Repository: econ-ark/HARK (language: python)

Issue:
Merge Will's added cells into expanded SSJ example
Hopefully this can be done automatically.


Discussion / hints:

Fix patch:
diff --git a/HARK/ConsumptionSaving/ConsNewKeynesianModel.py b/HARK/ConsumptionSaving/ConsNewKeynesianModel.py
index 605b26f26..fb21ad216 100644
--- a/HARK/ConsumptionSaving/ConsNewKeynesianModel.py
+++ b/HARK/ConsumptionSaving/ConsNewKeynesianModel.py
@@ -59,16 +59,16 @@
 # Default parameters to make aXtraGrid using make_assets_grid
 default_aXtraGrid_params = {
     "aXtraMin": 0.001,  # Minimum end-of-period "assets above minimum" value
-    "aXtraMax": 20,  # Maximum end-of-period "assets above minimum" value
+    "aXtraMax": 50,  # Maximum end-of-period "assets above minimum" value
     "aXtraNestFac": 3,  # Exponential nesting factor for aXtraGrid
-    "aXtraCount": 48,  # Number of points in the grid of "assets above minimum"
+    "aXtraCount": 100,  # Number of points in the grid of "assets above minimum"
     "aXtraExtra": None,  # Additional other values to add in grid (optional)
 }
 
 # Make a dictionary to specify an idiosyncratic income shocks consumer type
 init_newkeynesian = {
     # BASIC HARK PARAMETERS REQUIRED TO SOLVE THE MODEL
-    "cycles": 1,  # Finite, non-cyclic model
+    "cycles": 0,  # Infinite horizon model
     "T_cycle": 1,  # Number of periods in the cycle for this agent type
     "constructors": newkeynesian_constructor_dict,  # See dictionary above
     # PRIMITIVE RAW PARAMETERS REQUIRED TO SOLVE THE MODEL
@@ -76,7 +76,7 @@
     "Rfree": 1.03,  # Interest factor on retained assets
     "DiscFac": 0.96,  # Intertemporal discount factor
     "LivPrb": [0.98],  # Survival probability after each period
-    "PermGroFac": [1.01],  # Permanent income growth factor
+    "PermGroFac": [1.0],  # Permanent income growth factor
     "BoroCnstArt": 0.0,  # Artificial borrowing constraint
     "vFuncBool": False,  # Whether to calculate the value function during solution
     "CubicBool": False,  # Whether to use cubic spline interpolation when True
@@ -95,6 +95,11 @@
     "PerfMITShk": False,  # Do Perfect Foresight MIT Shock
     # (Forces Newborns to follow solution path of the agent they replaced if True)
     "neutral_measure": False,  # Whether to use permanent income neutral measure (see Harmenberg 2021)
+    # ADDITIONAL PARAMETERS FOR GRID-BASED TRANSITION SIMULATION
+    "mMin": 0.001,
+    "mMax": 50,
+    "mCount": 200,
+    "mFac": 3,
 }
 init_newkeynesian.update(default_IncShkDstn_params)
 init_newkeynesian.update(default_aXtraGrid_params)
diff --git a/examples/SSJ-Example/KS-HARK-presentation.ipynb b/examples/SSJ-Example/KS-HARK-presentation.ipynb
index c4a3ec361..442618d6f 100644
--- a/examples/SSJ-Example/KS-HARK-presentation.ipynb
+++ b/examples/SSJ-Example/KS-HARK-presentation.ipynb
@@ -22,7 +22,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "id": "58617d0d",
    "metadata": {},
    "outputs": [],
@@ -40,7 +40,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "50a586f7",
    "metadata": {},
    "outputs": [],
@@ -58,7 +58,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "id": "2a97701f",
    "metadata": {},
    "outputs": [],
@@ -80,7 +80,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "id": "2e8a59d1",
    "metadata": {},
    "outputs": [],
@@ -110,10 +110,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "id": "3e580acc",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " message: The solution converged.\n",
+      " success: True\n",
+      "  status: 1\n",
+      "     fun: [ 1.749e-14 -5.218e-15]\n",
+      "       x: [ 3.143e+00  8.816e-01]\n",
+      "  method: hybr\n",
+      "    nfev: 14\n",
+      "    fjac: [[-3.675e-01  9.300e-01]\n",
+      "           [-9.300e-01 -3.675e-01]]\n",
+      "       r: [ 3.906e-02  1.143e+00 -3.236e-01]\n",
+      "     qtf: [-4.533e-12 -5.621e-12]\n"
+     ]
+    }
+   ],
    "source": [
     "print(sol)"
    ]
@@ -128,7 +146,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "id": "9b15804e",
    "metadata": {},
    "outputs": [],
@@ -147,17 +165,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "id": "08aa3eeb",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.010000000000017495 0.8899999999999955 0.9999999999999948\n"
+     ]
+    }
+   ],
    "source": [
     "print(r_ss, w_ss, Y_ss)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "id": "89a3c40a",
    "metadata": {},
    "outputs": [],
@@ -213,7 +239,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "id": "2754eb05",
    "metadata": {},
    "outputs": [],
@@ -234,10 +260,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "id": "5b97b7a8",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Time taken to solve for steady state 20.58302927017212\n"
+     ]
+    }
+   ],
    "source": [
     "def A_ss_func(beta):\n",
     "    HANK_Dict[\"DiscFac\"] = beta\n",
@@ -262,7 +296,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "id": "d2dfab8c",
    "metadata": {},
    "outputs": [],
@@ -275,10 +309,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "id": "8f59e006",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "goods_clearing 0.019151809710616127\n",
+      "asset_clearing -4.168736467136114e-10\n"
+     ]
+    }
+   ],
    "source": [
     "# to make sure goods and asset markets clear\n",
     "print(\"goods_clearing\", Y_ss - C_ss - calibration[\"delta\"] * K_ss)\n",
@@ -295,10 +338,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "id": "c05c0391",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Time taken to compute jacobians 4.696365118026733\n"
+     ]
+    }
+   ],
    "source": [
     "start = time.time()\n",
     "\n",
@@ -309,10 +360,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "id": "39f4d57e",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "plt.plot(CJACW.T[0])\n",
     "plt.plot(CJACW.T[20])\n",
@@ -328,10 +390,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
    "id": "e072e75a",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Time taken to compute jacobians 4.930043697357178\n"
+     ]
+    }
+   ],
    "source": [
     "start = time.time()\n",
     "\n",
@@ -342,10 +412,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "id": "72b5f7b6",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "plt.plot(CJACR.T[0])\n",
     "plt.plot(CJACR.T[30])\n",
@@ -359,7 +440,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 18,
    "id": "03d2d6a1",
    "metadata": {},
    "outputs": [],
@@ -407,7 +488,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 19,
    "id": "87abc1e4",
    "metadata": {},
    "outputs": [],
diff --git a/examples/SSJ-Example/SSJ_example.ipynb b/examples/SSJ-Example/SSJ_example.ipynb
index 936cda72e..083cd86bc 100644
--- a/examples/SSJ-Example/SSJ_example.ipynb
+++ b/examples/SSJ-Example/SSJ_example.ipynb
@@ -11,17 +11,22 @@
     "\n",
     "\n",
     "- This notebook demonstrates how HARK and the Sequence Space Jacobian toolkit can be combined to solve HANK models.\n",
+    "    - And is heavily drawn from this [SSJ notebook](https://github.com/shade-econ/nber-workshop-2022/blob/main/Tutorials/Tutorial%201%20Fiscal%20Policy.ipynb) .\n",
     "\n",
-    "- HARK was designed to solve rich microeconomic models:\n",
+    "- HARK was designed to solve rich microeconomic models, including:\n",
     "    - Lifecycle models\n",
-    "    - Discrete continuous choice\n",
-    "    - Portfolio choice. \n",
-    "    \n",
-    "<br />\n",
+    "    - Discrete-continuous choice\n",
+    "    - Portfolio choice\n",
     "\n",
-    "- SSJ was created to solve HANK models with incredibly speed and ease\n",
+    "</br>\n",
     "\n",
-    "- Connecting HARK to SSJ allows us to solve macro models with richer micro features.\n"
+    "- SSJ was created to solve HANK models with incredible speed and ease\n",
+    "\n",
+    "- The SSJ method and toolkit (Auclert et al) is utterly fantastic and game-changing\n",
+    "\n",
+    "- Big insight: Solving the microeconomic model (in steady state) can be *independent* of working out macroeconomic dynamics\n",
+    "\n",
+    "- Connecting HARK to SSJ allows us to solve macro models with rich micro features\n"
    ]
   },
   {
@@ -32,18 +37,19 @@
     "# Model\n",
     "\n",
     "\n",
-    "To begin a basic HANK model is introduced. The model follows these lecture [SSJ slides](https://github.com/shade-econ/nber-workshop-2022/blob/main/Lectures/Lecture%204%20Fiscal%20Policy.pdf) from their heterogeneous agent workshop.\n",
+    "To begin, a basic HANK model is introduced. The model follows the [lecture slides](https://github.com/shade-econ/nber-workshop-2022/blob/main/Lectures/Lecture%204%20Fiscal%20Policy.pdf) from the SSJ authors' heterogeneous agent workshop.\n",
     "\n",
+    "## Basic model features\n",
     "\n",
-    "- Heterogenous agent households that consume/save into one asset. \n",
+    "- Heterogenous agent households that consume/save into one asset\n",
     "\n",
-    "- Households face idiosyncratic income shocks.\n",
+    "- Households face idiosyncratic income shocks\n",
     "\n",
-    "- Cobb Douglas Production function with Labor.\n",
+    "- Cobb-Douglas production function with labor and capital\n",
     "\n",
-    "- Sticky Wages\n",
+    "- Sticky wages\n",
     "\n",
-    "- Government taxes labor income, rolls over debt, to pay its expenditures.\n"
+    "- To pay its expenditures, government taxes labor income and rolls over its debt\n"
    ]
   },
   {
@@ -51,68 +57,74 @@
    "id": "f10546d3",
    "metadata": {},
    "source": [
-    "# Bringing Model to Code"
+    "# Bringing Model to Code\n",
+    "\n",
+    "To implement the model, we first need to import some basic, commonly used numeric tools (e.g. numpy and scipy), as well as an AgentType subclass from HARK. Additionally, we import the SSJ toolkit to apply as an additional layer on top of the microeconomic model."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "id": "49d75e2d",
    "metadata": {},
    "outputs": [],
    "source": [
-    "from HARK.ConsumptionSaving.ConsNewKeynesianModel import (\n",
-    "    NewKeynesianConsumerType,\n",
-    ")\n",
+    "# Basic scientific tools\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import time\n",
+    "from scipy import optimize\n",
+    "\n",
+    "# HARK agents\n",
+    "from HARK.ConsumptionSaving.ConsNewKeynesianModel import NewKeynesianConsumerType\n",
     "\n",
+    "# Sequence space Jacobian toolkit\n",
     "from sequence_jacobian.classes import JacobianDict, SteadyStateDict\n",
     "import sequence_jacobian as sj  # SSJ will allow us to define blocks, models, compute IRFs, etc"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "df3f455b",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "import matplotlib.pyplot as plt\n",
-    "import numpy as np  # '1.22.0'\n",
-    "import time\n",
-    "from scipy import optimize  # scipy version '1.10.0'"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "b676fc68",
    "metadata": {},
    "source": [
-    "### Calibrate Steady State Values"
+    "### Calibrate Steady State Values\n",
+    "\n",
+    "Next, we calibrate the steady state values of some outcomes, and calculate a few values implied by them."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "3fa9a283",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Steady state parameters\n",
+    "# Steady state calibration\n",
     "r_ss = 0.03  # Interest rate\n",
-    "G_ss = 0.2  # government spending\n",
-    "B_ss = 0.2  # government debt\n",
-    "Y_ss = 1.0  # output\n",
+    "G_ss = 0.2  # Government spending\n",
+    "B_ss = 0.2  # Government debt (bonds)\n",
+    "Y_ss = 1.0  # Output\n",
+    "\n",
+    "# Implied steady state values\n",
+    "T_ss = G_ss + r_ss * B_ss  # Lump sum taxes to keep debt constant\n",
+    "Z_ss = Y_ss - T_ss  # After tax labor income\n",
+    "F_ss = G_ss - T_ss  # Government budget deficit"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9373f1a5-7bfc-4ceb-b04b-f16110b7344a",
+   "metadata": {},
+   "source": [
+    "### Microeconomic Agent Parameters\n",
     "\n",
-    "T_ss = G_ss + r_ss * B_ss  # Lump sum taxes\n",
-    "Z_ss = Y_ss - T_ss  # after tax labor income\n",
-    "deficit_ss = G_ss - T_ss  # deficit"
+    "To make our microeconomic agents in HARK, we need a dictionary of parameters, defined below. There are additional parameters that fully specify a NewKeynesianConsumerType, but we can leave them at their default values by not specifying them."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "id": "e4a84511",
    "metadata": {
     "tags": []
@@ -120,32 +132,11 @@
    "outputs": [],
    "source": [
     "HANK_dict = {\n",
-    "    \"cycles\": 0,  # Infinite horizon problem\n",
-    "    # Parameters shared with the perfect foresight model\n",
     "    \"Rfree\": 1.0 + r_ss,  # Interest factor on assets\n",
-    "    \"LivPrb\": [0.99375],  # Survival probability\n",
-    "    # Parameters that specify the income distribution over the lifecycle\n",
-    "    \"PermShkStd\": [0.06],  # Standard deviation of log permanent shocks to income\n",
-    "    \"PermShkCount\": 5,  # Number of points in discrete approximation to permanent income shocks\n",
-    "    \"TranShkStd\": [0.2],  # Standard deviation of log transitory shocks to income\n",
-    "    \"TranShkCount\": 5,  # Number of points in discrete approximation to transitory income shocks\n",
-    "    # HANK parameters\n",
-    "    \"tax_rate\": [\n",
-    "        0.0\n",
-    "    ],  # set to 0.0 because we are going to assume that labor here is actually after tax income\n",
-    "    \"labor\": [Z_ss],\n",
-    "    \"wage\": [1.0],\n",
+    "    \"tax_rate\": [0.0],  # Assume that labor here is actually after tax income\n",
+    "    \"labor\": [Z_ss],  # Will be solving the micro model in steady state\n",
     "    \"UnempPrb\": 0.0,  # Probability of unemployment while working\n",
     "    \"IncUnemp\": 0.0,  # Unemployment benefits replacement rate\n",
-    "    # Parameters for constructing the \"assets above minimum\" grid\n",
-    "    \"aXtraMax\": 50,  # Maximum end-of-period \"assets above minimum\" value\n",
-    "    \"aXtraCount\": 100,  # Number of points in the base grid of \"assets above minimum\"\n",
-    "    \"BoroCnstArt\": 0.0,\n",
-    "    # Transition matrix simulation parameters\n",
-    "    \"mCount\": 200,\n",
-    "    \"mMax\": 50,\n",
-    "    \"mMin\": 1e-5,\n",
-    "    \"mFac\": 3,\n",
     "}"
    ]
   },
@@ -154,53 +145,72 @@
    "id": "0b97096a",
    "metadata": {},
    "source": [
-    "# Solve for Steady State"
+    "## Find Appropriate Discount Factor\n",
+    "\n",
+    "Above, we exogenously calibrated the steady state level of government debt $B_{ss}$. These bonds should be *owned* by someone, so we need our agents to want to hold the same level of assets as there are government bonds. To do so, we specify a function that yields steady state asset holdings as a function of agents' discount factor $\\beta$, and another function that simply differences it with our target level of assets. The appropriate discount factor can then be found by performing a bounded search for a root of the difference function."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "id": "ac7ec69c",
    "metadata": {},
    "outputs": [],
    "source": [
-    "def ss_func(beta):\n",
-    "    HANK_dict[\"DiscFac\"] = beta\n",
-    "    TempAgent = NewKeynesianConsumerType(**HANK_dict, verbose=False)\n",
-    "    A_ss = TempAgent.compute_steady_state()[0]\n",
+    "# Define a function that computes steady state aggregate assets as a function of the discount factor\n",
+    "def calc_SS_assets_from_discfac(beta):\n",
+    "    HANK_dict[\"DiscFac\"] = beta  # set the proposed discount factor\n",
+    "    TempAgent = NewKeynesianConsumerType(\n",
+    "        **HANK_dict, verbose=False\n",
+    "    )  # make an AgentType instance\n",
+    "    A_ss = TempAgent.compute_steady_state()[0]  # compute steady state assets\n",
     "    return A_ss\n",
     "\n",
     "\n",
-    "def ss_dif(beta):\n",
-    "    return ss_func(beta) - Asset_target\n",
+    "# Define a simple function that differences steady state assets from target assets\n",
+    "def calc_asset_gap(beta):\n",
+    "    return calc_SS_assets_from_discfac(beta) - A_target\n",
     "\n",
     "\n",
-    "Asset_target = B_ss\n",
-    "DiscFac = optimize.brentq(ss_dif, 0.85, 0.99)"
+    "# Find the discount factor that makes steady state assets equal (calibrated) steady state government bonds\n",
+    "A_target = B_ss\n",
+    "DiscFac_star = optimize.brentq(calc_asset_gap, 0.85, 0.99)"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "dc28006a",
+   "cell_type": "markdown",
+   "id": "e2afbf98-bd36-4b98-a4a5-084b1bcff766",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "# Create a HARK agent\n",
-    "HANK_dict[\"DiscFac\"] = DiscFac\n",
-    "Agent_GE = NewKeynesianConsumerType(**HANK_dict, verbose=False)\n",
-    "A_ss, C_ss = Agent_GE.compute_steady_state()"
+    "## Make Agents with Calibrated Discount Factor\n",
+    "\n",
+    "Now that we know what the discount factor should be, we can make an AgentType instance that will be used for the general equilibrium analysis. To do so, we simply put $\\beta^*$ into our parameter dictionary and make a new instance of NewKeynesianConsumerType using it. To verify that we did what we set out to do, we can check that the output goods market clears (output is accounted for by consumption and government spending) and that the asset market clears (retained assets are accounted for by government bonds). Both conditions should be very close to zero."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "f4fadaab",
+   "execution_count": 5,
+   "id": "dc28006a",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Goods clearing condition: 1.3156142841808105e-14\n",
+      "Asset clearing condition: -3.6684544291176735e-13\n"
+     ]
+    }
+   ],
    "source": [
-    "print(\"goods_clearing\", Y_ss - C_ss - G_ss)\n",
-    "print(\"asset_clearing\", A_ss - B_ss)"
+    "# Create a HARK agent\n",
+    "HANK_dict[\"DiscFac\"] = DiscFac_star\n",
+    "Agent_GE = NewKeynesianConsumerType(**HANK_dict, verbose=False)\n",
+    "A_ss, C_ss = Agent_GE.compute_steady_state()\n",
+    "\n",
+    "# Verify market clearing conditions\n",
+    "print(\"Goods clearing condition:\", Y_ss - C_ss - G_ss)\n",
+    "print(\"Asset clearing condition:\", A_ss - B_ss)"
    ]
   },
   {
@@ -208,51 +218,123 @@
    "id": "f7336168",
    "metadata": {},
    "source": [
-    "## Compute Jacobians"
+    "## Compute Jacobian Matrices\n",
+    "\n",
+    "A deep insight that has recently made a large impact for our ability to handle heterogeneous agents models with rich microeconomic heterogeneity is that the macroeconomy can be well approximated by linearization, which makes it possible to calculate the dynamics of the model with response to perfect foresight ``MIT shocks'', as opposed to needing to develop more complicated functions. The key to this is to compute the response of the microeconomic model to small future disturbances-- the Jacobian matrix.\n",
+    "\n",
+    "HARK has a tool for calculating the Jacobian matrices that characterize consumption and asset responses to an exogenous *transitory* change in the interest factor (Rfree) or labor income (labor) that will occur in the future. This is accomplished with the calc_jacobian method, passing as arguments the name of the parameter that will be changed and the maximum number of periods in the future that a (marginal) change could occur.\n",
+    "\n",
+    "The outputs of this method are objects that represent the sensitivity of aggregate consumption and asset holdings (respectively) in each period to the *advance knowledge* of an exogenous change in each parameter."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "id": "ea09fc75",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Time to compute Jacobians: 9.221 seconds.\n"
+     ]
+    }
+   ],
    "source": [
     "start = time.time()\n",
     "\n",
-    "CJACR, AJACR = Agent_GE.calc_jacobian(\"Rfree\", 300)\n",
-    "CJACZ, AJACZ = Agent_GE.calc_jacobian(\"labor\", 300)\n",
+    "# Derivatives of consumption and assets wrt R\n",
+    "dCdR, dAdR = Agent_GE.calc_jacobian(\n",
+    "    \"Rfree\", 300\n",
+    ")  # Jacobians of consumption and assets w.r.t. interest factor changes up to 300 periods ahead\n",
+    "\n",
+    "# Derivatives with respect to after-tax labor income\n",
+    "dCdZ, dAdZ = Agent_GE.calc_jacobian(\n",
+    "    \"labor\", 300\n",
+    ")  # Jacobians of consumption and assets w.r.t. labor supply changes up to 300 periods ahead\n",
     "\n",
-    "print(\"Time taken to compute jacobians\", time.time() - start)"
+    "print(\"Time to compute Jacobians: {:.3f} seconds.\".format(time.time() - start))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8461c6e2-31bb-483b-93ba-6444db38ebc5",
+   "metadata": {},
+   "source": [
+    "## Plot Jacobians\n",
+    "\n",
+    "To inspect the Jacobian matrix for aggregate consumption, we can plot some of its rows/columns, representing the consumption response to a change in the interest factor or labor income $T$ periods in the future."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "id": "ce169ef9",
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "plt.plot(CJACR.T[0])\n",
-    "plt.plot(CJACR.T[30])\n",
-    "plt.plot(CJACR.T[50])\n",
-    "plt.xlim(-2, 100)\n",
-    "plt.title(\"Consumption Jacobians wrt Interest rate\")\n",
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(dCdR.T[0])\n",
+    "plt.plot(dCdR.T[30])\n",
+    "plt.plot(dCdR.T[50])\n",
+    "plt.legend(\n",
+    "    [\n",
+    "        r\"Change in $R$ right now\",\n",
+    "        r\"Change in $R$ 30 periods ahead\",\n",
+    "        r\"Change in $R$ 50 periods ahead\",\n",
+    "    ]\n",
+    ")\n",
+    "plt.xlim(-2, 120)\n",
+    "plt.title(\"Consumption Response to Change in Interest Factor\")\n",
+    "plt.xlabel(\"Time\")\n",
+    "plt.yticks([])\n",
     "plt.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "id": "6eff21bb",
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "plt.plot(CJACZ.T[0])\n",
-    "plt.plot(CJACZ.T[20])\n",
-    "plt.plot(CJACZ.T[50])\n",
-    "plt.xlim(-2, 100)\n",
-    "plt.title(\"Consumption Jacobians wrt Income\")\n",
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(dCdZ.T[0])\n",
+    "plt.plot(dCdZ.T[20])\n",
+    "plt.plot(dCdZ.T[50])\n",
+    "plt.xlim(-2, 120)\n",
+    "plt.legend(\n",
+    "    [\n",
+    "        r\"Change in $Z$ right now\",\n",
+    "        r\"Change in $Z$ 30 periods ahead\",\n",
+    "        r\"Change in $Z$ 50 periods ahead\",\n",
+    "    ]\n",
+    ")\n",
+    "plt.xlim(-2, 120)\n",
+    "plt.title(\"Consumption Response to Change in Labor Income\")\n",
+    "plt.xlabel(\"Time\")\n",
+    "plt.yticks([])\n",
     "plt.show()"
    ]
   },
@@ -261,12 +343,16 @@
    "id": "fe6feb98",
    "metadata": {},
    "source": [
-    "# Specify Government Budget Constraint and Market Clearing Conditions"
+    "# Government Budget Constraint and Market Clearing\n",
+    "\n",
+    "We now need to specify the other blocks of this Fiscal HANK model. The details of the model found [here](https://github.com/shade-econ/nber-workshop-2022/blob/main/Lectures/Lecture%204%20Fiscal%20Policy.pdf) tell us that only the governemnt budget constraint and the market clearing conditions need to be specified explicitly to capture the dynamics of the HANK model.\n",
+    "\n",
+    "The sequence space toolkit allows us to specify other blocks of the economy in a DYNARE-esque fashion as we simply need to write down the difference equations that define our model."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "id": "b35ed9e0",
    "metadata": {},
    "outputs": [],
@@ -283,32 +369,34 @@
     "# Market Clearing Conditions\n",
     "@sj.simple\n",
     "def mkt_clearing(A, B, Y, C, G):\n",
-    "    asset_mkt = A - B\n",
-    "    goods_mkt = Y - C - G\n",
+    "    asset_mkt = A - B  # asset market clearing\n",
+    "    goods_mkt = Y - C - G  # goods market clearing\n",
     "    return asset_mkt, goods_mkt"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "id": "f5710651",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Store Jacobians in JacobianDict Object\n",
-    "Jacobian_dict = JacobianDict({\"C\": {\"Z\": CJACZ}, \"A\": {\"Z\": AJACZ}})"
+    "# Store Jacobians in JacobianDict Object.\n",
+    "# This will capture behavior of heterogeneous hosueholds.\n",
+    "het_household_block = JacobianDict({\"C\": {\"Z\": dCdZ}, \"A\": {\"Z\": dAdZ}})"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "id": "ffe65da0-7cea-4d60-9afe-f89adae896f8",
    "metadata": {
     "tags": []
    },
    "outputs": [],
    "source": [
-    "# Construct SteadyStateDict object\n",
+    "# SteadyStateDict:\n",
+    "# - Steady state values of each variable; we perturb around this steady state.\n",
     "SteadyState_dict = SteadyStateDict(\n",
     "    {\n",
     "        \"asset_mkt\": 0.0,\n",
@@ -328,37 +416,46 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "id": "dbce1742",
    "metadata": {},
    "outputs": [],
    "source": [
+    "# Create the model by combining three blocks:\n",
+    "# (1) microeconomic responses to macroeconomic news (Jacobians)\n",
+    "# (2) fiscal authority behavior\n",
+    "# (3) market clearing conditions\n",
+    "HANK = sj.create_model([het_household_block, fiscal, mkt_clearing], name=\"HA Model\")\n",
+    "\n",
+    "# Choose aggregate shock parameters for the simulation\n",
     "T = 300  # <-- the length of the IRF\n",
     "rho_G = 0.8  # peristence of shock\n",
     "dG = 0.01 * rho_G ** np.arange(T)\n",
     "shocks = {\"G\": dG}\n",
     "\n",
-    "unknowns_td = [\"Y\"]\n",
-    "targets_td = [\"asset_mkt\"]\n",
+    "# Obtain impulse responses\n",
+    "unknowns_td = [\"Y\"]  # unknowns to solve for to clear target condition below\n",
+    "targets_td = [\"asset_mkt\"]  #\n",
     "\n",
-    "# Create model\n",
-    "ha_lin = sj.create_model([Jacobian_dict, fiscal, mkt_clearing], name=\"HA Model\")\n",
-    "\n",
-    "# obtain impulse responses\n",
-    "irfs_G_lin = ha_lin.solve_impulse_linear(\n",
+    "# Solve for impulse responses to gov. spending shock (balanced budget)\n",
+    "irfs_G_lin = HANK.solve_impulse_linear(\n",
     "    SteadyState_dict, unknowns_td, targets_td, shocks\n",
     ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "id": "93a0c5fc",
    "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
     "tags": []
    },
    "outputs": [],
    "source": [
+    "# Define a function that can plot impulse response functions\n",
     "def show_irfs(\n",
     "    irfs_list,\n",
     "    variables,\n",
@@ -388,17 +485,31 @@
    "id": "523314a5",
    "metadata": {},
    "source": [
-    "## Government Spending Shock (Balanced Budget)"
+    "## Government Spending Shock (Balanced Budget)\n",
+    "\n",
+    "The plot belows illustrate the impulse responses to a government spending shock that is completely funded by increases in taxes. \n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "id": "d287b37c",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
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+      "text/plain": [
+       "<Figure size 1800x600 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "show_irfs([irfs_G_lin], [\"G\", \"Y\", \"T\"])"
+    "# Plot the Impulse Response Functi\n",
+    "show_irfs([irfs_G_lin], [\"G\", \"Y\", \"T\"], labels=[\"balanced budget\"])"
    ]
   },
   {
@@ -406,100 +517,393 @@
    "id": "d6b166b2",
    "metadata": {},
    "source": [
-    "## Government Spending shock (deficit financed)"
+    "## Government spending shock (deficit financed)\n",
+    "\n",
+    "Now let us produce the responses to a government spending shock when it is mostly deficit financed. \n",
+    "\n",
+    "To do so, we will shock government debt such that the cumulative sum of debt shock is equal to the cumulative sum of the increase in government spending."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
    "id": "603c9385",
    "metadata": {},
    "outputs": [],
    "source": [
-    "rho_B = 0.9\n",
+    "# Define a 'fiscal rule' to this government spending shock\n",
+    "# by specifying a shock to debt that will finance the gov. spending shock\n",
+    "rho_B = 0.9  # how fast to move back toward fiscal target\n",
     "dB = np.cumsum(dG) * rho_B ** np.arange(T)\n",
-    "shocks_B = {\"G\": dG, \"B\": dB}\n",
+    "shocks_B = {\"G\": dG, \"B\": dB}  # we will be shocking both government spending and debt\n",
     "\n",
-    "irfs_B_lin = ha_lin.solve_impulse_linear(\n",
+    "# Solve for impulse responses\n",
+    "irfs_B_lin = HANK.solve_impulse_linear(\n",
     "    SteadyState_dict, unknowns_td, targets_td, shocks_B\n",
     ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "id": "332b34b6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1800x600 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Show government spending, output, and taxes\n",
+    "show_irfs(\n",
+    "    [irfs_G_lin, irfs_B_lin],\n",
+    "    [\"G\", \"Y\", \"T\"],\n",
+    "    labels=[\"balanced budget\", \"deficit financed\"],\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "b0560df9-6428-4a31-921b-8637ef57107e",
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1800x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Show the deficit and consumption\n",
     "show_irfs(\n",
     "    [irfs_G_lin, irfs_B_lin],\n",
-    "    [\"G\", \"Y\", \"T\", \"deficit\", \"goods_mkt\"],\n",
+    "    [\"deficit\", \"C\"],\n",
     "    labels=[\"balanced budget\", \"deficit financed\"],\n",
     ")"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "e5030fdc",
+   "id": "a06333f4-f3e6-4af7-923d-a1d211967aa3",
+   "metadata": {},
+   "source": [
+    "# Why does HANK matter?\n",
+    "\n",
+    "Let us compare deficit financed government spending responses in HANK vs TANK vs RANK.\n",
+    "\n",
+    "To do so, a representative agent and a two agent household block will be specified to produce a RANK and TANK model. \n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0f74e008-a96e-4b5f-8e8f-5b518ef4948b",
    "metadata": {},
    "source": [
-    "## Nonlinear Impulse Responses"
+    "## Specify a representative agent household\n",
+    "\n",
+    "Since the representative agent household solution can be expressed analytically, below the difference equations (euler equation and budget constraint) that define the representative agent problem are specified. "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "9f7d1534",
+   "execution_count": 18,
+   "id": "d6743a5c-797d-4ba6-b6ba-ba6a4bf471a7",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# NOTE: These cells have been commented out because they rely on files that are not present in the HARK repo.\n",
+    "@sj.solved(\n",
+    "    unknowns={\"C\": 1, \"A\": 1}, targets=[\"euler\", \"budget_constraint\"]\n",
+    ")  # solver=\"broyden_custom\")\n",
+    "def hh_ra(C, A, Z, eis, beta, r):\n",
+    "    euler = (beta * (1 + r(+1))) ** (-eis) * C(+1) - C  # RA euler equation\n",
+    "    budget_constraint = (1 + r) * A(-1) + Z - C - A  # RA budget constraint\n",
+    "    MPC = 0\n",
+    "    return euler, budget_constraint, MPC\n",
+    "\n",
     "\n",
-    "# def hh(Z):\n",
-    "#    C,A = Agent_GE.calc_agg_path(Z,300)\n",
-    "#    return C,A"
+    "# create RANK model where heterogeneous household block is replaced with representative agent block 'hh_ra'\n",
+    "RANK = sj.create_model([hh_ra, fiscal, mkt_clearing], name=\"Representative agent model\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b238e64e-4a22-41c1-ac27-9034687f1854",
+   "metadata": {},
+   "source": [
+    "## Specify a two agent economy (Campbell-Mankiw)\n",
+    "\n",
+    "Similar to the rep. agent problem, the difference equations (euler equation and budget constraint) that define the two agent problem are specified. "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "29783be3",
+   "execution_count": 19,
+   "id": "91f14ad6-9b3a-45a1-ab1a-e2d9fe989240",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# from Misc_Utilities.simple_block import exog # import wrapper so SSJ can identify HARK household object\n",
+    "# Deep in SSJ weeds, we need this object:\n",
+    "@sj.solved(\n",
+    "    unknowns={\"C_RA\": 1, \"A\": 1}, targets=[\"euler\", \"budget_constraint\"]\n",
+    ")  # , solver=\"broyden_custom\")\n",
+    "\n",
+    "#\n",
+    "def hh_ta(C_RA, A, Z, eis, beta, r, lam):\n",
+    "    # consumption of infinitely lived household\n",
+    "    euler = (beta * (1 + r(+1))) ** (-eis) * C_RA(+1) - C_RA\n",
+    "    # hand to mouth agent consumes income Z\n",
+    "    C_H2M = Z\n",
+    "    # aggregate C is weighted sum of C of two types\n",
+    "    C = (1 - lam) * C_RA + lam * C_H2M  # lam is frac of hand to mouth households\n",
+    "    # aggregate budget constraint\n",
+    "    budget_constraint = (1 + r) * A(-1) + Z - C - A\n",
+    "    MPC = 0\n",
+    "    return euler, budget_constraint, C_H2M, C, MPC\n",
     "\n",
-    "# hh_block = exog(Jacobian_dict,hh,hh)\n",
-    "# hh_block.name = hh\n",
     "\n",
-    "# ha = sj.create_model([hh_block,fiscal,mkt_clearing], name=\"HA Model\")\n",
-    "# irfs_G_nonlin = ha.solve_impulse_nonlinear(SteadyState_dict, unknowns_td, targets_td, shocks)\n"
+    "# create TANK model where heterogeneous household is replaced with 'hh_ta'\n",
+    "TANK = sj.create_model([hh_ta, fiscal, mkt_clearing], name=\"Two agent model\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ceac82e9-de7c-4bc6-865b-acb6470cd2e2",
+   "metadata": {},
+   "source": [
+    "## Calibrate and find steady states of TANK and RANK models.\n",
+    "\n",
+    "Now that we have defined the representative agent and two agent models, we need to solve for a steady state in each model for which we will perturb around later to solve for dynamics."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "a327b50f",
+   "execution_count": 20,
+   "id": "79c5ab27-ab2e-442c-812b-383df409bfdc",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# plt.plot(irfs_G_nonlin['Y'], label ='nonlinear')\n",
-    "# plt.plot(irfs_G_lin['Y'], label = 'linear', linestyle='--')\n",
-    "# plt.xlim(-1,50)\n",
-    "# plt.legend()\n",
-    "# plt.title('Nonlinear Impulse responses of output')\n",
-    "# plt.show()"
+    "# base dictionary for calibrating representative agent and two agent household.\n",
+    "calibration = {\n",
+    "    \"eis\": 0.5,  # EIS\n",
+    "    \"G\": G_ss,  # Government spending\n",
+    "    \"B\": B_ss,  # Government debt\n",
+    "    \"Y\": Y_ss,  # Output\n",
+    "    \"r\": r_ss,\n",
+    "}  # Number of productivity grid points"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "ad591df6-2229-4a26-bbf3-1cc5328048d4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Rep Agent calibration\n",
+    "calibration_ra = calibration.copy()\n",
+    "calibration_ra[\"beta\"] = 1 / (1 + calibration_ra[\"r\"])  # for steady state consumption\n",
+    "calibration_ra[\"B\"] = calibration[\"B\"]\n",
+    "\n",
+    "unknowns_ra_ss = {\n",
+    "    \"C\": 1.0,\n",
+    "    \"A\": 0.8,\n",
+    "}  # solve for two unknowns to clear the targets below\n",
+    "targets_ra_ss = {\"budget_constraint\": 0.0, \"asset_mkt\": 0.0}\n",
+    "\n",
+    "# solve for steady state for RANK model\n",
+    "ss_RANK = RANK.solve_steady_state(\n",
+    "    calibration_ra, unknowns_ra_ss, targets_ra_ss, dissolve=[\"hh_ra\"]\n",
+    ")  # solve steady state for RANK model"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "558d31cc",
+   "execution_count": 22,
+   "id": "51819b72-9ba9-4a36-b240-72745a1c2579",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# show_irfs([irfs_G_lin,irfs_G_nonlin], ['G', 'Y','T'], ['Linear', 'Nonlinear'])"
+    "# Two Agent calibration\n",
+    "calibration_ta = calibration_ra.copy()  # dictionary for two agent block\n",
+    "calibration_ta[\"lam\"] = 0.25  # proportion of hand to mouth\n",
+    "unknowns_ta_ss = {\n",
+    "    \"C_RA\": 1.0,\n",
+    "    \"A\": 0.8,\n",
+    "}  # solve for two unknowns to clear the targets below\n",
+    "\n",
+    "# solve for steady state for TANK model\n",
+    "ss_TANK = TANK.solve_steady_state(\n",
+    "    calibration_ta, unknowns_ta_ss, targets_ra_ss, dissolve=[\"hh_ta\"]\n",
+    ")  # solve steady state for TANK model"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3eb1f5d6-543d-4591-b4d9-7b4adef4e39c",
+   "metadata": {},
+   "source": [
+    "## Impulse responses to deficit financed G shocks: HANK vs TANK vs RANK"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "7238b86f-2033-40a6-a9f9-9fa31a4c02a1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1800x600 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "irfs_RANK = RANK.solve_impulse_linear(\n",
+    "    ss_RANK, unknowns_td, targets_td, shocks_B\n",
+    ")  # solve for impulse responses in RANK model\n",
+    "irfs_TANK = TANK.solve_impulse_linear(\n",
+    "    ss_TANK, unknowns_td, targets_td, shocks_B\n",
+    ")  # solve for impulse responses in TANK model\n",
+    "\n",
+    "# Plot irfs of HANK, RANK, and TANK\n",
+    "show_irfs(\n",
+    "    [irfs_B_lin, irfs_RANK, irfs_TANK],\n",
+    "    variables=[\"deficit\", \"Y\", \"C\"],\n",
+    "    labels=[\"HANK\", \"RANK\", \"TANK\"],\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "147be7ca-01e9-4401-98b2-1a3747813ac5",
+   "metadata": {},
+   "source": [
+    "# Simulating time series"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e7168496-cd84-4627-9c44-3374adb5909d",
+   "metadata": {},
+   "source": [
+    "## Simulate the economy subject to deficit financed government spending shocks."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "b5c0769c-7cd4-4050-9a8e-8e303f5e80de",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from estimation.routines import simulate\n",
+    "\n",
+    "outputs = [\"Y\", \"C\", \"deficit\", \"G\"]  # aggregate variables to be simulated\n",
+    "\n",
+    "impulses_ha = {}\n",
+    "impulses_ra = {}\n",
+    "impulses_ta = {}\n",
+    "\n",
+    "shk_std = 0.001  # standard deviation of shock\n",
+    "rho_G = 0.8  # persistence of G shock\n",
+    "rho_B = 0.9  # persistence of Deficit shock\n",
+    "\n",
+    "dG = shk_std * 0.8 ** np.arange(T)  # G Shock series\n",
+    "dB = np.cumsum(dG) * rho_B ** np.arange(T)  # deficit shock series (fiscal rule)\n",
+    "\n",
+    "# own_shock captures AR shock process to deficit financed G spending\n",
+    "own_shock = {\"G\": shk_std * rho_G ** np.arange(T), \"B\": dB}\n",
+    "impulses_ha[\"ha\"] = HANK.solve_impulse_linear(\n",
+    "    SteadyState_dict, unknowns_td, targets_td, own_shock\n",
+    ")  # solve impulse responses to HANK\n",
+    "impulses_ta[\"ta\"] = TANK.solve_impulse_linear(\n",
+    "    ss_TANK, unknowns_td, targets_td, own_shock\n",
+    ")  # solve impulse responses to TANK\n",
+    "impulses_ra[\"ra\"] = RANK.solve_impulse_linear(\n",
+    "    ss_RANK, unknowns_td, targets_td, own_shock\n",
+    ")  # solve impulse responses to RANK\n",
+    "\n",
+    "T_sim = 80  # simulate for 80 quarters\n",
+    "data_simul_ha = simulate(\n",
+    "    list(impulses_ha.values()), outputs, T_sim\n",
+    ")  # Simulate aggregate variables in 'outputs' in HANK\n",
+    "data_simul_ta = simulate(\n",
+    "    list(impulses_ta.values()), outputs, T_sim\n",
+    ")  # Simulate aggregate variables in 'outputs' in TANK\n",
+    "data_simul_ra = simulate(\n",
+    "    list(impulses_ra.values()), outputs, T_sim\n",
+    ")  # Simulate aggregate variables in 'outputs' in RANK"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e2a9f3f3-d75b-41dd-a2cf-56466a4d7d22",
+   "metadata": {},
+   "source": [
+    "# Comparing time series of HANK, TANK, and RANK"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "e3d57079-04c4-4567-80a0-10ac88c006ed",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1300x500 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, axes = plt.subplots(nrows=1, ncols=3, figsize=(13, 5))\n",
+    "axes[0].plot(data_simul_ha[\"Y\"])\n",
+    "axes[0].plot(data_simul_ta[\"Y\"])\n",
+    "axes[0].plot(data_simul_ra[\"Y\"])\n",
+    "axes[0].set_title(\"Output\")\n",
+    "axes[0].set_xlabel(\"Quarters\")\n",
+    "axes[1].plot(data_simul_ha[\"G\"])\n",
+    "axes[1].plot(data_simul_ta[\"G\"])\n",
+    "axes[1].plot(data_simul_ra[\"G\"])\n",
+    "axes[1].set_title(\"Government Spending\")\n",
+    "axes[1].set_xlabel(\"Quarters\")\n",
+    "axes[2].plot(data_simul_ha[\"deficit\"])\n",
+    "axes[2].plot(data_simul_ta[\"deficit\"])\n",
+    "axes[2].plot(data_simul_ra[\"deficit\"])\n",
+    "axes[2].set_title(\"Deficit\")\n",
+    "axes[2].set_xlabel(\"Quarters\")\n",
+    "fig.tight_layout()"
    ]
   }
  ],
diff --git a/examples/SSJ-Example/SSJ_explanation.ipynb b/examples/SSJ-Example/SSJ_explanation.ipynb
index 369bfffe8..4babde2c8 100644
--- a/examples/SSJ-Example/SSJ_explanation.ipynb
+++ b/examples/SSJ-Example/SSJ_explanation.ipynb
@@ -13,19 +13,13 @@
    "id": "d54e4a66",
    "metadata": {},
    "source": [
-    "- The sequence space jacobian method is a computational method to solve general equilibrium models (with both rich micro heterogeneity and without)\n",
-    "\n",
-    "\n",
+    "- The sequence space jacobian method (SSJ) is a computational method to solve general equilibrium models, both with and without rich micro heterogeneity\n",
     "\n",
     "- Method linearizes the model to first order to solve for solutions to small MIT shocks.\n",
     "\n",
+    "- The algorithm assumes that agents have perfect foresight on macro aggregates (i.e. model is deterministic with respect to aggregate states).\n",
     "\n",
-    "- The algorithm assumes that agents have perfect foresight on macro aggregates (i.e. Model is deterministic with respect to aggregate states).\n",
-    "\n",
-    "\n",
-    "- Method allows for the fast computation of jacobian matrices that summarize the aggregate behavior of agents with rich micro heterogeneity (Heterogenous households, firms, etc.)\n",
-    "\n",
-    "\n"
+    "- Method allows for the fast computation of Jacobian matrices that summarize the aggregate behavior of agents with rich micro heterogeneity (heterogenous households, firms, etc.)"
    ]
   },
   {
@@ -37,8 +31,7 @@
     "\n",
     "Can solve general equilibrium models with rich microeconomic heterogeneity quickly. (Basic HANK models can take 3 seconds, previous methods take at least 15 minutes)\n",
     "\n",
-    "Can add additional exogenous shocks at virtually no cost.\n",
-    "\n"
+    "Can add additional exogenous shocks at virtually no cost."
    ]
   },
   {
@@ -67,45 +60,36 @@
    "id": "2e0864c0",
    "metadata": {},
    "source": [
+    "#### Household's Problem\n",
     "\n",
+    "Households seek to maximize their expected discounted sum of lifetime utility of consumption. Variables that are idiosyncratic to a household have an $i$ subscript, while aggregate variables do not.\n",
     "\n",
     "$$\n",
-    "V_{t}(m_{t}) = \\max_{c_{t}} u(c_{t}) + E_{t}\\left[ V_{t+1}(m_{t+1}) \\right]\n",
+    "V_{t}(m_{it}) = \\max_{c_{it}} u(c_{it}) + E_{t}\\left[ V_{t+1}(m_{it+1}) \\right] \\text{ s.t.}\n",
     "$$\n",
     "\n",
-    "#### Budget Constraint\n",
+    "$$ m_{it} = y_{it} + (1+\\mathit{r}_{t})k_{it-1},$$\n",
     "\n",
-    "$$ m_{ t} = z_{t}  + (1+\\mathit{r}_{t})k_{ t-1}$$\n",
+    "$$ c_{it} + k_{it}= m_{it},$$ \n",
     "\n",
-    "$$ c_{ t}  + k_{t}= z_{ t}  + (1+\\mathit{r}_{t}) k_{ t-1}  $$ \n",
-    "\n",
-    "$$k_{t} \\geq 0$$\n",
+    "$$k_{it} \\geq 0,$$\n",
     "\n",
     "where \n",
     "\n",
-    "$m_{t}$ is cash on hand.\n",
+    "$m_{it}$ is cash on hand,\n",
     "\n",
-    "$k_{t}$ value capital holdings.\n",
+    "$k_{it}$ is capital holdings,\n",
     "\n",
-    "$z_{t}$ is labor income.\n",
+    "$y_{it}$ is labor income.\n",
     "\n",
     "\n",
     "#### Labor Income\n",
     "\n",
-    "Labor income is composed of permanent component $\\mathit{p}$ and transitory component $\\theta$. \n",
-    "\n",
-    "\n",
-    "$$z_{t} =  \\theta_{it} w_{t} \\bar{L}$$\n",
-    "\n",
-    "\n",
-    "\n",
+    "Labor income is the product of an idiosyncratic transitory shock $\\theta$, the wage rate $w$ (determined in aggregate), and the exogenously fixed individual labor supply $\\ell$. \n",
     "\n",
+    "$$y_{t} = \\theta_{it} w_{t} \\ell,$$\n",
     "\n",
-    "\n",
-    "$ log(\\theta_{it}) \\sim N\\left(-\\frac{\\sigma_{\\theta}^2}{2}, \\sigma_{\\theta}^2 \\right)$ \n",
-    "\n",
-    "\n",
-    "\n"
+    "$$log(\\theta_{it}) \\sim N\\left(-\\frac{\\sigma_{\\theta}^2}{2}, \\sigma_{\\theta}^2 \\right).$$"
    ]
   },
   {
@@ -113,22 +97,31 @@
    "id": "405ddb01",
    "metadata": {},
    "source": [
-    "## Firms\n",
+    "## Firms and Production\n",
+    "\n",
+    "Output is produced by firms via a Cobb-Douglas production function over aggregate capital $K_t$ and labor $L_t$, scaled by total factor productivity $Z_t$:\n",
+    "\n",
+    "$$Y_{t} = Z_{t}K_{t}^{\\alpha}L_{t}^{1-\\alpha}.$$\n",
     "\n",
-    "$$Y_{t} = Z_{t}K_{t}^{\\alpha}L_{t}^{1-\\alpha}$$\n",
+    "### Determination of Wage and Interest Rates\n",
     "\n",
-    "### F.O.C.\n",
+    "Assume perfectly competitive markets, so that the factor prices are given by their marginal product:\n",
     "\n",
     "$$\n",
-    "w_{t} = (1-\\alpha) Z_{t} K_{t}^{\\alpha}L_{t}^{-\\alpha}\n",
+    "w_{t} = (1-\\alpha) Z_{t} K_{t}^{\\alpha}L_{t}^{-\\alpha},\n",
     "$$\n",
     "\n",
     "$$\n",
-    "r_{t} = \\alpha  Z_{t} K_{t}^{\\alpha - 1} L_{t}^{1-\\alpha}\n",
+    "r_{t} = \\alpha  Z_{t} K_{t}^{\\alpha - 1} L_{t}^{1-\\alpha}.\n",
     "$$\n",
     "\n",
-    "where $log(Z_{t}) = \\rho_{Z} log( Z_{t-1}) + \\epsilon_{Z}$\n",
-    "\n"
+    "### Dynamics of Productivity\n",
+    "\n",
+    "TFP $Z_t$ follows an AR(1) process in logs, with correlation factor $\\rho_Z$ and standard deviation of shocks $\\sigma_Z$.\n",
+    "\n",
+    "$$log(Z_{t}) = \\rho_{Z} \\log( Z_{t-1}) + \\epsilon_{t},$$\n",
+    "\n",
+    "$$\\epsilon_t \\sim N(0, \\sigma_Z^2).$$"
    ]
   },
   {
@@ -138,17 +131,15 @@
    "source": [
     "## Market Clearing \n",
     "\n",
+    "Aggregate capital and labor are found by aggregating idiosyncratic values over the population. For labor, this is trivial, as each household exogenously supplies $\\ell$ units of labor. To denote the switch to aggregate labor, apply a new label:\n",
     "\n",
-    "$$ K_{t} = \\mathcal{K}_{t}\\left(\\left\\{r_{s},w_{s}\\right\\}_{s=0}^{T} \\right)$$\n",
-    "\n",
-    "\n",
+    "$$L_{t} = \\int_0^1 \\ell di = \\ell \\equiv \\bar{L}.$$\n",
     "\n",
-    "$$L_{t} = \\bar{L}$$\n",
+    "Each household's choice of capital holdings $k_{it}$ depends on the entire future sequence of factor prices they will face. Denote that sequence as $\\left\\{r_{s},w_{s}\\right\\}_{s=0}^{T}$, and the *savings function* in period $t$ as $\\mathsf{k}_t(m_{it}, \\cdot)$, which depends on current market resources and future prices. Then define aggregate capital as:\n",
     "\n",
+    "$$K_{t} = \\int_{0}^{1} k_{it} di = \\int_{0}^{1} \\mathsf{k}_{t}(m_{it}, \\left\\{r_{s},w_{s}\\right\\}_{s=0}^{T}) di \\equiv \\mathcal{K}_{t}\\left(\\left\\{r_{s},w_{s}\\right\\}_{s=0}^{T} \\right).$$\n",
     "\n",
-    "\n",
-    "\n",
-    "where $$\\mathcal{K}_{t}\\left(\\left\\{r_{s},w_{s}\\right\\}_{s=0}^{T} \\right) = \\int_{0}^{1} k_{it}(\\left\\{r_{s},w_{s}\\right\\}_{s=0}^{T}) di = \\int k_{t}(m, \\left\\{r_{s},w_{s}\\right\\}_{s=0}^{T}) d\\Phi(m)$$"
+    "Notice that aggregate capital $K_t$ depends on the entire distribution of idiosyncratic market resources $m_{it}$."
    ]
   },
   {
@@ -156,7 +147,7 @@
    "id": "12cc8957",
    "metadata": {},
    "source": [
-    "# Define model as a system of difference equations in sequence space"
+    "# The model as a system of difference equations in sequence space"
    ]
   },
   {
@@ -164,31 +155,29 @@
    "id": "01ee68b8",
    "metadata": {},
    "source": [
+    "The equilibrium of this model can be expressed as a root of a system of difference equations on the sequence of current and future prices and productivity shocks. For notational convenience, the sequence of aggregate outcomes will be represented by $\\textbf{U}$, and the sequence of productivity shocks by $\\textbf{Z}$. For period $t$, the equilibrium conditions are:\n",
+    "\n",
     "$$ H_{t}(\\mathbf{U},\\mathbf{Z}) = \\begin{pmatrix} \n",
-    " \\mathcal{K}_{t}(\\{r_{s} ,w_{s} \\}_{s=0}^{s=T}) - K_{t}  \\\\ \\\\\n",
+    " \\mathcal{K}_{t}(\\{r_{s} ,w_{s} \\}_{s=t}^{s=T}) - K_{t}  \\\\ \\\\\n",
     "  w_{t} - (1-\\alpha) Z_{t} K_{t}^{\\alpha} \\bar{L}^{-\\alpha} \\\\ \\\\\n",
     "r_{t} - \\alpha  Z_{t} K_{t}^{\\alpha - 1} \\bar{L}^{1-\\alpha} \\\\ \\\\\n",
-    " \\end{pmatrix} = \\begin{pmatrix} 0 \\\\ 0  \\\\ 0\\\\ \\end{pmatrix} , \\quad t=0,1 ,2,3,....$$\n",
+    " \\end{pmatrix} = \\begin{pmatrix} 0 \\\\ 0  \\\\ 0\\\\ \\end{pmatrix} , \\quad t=0,1,2,3,...$$\n",
     " \n",
     " where \n",
     " \n",
-    "\n",
-    " \n",
-    " $\\mathbf{U} = \\left(K_{t} , r_{t} , w_{t} \\right)_{t=0}^{t=T}$ \n",
-    " \n",
-    " $\\mathbf{Z} = \\left(Z_{t}\\right)_{t=0}^{t=T}$\n",
+    " $\\mathbf{U} = \\left\\{K_{t}, r_{t}, w_{t} \\right\\}_{t=0}^{s=T},$\n",
     " \n",
-    "Now define $$\\mathbf{H}(\\mathbf{U},\\mathbf{Z})= \\begin{pmatrix} \n",
+    " $\\mathbf{Z} = \\left\\{Z_{t}\\right\\}_{t=0}^{t=T}.$\n",
+    "\n",
+    "The equilibrium conditions for a single period can be stacked across all periods $t=0,\\cdots,T$, yielding the overall system:\n",
+    "\n",
+    "$$\\mathbf{H}(\\mathbf{U},\\mathbf{Z})= \\begin{pmatrix} \n",
     "H_{0}(\\mathbf{U},\\mathbf{Z}) \\\\ \\\\\n",
-    ". \\\\ \\\\\n",
-    ". \\\\ \\\\\n",
+    "\\vdots \\\\ \\\\\n",
     " H_{t}(\\mathbf{U},\\mathbf{Z}) \\\\ \\\\\n",
-    " . \\\\ \\\\\n",
-    " . \\\\ \\\\\n",
+    "\\vdots \\\\ \\\\\n",
     "H_{T}(\\mathbf{U},\\mathbf{Z}) \\\\ \\\\\n",
-    " \\end{pmatrix} = \\begin{pmatrix} 0 \\\\ .\\\\ 0 \\\\ . \\\\ 0\\\\ \\end{pmatrix}$$\n",
-    " \n",
-    " "
+    " \\end{pmatrix} = \\begin{pmatrix} 0 \\\\ 0 \\\\ 0 \\\\ \\vdots \\\\ 0 \\\\ 0 \\\\ 0 \\\\ \\vdots \\\\ 0 \\\\ 0 \\\\ 0 \\\\ \\end{pmatrix}.$$"
    ]
   },
   {
@@ -196,21 +185,15 @@
    "id": "a545e7ca",
    "metadata": {},
    "source": [
-    "# How to solve this model?\n",
-    "\n",
-    "- Linearize around steady state.\n",
-    "\n",
-    "By implicit function theorem\n",
-    "\n",
+    "# Solve the model by linearizing around the steady state\n",
     "\n",
-    "$$ d\\mathbf{U} = -\\mathbf{H}_{\\mathbf{U}}^{-1}(\\mathbf{U}_{ss},\\mathbf{Z}_{ss}) \\mathbf{H}_{\\mathbf{Z}}(\\mathbf{U}_{ss},\\mathbf{Z}_{ss}) d\\mathbf{Z}$$\n",
+    "We are interested in how aggregate outcomes will change in response to exogenous shocks. Denote the endogenous impulse response as $d\\mathbf{U} \\equiv \\left\\{dK_{t} , dr_{t} , dw_{t} \\right\\}_{t=0}^{t=T}$, and the exogenous shock (a change in future productivity shocks) as $d\\mathbf{Z} = \\left\\{ dZ_{t}\\right\\}_{t=0}^{t=T}$.\n",
     "\n",
-    "or to be trite\n",
-    "\n",
-    "$$ d\\mathbf{U} = -\\mathbf{H}_{\\mathbf{U}}^{-1} \\mathbf{H}_{\\mathbf{Z}} d\\mathbf{Z}$$\n",
+    "The characterization of the equilibrium conditions as a root of a system of equations $\\mathbf{H}(\\mathbf{U},\\mathbf{Z}) = 0$ defined on the *sequence space* allows us to apply the implicit function theorem to finf the impulse response:\n",
     "\n",
+    "$$ d\\mathbf{U} = -\\mathbf{H}_{\\mathbf{U}}(\\mathbf{U}_{ss},\\mathbf{Z}_{ss})^{-1} \\mathbf{H}_{\\mathbf{Z}}(\\mathbf{U}_{ss},\\mathbf{Z}_{ss}) d\\mathbf{Z}.$$\n",
     "\n",
-    "where $d\\mathbf{U} = \\left(dK_{t} , dr_{t} , dw_{t} \\right)_{t=0}^{t=T}$ is the endogenous impulse response to some exogenous shock $d\\mathbf{Z} = \\left(dZ_{t}\\right)_{t=0}^{t=T}$"
+    "We thus have a characterization of how aggregate outcomes respond to exogenous shocks *near the steady state outcomes*. In this context, the ``steady state productivity shock sequence'' $\\mathbf{Z}_{ss}$ is simply $(0,\\cdots,0)$, and the steady state outcome sequence is a constant sequence of aggregate capital and factor prices that obtain *in the absence of macroeconomic shocks*."
    ]
   },
   {
@@ -220,19 +203,17 @@
    "source": [
     "## Heterogenous Agent Jacobian \n",
     "\n",
-    "When computing $-\\mathbf{H}_{\\mathbf{U}}^{-1}(\\mathbf{U}_{ss},\\mathbf{Z}_{ss})$ we will need to compute the jacobian of  $$\\mathbf{F}(\\mathbf{r},\\mathbf{w}) =  \\begin{pmatrix} \\mathcal{K}_{0}(\\{r_{s} ,w_{s} \\}_{s=0}^{s=T})\\\\ \\\\\n",
-    ".\\\\ \\\\\n",
-    ". \\\\ \\\\\n",
-    "\\mathcal{K}_{t}(\\{r_{s} ,w_{s} \\}_{s=0}^{s=T})\\\\ \\\\\n",
-    ".\\\\ \\\\\n",
-    ".\\\\ \\\\\n",
-    "\\mathcal{K}_{T}(\\{r_{s} ,w_{s} \\}_{s=0}^{s=T})\\\\ \\\\\n",
-    "\\end{pmatrix} $$ \n",
+    "When computing $-\\mathbf{H}_{\\mathbf{U}}(\\mathbf{U}_{ss},\\mathbf{Z}_{ss})^{-1}$ we will need to compute the Jacobian of\n",
     "\n",
+    "$$\\mathbf{F}(\\mathbf{r},\\mathbf{w}) =  \\begin{pmatrix} \\mathcal{K}_{0}(\\{r_{s}, w_{s} \\}_{s=0}^{s=T})\\\\\n",
+    "\\vdots \\\\\n",
+    "\\mathcal{K}_{t}(\\{r_{s} ,w_{s} \\}_{s=0}^{s=T})\\\\\n",
+    "\\vdots \\\\\n",
+    "\\mathcal{K}_{T}(\\{r_{s} ,w_{s} \\}_{s=0}^{s=T})\\\\\n",
+    "\\end{pmatrix}.$$ \n",
     "\n",
-    "More specifically we will need the Jacobian Matrix $\\mathbf{F}_{\\mathbf{r}}(\\mathbf{r},\\mathbf{w})$ and $\\mathbf{F}_{\\mathbf{r}}(\\mathbf{r},\\mathbf{w})$\n",
     "\n",
-    "where\n",
+    "More specifically, we will need the Jacobian matrices $\\mathbf{F}_{\\mathbf{r}}(\\mathbf{r},\\mathbf{w})$ and $\\mathbf{F}_{\\mathbf{w}}(\\mathbf{r},\\mathbf{w})$, where\n",
     "  \n",
     "  $$ \\mathbf{F}_{\\mathbf{r}}(\\mathbf{r},\\mathbf{w}) = \\begin{pmatrix} \n",
     "\\frac{ \\partial \\mathcal{K}_{0}}{\\partial r_{0}}  & ... & \\frac{ \\partial \\mathcal{K}_{0}}{ \\partial r_{t}} & ... & \\frac{ \\partial  \\mathcal{K}_{0}}{\\partial r_{T}} \\\\ . \\\\ .\n",
@@ -242,9 +223,9 @@
     "\\frac{ \\partial \\mathcal{K}_{t}}{\\partial r_{0}}  & ... & \\frac{ \\partial \\mathcal{K}_{t}}{ \\partial r_{t}} & ... & \\frac{ \\partial \\mathcal{K}_{t}}{\\partial r_{T}} \\\\ . \\\\ .\n",
     "\\\\ . \\\\\n",
     "\\frac{ \\partial \\mathcal{K}_{T}}{\\partial r_{0}}  & ...  & \\frac{ \\partial \\mathcal{K}_{T}}{ \\partial r_{t}} & ... & \\frac{ \\partial  \\mathcal{K}_{T}}{\\partial r_{T}}  \\\\ \\\\\n",
-    " \\end{pmatrix} $$\n",
-    " \n",
-    "\n"
+    " \\end{pmatrix}$$\n",
+    "\n",
+    "(and likewise for $\\mathbf{F}_{\\mathbf{w}}(\\mathbf{r},\\mathbf{w})$)."
    ]
   },
   {
@@ -252,10 +233,9 @@
    "id": "1488f183",
    "metadata": {},
    "source": [
-    "- These Jacobian matrices are the most computationally complex object to compute in the model. Direct methods can take up to 20 minutes for each matrix.\n",
+    "These Jacobian matrices are the most computationally complex object to compute in the model. Direct methods can take up to 20 minutes for each matrix.\n",
     "\n",
-    "- The sequence space jacobian methodology proposes a 'fake news' algorithm to solve these matrices in under 3 seconds!\n",
-    "\n"
+    "The sequence space Jacobian methodology proposes a 'fake news' algorithm to solve these matrices in under 3 seconds!"
    ]
   },
   {
@@ -280,7 +260,7 @@
     "\n",
     "$$ d\\mathbf{U} = -\\mathbf{H}_{\\mathbf{U}}^{-1} \\mathbf{H}_{\\mathbf{Z}} d\\mathbf{Z}$$\n",
     "\n",
-    "- When linearizing , solve heterogenous agent jacobians with fake news algorithm\n"
+    "When linearizing, find heterogenous agent Jacobians with fake news algorithm\n"
    ]
   },
   {
@@ -288,7 +268,7 @@
    "id": "98072c90",
    "metadata": {},
    "source": [
-    "## What if model contains many equations?"
+    "## What if the model contains many equations?"
    ]
   },
   {
@@ -296,14 +276,13 @@
    "id": "c66c3791",
    "metadata": {},
    "source": [
-    "The system above can be reduced to \n",
+    "Because labor is exogenously supplied, aggregate capital $K_t$ is a perfect instrument for factor prices $r_t$ and $w_t$. The system above can thus be reduced to simply:\n",
     "\n",
-    "$$ H_{t}(\\mathbf{U},\\mathbf{Z}) = \\begin{pmatrix} \n",
-    " \\mathcal{K}_{t}(\\{\\alpha  Z_{t} K_{t}^{\\alpha - 1} \\bar{L}^{1-\\alpha} ,(1-\\alpha) Z_{s} K_{s}^{\\alpha} \\bar{L}^{-\\alpha} \\}_{s=0}^{s=T}) - K_{t}  \\\\ \\\\\n",
+    "$$ H_{t}(\\mathbf{U},\\mathbf{Z}) \\equiv \\begin{pmatrix} \n",
+    " \\mathcal{K}_{t}\\left(\\{\\alpha  Z_{t} K_{t}^{\\alpha - 1} \\bar{L}^{1-\\alpha} ,(1-\\alpha) Z_{s} K_{s}^{\\alpha} \\bar{L}^{-\\alpha} \\}_{s=0}^{s=T}\\right) - K_{t}  \\\\\n",
     " \\end{pmatrix} = 0, \\quad t=0,1 ,2,3,....$$\n",
     " \n",
-    " where  $\\mathbf{U} = \\left(K_{0},K_{1}.K_{2}....,K_{T}  \\right)$ \n",
-    "\n"
+    " where  $\\mathbf{U} = \\left(K_{0},K_{1}.K_{2}....,K_{T}  \\right)$."
    ]
   },
   {
@@ -337,6 +316,14 @@
     "\n",
     "display.Image(\"KS_DAG.jpeg\")"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3ee1c897-4a63-4437-a596-0c8af34ada66",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -355,7 +342,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.10.14"
   }
  },
  "nbformat": 4,


Test patch:
diff --git a/HARK/ConsumptionSaving/tests/test_ConsNewKeynesianModel.py b/HARK/ConsumptionSaving/tests/test_ConsNewKeynesianModel.py
index 10a75e2c5..c2b654882 100644
--- a/HARK/ConsumptionSaving/tests/test_ConsNewKeynesianModel.py
+++ b/HARK/ConsumptionSaving/tests/test_ConsNewKeynesianModel.py
@@ -5,59 +5,15 @@
 from HARK.ConsumptionSaving.ConsNewKeynesianModel import NewKeynesianConsumerType
 from HARK.tests import HARK_PRECISION
 
-jacobian_test_dict = {
-    # Parameters shared with the perfect foresight model
-    "CRRA": 2,  # Coefficient of relative risk aversion
-    "Rfree": 1.04**0.25,  # Interest factor on assets
-    "DiscFac": 0.9735,  # Intertemporal discount factor
-    "LivPrb": [0.99375],  # Survival probability
-    "PermGroFac": [1.00],  # Permanent income growth factor
-    # Parameters that specify the income distribution over the lifecycle
-    "PermShkStd": [
-        0.06
-    ],  # [(0.01*4/11)**0.5],    # Standard deviation of log permanent shocks to income
-    "PermShkCount": 5,  # Number of points in discrete approximation to permanent income shocks
-    "TranShkStd": [0.3],  # Standard deviation of log transitory shocks to income
-    "TranShkCount": 5,  # Number of points in discrete approximation to transitory income shocks
-    "UnempPrb": 0.07,  # Probability of unemployment while working
-    "IncUnemp": 0.3,  # Unemployment benefits replacement rate
-    "UnempPrbRet": 0.0005,  # Probability of "unemployment" while retired
-    "IncUnempRet": 0.0,  # "Unemployment" benefits when retired
-    "T_retire": 0,  # Period of retirement (0 --> no retirement)
-    # Parameters for constructing the "assets above minimum" grid
-    "aXtraMin": 0.001,  # Minimum end-of-period "assets above minimum" value
-    "aXtraMax": 20,  # Maximum end-of-period "assets above minimum" value
-    "aXtraCount": 48,  # Number of points in the base grid of "assets above minimum"
-    "aXtraNestFac": 3,  # Exponential nesting factor when constructing "assets above minimum" grid
-    "aXtraExtra": None,  # Additional values to add to aXtraGrid
-    # A few other parameters
-    "BoroCnstArt": 0.0,  # Artificial borrowing constraint; imposed minimum level of end-of period assets
-    "vFuncBool": True,  # Whether to calculate the value function during solution
-    "CubicBool": False,  # Preference shocks currently only compatible with linear cFunc
-    "T_cycle": 1,  # Number of periods in the cycle for this agent type
-    # Parameters only used in simulation
-    "AgentCount": 500,  # Number of agents of this type
-    "T_sim": 100,  # Number of periods to simulate
-    "aNrmInitMean": np.log(1.3) - (0.5**2) / 2,  # Mean of log initial assets
-    "aNrmInitStd": 0.5,  # Standard deviation of log initial assets
-    "pLvlInitMean": 0,  # Mean of log initial permanent income
-    "pLvlInitStd": 0,  # Standard deviation of log initial permanent income
-    "PermGroFacAgg": 1.0,  # Aggregate permanent income growth factor
-    "T_age": None,  # Age after which simulated agents are automatically killed
-    # Parameters for Transition Matrix Simulation
-    "mMin": 0.001,
-    "mMax": 20,
-    "mCount": 48,
-    "mFac": 3,
-}
-
 
 # %% Test Transition Matrix Methods
 
+# Uses class default values
+
 
 class test_Transition_Matrix_Methods(unittest.TestCase):
     def test_calc_tran_matrix(self):
-        example1 = NewKeynesianConsumerType(**jacobian_test_dict)
+        example1 = NewKeynesianConsumerType()
         example1.cycles = 0
         example1.solve()
 
@@ -83,8 +39,8 @@ def test_calc_tran_matrix(self):
         AggC = np.dot(gridc.flatten(), vecDstn)  # Aggregate Consumption
         AggA = np.dot(grida.flatten(), vecDstn)  # Aggregate Assets
 
-        self.assertAlmostEqual(AggA[0], 1.19513, places=4)
-        self.assertAlmostEqual(AggC[0], 1.00417, places=4)
+        self.assertAlmostEqual(AggA[0], 0.82984, places=4)
+        self.assertAlmostEqual(AggC[0], 1.00780, places=4)
 
 
 # %% Test Heterogenous Agent Jacobian Methods
@@ -92,10 +48,10 @@ def test_calc_tran_matrix(self):
 
 class test_Jacobian_methods(unittest.TestCase):
     def test_calc_jacobian(self):
-        Agent = NewKeynesianConsumerType(**jacobian_test_dict)
+        Agent = NewKeynesianConsumerType()
         Agent.compute_steady_state()
         CJAC_Perm, AJAC_Perm = Agent.calc_jacobian("PermShkStd", 50)
 
-        self.assertAlmostEqual(CJAC_Perm.T[30][29], -0.06120, places=HARK_PRECISION)
-        self.assertAlmostEqual(CJAC_Perm.T[30][30], 0.05307, places=HARK_PRECISION)
-        self.assertAlmostEqual(CJAC_Perm.T[30][31], 0.04674, places=HARK_PRECISION)
+        self.assertAlmostEqual(CJAC_Perm.T[30][29], -0.10503, places=HARK_PRECISION)
+        self.assertAlmostEqual(CJAC_Perm.T[30][30], 0.10316, places=HARK_PRECISION)
+        self.assertAlmostEqual(CJAC_Perm.T[30][31], 0.09059, places=HARK_PRECISION)