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Previous year question hub

Statistics, Econometrics and Mathematical Economics - Economics Previous Year Questions

Practice Statistics, Econometrics and Mathematical Economics - Economics previous year questions organised from real papers, with year-wise coverage and clear topic navigation.

6Papers
6Years
57Questions
1Topics

Statistics, Econometrics and Mathematical Economics question pattern

Every graph below is calculated only from this selection.

Questions by year

Year-wise coverage for Statistics, Econometrics and Mathematical Economics. Each bar uses a separate theme-derived color.

Difficulty distribution

How the classified questions are distributed by difficulty.

Easy 36 63.2%
Medium 21 36.8%

Question type distribution

MCQ, numerical, multiple-select and other formats found in these papers.

MCQ 33 57.9%
Numerical Answer Type (NAT) 18 31.6%
MSQ 6 10.5%

Subject weightage

Top subjects by unique question coverage.

Economics
57 Qs

Most asked topics

Top topics across the included previous year papers.

Statistics, Econometrics and Mathematical Economics
57 Qs

Subtopic coverage

Top subtopics inside this exact selection.

Probability, Sampling and Statistical Inference
23 Qs
Regression and Simultaneous Equations
21 Qs
Mathematical Economics and Optimization
13 Qs

Paper coverage

Question coverage for the most populated papers. Every active PYP paper remains listed below.

Humanities & Social Sciences - Economics (XH-C1) 2026
10 Qs
Humanities & Social Sciences-Economics (XH-C1) 2025
9 Qs
Humanities & Social Sciences-Economics (XH-C1) 2024
11 Qs
Humanities & Social Sciences-Economics (XH-C1) 2023
7 Qs
Humanities & Social Sciences-Economics (XH-C1) 2022
11 Qs
Humanities & Social Sciences-Economics (XH-C1) 2021
9 Qs

Browse by subtopics

Open a focused page built from the same verified paper data.

Probability, Sampling and Statistical Inference

Explore previous-paper coverage, trends and focused practice for Probability, Sampling and Statistical Inference.

23 questions6 papers6 years

Regression and Simultaneous Equations

Explore previous-paper coverage, trends and focused practice for Regression and Simultaneous Equations.

21 questions6 papers6 years

Mathematical Economics and Optimization

Explore previous-paper coverage, trends and focused practice for Mathematical Economics and Optimization.

13 questions6 papers6 years

Included previous year papers

Newest papers appear first. Sort by year, question coverage or name.

PaperYear / sessionQuestions in this viewOpen
Humanities & Social Sciences - Economics (XH-C1) 2026202610View paper
Humanities & Social Sciences-Economics (XH-C1) 202520259View paper
Humanities & Social Sciences-Economics (XH-C1) 2024202411View paper
Humanities & Social Sciences-Economics (XH-C1) 202320237View paper
Humanities & Social Sciences-Economics (XH-C1) 2022202211View paper
Humanities & Social Sciences-Economics (XH-C1) 202120219View paper

Sample previous year questions

A varied preview from the papers represented in this selection, with every available option.

1
2021 · Economics · Statistics, Econometrics and Mathematical Economics · Regression and Simultaneous Equations
Humanities & Social Sciences-Economics (XH-C1) 2021
What would be the consequences for the OLS estimator if heteroscedasticity is present in a regression model but ignored? Assume that all the other classical assumptions are valid.
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2
2022 · Economics · Statistics, Econometrics and Mathematical Economics · Regression and Simultaneous Equations
Humanities & Social Sciences-Economics (XH-C1) 2022
Suppose we estimate the following regression equation:
\( ln(x_t) = a_0 + a_1 ln(y_t) + \epsilon_t , \quad a_0, a_1 > 0 \)
where \( x_t \) and \( y_t \) are some variables. \( a_0 \) and \( a_1 \) are the intercept and the slope, respectively. \( \epsilon_t \) is the residual term. What is the interpretation of the coefficient \( a_1 \)?
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3
2023 · Economics · Statistics, Econometrics and Mathematical Economics · Regression and Simultaneous Equations
Humanities & Social Sciences-Economics (XH-C1) 2023
An analyst regressed \( Y \) on \( X_1 \) and \( X_2 \). If she later noticed that \( X_1 = 5X_2 \), then which of the following assumptions of the classical linear regression model was violated?
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4
2024 · Economics · Statistics, Econometrics and Mathematical Economics · Probability, Sampling and Statistical Inference
Humanities & Social Sciences-Economics (XH-C1) 2024
Let \(x_1, x_2, \cdots, x_n\) be an independently, and identically distributed (iid) random sample drawn from a population that follows the Normal Distribution \(N(\mu, \sigma^2)\), where both the mean (\(\mu\)) and variance (\(\sigma^2\)) are unknown. Let \(\bar{x}\) be the sample mean. The maximum likelihood estimator (MLE) of the variance (\(\hat{\sigma}^2_{MLE}\)) is/are then characterized by
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5
2025 · Economics · Statistics, Econometrics and Mathematical Economics · Mathematical Economics and Optimization
Humanities & Social Sciences-Economics (XH-C1) 2025
Let \( f(x, y, z) = x^2 y^3 z \).
Then,
\[ x \frac{\partial f}{\partial x} (x, y, z) + y \frac{\partial f}{\partial y} (x, y, z) + z \frac{\partial f}{\partial z} (x, y, z) = \]
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6
2026 · Economics · Statistics, Econometrics and Mathematical Economics · Mathematical Economics and Optimization
Humanities & Social Sciences - Economics (XH-C1) 2026
A is an \( n \times n \) matrix. Consider the following two statements
Statement 1: Columns of matrix A are linearly independent
Statement 2: Inverse of matrix A exists
Which one of the following statements is TRUE?
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