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Shrinidhi Pareek

Economics Tutor with Specialties in AP Subjects and Special Needs

4.8(111)

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Profile photo of Shrinidhi, Economics tutor at Wiingy
Profile photo of Shrinidhi, Economics tutor at Wiingy
Economics learning materials by Shrinidhi
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Private tutor - Shrinidhi Pareek

Bachelors degree

$20

$18

/ hour

Rated 4.8 out of 5 stars.
★★★★★
Popular
Highly skilled & top-rated
111 ratings
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About your economics tutor

Hi there! I'm Shri Nidhi Pareek , an experienced tutor with specialization in Economics and its subsidiary subjects. With a solid background in B.A, Computer Science, English Literature, and Economics from my undergraduate studies,have completed my masters in Economics and I'm onto to my PhD journey. I bring a multidisciplinary approach to my tutoring sessions. Over the past 6 years, I've honed my skills and methodologies, ensuring personalized learning experiences for my students. Moreover, my qualifications in Python and other programming languages adds a unique dimension to my teaching, integrating real-world applications into academic concepts. I'm passionate about empowering students to excel in Economics and beyond, fostering critical thinking and problem-solving skills along the way.

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Faster understanding of economic models

Students grasp economic models in less time.

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Rated 4.9/5 for student engagement

Parents love how lessons keep their child engaged.

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Clear explanations of complex concepts

Students grasp tough concepts through clear explanations.

Economics class overview

Assessment and Understanding: I start by assessing my students' current level of understanding and identifying their strengths and areas for improvement. This helps me tailor my approach to meet their specific needs. Engagement and Interaction: I believe in creating an interactive and engaging learning environment. I encourage active participation from my students through discussions, activities, and hands-on exercises. This helps to reinforce concepts and keep them motivated. Feedback and Adaptation: Regular feedback is crucial for both me and my students. I provide constructive feedback to help them understand their progress and areas where they can improve. Additionally, I continuously adapt my teaching methods based on their feedback and learning styles to ensure maximum effectiveness.

Specialities of your economics tutor

Exam prep icon

Exam prep

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Test prep

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Job readiness

Case study analysis icon

Case study analysis

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Review sessions

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Grade improvement

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Customized learning plans

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Project help

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Publication in journals

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Economics concept taught by Shrinidhi

Katrina learned about 1 month ago

Shri Nidhi Pareek is teaching Katrina Zhang about skewness in regression analysis, covering methods to check for it (QQ plots, histograms, Shapiro-Wilk test), understanding its implications (positive/negative residual patterns), and correcting it through model specification, variable inclusion, and transformations (log, square, inverse). Shri Nidhi emphasizes the importance of understanding the underlying relationships and theoretical basis of the model, not just prediction, and encourages Katrina to review relevant literature. They plan to continue the lesson after Shri Nidhi's interview.

Model Specification

Shapiro-Wilk Test

Outliers

Correcting Non-Normality

Skewness

Checking Normality

Literature Review

Econometrics Data

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Katrina learned about 2 months ago

Shri Nidhi Pareek tutored Katrina Zhang on interpreting regression analysis results using R, focusing on residuals, coefficients, hypothesis testing, and R-squared. Katrina ran a simple linear regression, and Shri Nidhi explained how to interpret the output and identify potential issues. They discussed future sessions to cover skewness, kurtosis, normality, and heteroscedasticity, and Katrina was assigned to review statistics and hypothesis testing.

R-squared Interpretation

Data Representation

T-statistic Meaning

P-value Interpretation

Coefficient Sign Importance

QQ Plot Interpretation

Residual Statistics

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Katrina learned about 2 months ago

Shri Nidhi Pareek tutored Katrina Zhang on the topic of multicollinearity, covering perfect vs. imperfect collinearity and its consequences on parameter estimation. Katrina was assigned to gather UK economic data (inflation, unemployment, GDP) for analysis in Excel. Shri Nidhi will use R and Python to model the data, and they will review the results and assumptions in the next session.

Coefficient of Correlation (R)

Imperfect Collinearity

Perfect Collinearity

Non-Singular Matrix

Time Series Data

Matrix Notation

R-squared

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Katrina learned about 2 months ago

Shri Nidhi Pareek tutored Katrina Zhang on the Gauss-Markov theorem, its assumptions, and the concept of multicollinearity. Katrina reviewed CLRM assumptions and the implications of violating them, particularly focusing on perfect multicollinearity. Shri Nidhi assigned reading material from "Econometrics for Dummies" and plans to introduce Stata in future sessions, along with practical examples to address multicollinearity.

Consequences of Perfect Multi-collinearity

Perfect Collinearity

Multi-collinearity

Assumptions of CLRM

Gauss-Markov Theorem

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Katrina learned 3 months ago

Shri Nidhi Pareek tutored Katrina Zhang in econometrics, covering regression analysis and the Gauss-Markov theorem, with a focus on clarifying sample parameter averages and the expectation operator. Pareek is adjusting the teaching approach to prioritize interpretation and application, assigning reading and practice questions, and planning to review basic statistical concepts and specific questions in future sessions. Pareek is also creating new notes to better explain the material.

Biased vs. Unbiased Estimators

OLS and Linear Modeling

Gauss-Markov Theorem

Error Term (u)

Multiple Random Sampling

Expectation Operator

Variance Importance

Sample vs. Population Regression Function

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Katrina learned 3 months ago

Shri Nidhi Pareek tutored Katrina Zhang on econometrics, specifically covering OLS assumptions and the sum of squares (TSS, ESS, RSS). Katrina was assigned readings from DeGit and Dougherty to reinforce these concepts, and they plan to discuss the Gauss-Markov theorem in the next session.

Econometrics Resources

Model Specification

Multicollinearity

IID

Homoscedasticity

No Autocorrelation

Zero Conditional Mean

Zero Mean of Error Term

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Your economics tutor also teaches

Economics

Economics

AP Macroeconomics

AP Macroeconomics

AP Microeconomics

AP Microeconomics

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Teaching tools used by economics tutor

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Practice worksheets

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Presentations

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Assessments

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Quizzes

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Digital whiteboard

Student types for economics class

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School

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College

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Adult/Professionals

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All levels

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Home schooled

Interactive economics lessons

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Record lessons

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Note taking

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Pets are welcomed

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Parent feedback

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Mobile joining

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