 -.4289432
/b3 -4.466842 1.177618 -3.79 0.000 -6.774958 -2.158727
/b4 -12.04475 2.715115 -4.44 0.000 -17.36634 -6.723167
/b5 -27.1263 6.517495 -4.16 0.000 -39.9005 -14.35211
/b6 -75.59927 15.9357 -4.74 0.000 -106.833 -44.36553
/b7 -151.5769 38.11032 -3.98 0.000 -226.2726 -76.88121
/b8 -387.7994 94.38382 -4.11 0.000 -572.7903 -202.8084
/b9 -1027.495 . . . . .
/b10 0 (constrained)
/b11 0 (constrained)
/b12 0 (constrained)
/b13 0 (constrained)
/b14 0 (constrained)
/b15 0 (constrained)
/b16 0 (constrained)
/b17 0 (constrained)
/b18 0 (constrained)
The code I used is:
Code:
nl (flow = {b0} + {b1}*exp(-{lambda=1}*(1-1))*L1rimkt + {b2}*exp(-{lambda=1}*(2-1))*L2rimkt+{b3}*exp(-{lambda=1}*(3-1))*L3rimkt +{b4}*exp(-{lambda=1}*(4-1))*L4rimkt +{b5}*exp(-{lambda=1}*(5-1))*L5rimkt +{b6}*exp(-{lambda=1}*(6-1))*L6rimkt +{b7}*exp(-{lambda=1}*(7-1))*L7rimkt +{b8}*exp(-{lambda=1}*(8-1))*L8rimkt +{b9}*exp(-{lambda=1}*(9-1))*L9rimkt+{b10}*exp(-{lambda=1}*(10-1))*L10rimkt+{b11}*exp(-{lambda=1}*(11-1))*L11rimkt+{b12}*exp(-{lambda=1}*(12-1))*L12rimkt+{b13}*exp(-{lambda=1}*(13-1))*L13rimkt+{b14}*exp(-{lambda=1}*(14-1))*L14rimkt+{b15}*exp(-{lambda=1}*(15-1))*L15rimkt+{b16}*exp(-{lambda=1}*(16-1))*L16rimkt+{b17}*exp(-{lambda=1}*(17-1))*L17rimkt+{b18}*exp(-{lambda=1}*(18-1))*L18rimkt+lagwaer+dummy_load+portret_sd+laglogsize)
Code:
* Example generated by -dataex-. To install: ssc install dataex
clear
input float(flow L1rimkt L2rimkt L3rimkt L4rimkt L5rimkt L6rimkt L7rimkt L8rimkt L9rimkt L10rimkt L11rimkt L12rimkt L13rimkt L14rimkt L15rimkt L16rimkt L17rimkt L18rimkt)
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end
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input float(b1 b2 b3 b4 b5 b6 b7 b8 b9 b10 b11 b12 b13 b14 b15 b16 b17 b18) .09464598 .12434772 .08417287 .09243746 .07212656 .07692026 .07609677 .07602116 .001871814 .06934923 .10551085 .05137958 .04174801 .0423523 .05154775 .05292499 .0358663 .036272254 end
More than grateful for your help.
Rafał
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