Modules / Lectures
Module NameDownload


Sl.No Chapter Name MP4 Download
1Introduction to econometrics and econometric analysis Part - 1Download
2Introduction to econometrics and econometric analysis Part - 2Download
3Different steps in econometric analysis Part - 1Download
4Different steps in econometric analysis Part - 2Download
5Desirable properties of the estimates of the population parameters Part - 1Download
6Desirable properties of the estimates of the population parameters Part - 2Download
7Classical Linear Regression Model Part - 1Download
8Classical Linear Regression Model Part - 2Download
9Classical Linear Regression Model Part - 3Download
10Classical Linear Regression Model Part - 4Download
11Classical Linear Regression Model Part - 5Download
12Goodness of fit measure, Anova and hypothesis testing Part - 1Download
13Goodness of fit measure, Anova and hypothesis testing Part - 2Download
14Goodness of fit measure, Anova and hypothesis testing Part - 3Download
15Goodness of fit measure, Anova and hypothesis testing Part - 4Download
16Goodness of fit measure, Anova and hypothesis testing Part - 5Download
17Application of STATA for hypothesis testing and introduction to multiple linear regression model Part - 1Download
18Application of STATA for hypothesis testing and introduction to multiple linear regression model Part - 2Download
19Application of STATA for hypothesis testing and introduction to multiple linear regression model Part - 3Download
20Application of STATA for hypothesis testing and introduction to multiple linear regression model Part - 4Download
21Application of STATA for hypothesis testing and introduction to multiple linear regression model Part - 5Download
22Multiple linear regression model and application of F statistics Part - 1Download
23Multiple linear regression model and application of F statistics Part - 2Download
24Multiple linear regression model and application of F statistics Part - 3Download
25Multiple linear regression model and application of F statistics Part - 4Download
26Multiple linear regression model and application of F statistics Part - 5Download
27Multiple linear regression model and application of F statistics Part - 6Download
28Structural break analysis using Chow test Part - 1Download
29Structural break analysis using Chow test Part - 2Download
30Structural break analysis using Chow test Part - 3Download
31Structural break analysis using Chow test Part - 4Download
32Structural break analysis using Chow test Part - 5Download
33Dummy Variable analysis and Application of Difference-inDifference for impact evaluation Part - 1Download
34Dummy Variable analysis and Application of Difference-inDifference for impact evaluation Part - 2Download
35Dummy Variable analysis and Application of Difference-inDifference for impact evaluation Part - 3Download
36Dummy Variable analysis and Application of Difference-inDifference for impact evaluation Part - 4Download
37Dummy Variable analysis and Application of Difference-inDifference for impact evaluation Part - 5Download
38Statistical analysis of Dummy Variable models and Testing for seasonal fluctuations Part - 1Download
39Statistical analysis of Dummy Variable models and Testing for seasonal fluctuations Part - 2Download
40Statistical analysis of Dummy Variable models and Testing for seasonal fluctuations Part - 3Download
41Statistical analysis of Dummy Variable models and Testing for seasonal fluctuations Part - 4Download
42Statistical analysis of Dummy Variable models and Testing for seasonal fluctuations Part - 5Download
43Statistical analysis of Dummy Variable models and Testing for seasonal fluctuations Part - 6Download
44Relaxing the assumptions of CLRM-Multicollinearity and Autocorrelation Part - 1Download
45Relaxing the assumptions of CLRM-Multicollinearity and Autocorrelation Part - 2Download
46Relaxing the assumptions of CLRM-Multicollinearity and Autocorrelation Part - 3Download
47Relaxing the assumptions of CLRM-Multicollinearity and Autocorrelation Part - 4Download
48Relaxing the assumptions of CLRM-Multicollinearity and Autocorrelation Part - 5Download
49Relaxing the assumptions of CLRM-Multicollinearity and Autocorrelation Part - 6Download
50Relaxing the assumptions of CLRM-Autocorrelation and Heteroscedasticity Part - 1Download
51Relaxing the assumptions of CLRM-Autocorrelation and Heteroscedasticity Part - 2Download
52Relaxing the assumptions of CLRM-Autocorrelation and Heteroscedasticity Part - 3Download
53Relaxing the assumptions of CLRM-Autocorrelation and Heteroscedasticity Part - 4Download
54Relaxing the assumptions of CLRM-Autocorrelation and Heteroscedasticity Part - 5Download
55Relaxing the assumptions of CLRM-Autocorrelation and Heteroscedasticity Part - 6Download
56Qualitative Response Models- Linear Probability Model, Logit and Probit Models Part - 1Download
57Qualitative Response Models- Linear Probability Model, Logit and Probit Models Part - 2Download
58Qualitative Response Models- Linear Probability Model, Logit and Probit Models Part - 3Download
59Qualitative Response Models- Linear Probability Model, Logit and Probit Models Part - 4Download
60Qualitative Response Models- Linear Probability Model, Logit and Probit Models Part - 5Download
61Qualitative Response Models- Probit and Tobit Models Part - 1Download
62Qualitative Response Models- Probit and Tobit Models Part - 2Download
63Qualitative Response Models- Probit and Tobit Models Part - 3Download
64Qualitative Response Models- Probit and Tobit Models Part - 4Download
65Qualitative Response Models- Probit and Tobit Models Part - 5Download

Sl.No Chapter Name English
1Introduction to econometrics and econometric analysis Part - 1Download
Verified
2Introduction to econometrics and econometric analysis Part - 2Download
Verified
3Different steps in econometric analysis Part - 1Download
Verified
4Different steps in econometric analysis Part - 2Download
Verified
5Desirable properties of the estimates of the population parameters Part - 1Download
Verified
6Desirable properties of the estimates of the population parameters Part - 2Download
Verified
7Classical Linear Regression Model Part - 1Download
Verified
8Classical Linear Regression Model Part - 2Download
Verified
9Classical Linear Regression Model Part - 3Download
Verified
10Classical Linear Regression Model Part - 4Download
Verified
11Classical Linear Regression Model Part - 5Download
Verified
12Goodness of fit measure, Anova and hypothesis testing Part - 1PDF unavailable
13Goodness of fit measure, Anova and hypothesis testing Part - 2PDF unavailable
14Goodness of fit measure, Anova and hypothesis testing Part - 3PDF unavailable
15Goodness of fit measure, Anova and hypothesis testing Part - 4PDF unavailable
16Goodness of fit measure, Anova and hypothesis testing Part - 5PDF unavailable
17Application of STATA for hypothesis testing and introduction to multiple linear regression model Part - 1PDF unavailable
18Application of STATA for hypothesis testing and introduction to multiple linear regression model Part - 2PDF unavailable
19Application of STATA for hypothesis testing and introduction to multiple linear regression model Part - 3PDF unavailable
20Application of STATA for hypothesis testing and introduction to multiple linear regression model Part - 4PDF unavailable
21Application of STATA for hypothesis testing and introduction to multiple linear regression model Part - 5PDF unavailable
22Multiple linear regression model and application of F statistics Part - 1PDF unavailable
23Multiple linear regression model and application of F statistics Part - 2PDF unavailable
24Multiple linear regression model and application of F statistics Part - 3PDF unavailable
25Multiple linear regression model and application of F statistics Part - 4PDF unavailable
26Multiple linear regression model and application of F statistics Part - 5PDF unavailable
27Multiple linear regression model and application of F statistics Part - 6PDF unavailable
28Structural break analysis using Chow test Part - 1PDF unavailable
29Structural break analysis using Chow test Part - 2PDF unavailable
30Structural break analysis using Chow test Part - 3PDF unavailable
31Structural break analysis using Chow test Part - 4PDF unavailable
32Structural break analysis using Chow test Part - 5PDF unavailable
33Dummy Variable analysis and Application of Difference-inDifference for impact evaluation Part - 1PDF unavailable
34Dummy Variable analysis and Application of Difference-inDifference for impact evaluation Part - 2PDF unavailable
35Dummy Variable analysis and Application of Difference-inDifference for impact evaluation Part - 3PDF unavailable
36Dummy Variable analysis and Application of Difference-inDifference for impact evaluation Part - 4PDF unavailable
37Dummy Variable analysis and Application of Difference-inDifference for impact evaluation Part - 5PDF unavailable
38Statistical analysis of Dummy Variable models and Testing for seasonal fluctuations Part - 1PDF unavailable
39Statistical analysis of Dummy Variable models and Testing for seasonal fluctuations Part - 2PDF unavailable
40Statistical analysis of Dummy Variable models and Testing for seasonal fluctuations Part - 3PDF unavailable
41Statistical analysis of Dummy Variable models and Testing for seasonal fluctuations Part - 4PDF unavailable
42Statistical analysis of Dummy Variable models and Testing for seasonal fluctuations Part - 5PDF unavailable
43Statistical analysis of Dummy Variable models and Testing for seasonal fluctuations Part - 6PDF unavailable
44Relaxing the assumptions of CLRM-Multicollinearity and Autocorrelation Part - 1PDF unavailable
45Relaxing the assumptions of CLRM-Multicollinearity and Autocorrelation Part - 2PDF unavailable
46Relaxing the assumptions of CLRM-Multicollinearity and Autocorrelation Part - 3PDF unavailable
47Relaxing the assumptions of CLRM-Multicollinearity and Autocorrelation Part - 4PDF unavailable
48Relaxing the assumptions of CLRM-Multicollinearity and Autocorrelation Part - 5PDF unavailable
49Relaxing the assumptions of CLRM-Multicollinearity and Autocorrelation Part - 6PDF unavailable
50Relaxing the assumptions of CLRM-Autocorrelation and Heteroscedasticity Part - 1PDF unavailable
51Relaxing the assumptions of CLRM-Autocorrelation and Heteroscedasticity Part - 2PDF unavailable
52Relaxing the assumptions of CLRM-Autocorrelation and Heteroscedasticity Part - 3PDF unavailable
53Relaxing the assumptions of CLRM-Autocorrelation and Heteroscedasticity Part - 4PDF unavailable
54Relaxing the assumptions of CLRM-Autocorrelation and Heteroscedasticity Part - 5PDF unavailable
55Relaxing the assumptions of CLRM-Autocorrelation and Heteroscedasticity Part - 6PDF unavailable
56Qualitative Response Models- Linear Probability Model, Logit and Probit Models Part - 1PDF unavailable
57Qualitative Response Models- Linear Probability Model, Logit and Probit Models Part - 2PDF unavailable
58Qualitative Response Models- Linear Probability Model, Logit and Probit Models Part - 3PDF unavailable
59Qualitative Response Models- Linear Probability Model, Logit and Probit Models Part - 4PDF unavailable
60Qualitative Response Models- Linear Probability Model, Logit and Probit Models Part - 5PDF unavailable
61Qualitative Response Models- Probit and Tobit Models Part - 1PDF unavailable
62Qualitative Response Models- Probit and Tobit Models Part - 2PDF unavailable
63Qualitative Response Models- Probit and Tobit Models Part - 3PDF unavailable
64Qualitative Response Models- Probit and Tobit Models Part - 4PDF unavailable
65Qualitative Response Models- Probit and Tobit Models Part - 5PDF unavailable


Sl.No Language Book link
1EnglishNot Available
2BengaliNot Available
3GujaratiNot Available
4HindiNot Available
5KannadaNot Available
6MalayalamNot Available
7MarathiNot Available
8TamilNot Available
9TeluguNot Available