| 000 | 01316cam a2200373 a 4500 | ||
|---|---|---|---|
| 020 | _a0070502080 | ||
| 020 | _a9780070502086 | ||
| 020 | _a0079132928 | ||
| 020 | _a9780079132925 | ||
| 020 | _a0078480434 | ||
| 020 | _a9780078480430 | ||
| 020 | _a0071158367 | ||
| 020 | _a9780071158367 | ||
| 020 | _a0071188312 | ||
| 020 | _a9780071188319 | ||
| 020 | _a0070500983 | ||
| 020 | _a9780070500983 | ||
| 020 | _a0071008667 | ||
| 020 | _a9780071008662 | ||
| 082 | 0 | 0 | _a330/.01/5195 |
| 100 | 1 | _aPindyck, Robert S | |
| 245 | 1 | 0 | _aEconometric models and economic forecasts / |
| 250 | _aFourth edition | ||
| 260 |
_aNew York _bMc Graw Hill _c1998 |
||
| 300 |
_axx, 634 pages : _billustrations ; _e1 computer disc (3 1/2 in.) |
||
| 490 | 0 | _aEconomics series | |
| 505 | 0 | _apt. 1. The basic of regression analysis -- pt. 2. Single-equation regression models -- pt. 3. Multi-equation models -- pt. 4. Time-series models | |
| 520 | _aThis well known text helps students understand the art of model building - what type of model to build, building the appropriate model, testing it statistically, and applying the model to practical problems in forecasting and analysis | ||
| 650 | 0 | _aEconomic forecasting | |
| 650 | 0 | _aEconometrics | |
| 650 | 4 | _aUSA | |
| 700 | 1 | _aRubinfeld, Daniel L | |
| 942 | _cBK | ||
| 999 |
_c7334 _d7334 |
||