Phillips Curve: The relationship between the rate of inflation and the unemployment rate

by Kevin D. Hoover

About the Author
The Phillips curve represents the relationship between the rate of inflation and the unemployment rate. Although he had precursors, A. W. H. Phillips’s study of wage inflation and unemployment in the United Kingdom from 1861 to 1957 is a milestone in the development of macroeconomics. Phillips found a consistent inverse relationship: when unemployment was high, wages increased slowly; when unemployment was low, wages rose rapidly.

The Assignment at the end of year for My Students Management 3A FEB UIN: Macroeconomics

The answers must be done before deadline at the latest 8.00 PM, Friday 31, December, 2010.
Untuk mencapai hasil yang memuaskan, belajar membutuhkan kesungguhan, semangat, dan pengorbanan yang tiada henti.
Keep your good mind.

The most famous scientist : Statisticians and Mathematicians

Mathematics Genealogy Project

A service of the NDSUDepartment of Mathematics, in association with theAmerican Mathematical Society.

Math Websites

• http://www.kolmogorov.com/ - Web page devoted to A.N. Kolmogorov
• http://www.math.msu.su/~manita/kaf/uch-kolm.gif - Kolmogorov School Spiral with list of PhD Students
• http://www.msri.org - Mathematical Sciences Research Institute
• http://www.ndsu.edu/ndsu/math/ - NDSU Department of Mathematics
• http://www.ms.uky.edu/~jrge/Rota/rota.html - Gian-Carlo Rota and his Students
• http://owpdb.mfo.de - Oberwolfach Photo Collection
• http://www.emis.de/ - European Mathematical Society

Miscellaneous Websites

• http://www.ndsu.edu/ - North Dakota State University
• http://www.atlasgeo.net/flags/Eindex.htm World Animated Flags Website

The OR Problems for My Students 3EA07

https://docs.google.com/viewer?a=v&pid=explorer&chrome=true&srcid=0B5idq0MHd0E9ZmY0Zjc4ZGYtYTQ3Ny00ZWU1LWFmZDItYWU5MjkxOGIwYjc4&hl=en
Selamat berdiskusi, jawabannya ditunggu paling lambat hari sabtu tanggal 25 Desember 2010 jam 10.00

FAQ: Fixed-, between-, and random-effects and xtreg

FAQ: Fixed-, between-, and random-effects and xtreg

Random Effect Model: share yolink

http://tinyurl.com/39d5kz3

Economics Search Engine

ESE uses a beta version of Google Custom Search Engine to search over 23,000 economics websites and utilizes yolink to mine results and retrieve actionable, keyword-rich content. Results can saved to Google Docs, bookmarked or shared via major social networks. Each site is certified by RFE, which is run by economists from RePec Author Services and EDIRC.

ESE offers a "Search Plugin" for Internet Explorer 7.0 and 8.0 as well as FireFox 2.x and 3.x users that allow you to initiate searches directly from a search box in your browser.

The search results from Google are enhanced by Yolink. Among other features, for every search result, you will see surrounding text from that page, so you can put the search results into context. One can also bookmark, e-mail, and share your search results. This feature can be turned on or off by clicking on the text under the search box.

I would like to thank Hal Varian for pointing out CSEs to me, as well as Othar Hansson and other Google employees for technical support. Thomas Krichel was instrumental for access to the RAS database.

Please contact Bill Goffe with any feedback you might have.

Fixed Effect Model: Panel Data Analysis

Fixed Effects Models (very important stuff) Because fixed effects models rely on within-group action, ... In the basic fixed effects model, the effect of each predictor variable (i.e., the slope) is... www.kellogg.northwestern.edu This concept of “before and after” offers some insight into the estimation of fixed effects models. Because fixed effects models rely on within-group action, you need repeated observations for each group,  and a reasonable amount of variation of your key X variables within each group. One potentially significant limitation of fixed effects models is that you cannot assess the effect of variables  that have little within-group variation. For example, if you want to know the effect of spectator sports  attendance on the demand for massages, you might not be able to use a fixedeffects model,  because sports attendance within a city does not vary very much from one year to the next.  If it is crucial that you learn the effectof a variable that does not show much within-group variation,  then you will have to forego fixed effects estimation. But this exposes you to potential omitted variable bias.  Unfortunately, there is no easy solution to this dilemma. Fixed effects regressions are very important because data often fall into categories such as  industries, states, families, etc. When you have data that fall into such categories,  you will normally want to control for characteristics of those categories that might affect the LHS variable.  Unfortunately, you can never be certain that you have all the relevant control variables,  so if you estimate a plain vanilla OLS model, you will have to worry about unobservable factors  that are correlated with the variables that you included in the regression.  Omitted variable bias would result. If you believe that these unobservable factors are time-invariant,  then fixed effects regression will eliminate omitted variable bias. More Results Available

Journal of applied probability

For over four decades, the Journal of Applied Probability has provided a forum for original research and reviews in applied probability. Its wide audience includes leading researchers in the many fields where stochastic models are used, including operations research, telecommunications, computer engineering, epidemiology, financial mathematics, information systems and traffic management.

Volume 47, Number 3

Publication Date: September 2010

One of the great men: Hadi Susanto

Hadi Susanto was born and grew up in Lumajang, East Java province of Indonesia. He was an undergraduate student (BSc 2001) at the Department of Mathematics of Bandung Institute of Technology, with a thesis study supervised byBarbera van de Fliert and Edy Soewono. He subsequently did his postgraduate studies (MSc 2003, PhD 2006) in theDepartment of Applied Mathematics of the University of Twente under the supervision of Stephan van Gils.

He then was Visiting Assistant Professor (Jan. 2006-Dec. 2007) at the Department of Mathematics and Statistics of theUniversity of Massachusetts, Amherst mentored by Panos Kevrekidis. Per 1 January 2008, he is Lecturer in Applied Mathematics at the School of Mathematical Sciences of the University of Nottingham. [more ...]

What's the differences between the big human and the great human

Berdasarkan ukuran kehidupan, manusia besar (big human) dapat dibedakan dengan manusia hebat (great human).  The big human adalah golongan manusia yang memiliki omong besar atau bermulut besar (big mouth), yang memiliki harta kekayaan yang melimpah ruah, yang memiliki nafsu keserakahan yang besar, yang memiliki kesombongan yang besar, yang memiliki kekuasaan untuk menjungkirbalikan fakta, yang memiliki kekuatan untuk menyingkirkan saingannya dengan cara kotor, yang memiliki daya magis membutakan manusia lainnya untuk menjadi manusia penjilat, yang memiliki kekuatan tipu daya, yang memiliki keinginan dipuja-puja dan disanjung-sanjung, dan yang memiliki..... (edit).  The great human adalah golongan manusia yang memiliki prestasi kehidupan memuliakan manusia lainnya, ia menjadi orang hebat dalam bentuk pemikiran keilmuannnya, ia menjadi orang hebat dalam bentuk pengabdiannya, ia menjadi orang hebat dalam bentuk kasih sayangnya terhadap sesama, ia menjadi orang hebat karena keteladannnya, ia menjadi orang hebat karena berjuang tanpa pamrih, ia menjadi orang hebat karena ia tidak mau menjadi orang besar.....(edit).
What's effects ?
The big human selalu menyusahkan manusia lainnya,  menyengsarakan manusia lainnya, merusak alam kehidupan manusia, merusak moral manusia lainnya, mengubah yang haram menjadi halal, memiskinkan manusia lainnya.... (edit).    The great human selalu mempermudah urusan orang lain, memberi manfaat bagi manusia lainnya, berprestasi untuk kemaslahatan kehidupan, tidak bernafsu untuk mencari kekuasaan, tidak memikirkan kepentingan dirinya sendiri, menonjolkan solidaritas sosial, menjunjung tinggi kejujuran, memelihara dan mempertahankan kebenaran yang sebenar-benarnya... (edit)
Think about its !
Kemacetan lalu lintas, siapa yang memicunya the big human or the great human?
Corruption, siapa yang melakukan the big human or the great human?
Kemiskinan, siapa yang memikirkan the big human or the great human?
Pengangguran, siapa yang memikirkannya the big human or the great human?
Kemewahan, siapa yang menjalaninya the big human or the great human?
Peraih Nobel Prize, the big human or the great human?
.... (edit)

Be a dollar maker through blog site

What are Ads by Google?

http://www.widgetbox.com/pricing/?show=widgets

Research Methods

The following pages have been designed to provide support for the methodology assignment in Dr. Ruth Palmquist's Introduction to Research in Library and Information Science class. The pages contain brief definitions of selected research methods, as well as helpful links and examples of studies in the respective methods, including bibliographies of useful print resources.

Research Methods by Syamsu Rizal

Materi Kuliah Metode Penelitian (sesi-1 dan sesi-2)

True American Dog: Justin Bieber Performs At Dad's Funeral

True American Dog: Justin Bieber Performs At Dad's Funeral

Working papers-Fernando Alvarez

Department of Economics
University of Chicago

Location: Chicago, Illinois (United States)
Homepage: http://economics.uchicago.edu/
Email: grad-econ@uchicago.edu
Phone:
Fax: 773/702-8490
Postal: 1126 East 59th Street, Chicago, Illinois 60637
Handle: RePEc:edi:deuchus (registered authors at this institution)

Top 10% authors in the field of Econometrics

This ranking is based on registered authors only, and only those who are classified within this field. Authors can register at theRePEc Author Service.

Rank	Score	Author
1.	1.23	James J. Heckman
2.	2.1	Peter C. B. Phillips
3.	3.46	M Hashem Pesaran
4.	5.17	Donald W. K. Andrews
5.	5.37	James H. Stock
6.	5.84	Robert F. Engle
7.	9.6	Pierre Perron
8.	9.83	Halbert White
9.	10.14	Clive W. J. Granger †
10.	10.97	Peter Nijkamp
11.	13.55	Manuel Arellano
12.	13.76	David F. Hendry
13.	13.99	James MacKinnon
14.	14.68	Kenneth D. West
15.	15.54	Tim Bollerslev
16.	16.76	Jushan Bai
17.	17.4	Michael McAleer
18.	17.91	Christopher Sims
19.	18.16	Gerard J. van den Berg
20.	18.94	Peter M. Robinson
21.	20.28	John Geweke
22.	21.29	William Arnold Barnett
23.	22.9	Guido Imbens
24.	24.75	Adrian Rodney Pagan
25.	25.03	Lars Peter Hansen
26.	25.87	Massimiliano Marcellino
27.	27.5	Andrew C. Harvey
28.	27.51	Oliver Bruce Linton
29.	28.42	Soren Johansen
30.	28.49	Peter Schmidt
31.	29.52	Serena Ng
32.	29.8	Francis X. Diebold
33.	30.81	Richard Blundell
34.	32.96	Arthur Lewbel
35.	33.12	Neil Shephard
36.	33.46	Russell Davidson
37.	34.56	Lucrezia Reichlin
38.	35.09	Jean-Marie Dufour
39.	35.73	Graham Elliott
40.	35.85	Wolfgang Karl Härdle
41.	36.05	Marc Nerlove
42.	37.46	Richard J. Smith
43.	39.27	Christian S. Gourieroux
44.	41.82	Lawrence J. Christiano
45.	42.1	Neil R. Ericsson
46.	43.07	Badi H. Baltagi
47.	45.2	Timo Teräsvirta
48.	46.17	James Hamilton
49.	46.33	Joshua D Angrist
50.	47.03	Yacine Ait-Sahalia
51.	50.37	Torben G. Andersen
52.	50.52	Stephen Roy Bond
53.	51.26	Allan Timmermann
54.	51.58	Michael Peter Clements
55.	53.3	Gary Koop
56.	54.13	Werner Ploberger
57.	54.65	Leslie George Godfrey
58.	55.82	Andrew Chesher
59.	57.63	Steven Berry
60.	57.96	Helmut Lütkepohl
61.	59.66	Todd Clark
62.	60.89	Martin Browning
63.	64.04	Mario Forni
64.	64.42	Cheng Hsiao
65.	64.86	Marc Hallin
66.	65.98	Kenneth Frank Wallis
67.	66.95	Ole E. Barndorff-Nielsen
68.	69.1	Robert Taylor
69.	70.53	Allan W. Gregory
70.	71.96	Frank Schorfheide
71.	72.6	Lutz Kilian
72.	73.83	Marco Lippi
73.	74.63	Norman Rasmus Swanson
74.	74.89	Mark Steel
75.	75.06	Timothy Vogelsang
76.	75.51	Enrique Sentana
77.	76.72	Atsushi Inoue
78.	77.41	James E. H. Davidson
79.	78.97	Chihwa Kao
80.	79.08	Alastair Hall
81.	79.46	Fabio Canova
82.	81.18	Eric Ghysels
83.	81.5	Richard T. Baillie
84.	82.1	Leopold Simar
85.	82.48	Hidehiko Ichimura
86.	83.03	Frank Windmeijer
87.	84.33	Frank Kleibergen
88.	85.91	Siem Jan Koopman
89.	87.03	Elie Tamer
90.	87.9	Carlos Velasco
91.	89.57	Peter Reinhard Hansen
92.	93	Edward Vytlacil
93.	93.77	Roberto S. Mariano
94.	93.88	Robert F. Stambaugh
95.	95.26	Steven N. Durlauf
96.	96.14	Michael McCracken
97.	96.4	Luc Bauwens
98.	96.46	Jay Shanken
99.	97.36	Aman Ullah
100.	99.17	Thomas Lemieux
101.	100.04	Han Hong
102.	100.81	Victor Chernozhukov
103.	102.03	Alberto Abadie
104.	105.3	Geert Ridder
105.	106.93	Kenneth Train
106.	107.94	Adonis Yatchew
107.	108.79	Agustin Maravall
108.	110.81	Alain Monfort
109.	111.1	Eric Zivot
110.	111.3	Nelson C. Mark
111.	113.21	Douglas Kenneth Pearce
112.	113.54	Jan F. Kiviet
113.	116.05	Jesus Gonzalo
114.	118.2	Marcus J. Chambers
115.	121.34	Jean-Michel Zakoian
116.	121.98	Jeffrey Scott Racine
117.	122.15	Domenico Giannone
118.	123.72	Bent Nielsen
119.	124.04	James McDonald
120.	125.5	Donggyu Sul
121.	126.93	Masao Ogaki
122.	127.47	Terry J Fitzgerald
123.	128.29	Hyungsik Roger Moon
124.	130.08	Andrew Patton
125.	130.36	Chris D Orme
126.	131.31	Marcelo J. Moreira
127.	131.48	Tommaso Proietti
128.	131.65	William A. Brock
129.	132.88	Keisuke Hirano
130.	133.48	Willard G. Manning
131.	134.19	Herman K. van Dijk
132.	134.53	Don Harding
133.	134.86	João M.C. Santos Silva
134.	136.29	Giorgio Calzolari
135.	137.05	Zhijie Xiao
136.	137.14	Richard Startz
137.	137.94	Kevin D. Hoover
138.	140.26	Kajal Lahiri
139.	141.13	Robert J. Kohn
140.	144.43	Mehmet Caner
141.	144.91	Simon Potter
142.	145.58	Jonathan H. Wright
143.	146.86	Asger Lunde

SYAMSU RIZAL BLOG: Munich Personal RePEc Archive

SYAMSU RIZAL BLOG: Munich Personal RePEc Archive

SYAMSU RIZAL BLOG

SYAMSU RIZAL BLOG

List of Mathematics Journals Cambridge

Mathematics

•   Acta Numerica
•   The ANZIAM Journal
•   Bulletin of the Australian Mathematical Society
•   Combinatorics, Probability and Computing
•   Compositio Mathematica
•   Econometric Theory
•   Ergodic Theory and Dynamical Systems
•   European Journal of Applied Mathematics
•   Glasgow Mathematical Journal
•   Journal of the Australian Mathematical Society
•   Journal of Fluid Mechanics
•   Journal of the Institute of Mathematics of Jussieu
•   Journal of K-Theory
•   LMS Journal of Computation and Mathematics
•   Mathematical Proceedings of the Cambridge Philosophical Society
•   Mathematical Structures in Computer Science
•   Mathematika
•   Probability in the Engineering and Informational Sciences
•   Proceedings of the Edinburgh Mathematical Society
•   Proceedings of the Royal Society of Edinburgh: Section A Mathematics
•   The Review of Symbolic Logic