{ "cells": [ { "cell_type": "markdown", "id": "b7981852", "metadata": {}, "source": [ "# Course Syllabus" ] }, { "cell_type": "code", "execution_count": 1, "id": "fa0a91ab", "metadata": { "tags": [ "remove_input", "remove_output" ] }, "outputs": [ { "data": { "text/plain": [ "'252 Chancellors Hall'" ] }, "metadata": { "scrapbook": { "mime_prefix": "", "name": "officeg" } }, "output_type": "display_data" }, { "data": { "text/plain": [ "'Fall 2023'" ] }, "metadata": { "scrapbook": { "mime_prefix": "", "name": "termg" } }, "output_type": "display_data" }, { "data": { "text/plain": [ "'rob.hicks@wm.edu'" ] }, "metadata": { "scrapbook": { "mime_prefix": "", "name": "emailg" } }, "output_type": "display_data" }, { "data": { "text/plain": [ "'TR 5:00-6:20 pm'" ] }, "metadata": { "scrapbook": { "mime_prefix": "", "name": "classtimeg" } }, "output_type": "display_data" }, { "data": { "text/plain": [ "'Wednesday 4:00 - 5:00pm'" ] }, "metadata": { "scrapbook": { "mime_prefix": "", "name": "officehoursg" } }, "output_type": "display_data" }, { "data": { "text/plain": [ "'113 Chancellors Hall'" ] }, "metadata": { "scrapbook": { "mime_prefix": "", "name": "classroomg" } }, "output_type": "display_data" }, { "data": { "text/plain": [ "'Oct. 10'" ] }, "metadata": { "scrapbook": { "mime_prefix": "", "name": "midtermg" } }, "output_type": "display_data" } ], "source": [ "# set variables for this semester\n", "office = '252 Chancellors Hall'\t\t\n", "term = 'Fall 2023'\t\t\t\t\t\t\n", "email = 'rob.hicks@wm.edu'\t\t\t\n", "classtime = 'TR 5:00-6:20 pm'\t\n", "officehours = 'Wednesday 4:00 - 5:00pm'\n", "classroom = '113 Chancellors Hall'\n", "# coffeehour = '4:00-5:00pm Sunday'\n", "midterm = 'Oct. 10'\n", "\n", "# set dates for this semester\n", "dates =\t [['First day of class',\t 'Aug. 31'], \n", "\t\t ['Mid-Term',\t\t\t midterm], \n", "\t\t ['Fall Break',\t\t\t 'Oct 12-15'], \n", " ['Thanksgiving',\t\t\t 'Nov. 22-26'], \n", "\t\t ['Last day of this class', 'Dec. 7'], \n", "\t\t ['Final Exam',\t\t\t 'Dec. 14 (7:00 - 10:00pm)']] \n", "\n", "from myst_nb import glue\n", "# put all data for this semester here\n", "glue(\"officeg\", office)\n", "glue(\"termg\", term)\n", "glue(\"emailg\", email)\n", "glue(\"classtimeg\", classtime)\n", "glue(\"officehoursg\", officehours)\n", "glue(\"classroomg\", classroom)\n", "# glue(\"coffeehourg\", coffeehour)\n", "glue(\"midtermg\", midterm)\n", "\n", "import pandas as pd\n", "df = pd.DataFrame(dates, columns=['Item', 'Date'])" ] }, { "cell_type": "markdown", "id": "863d02e5", "metadata": {}, "source": [ "- **Instructor**: Rob Hicks\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n", "- **Office**: {glue:text}`officeg`\n", "- **Term**: {glue:text}`termg`\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n", "- **E-mail**: {glue:text}`emailg`\n", "- **Class Time**: {glue:text}`classtimeg` \n", "- **Class Room**: {glue:text}`classroomg`\n", "\n", "## Course Summary\n", "\n", "In this course we will explore econometric techniques for testing\n", "microeconomic theories at the individual or firm level. With the advent\n", "of computers and associated data on economic behavior, the past few\n", "decades has seen an explosion of applied economic research using a wide\n", "range of techniques for this type of data- termed cross section data and\n", "cross section econometrics. In this course, you will learn about these\n", "techniques, will learn to be an educated consumer of econometric\n", "research, and will apply these techniques to real data. We will also\n", "derive many of the properties of the statistical techniques used in this\n", "course, but primarily at the end of the course you will\n", "\n", "- Understand the strengths and weaknesses of cross section techniques\n", "- Know how to test the validity of modeling assumptions\n", "- Know the proper econometric technique for a wide variety of\n", " cross section settings\n", "\n", "### Topics\n", "\n", "We will be covering the following topics this semester. Each of these\n", "have an entry at the course's [google\n", "classroom](https://classroom.google.com/u/1/c/NTI2NDQxNzU5NDc3):\n", "\n", "- Introduction to the Course\n", "- Ordinary Least Squares\n", "- Endogeneity and IV Regression\n", "- Panel Data\n", "- Maximum Likelihood Estimation\n", " - Probit and Logit models\n", " - Truncation, Censoring, and Sample Selection\n", "\n", "If time allows we might cover additional topics.\n", "\n", "## Important Dates\n", "\n", "
Item | \n", "Date | \n", "
---|---|
First day of class | \n", "Aug. 31 | \n", "
Mid-Term | \n", "Oct. 10 | \n", "
Fall Break | \n", "Oct 12-15 | \n", "
Thanksgiving | \n", "Nov. 22-26 | \n", "
Last day of this class | \n", "Dec. 7 | \n", "
Final Exam | \n", "Dec. 14 (7:00 - 10:00pm) | \n", "