In this video, I explain Kenneth Arrow’s (1962) Learning-by-Doing model and show how it extends the standard Real Business Cycle (RBC) framework. We’ll see how productivity is no longer only driven by exogenous TFP shocks, but also by endogenous knowledge spillovers from capital accumulation. Simulation is done in Matlab-Dynare.

In this video, I walk you through a Dynamic Stochastic General Equilibrium (DSGE) model with government, extending the classic Real Business Cycle (RBC) framework. Using MATLAB and Dynare, we explore how labor and capital taxes change household incentives and how revenues are rebated as lump-sum transfers. 

In this video, we dive into the advanced modifications needed to incorporate oil into the simple RBC model using Stata. This is a continuation of our previous video where we tackled the mathematical foundations and dynamic equations. Now, you'll learn how to apply those concepts in Stata. 

This video walks through the step-by-step process of modifying the code to adjust Theta, generate impulse response functions, and create visual representations for different values of Theta (2, 1, and 0.5). Additionally, we discuss how to adjust other parameters like Kappa and Beta, encouraging viewers to experiment with various parameters to understand their impact on the model's behavior. 

In this comprehensive tutorial, we walk through calibrating the New Keynesian DSGE Model using Matlab Dynare. Starting from scratch, we define endogenous and exogenous variables, parameters, and shocks. We then write and solve the model equations, including specifying AR(1) processes for shocks.