Sunday, December 31, 2017
2016 Armenian Household Survey Released
The 2016 Household Integrated Living Conditions Survey was just released by Armstat. It is released in sav (SPSS) format only. I presume an xls version, perhaps an oversight, will follow soon.
Sunday, December 24, 2017
Happy Holidays
Շնորհավոր Նոր Տարի եւ Սուրբ Ծնունդ
Happy New Year and Merry Christmas
Sunday, October 15, 2017
Text of the EU Comprehensive and Extended Partnership Agreement with Armenia
Monday, October 09, 2017
Armenia 2015 Demographic and Health Survey released
Armenia's 2015-16 Demographic and Health Survey (DHS) was released recently.
The DHS program surveys are nationally-representative household surveys that provide data for a wide range of indicators in the areas of population, health, and nutrition.
The DHS program surveys over 90 countries. Surveys for Armenia are available for 2000, 2005, 2010, and 2015-16. These can be downloaded (registration is required) from here. Armenia country report, in pdf, using the latest data is available here.
The DHS program surveys are nationally-representative household surveys that provide data for a wide range of indicators in the areas of population, health, and nutrition.
The DHS program surveys over 90 countries. Surveys for Armenia are available for 2000, 2005, 2010, and 2015-16. These can be downloaded (registration is required) from here. Armenia country report, in pdf, using the latest data is available here.
Monday, July 31, 2017
Modeling international reserves composition: Armenian Economic Association workshop
International reserves composition: central banks, exchange rate targets and gold. Central Bank of Armenia, Dilijan, 11AM-1PM, August 2, 2017
Abstract:
This paper explores the composition of international reserves under an exchange rate target. The model allows for numerically calculating the shadow price – interpreted as the central bank’s sacrifice of policy precision given one more unit of portfolio variance – of the target exchange rate. The simulations indicate a two-regime demand for gold. The multiple equilibria results indicate that increasing the demand for gold from 0 to 21 percent shares of international reserves leads to a lower but unstable policy sacrifice. The next minimum sacrifice occurs approximately at around 40 to 60 percent of gold in the reserve portfolio. These results, therefore, indicate a wide range of possibilities for a central bank targeting the exchange rate to vary its demand for gold. Moreover, the results suggest that the ability to target the exchange rate is unaffected by the higher volatility of monthly returns on gold.
Location: Central Bank of Armenia, Dilijan, Armenia
Duration: 11AM-1PM
Registration is required for non-CBA staff per security. Please register at the following link and indicate whether you like to carpool to Dilijan:
https://docs.google.com/forms/d/e/1FAIpQLSfxLCdvPScCTB0V6hQCBdui5A62_x_OAqrNos7oDXUj--Q5HQ/viewform
About presenter: Aleksandr V. Gevorkyan is assistant professor at St. John’s University, NY. His recent book (co-editor with Otaviano Canuto) Financial Deepening and Post-Crisis Development in Emerging Markets was published by Palgrave MacMillan in 2016.This research is co-authored with Tarron Khemraj of New College of Florida and Central Bank of Barbados.
Visit: http://www.aea.am/Workshops.html
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Abstract:
This paper explores the composition of international reserves under an exchange rate target. The model allows for numerically calculating the shadow price – interpreted as the central bank’s sacrifice of policy precision given one more unit of portfolio variance – of the target exchange rate. The simulations indicate a two-regime demand for gold. The multiple equilibria results indicate that increasing the demand for gold from 0 to 21 percent shares of international reserves leads to a lower but unstable policy sacrifice. The next minimum sacrifice occurs approximately at around 40 to 60 percent of gold in the reserve portfolio. These results, therefore, indicate a wide range of possibilities for a central bank targeting the exchange rate to vary its demand for gold. Moreover, the results suggest that the ability to target the exchange rate is unaffected by the higher volatility of monthly returns on gold.
Location: Central Bank of Armenia, Dilijan, Armenia
Duration: 11AM-1PM
Registration is required for non-CBA staff per security. Please register at the following link and indicate whether you like to carpool to Dilijan:
https://docs.google.com/forms/d/e/1FAIpQLSfxLCdvPScCTB0V6hQCBdui5A62_x_OAqrNos7oDXUj--Q5HQ/viewform
About presenter: Aleksandr V. Gevorkyan is assistant professor at St. John’s University, NY. His recent book (co-editor with Otaviano Canuto) Financial Deepening and Post-Crisis Development in Emerging Markets was published by Palgrave MacMillan in 2016.This research is co-authored with Tarron Khemraj of New College of Florida and Central Bank of Barbados.
Visit: http://www.aea.am/Workshops.html
Follow on Facebook
Modeling Wealth Distributions: Armenian Economic Association workshop
Modeling Wealth Distributions, Central Bank of Armenia, Dilijan, 2-4PM, August 3, 2017
Abstract:
Today there are six people in the world who have as much combined wealth as half the human population. In 2010, that figure was 388, so we live in a world where wealth is rapidly concentrating. Understanding how and why this is happening, and what if anything needs to be done about it is an interdisciplinary problem that will ultimately involve mathematicians, economists, physicists, political scientists, and specialists in ethics, justice, and public policy.
In the 1990s, a number of physicists began to apply methods of statistical physics to the study of wealth and income distributions. Particular progress was made with a class of agent-based models called "asset-exchange models." These models represent an economy by a collection of economic agents who exchange wealth in pairwise transactions according to idealized rules.
In this talk, I shall describe recent results obtained using a very simple asset-exchange model with only three free parameters, all of which are motivated by particular features of the society's microeconomics. The first feature is a measure of the level of redistribution present. The second is the degree to which the society confers an advantage to wealthier agents. The third is a measure of the extent to which there are negative-wealth or "underwater" agents in the economy.
In spite of the simplicity of this model -- no advanced mathematics will be used for its description in this presentation -- we will see that it has a number of interesting features:
Finally, I shall relate the asset-exchange model described above to transactions between agents based on a stochastic version of General Equilibrium theory. In doing so, I will explain the origin of the widespread belief that free-market economies are inherently stable, even in the absence of imposed redistribution. I will also explain why this model strongly suggests that this belief is wrong.
Location: Central Bank of Armenia, Dilijan
Duration: 2-4PM
Registration is required for non-CBA staff per security. Please register at the following link and indicate whether you like to carpool to Dilijan:
https://docs.google.com/forms/d/e/1FAIpQLSd9Fr8PJdDg92UhTdJ5Bb-6uOv9B5aj6DhB_Baffm20Cmjgtw/viewform
About the presenter: Bruce Boghosian is a professor of mathematics at Tufts University, and President Emeritus of the American University of Armenia. His research on wealth distributions has appeared in, inter alia, Physical Review E, the Journal of Statistical Physics, and Physica A. For the convenience of CBA and AEA members, the most recent of these papers can be temporarily downloaded from the following address https://tufts.box.com/s/qx6a0bi3pv8y7xx955c18wk0j22ch9oq.
Visit: http://www.aea.am/Workshops.html
Follow on Facebook
Abstract:
Today there are six people in the world who have as much combined wealth as half the human population. In 2010, that figure was 388, so we live in a world where wealth is rapidly concentrating. Understanding how and why this is happening, and what if anything needs to be done about it is an interdisciplinary problem that will ultimately involve mathematicians, economists, physicists, political scientists, and specialists in ethics, justice, and public policy.
In the 1990s, a number of physicists began to apply methods of statistical physics to the study of wealth and income distributions. Particular progress was made with a class of agent-based models called "asset-exchange models." These models represent an economy by a collection of economic agents who exchange wealth in pairwise transactions according to idealized rules.
In this talk, I shall describe recent results obtained using a very simple asset-exchange model with only three free parameters, all of which are motivated by particular features of the society's microeconomics. The first feature is a measure of the level of redistribution present. The second is the degree to which the society confers an advantage to wealthier agents. The third is a measure of the extent to which there are negative-wealth or "underwater" agents in the economy.
In spite of the simplicity of this model -- no advanced mathematics will be used for its description in this presentation -- we will see that it has a number of interesting features:
- It is capable of explaining the actual wealth distribution of the United States between 1989 and the present with remarkable accuracy.
- It provides a natural explanation of the phenomenon of oligarchy, in which a finite fraction of a society's wealth is held by a vanishingly small fraction of its population.
- It relates useful economic metrics, such as "upward mobility," to the underlying transactional model.
Finally, I shall relate the asset-exchange model described above to transactions between agents based on a stochastic version of General Equilibrium theory. In doing so, I will explain the origin of the widespread belief that free-market economies are inherently stable, even in the absence of imposed redistribution. I will also explain why this model strongly suggests that this belief is wrong.
Location: Central Bank of Armenia, Dilijan
Duration: 2-4PM
Registration is required for non-CBA staff per security. Please register at the following link and indicate whether you like to carpool to Dilijan:
https://docs.google.com/forms/d/e/1FAIpQLSd9Fr8PJdDg92UhTdJ5Bb-6uOv9B5aj6DhB_Baffm20Cmjgtw/viewform
About the presenter: Bruce Boghosian is a professor of mathematics at Tufts University, and President Emeritus of the American University of Armenia. His research on wealth distributions has appeared in, inter alia, Physical Review E, the Journal of Statistical Physics, and Physica A. For the convenience of CBA and AEA members, the most recent of these papers can be temporarily downloaded from the following address https://tufts.box.com/s/qx6a0bi3pv8y7xx955c18wk0j22ch9oq.
Visit: http://www.aea.am/Workshops.html
Follow on Facebook
Friday, March 17, 2017
Trade Facilitation Agreement and Armenia
The World Trade Organization, the successor of GATT, has
finally achieved a major milestone since its formation 22 years ago. The Trade Facilitation Agreement (TFA), the first multilateral deal, entered into force on February
22, 2017 after two-thirds of its members ratified it. The TFA negotiations were
concluded at the WTO Bali Ministerial Conference in December of 2013 and the
WTO has been accepting notifications of ratification from its members since
November of 2014. The primary goals of TFA are to expedite the movement,
release and clearance of goods across borders, and implement trade facilitation
reforms across all countries through harmonization of customs procedures and
elimination of red tape. These factors were found to be the most important
component of trade costs, especially in developing countries. Developing countries
were also given more time to implement the TFA depending on their capacities. A
TFA Facility was established to provide assistance to developing countries in assessing
their needs for implementing TFA in the form of training and grants.
In addition to ratifying the agreement, the countries need
to submit a list of provisions they designate as Category A, B or C commitments,
with Category A commitments being immediately applied upon TFA’s entry into
force. For the other provisions of the Agreement, developing countries need to indicate
when these will be implemented and what capacity building support is needed to
help them implement.
Given the direct benefits from TFA to developing countries,
it comes as a surprise why Armenia, a
WTO member since 2002, has not yet ratified the agreement. There are some
indications that the discussions of the TFA ratification in the Armenian parliament had begun in February of 2017, more than three years after the
negotiations have been concluded.
Armenia’s major trading partners, the European Union and
Russia, have already ratified the TFA, so did five other former Soviet
republics (Georgia, Moldova, Kazakhstan, Kyrgyz Republic, and Ukraine). The
table below shows the various provisions the latter group of countries
designated as “Category A” commitments:
Provision
|
Heading/Description
|
Georgia
|
Kyrgyz Republic
|
Kazakhstan
|
Moldova
|
Ukraine
|
Article
1.1
|
Publication
|
A
|
A
|
A
|
||
Article
1.2
|
Information
Available through Internet
|
A
|
A
|
|||
Article
1.3
|
Enquiry
points
|
A
|
||||
Article
1.4
|
Notification
|
A
|
A
|
|||
Article
2.1
|
Opportunity
to Comment and Information Before Entry into Force
|
A
|
A
|
|||
Article
2.2
|
Consultations
|
A
|
||||
Article
3
|
Advance
Rulings
|
A
|
A
|
|||
Article
4
|
Procedures
for Appeal or Review
|
A
|
A
|
A
|
A
|
|
Article
5.1
|
Notification
for Enhanced Controls or Inspections
|
A
|
A
|
|||
Article
5.2
|
Detention
|
A
|
A
|
A
|
A
|
|
Article
5.3
|
Test
Procedures
|
A
|
A
|
|||
Article
6.1
|
General
Disciplines on Fees and Charges Imposed on or in Connection with Importation
and Exportation
|
A
|
A
|
|||
Article
6.2
|
Specific
Disciplines on Fees and Charges for Customs Processing Imposed on or in
Connection with Importation and Exportation
|
A
|
A
|
|||
Article
6.3
|
Penalty
Disciplines
|
A
|
A
|
|||
Article
7.1
|
Pre-arrival
Processing
|
A
|
A
|
A
|
||
Article
7.2
|
Electronic
Payment
|
A
|
A
|
|||
Article
7.3
|
Separation
of Release from Final Determination of Customs Duties, Taxes, Fees and
Charges
|
A
|
A
|
|||
Article
7.4
|
Risk
Management
|
A
|
A
|
A
|
A*
|
|
Article
7.5
|
Post-Clearance
Audit
|
A
|
A
|
A
|
||
Article
7.6
|
Establishment
and Publication of Average Release Times
|
A
|
||||
Article
7.7
|
Trade
Facilitation Measures for Authorized Operators
|
A
|
||||
Article
7.8
|
Expedited
Shipments
|
A
|
A
|
|||
Article
7.9
|
Perishable
Goods
|
A
|
A
|
A*
|
||
Article
8
|
Border
Agency Cooperation
|
A
|
A
|
A
|
A
|
|
Article
9
|
Movement
of Goods Intended for import under Customs Control
|
A
|
A
|
A
|
A
|
A
|
Article
10.1
|
Formalities
and Documentation Requirements
|
A
|
A
|
|||
Article
10.2
|
Acceptance
of Copies
|
A
|
A
|
|||
Article
10.3
|
Use
of International Standards
|
A
|
A
|
|||
Article
10.4
|
Single
Window
|
A
|
||||
Article
10.5
|
Pre-shipment
Inspection
|
A
|
A
|
A
|
A
|
|
Article
10.6
|
Use
of Customs Brokers
|
A
|
A
|
A
|
||
Article
10.7
|
Common
Border Procedures and Uniform Documentation Requirements
|
A
|
A
|
A
|
||
Article
10.8
|
Rejected
Goods
|
A
|
A
|
A
|
A*
|
|
Article
10.9
|
Temporary
Admission of Goods and Inward and Outward Processing
|
A
|
A
|
A
|
A
|
|
Art.
11.1-11.2
|
Freedom
of Transit
|
A
|
A
|
A
|
A
|
|
Art.
11.3-11.4
|
Freedom
of Transit
|
A
|
A
|
A
|
||
Art.
11.5
|
Freedom
of Transit
|
A
|
||||
Art.
11.6-11.8
|
Freedom
of Transit
|
A
|
A
|
|||
Article
11.9
|
Freedom
of Transit
|
A
|
A
|
|||
Art.
11.10
|
Freedom
of Transit
|
A
|
A
|
|||
Art.
11.11-11.12
|
Freedom
of Transit
|
A
|
A
|
A
|
||
Art.
11.13
|
Freedom
of Transit
|
A
|
A
|
|||
Art.
11.14-11.16
|
Freedom
of Transit
|
A
|
A
|
A
|
||
Art.
11.17
|
Freedom
of Transit
|
A
|
A
|
|||
Article
12
|
Customs
cooperation
|
A
|
A
|
|||
* except for Art.7.4.1, Art.7.4.2, Art.7.4.3, Art.7.9.1,
Art.7.9.2, Art.10.8.2
|
Source: compiled from www.tfafacility.org/notifications
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