🌿Algebra, Sets, Functions & Quadratics Explained🌿

🌿Scarth IS-LM Model Explained | Short Run vs Long Run | Stability & Multipliers🌿

🌿Shifts vs Movements in Demand & Supply | Complements and Substitutes Explained🌿

🌿Consumer & Producer Surplus + Price Ceiling (Mathematical Approach)🌿

🌿Arithmetic & Geometric Series + Financial Allocation Problems🌿

🌿Sequences and Series | Arithmetic & Geometric Progressions |Compound Interest & Exponential Growth🌿

🌿Pigeonhole Principle Explained | How Many Objects Are Enough?🌿

🌿Introduction to Derivatives | Sum, Product & Quotient Rules | Practice Session🌿

🌿PPF & Opportunity Cost | Solved MCQ in 5 Minutes🌿

🌿Solving 3×3 System using Augmented Matrix, Row Echelon Form & Backward Substitution🌿

🌿PPF (Concave, Convex & Linear) + Past Paper MCQs🌿

🌿Labour Market Theory: Industry Labour Demand & Backward-Bending Supply Curve🌿

🌿Vectors, Matrices & Solving Linear Equations | Live Recorded Lesson🌿

🌿Opportunity Cost, Comparative Advantage & Trade Decisions – Live Recorded Lesson🌿

🌿Sequential Games, Backward Induction & Oligopoly Equilibria (Cournot, Bertrand, Stackelberg)🌿

🌿Micro and Macro Foundations of the IS–LM and MP–LM Framework🌿

🌿Trees | Discrete Mathematics | Concepts🌿

🌿Constrained Optimisation | Live Recorded Lesson🌿

🌿Oligopoly, Collusion, and Strategic Interaction: An Introduction |Live Recorded Casual Lesson🌿

🌿Trees and Spanning Trees : Structure,Algorithms, and Applications | Discrete Mathematics🌿

🌿 Natural Monopoly and Price Discrimination| Live Recorded Casual Lesson🌿

🌿Monopoly | Live Recorded Casual Lesson🌿

🌿Mathematics 1 - Chapter 6 : Matrices and Linear Equations| Solved Questions (UOL/LSE) Part 1🌿

🌿Functions of Several Variables | Live Recorded Lesson 🌿

🌿Perfect Competition | Live Recorded Casual Lesson🌿

🌿Stability and Determinacy in the New Keynesian Model | Blanchard–Kahn Conditions Explained🌿

🌿How to Linearize Nonlinear Equations in Macro | Log Deviations & Taylor Expansion🌿

🌿Derivation of the New Keynesian Phillips Curve | Three-Equation DSGE Model🌿

🌿Derivation of the IS Curve in the New Keynesian Model | Intertemporal Consumption & Expectations🌿

🌿From Pre-New Keynesian to New Keynesian | How IS-LM & Price Adjustment Are Replaced🌿

🌿Pre-New Keynesian Framework | Dynamic IS-LM with Price Adjustment | Long Run vs Short Run🌿

🌿Vector Autoregression (VAR) Explained | Intuition, Equations & Applications (PART 3)🌿

🌿Vector Autoregression (VAR) Explained | Intuition, Equations & Applications (PART 2)🌿

🌿Vector Autoregression (VAR) Explained | Intuition, Equations & Applications (PART 1)🌿

🌿Vector Error Correction Model (VECM) | Cointegration, ECM Derivation & Intuition🌿

🌿Cointegration Explained | Long-Run Equilibrium, ECM & VAR (Engle–Granger Method)🌿

🌿Spurious Regression Explained | Non-Stationary Time Series & Dickey-Fuller Test🌿

🌿Stationary vs Non-Stationary Time Series | (Part 4)🌿

🌿Stationary vs Non-Stationary Time Series | (Part 3)🌿

🌿Stationary vs Non-Stationary Time Series | (Part 2)🌿

🌿Stationary vs Non-Stationary Time Series | (Part 1)🌿

🌿Mathematics 1 - Chapter 5 : Functions of Several Variables| Solved Questions (UOL/LSE) PART 5🌿

🌿Mathematics 1 - Chapter 5 : Functions of Several Variables| Solved Questions (UOL/LSE) PART 4🌿

🌿Mathematics 1 - Chapter 5 : Functions of Several Variables| Solved Questions (UOL/LSE) PART 3🌿

🌿 Mathematics 1 - Chapter 5 : Functions of Several Variables| Solved Questions (UOL/LSE) PART 2🌿

🌿 Mathematics 1 - Chapter 5 : Functions of Several Variables| Solved Questions (UOL/LSE) PART 1🌿

🌿Statistics 1—Chapter 4: Random Variables, the Normal and Sampling Distributions (PART 5)🌿

🌿Statistics 1—Chapter 4: Random Variables, the Normal and Sampling Distributions (PART 4)🌿

🌿Dynamic Programming | Finite Horizon Problem (7 Periods) Full Solution🌿

🌿Two-Period Consumption–Saving Model | Full Solution & Comparative Statics🌿

🌿Solving Linear Difference Equations (Full Exam Question)🌿

🌿Rational Expectations Model | Structural Reduced Form vs Trial Solution🌿

🌿Samuelson Multiplier–Accelerator Model with Rational Expectations | Reduced Form Dynamics🌿

🌿Statistics 1—Chapter 4: Random Variables, the Normal and Sampling Distributions (PART 3)🌿

🌿Statistics 1—Chapter 4: Random Variables, the Normal and Sampling Distributions (PART 2)🌿

🌿Statistics 1—Chapter 4: Random Variables, the Normal and Sampling Distributions (PART 1)🌿

🌿Statistics 1—Chapter 3:Probability Theory |Questions (PART 5)🌿

🌿Mathematical Induction | Discrete Mathematics | Concepts (Part 2)🌿

🌿Mathematical Induction | Discrete Mathematics | Concepts (Part1)🌿

🌿Making Math Exams Using Latex🌿