Friday, December 31, 2010

Departement of Geography UNIVERSITY OF CAMBRIDGE

Department of Geography, University of Cambridge
http://www.geog.cam.ac.uk/graduate/
http://www.geog.cam.ac.uk/undergraduate/

About Geography at Cambridge

Geography has a long tradition at Cambridge. The first University Lecturer in Geography was appointed in 1888, the first Reader in 1898. Teaching was initially for a special examination leading to a diploma in geography. The Geographical Tripos - the examination for a B.A. degree - was established in 1919. In 1931 the first Professor was appointed and in 1933 the Department moved into its own accommodation. That building, which now constitutes the eastern end of the Department, was considerably extended in the 1930s, with the construction of new lecture theatres and laboratories. In the 1980s, the building was further extended with the addition of a top floor to provide a new laboratory for computing, remote sensing and geographical information systems. In 1999 the Department expanded again, to occupy two floors in an adjacent building where new laboratories, seminar rooms and offices are housed.
Since then, the Unit for Landscape Modelling has become a research unit within the Department (2000); the Cambridge Group for the History of Population and Social Structure has been integrated into the teaching and research activities of the Department (2001) and the Scott Polar Research Institute has become a sub-department (2002). Today, the Department has 35 academic staff including ten Professors and four Readers.
The Department of Geography today is a flourishing and expanding academic community committed to high standards of research. The questions we ask, the philosophies and methodologies we draw upon, embrace the natural and social sciences as well as the humanities. Research is represented by our main research clusters and our work brings us into contact and collaboration with many other disciplines to address the challenges of a changing world.
Undergraduate teaching has continued to evolve in response to new challenges in the subject and in recent years, the Department's commitment to research-led teaching has expanded to include a range of Masters courses.
Geography has been researched and taught at Cambridge for more than a century; during that time both the world and geography have changed immensely. Geography at Cambridge has a remarkable tradition and also a great future.

Departement of Geography FLORIDA STATE UNIVERSITY

fsu sealFlorida State University


About Geography at FSU


Welcome to the Department of Geography at FSU!
We are a resourceful and dynamic group of 9 faculty, 2 emeritus professors, 2 teaching instructors, 2 staff, 61 graduate students pursuing master’s and doctoral programs, and around 160 undergraduate majors in geography and environmental studies.
Founded in 1925, the discipline of geography at FSU to us is the understanding and measuring of the spatial representation of people, cities, the landscape and the atmosphere for explaining our rapidly changing world and developing public policy.
We investigate all aspects of geography but we especially pride ourselves on focusing on analytical methodologies usinggeographic information science and other statistical techniques, and on concentrating on human-environmental interactions and changes.

Departemet of Geography-MICHIGAN STATE UNIVERSITY

Michigan State University

Academic Programs
The Department of Geography offers B.A., B.S., M.S., and Ph.D. degree programs.
Undergraduate Degree Programs
Bachelor of Arts in Geography
Bachelor of Science in Geography
Bachelor of Science in Geographic Information Science
Undergraduate Handbook
Graduate Degree Programs
General Graduate Degree Information
Master of Science in Geography
Master of Science in Geographic Information Science
Doctor of Philosophy in Geography
Graduate Handbook 2009-2010 (344 KB, PDF)
          Graduate Handbook 2008-2009 (163 KB, PDF)
          Graduate Handbook 2007-2008 (236 KB, PDF)
          Graduate Handbook 2006-2007 (209 KB, PDF)

http://www.geo.msu.edu/images/advancingknowledge.gif

Monday, December 27, 2010

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, December, 2010.
Untuk mencapai hasil yang memuaskan, belajar membutuhkan kesungguhan, semangat, dan pengorbanan yang tiada henti.
Keep your good mind.

Friday, December 24, 2010

A Dynamic “Fixed Effects” Model for Heterogeneous Panel Data

Author: Diana Weinhold (London School of Economics)

abstract:
This paper introduces a dynamic panel data model in which the intercepts and
the coefficients on the lagged endogenous variables are specific to the cross section units,
while the coefficients on the exogenous variables are assumed to be normally distributed
across the cross section. Thus the model includes mixture of fixed coefficients and
random coefficients, which I call the “MFR” model. The paper shows that this model has
several desirable characteristics. In particular, the model allows for a considerable degree
of heterogeneity across the cross section both in the dynamics and in the relationship
between the independent and dependent variables. Estimation of the MFR model
produces an estimate of the variance of the coefficients across the cross section units
which can be used as a diagnostic tool to judge how widespread a relationship is and
whether pooling of the data is appropriate. In addition, unlike LSDV estimation of
dynamic panel models, the MFR model does not produce severely biased estimates when
T is small.

FIXED EFFECTS MODEL

Some examples for FEM

Thursday, December 23, 2010

The OR Problems for My Students 3EA07

Selamat berdiskusi, jawabannya ditunggu paling lambat Sabtu tanggal 25 Desember 2010 jam 10.00

Tuesday, December 21, 2010

NATIONAL BUREAU OF ECONOMIC RESEARCH (NBER)

Founded in 1920, the National Bureau of Economic Research is a private, nonprofit, nonpartisan research organization dedicated to promoting a greater understanding of how the economy works. The NBER is committed to undertaking and disseminating unbiased economic research among public policymakers, business professionals, and the academic community.
Over the years the NBER's research agenda has encompassed a wide variety of issues that confront our society. Early research focused on the aggregate economy, examining in detail the business cycle and long-term economic growth. Simon Kuznets' pioneering work on national income accounting, Wesley Mitchell's influential study of the business cycle, and Milton Friedman's research on the demand for money and the determinants of consumer spending were among the early studies done at the NBER.

The NBER is the nation's leading nonprofit economic research organization. Eighteen of the 33 American Nobel Prize winners in Economics and six of the past Chairmen of the President's Council of Economic Advisers have been researchers at the NBER. The more than 1,000 professors of economics and business now teaching at colleges and universities in North America who are NBER researchers are the leading scholars in their fields. These Bureau associates concentrate on four types of empirical research: developing new statistical measurements, estimating quantitative models of economic behavior, assessing the economic effects of public policies, and projecting the effects of alternative policy proposals.
The NBER is governed by a Board of Directors with representatives from the leading U.S. research universities and major national economics organizations. Other prominent economists from business, trade unions, and academe also sit on the Bureau's Board. James Poterba is the NBER's President and Chief Executive Officer. In addition to the Research Associates and Faculty Research Fellows, the Bureau employs a support staff of 45. The Bureau's main office is in Cambridge, Massachusetts. It has a branch office in New York City.


Measuring the Economic Effect of Global Warming on Viticulture Using Auction, Retail, and Wholesale Prices

NBER Working Paper No. 16037
Issued in May 2010
NBER Program(s):   EEE   IO   CH 
In this paper we measure the effect of year to year changes in the weather on wine prices and winery revenue in the Mosel Valley in Germany in order to determine the effect that climate change is likely to have on the income of wine growers. A novel aspect of our analysis is that we compare the estimates based on auction, retail, and wholesale prices.
Although auction prices are based on actual transactions, they provide a thick market only for high quality, expensive wines and may overestimate climate’s effect on farmer revenues. Wholesale prices, on the other hand, do provide broad coverage of all wines sold and probably come closest to representing the revenues of farmers. Overall, we estimate a 1°C increase in temperature would yield an increase in farmer revenue of about 30 percent.
Published: Orley Ashenfelter & Karl Storchmann, 2010. "Measuring the Economic Effect of Global Warming on Viticulture Using Auction, Retail, and Wholesale Prices," Review of Industrial Organization, Springer, vol. 37(1), pages 51-64, August.

Monday, December 20, 2010

The Evolution of the Human

The universe is constructed from a multitude of various materials. It is dynamic in form and shape due to a multitude of various processes and interactions between these materials. To the human, however, in his need to establish his place and purpose in the universe, the most important material is biological and the most important process is evolution, far it is only here that the human can learn to understand himself, an understanding that is vital to his survival.
Wise men, psychologists, philosophers and theologians have surmised and conjectured about the human over the centuries, and still do, but the truth about the human may be found only through factual knowledge. That factual knowledge lies in a process called evolution. The human is what evolution made him. 



The earliest fossil hominid, Ardipithecus ramidus, is a recent discovery. It is dated at 4.4 million years ago. The remains are incomplete but enough is available to suggest it was bipedal and about 4 feet tall. Other fossils were found with the ramidus fossil which would suggest that ramidus was a forest dweller. A new skeleton was recently discovered which is about 45% complete. It is now being studied.
A new species, Australopithecus anamensis, was named in 1995. It was found in Allia Bay in Kenya.Anamensis lived between 4.2 and 3.9 million years ago. Its body showed advanced bipedal features, but the skull closely resembled the ancient apes.
Australopithecus afarensis lived between 3.9 and 3.0 million years ago. It retained the apelike face with a sloping forehead, a distinct ridge over the eyes, flat nose and a chinless lower jaw. It had a brain capacity of about 450 cc. It was between 3'6" and 5' tall. It was fully bipedal and the thickness of its bones showed that it was quite strong. Its build (ratio of weight to height) was about the same as the modern human but its head and face were proportionately much larger. This larger head with powerful jaws is a feature of all species prior to Homo sapiens sapiens.
Australopithecus africanus was quite similar to afarensis and lived between three and two million years ago. It was also bipedal, but was slightly larger in body size. Its brain size was also slightly larger, ranging up to 500 cc. The brain was not advanced enough for speech. The molars were a little larger than in afarensis and much larger than modern human. This hominid was a herbivore and ate tough, hard to chew, plants. The shape of the jaw was now like the human.
Australopithecus aethiopicus lived between 2.6 and 2.3 million years ago. This species is probably an ancestor of the robustus and boisei. This hominid ate a rough and hard to chew diet. He had huge molars and jaws and a large sagittal crest. A sagittal crest is a bony ridge on the skull extending from the forehead to the back of the head. Massive chewing muscles were anchored to this crest. See the opening picture of an early Homo habilis for an example. Brain sizes were still about 500cc, with no indication of speech functions.
Australopithecus robustus lived between two and 1.5 million years ago. It had a body similar to that ofafricanus, but a larger and more massive skull and teeth. Its huge face was flat and with no forehead. It had large brow ridges and a sagittal crest. Brain size was up to 525cc with no indication of speech capability.
Australopithecus boisei lived between 2.1 and 1.1 million years ago. It was quite similar to robustus, but with an even more massive face. It had huge molars, the larger measuring 0.9 inches across. The brain size was about the same as robustus. Some authorities believe that robustus and boisei are variants of the same species.
Homo habilis was called the handy man because tools were found with his fossil remains. This species existed between 2.4 and 1.5 million years ago. The brain size in earlier fossil specimens was about 500cc but rose to 800cc toward the end of the species life period. The species brain shape shows evidence that some speech had developed. Habilis was about 5' tall and weighed about 100 pounds. Some scientists believe that habilis is not a separate species and should be carried either as a later Australopithecine or an early Homo erectus. It is possible that early examples are in one species group and later examples in the other.
Homo erectus lived between 1.8 million and 300,000 years ago. It was a successful species for a million and a half years. Early examples had a 900cc brain size on the average. The brain grew steadily during its reign. Toward the end its brain was almost the same size as modern man, at about 1200cc. The species definitely had speech. Erectus developed tools, weapons and fire and learned to cook his food. He traveled out of Africa into China and Southeast Asia and developed clothing for northern climates. He turned to hunting for his food. Only his head and face differed from modern man. Like habilis, the face had massive jaws with huge molars, no chin, thick brow ridges, and a long low skull. Though proportioned the same, he was sturdier in build and much stronger than the modern human.
Homo sapiens (archaic) provides the bridge between erectus and Homo sapiens sapiens during the period 200,000 to 500,000 years ago. Many skulls have been found with features intermediate between the two. Brain averaged about 1200cc and speech was indicated. Skulls are more rounded and with smaller features. Molars and brow ridges are smaller. The skeleton shows a stronger build than modern human but was well proportioned.
Homo sapiens neandertalensis lived in Europe and the Mideast between 150,000 and 35,000 years ago. Neandertals coexisted with H.sapiens (archaic) and early H.sapiens sapiens. It is not known whether he was of the same species and disappeared into the H.sapiens sapiens gene pool or he may have been crowded out of existence (killed off) by the H.sapien sapien. Recent DNA studies have indicated that the neandertal was an entirely different species and did not merge into the H. sapiens sapiens gene pool. Brain sizes averaged larger than modern man at about 1450cc but the head was shaped differently, being longer and lower than modern man. His nose was large and was different from modern man in structure. He was a massive man at about 5'6" tall with an extremely heavy skeleton that showed attachments for massive muscles. He was far stronger than modern man. His jaw was massive and he had a receding forehead, like erectus.
Homo sapiens sapiens first appeared about 120,000 years ago. Modern humans have an average brain size of about 1350 cc.


URL: http://www.onelife.com/evolve/manev.html

Sunday, December 19, 2010

American Journal of Epidemiology

Marginal Structural Models for Analyzing Causal Effects of Time-dependent Treatments: An Application in Perinatal Epidemiology

  1. Lisa M. Bodnar1,2
  2. Marie Davidian3
  3. Anna Maria Siega-Riz1,2,4 and
  4. Anastasios A. Tsiatis3
+Author Affiliations
  1. 1 Department of Nutrition, School of Public Health and School of Medicine, University of North Carolina, Chapel Hill, NC.
  2. 2 Carolina Population Center, University of North Carolina, Chapel Hill, NC.
  3. 3 Department of Statistics, North Carolina State University, Raleigh, NC.
  4. 4 Department of Maternal and Child Health, School of Public Health, University of North Carolina, Chapel Hill, NC.

    Abstract

    Marginal structural models (MSMs) are causal models designed to adjust for time-dependent confounding in observational studies of time-varying treatments. MSMs are powerful tools for assessing causality with complicated, longitudinal data sets but have not been widely used by practitioners. The objective of this paper is to illustrate the fitting of an MSM for the causal effect of iron supplement use during pregnancy (time-varying treatment) on odds of anemia at delivery in the presence of time-dependent confounding. Data from pregnant women enrolled in the Iron Supplementation Study (Raleigh, North Carolina, 1997–1999) were used. The authors highlight complexities of MSMs and key issues epidemiologists should recognize before and while undertaking an analysis with these methods and show how such methods can be readily interpreted in existing software packages, including SAS and Stata. The authors emphasize that if a data set with rich information on confounders is available, MSMs can be used straightforwardly to make robust inferences about causal effects of time-dependent treatments/exposures in epidemiologic research.
    http://aje.oxfordjournals.org/


    A multiscaling test of causality effects among international stock markets


    Authors:Cheng ZhangDepartment of Accounting and Finance, Monash University, Victoria, Australia
    Francis InDepartment of Accounting and Finance, Monash University, Victoria, Australia
    Alan FarleyDepartment of Accounting and Finance, Monash University, Victoria, Australia



    This paper investigates the causal links between the world's largest stock markets, namely the U.S. market, the U.K. market, and the Japanese market, over various time horizons. The major innovation of this paper is to apply the wavelet multiscaling method into the study of the international stock market linkage. The main empirical results from the wavelet multiscaling method support three conclusions. First, there is a significant bi-directional causal effect among the three markets when viewed in terms of high frequency behavior. Second, no consistent causality effects are observed in the frequency of 16 days, which we can view approximately as monthly data, between all three major stock markets. This empirical finding implies that the three major stock markets are strongly connected in their daily or weekly returns, while in the monthly returns level, there does not exist a consistent causality effect. Third, the empirical evidence we provide supports the findings of Ramsey & Lampart (1998) and Gencay et. al. (2002) that there is not one global causality relation prevailing over all time scales.


    Useful downloads:
      Adobe Acrobat     QuickTime     Windows Media Player     Real Player

    Probability and Causality: Theory

    Probability and Causality: Theory http://www.causal-effects.de/

    Rolf Steyer, Ivailo Partchev, Ulf Kröhne, Benjamin Nagengast & Christiane Fiege.
    In this book, we present the theory of causal effects in experiments and quasi-experiments. This book is entirely devoted to the theory of causal effects, although brief remarks will hint at the implications of the theory for design and analysis of experiments and quasi-experiments. We plan to cover the design and analysis of causal effects in depth in a sequel to the present book.

    Jena University

    Saturday, December 18, 2010

    Here are the incredible photos. Get it !


    http://picasaweb.google.com/lh/explore#utm_medium=embed&utm_source=pwalogin

    The World Class of Famous Scientiest

    Econometric Authors Articles and Papers Links Econometrics 

    Top 10% authors in the field of Econometric Time SeriesRankScoreAuthor1.1.24Peter C. B. Phillips2.1.85M Hashem Pesaran3.3.17Robert F. Engle4.6.16Tim Bollerslev5.6.94Pierre Perron6.8.5Clive W. J. Granger †7.9.18James H. Stock8.10.32Donald W. K. Andrews9.10.78Michael McAleer10.11.71Thomas J. Sargent11.11.79Lars Peter Hansen12.12.05Christopher Sims13.12.14Jushan Bai14.13.05David F. Hendry15.14.37Halbert White16.14.75Francis X. Diebold17.15.67Ben S. Bernanke18.16.57Massimiliano Marcellino19.17.23Peter M. Robinson20.19Soren Johansen21.19.29Kenneth D. West22.20.58Serena Ng23.22.79Marc Nerlove24.22.89Timo Teräsvirta25.22.97Andrew C. Harvey26.24.41Graham Elliott27.24.48Wolfgang Karl Härdle28.25.37Torben G. Andersen29.25.39Neil Shephard30.26.5James Hamilton31.26.68Lawrence J. Christiano32.29.15J. Scott Armstrong33.33.37Adrian Rodney Pagan34.35.07Robert Taylor35.35.15Manuel Arellano36.35.41Yacine Ait-Sahalia37.35.76Todd Clark38.35.86Allan Timmermann39.36.34Helmut Lütkepohl40.36.6Christian S. Gourieroux41.37.94Stephen Roy Bond42.37.97Lucrezia Reichlin43.39.95George Tauchen44.40.53Richard T. Baillie45.40.63John Geweke46.41.16Lutz Kilian47.47.01Gary Koop48.49.11Michael Peter Clements49.51.64Neil R. Ericsson50.51.86Cheng Hsiao51.52.65Ole E. Barndorff-Nielsen52.54.76James MacKinnon53.54.95Charles H. Whiteman54.56.08Michael McCracken55.56.49Norman Rasmus Swanson56.56.55Chang-Jin Kim57.57.52Eric Ghysels58.59.44Carlos Velasco59.60.14Sam Ouliaris60.60.4Donggyu Sul61.60.86Siem Jan Koopman62.61.35Peter E. Rossi63.61.78Roberto S. Mariano64.62.46Luis Alberiko Gil-Alana65.62.6Jean-Marie Dufour66.62.89Atsushi Inoue67.64.18Kenneth Frank Wallis68.70.09Nelson C. Mark69.70.36Simon Potter70.72.17Chihwa Kao71.72.67Richard J. Smith72.73.09David H. Papell73.74.53Timothy Vogelsang74.74.96Jean-Michel Zakoian75.76.09Zhijie Xiao76.76.73Luc Bauwens77.79.19Masao Ogaki78.82.33Jonathan H. Wright79.82.35Morten Ørregaard Nielsen80.82.47Peter Reinhard Hansen81.85.82Marcus J. Chambers

    Journal http://www.feweb.vu.nl/econometriclinks/authors/