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ECON 503 Economics
创建日期：2024-07-09 16:21:12
所属分类：经济Economics
标签： ECON 503
Economics

Hello, dear friend, you can consult us at any time if you have any questions, add  WeChat:  THEend8_


ECON 503 


 Economics

This is an open-note, open-book, open-room, open-laptop, open-kitchen, open-border, open to family & friends, but not an open discussion examination.  Notations are as used in the class. Credit for each question is given in  [     ].   Please write your answers “without a cloud” (a Chinese metaphor for clarity). FIVE bonus marks will be awarded for neatness. GOOD LUCK!!

Prof Bera’s Econ 503, What he taught in class

after the Midterm, Spring 2021

Prof Bera’s Econ 503 Final, Spring 2021 Exam,

as it appears to be

These pictures and captions were suggested by Utsoree Das, all the way from Kolkata, India. Herself a student, I think, Utsoree only had amiability in mind.

1.  [10] (Geometry by OLS)

Explain the diagram as much as you can.

2.  [15] (From Greek ε to English e)

Recall our definition of e = Y − X, where = (X′ X)−1X ′ Y in the context of the multiple regression model Y = Xβ + ε .

Write a character certificate (reference letter) on behalf of e  [i.e.  discuss its usefulness, and properties good (10 marks) and bad/ugly (5 marks)].

3.  [10+10] (All important: An Application)

Consider the following model to explain CEOs salaries in terms of annual firm sales, return on equity (roe, in percentage form), and return on firm’s stock (ros, in percentage form):

log(salary) = β0  + β1 log(sales) + β2roe + β3ros + u

(i) In terms of model parameters, state the null hypothesis that after controlling for sales and roe, ros has no effect on CEO salary. State the alternative that better stock market performance increases CEO salary. Also, state the null hypothesis in matrix notation (Rβ = δ) we studied in class, i.e. specify the matrices, R, β, and δ .

(ii) Using data on 209 observations, the following equation was obtained through OLS (where the standard errors are given in parentheses):

Test the null hypothesis that ros has no effect on salary against the alternative that ros has positive effect, at the 10% level (t0.90,205   =  1.286).  Would you include ros in a final model explaining CEO compensation in terms of firm performance? Explain.

4.  [5+15] (All about Jingle-Bell {JB})

(i) What is the intuition behind the JB test for normality?

(ii) Compile the bad things about JB, and discuss how those can be overcome, if at all.  Note: There is absolutely no constraint on how far you can go in answering this question.

5.  [10+10] (On our favorite:  Y`ı f¯angch¯a

(i) Discuss step-by-step how you would carry out a test for heteroscedasticity [Breusch-Pagan or White] in the context of the linear regression model.

(ii) Why do we need robust standard error (s.e.)  in the presence of heteroscedasticity?  And how is it calculated?

6.  [5+10] (Dependence: It depends on your understanding)

In time-series context, for the regression model:

yt  = x'tβ + εt

we considered two kinds of dependence for εt , namely,

AR(1) process:

E(εt |ψt) = ρεt−1,      |ρ| < 1 (1)

and ARCH(1) process:

V (εt |ψt) = α0 + α1ε2t−1,      |α1| < 1 (2)

where ψt  represents all the past information.

(i) What are the consequences for the OLS estimator under AR(1) dependence, as in (1). (ii) Distinguish between these two kinds of dependence, i.e., between (1) and (2).

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EARN 5 FE 825 IERG 5130 STAT 8178 EE161 ADS2 G54FUZ CS326 113B ECN 226 QBUS6860 ELEC3202 COMP9334 MGT11B MET CS 777 STA238 00099F Python SMM306 CMT206 EC116 SP MAST90084 CS480/680 BCPM0091 CMPT 300 ECON2209 FY20 STAT 432 CVEN9625 MATH1712 CMP9771M CMP3750M CIS 325 AI506 MAT344H1S MGT7180 PSTAT 160B CSYS5010 1D STAT 453/558 ME152B STA304H1F CSCI-128 ME428 CO3002 FINE 7640 COMP3234 ECSE 223 EE497 – 3D MATH5905 ECS648U ENG5009 MATH10242 EC665 A CPI221 ISOM5220 MACE40402 MGT B456F COMP9315 AFM 113 STAT 778 CS 564 MA231 CS 230 CS 124 COMP5511 CSC317 ITEC1010 ELEC207 INFT 3019 7CCMFM06 EE 161 5G ECLT5810 MATH 7349 CS526 O2 COMP90054 ELE00063M ACCT5034 ARC1015 CSCI 40 CSCI E40 FIN 524B CS 462 389COM CMT309 MFIN703 COMP4250 STA304 STA304H1S STA 1003 FIN 448 BUFN 732 CS520 CVEN3701 ECMT6006 PHAS0100 CSIT314 MDIA 5028 CSCI 2134 MAT 451 CMPT 459 STAT 457 INFO20003 COMP4141 IELE8066 F540 ECM9 CSE 6321 FIN 430 MATH3911 BFC5916 COMP1011 EEE 6209 STATS 240 CW3 COMP206 COMP1003 4331W ISE 530 CMPT 295 MATH 239 QF5203 INFR08010 IT114105 FIT2093 ECON3124 ECON1195 MATH 337 STAT 3006 COMP202 COMP3130 MATH3609 COMP 250 CS6140 IEEE ELE00041I FIN40090 CIV 5899 MATH3066 IGNMENT MATH 2009 STAT3405 HIST 101 MATH 3281 CEGE0042 ICT532 LAB 7 LAB 5 MCO455 CSIT214 Q4 IFB104 A1 ECO220Y5Y DA5020 CMPSC473 FIN9007 DSCI553 MSCI534 COMP3308 CSE-112 CMPT 310 EE104 F 2C P20 ALY2010 BUSM060 STA258 ECO00030M R BIOSTAT 274 COS6012-B FIT3155 CMPUT 340 EC421 INFS4205 ECOM135 NATS 1740 COMP809 MBE 6005 STA465 CSSE2310 CIVL2700 DATA4700 CMPSC 473 ISE 529 CS5044 MAST30020 COMP2207 ENGG1001 COMP0046 FIT3165 STAT GR5241 MECH0007 vATHK1001 ANALYTIC ATHK1001 MATH352001 HW3 S1 BMAN 24662 COMP 636 Stat-461 STAT 302 STAT 2132 STAR534 ENG4137 CMP3752M CS3103 BISM3222 STA 135 ME155A IIMT3601 ECON3371 ECON 3371 HW4 FINA 5840 DT211C CTEC3902 MAT005 MATH2148 S261F Econ 332 MATH3734 MIS41270 7CCMFM13 SYST 664 CIS434 CENG10014 MT4111 MT4527 ECMM424 CMT219 Math 136 MATH 3120 COMP10002 MAST20009 MATH0058 BEEM117 ISYE 6420 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MATH20602 COMP532 MAS275 COMP5318 COMP4002 FIT5086 MAST20004 FIT3152 FIT5129 CIS2380 CS521 COMP 1005 EECMS CITS5501 ECE 462 ECON 6002 ENG 4051 CSC 648 CMT654 MECHENG 713 PHYS1002 AMME 2000 FP0060 DDES3200 MECHENG 743 BINF90002 FIT2081 ISYS90081 ELECTENG 722 BUS 360 ECOS3010 BUS2810 ETF2100 ENG2048 STAT5002 COMP2017 CEME 2003 MATS3004 COMP9319 PHYS1001 COMP5349 AMME2261 COMP-381 FIT3173 COSC2757 ENG4025 QBUS2820 COMP9414 MATH2021 EOSC118 MFIN6690 PMATH 321 CSE-141L MATH575A COMPSCI5002 COMP1511 management comp2123 FINS3616 COMP 3331 COMS30034 DTSC 71 AcF 702 AcF702 DTSC71 MAT021 ELE8083 ACFI213 EG-127J 127J FIT5163 FIT2001 ELE00113M CMT310 CS 245 ENGL 1101 MTH6115 EE497 CS 325 Math 124A MTH5130 MBA502 MGT 5380 ARCH 1261 F033800 20LLP109 ELE4009 FINANCIAL COMP3331 Computer ECE4179 20T3 COMP9311 COMP9311 UNSW MFIN6210 ACCT 5930 EE590 ENG2029 ECO100 SIT315 ACCT3610 COMP3600 STK2100 FIT2004 COMP30020 ACTL1101 Stat 101B BANA 200 COSC2473 ENGG1400 AI COMP90043 MMF 1914H PHYS 127 CS584 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MOEC0021 STA 106 ENGG 1300A ENGG 1300 OLET1139 STAT 3503 STAT 206 FEM11149 ELEN 4720 COMP20003 SOLA1070 CS574 C11CS LINB29H3 MAST90083 ECON7200 STAT 610 LINB29 DSM-5 COMP3161 EEEN40010 MATH 4431 K353 STA 3386 IERG4300 COMS W4167 ENG5298 AMME 2302 CS3910 COMPSCI 320 STATS 369 GR5242 COSC 328 CSCI435 MGTS1301 INFS2200 COMP3900 CIS 375 Module AE03 COMP3121 CS260 HAM503 MGMT5050 INT3075 COSC 285 GEOL0029 GEGE2X01 STAT1201 MATH1061 MMF1941H STAT 5060 CS 520 COMP 4320 MSIN0104 000T FINS3648 ECMT2160 ECON4003 Phys 129L CSE 142 CS 3130 MGEB01 EECS 340 Finance (20443/20444) ECMM149 COMP5310 EEEN60180 CSC 111 AT2 CSCI 4430 STAB57 MA/CSC 427 MATH322 D100 CSCI544 CITS3004 CI6227 CSE 565 APCO 1P01 852L1 ELEC S411F COMP3207 STATS330 ECON7530 FIT5149 CSI4104 CMPT 371 COMP201 SEHS4696 FI4003 MATH6182 CG1 WS MATH401 MGT 205 QTM 110 COMP 0137 MACE12201 FIT5210 ECE 544 BISM7206 HUDM 6055 ECON3203 STATS 210 MSCI 570 MATH6173 COMPSCI4039 Accounting COM3503 AOE2024 ECON213 PSYC10004 Control Data 100/200A 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