AQRM part 1
- Created by: charlie
- Created on: 21-05-17 10:51
| S | F | T | E | F | D | N | Y | E | F | B | J | I | G | E | A | F | F | V | Q | G |
| Q | U | C | H | U | H | G | N | N | U | K | U | Y | I | I | F | E | U | O | E | V |
| P | N | F | H | N | I | V | F | D | N | L | E | F | P | Y | G | R | N | X | C | M |
| J | C | G | P | C | L | H | M | O | C | G | C | T | T | L | F | E | C | K | E | H |
| X | T | C | Y | T | F | C | N | I | T | R | E | E | I | I | T | S | T | V | I | S |
| Q | I | Y | J | I | U | F | X | W | I | B | D | M | U | T | R | I | I | P | K | B |
| J | O | Y | I | O | N | D | J | Q | O | F | S | L | A | L | A | D | O | K | R | C |
| V | N | M | N | N | C | W | J | F | N | H | T | T | U | T | T | U | N | U | H | J |
| X | A | D | T | A | T | P | E | Y | A | D | S | V | T | P | I | A | A | Q | O | J |
| A | L | S | E | L | I | T | B | Q | L | F | U | E | P | X | O | L | L | V | H | R |
| P | F | P | R | F | O | F | Y | N | F | B | G | K | N | X | E | S | F | E | A | A |
| F | O | S | A | O | N | J | B | X | O | L | A | Q | X | M | Q | F | O | W | F | F |
| S | R | I | C | R | A | V | W | K | R | G | W | T | C | I | U | V | R | D | R | N |
| X | M | E | T | M | L | G | E | X | M | A | A | I | W | C | A | R | M | T | G | E |
| F | L | U | I | L | F | V | L | R | L | I | W | V | M | L | T | H | L | G | W | D |
| F | O | L | O | I | O | F | C | O | I | X | T | S | L | P | I | B | O | T | U | E |
| C | G | A | N | N | R | L | K | H | N | W | Y | F | W | J | O | N | G | O | P | T |
| A | L | V | S | L | M | R | F | O | L | K | M | S | N | U | N | U | L | E | J | F |
| I | O | P | M | I | C | I | S | O | O | C | J | C | O | K | I | S | I | U | I | Q |
| F | G | J | U | N | G | X | U | G | G | K | U | C | I | B | U | K | N | H | U | S |
| H | O | H | M | M | C | N | J | J | M | Q | F | W | T | X | S | G | B | D | M | W |
Clues
- . (1, 5, 8)
- captured by adding new variable (X1X2) which captures possibility that effect of one regressor on the outcome varies due to the level of another regressor (regressors effect on outcome non-additive) (12)
- Cobb-Douglas production function, take logs to get linear coefficients (OLS assumption 1) (10, 4)
- coefficient are semi-elasticities, % change (relative) and unit change (absolute), x100 (if coef=0.01) or take exponential (if coef>0.01) to get log form (10, 4, 3, 3)
- coefficients are elasticities, % changes (relative), good for large values (monetary). log(1)=0 (10, 4, 3, 3)
- estimates of error term (s.d) as we don't observe it, difference between Yi and Yi(hat) (fitted values predicted by OLS estimator) (9)
- probability of an SINGLE observed result (more extreme) when H0 is true (1, 5)
- tests significance of all coefficients (null hypothesis H0 that none of coef are sig./ matter), compare to F-tables/ Prob>F (1, 4)
- unit change (absolute) and % change (relative), divide by 100 to get linear form (10, 4, 3, 3)
- unit changes (absolute), take note of units that they're in (10, 4, 3, 3)
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