Preliminary Overview of the Economies of Latin America and the Caribbean 2007

Includes bibliography

Preliminary Overview of the Economies of Latin America and the Caribbean 2010

Includes bibliography

Economic Survey of Latin America and the Caribbean 2010-2011: Internacional integration and macroeconomic policy challenges amid global economic turmoil

Includes bibliography

From hard-peg to hard landing?: recent experiences of Argentina and Ecuador

Includes bibliography

Preliminary Overview of the Economies of Latin America and the Caribbean 1998

Includes bibliography.

Latin America: Total factor productivity and its components

This article applies the stochastic-frontier model to examine total factor productivity (tfp) and its components in Latin America between 1960 and 2010. The likelihood-ratio test shows that, for a selection of Latin American countries over the 50 years analysed, the macroeconomic variables of technical inefficiency included in the model generally have a significant effect; and they allow for a better understanding of technical inefficiency throughout the region. The key variables explaining technical inefficiency in the selected countries are public expenditure and the inflation rate; and there is also an inverse relation between technical inefficiency and the extent to which local prices diverge from purchasing power parity.

An assessment of the economic impact of climate change on the health sector In Jamaica

Climate change is a naturally occurring phenomenon in which the earth‘s climate goes through cycles of warming and cooling; these changes usually take place incrementally over millennia. Over the past century, there has been an anomalous increase in global temperature, giving rise to accelerated climate change. It is widely accepted that greenhouse gas emissions from human activities such as industries have contributed significantly to the increase in global temperatures. The existence and survival of all living organisms is predicated on the ability of the environment in which they live not only to provide conditions for their basic needs but also conditions suitable for growth and reproduction. Unabated climate change threatens the existence of biophysical and ecological systems on a planetary scale. The present study aims to examine the economic impact of climate change on health in Jamaica over the period 2011-2050. To this end, three disease conditions with known climate sensitivity and importance to Jamaican public health were modelled. These were: dengue fever, leptospirosis and gastroenteritis in children under age 5. Historical prevalence data on these diseases were obtained from the Ministry of Health Jamaica, the Caribbean Epidemiology Centre, the Climate Studies Group Mona, University of the West Indies Mona campus, and the Meteorological Service of Jamaica. Data obtained spanned a twelve-year period of 1995-2007. Monthly data were obtained for dengue and gastroenteritis, while for leptospirosis, the annual number of cases for 1995-2005 was utilized. The two SRES emission scenarios chosen were A2 and B2 using the European Centre Hamburg Model (ECHAM) global climate model to predict climate variables for these scenarios. A business as usual (BAU) scenario was developed using historical disease data for the period 2000-2009 (dengue fever and gastroenteritis) and 1995-2005 (leptospirosis) as the reference decades for the respective diseases. The BAU scenario examined the occurrence of the diseases in the absence of climate change. It assumed that the disease trend would remain unchanged over the projected period and the number of cases of disease for each decade would be the same as the reference decade. The model used in the present study utilized predictive empirical statistical modelling to extrapolate the climate/disease relationship in time, to estimate the number of climate change-related cases under future climate change scenarios. The study used a Poisson regression model that considered seasonality and lag effects to determine the best-fit model in relation to the diseases under consideration. Zhang and others (2008), in their review of climate change and the transmission of vector-borne diseases, found that: ―Besides climatic variables, few of them have included other factors that can affect the transmission of vector-borne disease….‖ (Zhang 2008) Water, sanitation and health expenditure are key determinants of health. In the draft of the second communication to IPCC, Jamaica noted the vulnerability of public health to climate change, including sanitation and access to water (MSJ/UNDP, 2009). Sanitation, which in its broadest context includes the removal of waste (excreta, solid, or other hazardous waste), is a predictor of vector-borne diseases (e.g. dengue fever), diarrhoeal diseases (such as gastroenteritis) and zoonoses (such as leptospirosis). In conceptualizing the model, an attempt was made to include non-climate predictors of these climate-sensitive diseases. The importance of sanitation and water access to the control of dengue, gastroenteritis and leptospirosis were included in the Poisson regression model. The Poisson regression model obtained was then used to predict the number of disease cases into the future (2011-2050) for each emission scenario. After projecting the number of cases, the cost associated with each scenario was calculated using four cost components. 1. Treatment cost morbidity estimate. The treatment cost for the number of cases was calculated using reference values found in the literature for each condition. The figures were derived from studies of the cost of treatment and represent ambulatory and non-fatal hospitalized care for dengue fever and gastroenteritis. Due to the paucity of published literature on the health care cost associated with leptospirosis, only the cost of diagnosis and antibiotic therapy were included in the calculation. 2. Mortality estimates. Mortality estimates are recorded as case fatality rates. Where local data were available, these were utilized. Where these were unavailable, appropriate reference values from the literature were used. 3. Productivity loss. Productivity loss was calculated using a human capital approach, by multiplying the expected number of productive days lost by the caregiver and/or the infected person, by GDP per capita per day (US$ 14) at 2008 GDP using 2008 US$ exchange rates. 4. No-option cost. The no-option cost refers to adaptation strategies for the control of dengue fever which are ongoing and already a part of the core functions of the Vector Control Division of the Ministry of Health, Jamaica. An estimated US$ 2.1 million is utilized each year in conducting activities to prevent the post-hurricane spread of vector borne diseases and diarrhoea. The cost includes public education, fogging, laboratory support, larvicidal activities and surveillance. This no-option cost was converted to per capita estimates, using population estimates for Jamaica up to 2050 obtained from the Statistical Institute of Jamaica (STATIN, 2006) and the assumption of one expected major hurricane per decade. During the decade 2000-2009, Jamaica had an average inflation of 10.4% (CIA Fact book, last updated May 2011). This average decadal inflation rate was applied to the no-option cost, which was inflated by 10% for each successive decade to adjust for changes in inflation over time.

Formation of Exchange Rates on the Russian Market: Dynamics and Modelling

Galina Kovaleva. The Formation of the Exchange Rate on the Russian Market: Dynamics and Modelling. The Russian financial market is fast becoming one of the major sectors of the Russian economy. Assets have been increasing steadily, while new market segments and new financial market instruments have emerged. Kovaleva attempted to isolate the factors influencing exchange rates, determine patterns in the dynamic changes to the rouble/dollar exchange rate, construct models of the processes, and on the basis of these activities make forecasts. She studied the significance of economic indicators influencing the rouble/dollar exchange rate at different times, and developed multi-factor econometric models. In order to reveal the inner structure of the financial indicators and to work out ex-post forecasts for different time intervals, she carried out a series of calculations with the aim of constructing trend-cyclical (TC) and harmonic models, and Box and Jenkins models. She found that: 1. The Russian financial market is dependant on the rouble/dollar exchange rate. Its dynamics are formed under the influence of the short-term state treasury notes and government bonds markets, interbank loans, the rouble/DM exchange rate, the inflation rate, and the DM/dollar exchange rate. The exchange rate is influenced by sales on the Moscow Interbank Currency Exchange and the mechanism of those sales. 2. The TC model makes it possible to conduct an in-depth study of the structure of the processes and to make forecasts of the dynamic changes to currency indicators. 3. The Russian market is increasingly influenced by the world currency market and its prospects are of crucial interest for the world financial community.

Monetary Policy Delegation, Contract Costs, and Contract Targets

We reconsider the optimal central banker contract derived in Walsh (1995). We show that if the government's objective function places weight (value) on the cost of the contract, then the optimal inflation contract does not completely neutralize the inflation bias. That is, a fraction of the inflation bias emerges in the resulting inflation rate after the central banker's monetary policy decision. Furthermore, the more concerned the government is about the cost of the contract or the less selfish (more benevolent) is the central banker, the smaller is the share of the inflation bias eliminated by the contract. No matter how concerned the government is about the cost of the contract or how unselfish (benevolent) the central banker is, the contract always reduces the inflationary bias by at least half. Finally, a central banker contract written in terms of output (i.e., incorporating an output target) can completely eradicate the inflationary bias, regardless of concerns about contract costs.

Crisis in Japan and the Way Out: A Counterargument to Pessimistic Views

This paper focuses on a review of the present state of, and outlook for the Japanese economy. The paper is composed of three parts. The first describes the interrelation between the crisis-ridden East Asian economies and Japan. I argue that Japan did not cause the Asian currency crisis. The second part describes the current state of the Japanese economy after the bubble burst. I also discuss the medium- and long-term challenges that face the Japanese economy. The third part concentrates on the issue of the "liquidity trap" Japan is experiencing. I argue that the yen's exchange rate is more likely to appreciate than depreciate by pumping liquidity into the economy while interest rates cannot be lowered any further, and therefore a "helicopter money" policy is the only way to induce a positive inflation rate and escape from the liquidity trap.

Do Foreign Currency Deposits Promote or Deter Financial Development in Low-Income Countries? An Empirical Analysis of Cross-Country Data

Foreign currency deposits (FCD) are prevalent in many low-income developing countries, but their impact on bank lending has rarely been examined. An examination of cross-country data indicates that a higher proportion of FCD in total deposits is associated with growth in private credit only in inflationary circumstances (over 24 percent of the annual inflation rate). FCD can lead to a decline in private credit below this threshold level of inflation. Given that FCD exhibit persistence, deregulating them in low-income countries may do more harm than good on financial development in the long term, notably after successful containment of inflation.

An Empirical Analysis of the Monetary Policy Reaction Function in India

This paper empirically analyzes India’s monetary policy reaction function by applying the Taylor (1993) rule and its open-economy version which employs dynamic OLS. The analysis uses monthly data from the period of April 1998 to December 2007. When the simple Taylor rule was estimated for India, the output gap coefficient was statistically significant, and its sign condition was found to be consistent with theoretical rationale; however, the same was not true of the inflation coefficient. When the Taylor rule with exchange rate was estimated, the coefficients of output gap and exchange rate had statistical significance with the expected signs, whereas the results of inflation remained the same as before. Therefore, the inflation rate has not played a role in the conduct of India’s monetary policy, and it is inappropriate for India to adopt an inflation-target type policy framework.

How has financial deepening affected poverty reduction in India? : empirical analysis using state-level panel data

This paper examines empirically whether financial deepening has contributed to poverty reduction in India. Using unbalanced panel data for 28 states and union territories between 1973 and 2004, we estimate models in which the poverty ratio is explained by financial deepening, controlling for international openness, inflation rate, and economic growth. From the dynamic generalised method of moments (GMM) estimation, we find that financial deepening and economic growth alleviate poverty, while international openness and the inflation rate have the opposite effect. These results are robust to changes in the poverty ratios in rural areas, urban areas, and the whole economy.

Estonia in the eurozone - a strategic success. OSW Commentary No. 53, 2011-06-20

The adoption of the euro in January 2011 topped off Estonia’s integration policy. In the opinion of Estonian politicians, this country has never been so secure and stable in its history. Tallinn sees the introduction of the euro primarily in the political context as an entrenchment of the Estonian presence in Europe. The process of establishing increasingly close relations with Western European countries, which the country has consistently implemented since it restored independence in 1991, has been aimed at severing itself its Soviet past and at a gradual reduction of the gap existing between Estonia and the best-developed European economies. The Estonian government also prioritises the enhancement of co-operation as part of the EU and NATO as well as its principled fulfilment of the country’s undertakings. It sees these as important elements for building the country’s international prestige. The meeting of the Maastricht criteria at the time of an economic slump and the adoption of the euro during the eurozone crisis proved the determination and efficiency of the government in Tallinn. Its success has been based on strong support from the Estonian public for the pro-European (integrationist) policy of Estonia: according to public opinion polls, approximately 80% of the country’s residents declare their satisfaction with EU membership, while support for the euro ranges between 50% and 60%. Since Estonia joined the OECD in 2010 and adopted the euro at the beginning of 2011, it has become the leader of integration processes among the Baltic states. The introduction of the euro has reinforced Estonia’s international image and made it more attractive to foreign investors. The positive example of this country may be used as a strong argument by the governments in Lithuania and Latvia when they take action to meet the Maastricht criteria. Vilnius and Riga claim they want to adopt the euro in 2014. The improving economic situation in the Baltic states will contribute to the achievement of this goal, while an excessively high inflation rate, as in 2007, may be the main impediment1.

A ship run aground Deepening problems in the Ukrainian economy. OSW Commentary Number 173, 16 June 2015

The drop in Ukraine’s GDP by nearly 18% in the first three months of 2015 (versus the corresponding period in 2014) has confirmed the decline of the country’s economy. Over the last 14 months, the Ukrainian currency was subject to an almost threefold devaluation against the US dollar, and in April 2015 the inflation rate was 61% (year-on-year), which exacerbated the impoverishment of the general public and weakened domestic demand. The main reason behind the crisis has been the destruction of heavy industry and infrastructure in the war-torn Donbas region, over which Kyiv no longer has control, as well as a sharp decline in foreign trade (by 24% in 2014 and by 34% in the first quarter of 2015), recorded primarily in trading volume with Ukraine’s major trade partner, i.e. Russia (a drop of 43%). The conflict has also had a negative impact on the production figures for the two key sectors of the Ukrainian economy: agriculture and metallurgy, which account for approximately 50% of Ukrainian exports. The government’s response to the crisis has primarily been a reduction in the costs of financing the Donbas and an increase in the financial burden placed on the citizens and companies of Ukraine. No radical reforms which would encompass the entire system, including anti-corruption reforms, have been carried out to stop the embezzlement of state funds and to facilitate business activity. The reasons for not initiating reforms have included the lack of will to launch them, Ukraine’s traditionally slow pace of bureaucratic action and growing dissonance among the parties making up the parliamentary coalition. The few positive changes, including marketisation of energy prices and sustaining budgetary discipline (in the first quarter of 2015, budgetary revenues grew by 25%, though partly as a result of currency devaluation), are being carried out under pressure from the International Monetary Fund, which is making the payment of further loan instalments to the tune of US$ 17.5 billion conditional upon reforms. Despite assistance granted by Western institutional donors and by individual states, the risk of Ukraine going bankrupt remains real. The issue of restructuring foreign debt worth US$ 15 billion has not been resolved, as foreign creditors who hold Ukrainian bonds have not consented to any partial cancellation of the debt. Whether Ukraine’s public finances can be stabilised will depend mainly on the situation in the east of the country and on the possible renewal of military action. It seems that the only way to rescue Ukraine’s public finances from deteriorating further is to continue to ‘freeze’ the conflict, to gradually implement wide-ranging reforms and to reach a consensus in negotiations with lenders.