Table of Contents
Preface
..............................................................................2
1. Introduction ...................................................................5
2. Price Level ......................................................................7
3. Public Finance ..............................................................14
4. Foreign Trade.................................................................19
5. Monetary Aggregates and Indicators.................................25
6. Investment......................................................................28
7. Special Issues..................................................................32
8. Statistical Annexes..........................................................35

The Ethiopian Economic Association has
been publishing its “Annual Report on the Ethiopian Economy” since 2000. The annual
report, a flagship publication of the Association, provides an independent
analysis of the performance of the economy in addition to detailed discussions
on particular sectors chosen to be the focus area for the year. While that
report has served this purpose very well, it has two fundamental drawbacks. The
first is the fact that owing to lack of timely data, the analysis usually has a
two year lag period. This delay is bound to reduce the usefulness of the
analysis for immediate policy interventions. The second and related drawback is
that even if data is available on a timely basis, there is a lot of information
that annual data hides that can be available from shorter frequency data sets
such as monthly or quarterly data. While monthly data is almost non existent in
The availability of up-to-date data on a
regular basis along with a thorough analysis of this data is crucial to make an
informed and timely adjustment on major macroeconomic policies. Paucity of data
has rendered timely macroeconomic analysis in
Moreover, the importance of quarterly
performance can be judged by the fact that the annual economic performance is a
cumulative result of quarterly performances. A systematic concentration of
economic activities on some specific quarters provides useful information about
the nature of an economy, resource utilization and distribution.
Understanding such a pattern helps in
making informed policy interventions. Thus, it is very useful to systematically
compile, and analyze quarterly data on major macroeconomic indicators in the
country.
Towards this end, the Ethiopian Economic
Association/Ethiopian Economic Policy Research Institute is launching a
quarterly report on major macroeconomic indicators for
This report is part of the work of the
recently established Macroeconomic Division of the Institute. The establishment
of the Division is financially supported by a consortium of donors including Irish
Aid, the African Capacity Building Foundation (ACBF), the Department for
International Development of the United Kingdom (DFID), the Norwegian Agency
for International Development (NORAD), the Swedish International Development
Agency (SIDA), the Netherlands Embassy in
We also would like to thank various data
generating government institutions including the National Bank of
Berhanu
Nega (Ph. D)
Director,
Ethiopian Economic Policy Research Institute

Introduction
![]()
It is generally believed that in a well
developed capitalist economy, the economic performance of a country for two
consecutive quarters in a given fiscal year suffices to tell whether the
economy is in a recession or not. A timely determination of the health of the
economy allows policy makers to use the various policy instruments they have to
try and chart a more desirable course for the economy. Quarterly data also
provides important details about the performance of individual economic sectors
with seasonal variations. For example, in rain dependant agriculture such as
Some of the indicators considered in this
issue are brief. Future issues of this report will update the already available
information and will cover macroeconomic indicators in more detail. This maiden
report incorporates data and analysis on selected variables on quarterly time
series basis. In order to highlight some of the salient issues that emerge in a
quarterly data analysis and identify systematic trends, this report will
provide long term time series analysis on quarterly data. Moreover, it will take
some sectors for a more in depth discussion when particularly noteworthy events
occur in that sector during the quarter under analysis. Furthermore, future
reports will incorporate other indicators that are not covered in this issue as
the availability of data permits.
This report is divided in to seven
sections. The next section deals with price developments which is followed by
public finance in section three. Sections

Price Level
General Quarterly Trend
It is usually maintained that inflation in
It
is clear from the data that price levels in the country are heavily dictated by
food production. This is evidenced by the systematic association between the
price level and seasonal variation in crop production. The first quarter (July-
September), which is the rainy season in the country, is the planting period for
most food crops. During this period, there is a relative shortage of food as
peasants themselves are facing a depletion of their stock. As food comprises 60%
of the share in the basket of commodities in calculating the consumer price
index (CPI), the relative shortfall in food supply during this quarter results
in a relative rise in price levels compared to previous quarters.
The second quarter (October - December) is
a good period for food availability as crops reach their edible stage and as it
is harvest time in some areas. This quarter is also a period when farmers or
traders having accumulated stocks from the previous year start selling
especially if they expect that current harvest to be good. The third quarter
(January to March) is generally the period for farmers to complete harvesting.
Thus, price level in these two quarters is relatively low because of the
availability of crops. During this period, the terms of trade is in fact biased
against producers particularly because small holders, who dominate the
agricultural sector in the country, have to sell a significant portion of their
crop to settle their debts, which they incur in order to buy fertilizers and
other inputs.
The fourth quarter (April – June) is the dry
season. It is a period of intense tilling and crop stocks are depleted. Thus,
price starts to rise. In years of good belg
harvest, price levels become lower than the normal average.
As can be seen from Figures 2.1a and 2.1b,
quarterly price behavior is more of a supply-side phenomenon. The graph (2.1a)
shows the average national price level of each quarter for the period 1997/98
to 2002/03. It depicts that price levels, on average, are 2% higher in the
first and fourth quarters than in the second and third quarters. The respective
comparison rate for food index is 4%. A similar trend prevails for
The pattern that is observed above for the
six year average is consistent with the quarterly trend of prices during the
period 1997/98:Q1 to 2002/03:Q4 save for a few exceptional years. One such
exception is 2002/03 where prices showed an unusually upward trend due to the
catastrophic drought that occurred in the previous year. With this typical pattern maintained in other years, price levels
moved above the trend for the years 1998/99 and 1999/00 partly due to the
Ethio-Eritrean boarder conflict.

Figure 2.2: Quarterly Trends of Price Levels:
1997/98:Q1-2002/03:Q4
The six year average monthly price levels
show that prices start to sharply rise in July through August, begins to
decline in September, and reach their lowest level in December, which is
exactly the end of the harvest period. The price level starts to rise again after
December until it reaches the maximum at the end of the fourth quarter in June.

Figure
2-3: Monthly Trends of Prices (1997/98-2002/03)
INFLATION RATES
The national general price level has been
rising at an average (inflation) rate of 0.75% per quarter during the period
1997/98-2002/03, that is, for the last twenty four quarters. Price levels for
food and non-food items have been increasing at a quarterly rate of 1.1% and
0.1%, respectively. Food items, with a 60% share in the CPI, accounted for 95%
of the quarterly, and 87% of annual inflation.
Table
2.1a: Average Quarterly Inflation at a National Level
|
|
CPI |
Food |
Non-food |
|||
|
1997/98:I-2002/03:IV |
2002/03:I-IV |
1997/98:I-2002/03:IV |
2002/03: I-IV |
1997/98:I-2002/03:IV |
2002/03:I-IV |
|
|
Share
(weight) |
100 |
100 |
60.005 |
60.005 |
39.95 |
39.95 |
|
Inflation
Rate |
0.75 |
5.4 |
1.1 |
8.2 |
0.1 |
0.6 |
|
Weighted
inflation Rate |
0.74 |
5.2 |
0.7 |
5.0 |
0.04 |
0.23 |
|
Share
in inflation |
100 |
100 |
95 |
95.6 |
5 |
4.4 |
Source: Central Statistics Authority and
EEA/EEPRI staff computations.
As it is evidenced by Figure 2-4 below,
the price index for non-food items is relatively stable over the last 24
quarters. Any inflationary or deflationary pressure, if any, is more or less
associated with fluctuations in the food price index. This situation clearly
supports the view that price trends in

Figure
2-4: Trends in Quarterly Price Levels
In terms of price stability over the years,
the first quarter is found to be the most stable with a percentage change of
0.8% while the fourth quarter is found to be the most unstable with a
percentage change of 4.5%[1].
This indicates that inflationary trends are higher in the fourth quarter than
in other quarters. While inflation is heavily determined by availability of
food in general and crop production in particular, the high inflationary
pressure in the fourth quarter for successive years implies that the relative
shortage of food is dynamically deteriorating in the forth quarter. Some of the
fluctuation could be minimized with a comprehensive agricultural marketing
strategy that allows for smoothening out prices over the cycle.
Table 2.1b: Average Quarterly
Inflation for
|
|
CPI |
Food |
Non-food |
|||
|
1997/98:I-2002/03:IV |
2002/03:I-IV |
1997/98:I-2002/03:IV |
2002/03:I-IV |
1997/98:I-2002/03:IV |
2002/03:I-IV |
|
|
Share
(weight) |
100 |
100 |
||||