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BECE 142 Solved Assignment 2026 (Applied Econometrics) English Medium
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BECE 142 Solved Assignment 2026 (Applied Econometrics) English Medium

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Feb 2026

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BECE 142 Solved Assignment prepared as per latest Applied Econometrics 2025-26 English Medium booklet.
Complete coverage of Assignment 1, 2 and 3 questions.
Step-by-step explanation of econometric models and estimation techniques.
Numerical solutions explained with clear interpretation.
Structured answers matching IGNOU evaluation pattern.
Carefully reviewed content ensuring accuracy and conceptual clarity.

Course Overview

BECE 142 Applied Econometrics Solved Assignment is prepared strictly as per the latest IGNOU July 2025 – January 2026 TMA booklet. This solution clearly explains econometric methodology, omitted variable bias, research design, distributed lag models, OLS vs ILS estimation, Keynesian model identification, panel data, fixed effects, logit-probit models, autocorrelation and multicollinearity in simple and practical language. Each answer is structured logically so you can confidently write it in your own words and score well. The content follows the official BECE-142 assignment guidelines :

BECE 142 Assignment Questions (As Per Official Booklet)

Course Code: BECE-142
Course Title: Applied Econometrics
Assignment Code: Asst/TMA/2025-26
Total Marks: 100 :

Assignment 1 (2 Γ— 20 = 40 Marks)

  1. Explain with illustrations the various steps involved in econometric methodology. What are the consequences of omitting a relevant explanatory variable in a regression model? (20)
  2. (a) A research study intends to examine the impact of self-employment scheme for rehabilitation of manual scavengers. Suggest an appropriate research design to undertake such a study giving reasons for the kind of research design you have suggested. (10) (b) Given the following model: Yi = Ξ²1 + Ξ²2Di + Ui Where Di = 0 for the first 20 observations and Di = 1 for the remaining 30 observations. You are also told that var (uiΒ²) = 300. (i) How would you interpret Ξ²1 and Ξ²2? (ii) What are the mean values of the two groups? (10)

Assignment 2 (3 Γ— 10 = 30 Marks)

  1. What do you mean by the term β€˜lags’ in the context of economic data? Explain the various methods to estimate the distributed lag models. (10)
  2. Distinguish between ordinary least square method and indirect least square method of estimation. Specify the conditions under which indirect least method is applied. (10)
  3. Consider the following Keynesian model of income determination: Ct = Ξ²10 + Ξ²11Yt + U1t It = Ξ²20 + Ξ²21t + Ξ²22Ytβˆ’1 + U2t Yt = Ct + It + Gt Where C = Consumption expenditure, I = Investment expenditure, Y = Income, G = Government expenditure. Gt and Ytβˆ’1 are assumed predetermined. (a) State the reduced form equations and determine which of the preceding equations are identified. (b) Which method will you use to estimate the parameters of the over identified equation and of the exactly identified equation? Justify your answer. (10)

Assignment 3 (5 Γ— 6 = 30 Marks)

  1. What is panel data? Explain the main advantages of panel data over pooled data. (6)
  2. Explain with illustration the computation process of fixed effect estimation method. (6)
  3. Differentiate between type I and type II errors. Which among them is relatively a serious one? (6)
  4. Distinguish between any three of the following: (i) Logit Model and Probit Model (ii) Fixed Effect Model and Random Effect Model (iii) One Way ANOVA and Two Way ANOVA (iv) Heteroscedasticity and Homoscedasticity (6)
  5. Write short note on any two of the following: (i) Autocorrelation (ii) Empirical Research (iii) Statistical Function (iv) Multicollinearity (6)

BECE 142 Assignments Details

  • Programme: BA Economics (Honours)
  • Course Code: BECE-142
  • Total Marks: 100
  • Weightage: 30% in final result
  • Session: July 2025 and January 2026
  • Medium: English

BECE 142 Assignment Submission End Date – Upto:
For the students enrolled in July 2025: 30th April 2026 – Submit to the Coordinator of the Learner Support Centre.
For the students enrolled in January 2026: 30th September 2026 – Submit to the Coordinator of the Learner Support Centre.

Why Choose Our BECE 142 IGNOU Solved Assignments?

  • Complete coverage of numerical and theoretical questions as per latest 2025-26 TMA booklet.
  • Clear explanation of econometric methodology, identification and estimation techniques.
  • Step-by-step approach for research design and model interpretation.
  • Strong conceptual clarity on panel data, fixed effects and lag models.
  • Answers structured exactly as per IGNOU marking expectations.
  • Carefully reviewed content ensuring accuracy and originality.

Why Buy From Unnati Education?

  • Trusted academic support for IGNOU students.
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  • Affordable pricing with quality material.
  • Instant PDF delivery.
  • Simple and exam-oriented language.
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FAQs

1. Is BECE 142 difficult?
BECE 142 involves analytical and numerical concepts of econometrics. It may look technical, but once you understand regression models, identification and estimation methods step by step, it becomes manageable. Structured answers and clear explanation help in scoring well.

2. Are numerical questions fully solved?
Yes, numerical models and equations are explained clearly with interpretation so that you understand the logic behind each step instead of just memorising formulas.

3. Is this as per latest 2025-26 assignment?
Yes, it is strictly prepared as per the official BECE-142 Applied Econometrics assignment for July 2025 and January 2026 sessions .

4. Can I directly submit this PDF?
No. IGNOU requires handwritten assignments. Use this PDF as a reference and write answers in your own handwriting before submission.

5. How important is BECE 142 assignment?
Assignments carry 30% weightage in the final result. A well-written assignment significantly improves your overall grade.

We offer a range of academic resources to support your IGNOU journey: Solved Assignments PDF, IGNOU Guess Papers (Solved), Previous Year Question Papers (Solved), and Handwritten Assignments (Scan & Hard Copy) to help you prepare confidently and perform better in exams.

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