ADEC 7810
Empirical Behavioral Economics · 1 instructor on record · 7 sections
That is the class itself, averaged across everyone who taught it. Who taught it, and how each of them scored, is the board below — that is what a student picking a section is actually choosing between.
Boston College's own “intellectually challenging” question for this class only — students answer it positively about courses that stretched them, so it measures intellectual challenge and NOT grading, workload or quality. Almost every BC class scores high on it, which is why it is shown as a rank rather than a score.
Boston College reports workload for this class only as one of five bands, not as a number of hours, and it does not publish what the bands mean — so this site will not translate it into hours. Higher means more work, which is not the same as worse.
Behavioral economics combines insights from economics and the cognitive sciences to study how human beings make decisions in various contexts. This course will introduce you to the key concepts in this field and give you the tools you need to start designing your own experiments for business or policy applications. Beginning from the standard rational model, we first study the decision-maker in isolation and then move on to the decision-maker in strategic settings. As we go, we will learn how to use simple theoretical models to describe and predict behavior, as well as analyze data from canonical published experiments using R. We will then see how firms and policy makers can design interventions help people make better decisions.
| Instructor | Overall | Workload | Challenge |
|---|---|---|---|
| Lawrence DegeestAdvancing Studies | 937 records | 87th | 49th |
There is no ranking to read here: Lawrence Degeest is the only instructor with evaluation records for ADEC 7810, so the number is a record, not a position.
Other ADEC classes
All of themThe line
All 13 items · means across 7 recordsBar length is the rank against every comparable record we hold, not the raw score: BC's questions all have a median around 4.5, so a raw-scale bar would be nearly full on every row and would tell you nothing. Every bar is one ink colour — nothing here is graded green or red. The hatched bars are not ratings at all: a higher number on either describes a different course, not a better one.
Game log
7 sections · newest first| Instructor | Term | Sec | Instr | Course | Work |
|---|---|---|---|---|---|
| Lawrence Degeest | Fall 2025 | 01 | 87 | 77 | 60 |
| Lawrence Degeest | Fall 2024 | 01 | 93 | 89 | 80 |
| Lawrence Degeest | Fall 2023 | 01 | 92 | 92 | — |
| Lawrence Degeest | Summer 2023 | 01 | 93 | 92 | — |
| Lawrence Degeest | Summer 2022 | 01 | 94 | 94 | 60 |
| Lawrence Degeest | Fall 2021 | 01 | 97 | 94 | 80 |
| Lawrence Degeest | Midterm Fall 2022 | 01 | 97 | 97 | 100 |
How to read this boardInstructors are ranked on their record in this class only, never on their average across everything they teach. Scores are out of 100 — Boston College's 1–5 agreement scale, ×20, the way these numbers were printed for years. Workload is BC's own five-band figure, not a number of hours, and is shown as a rank. A dash means the question was not reported, and is never a zero.