The impact of climate change on the tourism sector in the Caribbean

The main aim of this study is to estimate the economic impact of climate change on nine countries in the Caribbean basin: Aruba, Barbados, Dominican Republic, Guyana, Jamaica, Montserrat, Netherlands Antilles, Saint Lucia and Trinidad and Tobago. A typical tourism demand function, with tourist arrivals as the dependent variable, is used in the analysis. To establish the baseline, the period under analysis is 1989-2007 and the independent variables are destination country GDP per capita and consumer price index, source country GDP, oil prices to proxy transportation costs between source and destination countries. At this preliminary stage the climate variables are used separately to augment the tourism demand function to establish a relationship, if any, among the variables. Various econometric models (single OLS models for each country, pooled regression, GMM estimation and random effects panel models) were considered in an attempt to find the best way to model the data. The best fit for the data (1989-2007) is the random effects panel data model augmented by both climate variables, i.e. temperature and precipitation. Projections of all variables in the model for the 2008-2100 period were done using forecasting techniques. Projections for the climate variables were undertaken by INSMET. The cost of climate change to the tourism sector was estimated under three scenarios: A2, B2 and BAU (the mid-point of the A2 and B2 scenarios). The estimated costs to tourism for the Caribbean subregion under the three scenarios are all very high and ranges from US$43.9 billion under the B2 scenario to US$46.3 billion under the BAU scenario.

Questionnaire and survey methodology. Saint Lucia: Survey of living condition and household budgets 2005/2006

This manual documents some of the material related to the Survey of Living Conditions and Household Budgets (SLC/HBS) conducted in Saint Lucia by the Kairi Consultants Limited and National Assessment Team between 2005 and 2006. The SLC/HBS is a sample survey which generates data on households and individuals in the country. The main objectives of this survey were (i) to collect information from households on their expenditure patterns, income and other characteristics and; (ii) to revise the 'average shopping basket' used in constructing the Consumer Price Index (CPI) for the country, and the relative weights of the items in the basket. The survey also provided valuable data for an assessment of the impact of socio-economic policies on the living conditions of the resident population in Saint Lucia. Further, data on households gathered in the survey also provide valuable inputs for the compilation of the country's National Accounts statistics relating to the household sector. This manual was developed by the Economic Commission for Latin America and the Caribbean (ECLAC) – Subregional Headquarters in the Caribbean as a supplementary document for the Caribbean Household Surveys Database (CHSD). The main components of this manual include survey methodology and the questionnaires used for data collection. The latter are included in the annex at the end of the document. All information contained therein was provided by the Statistics Department in Saint Lucia. The ECLAC Subregional Headquarters for the Caribbean is pleased to acknowledge the Saint Lucia Statistics Department for graciously consenting to the use of their surveys and metadata under the project Improving Caribbean Household Surveys. Due recognition must also be given to the Statistics and Economics Projection Division at ECLAC (Santiago) who provided guidance in the standardization of the datasets and the creation of the Caribbean Household Surveys Databank.

O regime de metas de inflação no Brasil: um exame teórico e empírico de seu funcionamento

The Inflation targeting regime is a concept of monetary policy which was adopted by several countries in the 90’s; Brazil being among these countries, having adopted it in 1999 after a currency crisis. With it theoretical structure regulated by the New – Classical theory and having as its main characteristic the prior announcement of a numerical target for the inflation, this regime was adopted by countries attempting to achieve a prices stability. The present project is going to explain the theoretical basis of the regime, as well as its implementation process in Brazil and the criticism it received. However, the main focus will be on the discussion of the employment of the IPCA (Consumer Price Index) as a measuring index for Brazil’s inflation

Métodos econométricos para a análise do índice de inflação no Brasil

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

O regime de metas de inflação no Brasil: uma análise empírica do IPCA

Inflation targeting regime is a monetary policy adopted by several countries in the 1990s, Brazil being among them, which adopted it in 1999 after a currency crisis. With a theoretical framework inspired by the new-classical theory, this regime is adopted by countries attempting to achieve price stability and it brings the prior announcement of a numerical target for inflation as a key feature. The present work aims at discussing the use of IPCA (Consumer Price Index) as a measuring index for Brazil's inflation after briefly explain the theoretical basis of the IT regime.

Previsão de demanda de veículos automotores através do modelo de regressão linear múltipla

This study aimed to model a equation for the demand of automobiles and light commercial vehicles, based on the data from February 2007 to July 2014, through a multiple regression analysis. The literature review consists of an information collection of the history of automotive industry, and it has contributed to the understanding of the current crisis that affects this market, which consequence was a large reduction in sales. The model developed was evaluated by a residual analysis and also was used an adhesion test - F test - with a significance level of 5%. In addition, a coefficient of determination (R2) of 0.8159 was determined, indicating that 81.59% of the demand for automobiles and light commercial vehicles can be explained by the regression variables: interest rate, unemployment rate, broad consumer price index (CPI), gross domestic product (GDP) and tax on industrialized products (IPI). Finally, other ten samples, from August 2014 to May 2015, were tested in the model in order to validate its forecasting quality. Finally, a Monte Carlo Simulation was run in order to obtain a distribution of probabilities of future demands. It was observed that the actual demand in the period after the sample was in the range that was most likely to occur, and that the GDP and the CPI are the variable that have the greatest influence on the developed model

Previsão de demanda de veículos automotores através do modelo de regressão linear múltipla

This study aimed to model a equation for the demand of automobiles and light commercial vehicles, based on the data from February 2007 to July 2014, through a multiple regression analysis. The literature review consists of an information collection of the history of automotive industry, and it has contributed to the understanding of the current crisis that affects this market, which consequence was a large reduction in sales. The model developed was evaluated by a residual analysis and also was used an adhesion test - F test - with a significance level of 5%. In addition, a coefficient of determination (R2) of 0.8159 was determined, indicating that 81.59% of the demand for automobiles and light commercial vehicles can be explained by the regression variables: interest rate, unemployment rate, broad consumer price index (CPI), gross domestic product (GDP) and tax on industrialized products (IPI). Finally, other ten samples, from August 2014 to May 2015, were tested in the model in order to validate its forecasting quality. Finally, a Monte Carlo Simulation was run in order to obtain a distribution of probabilities of future demands. It was observed that the actual demand in the period after the sample was in the range that was most likely to occur, and that the GDP and the CPI are the variable that have the greatest influence on the developed model

Relationship between connectivity and academic productivity

A relevant factor in the growth of academic productivity in the second half of 20th century is the implementation of the internet, particularly in developing countries. One of the first networks in Brazil is the Academic Network at Sao Paulo (ANSP), a regional network implemented in the state of Sao Paulo, which contains the largest concentration of researchers in the country. This study presents a unique metric for analyzing the impact of ANSP in academic productivity in the state of Sao Paulo. We correlate academic production and available bandwidth using Fisher ideal price index with suitable variables to evaluate the impact of the internet on research centers and universities. We find that the members of ANSP show a steady growth in academic productivity compared with other institutions outside of the ANSP network. These results suggest that policies which increase available bandwidth can positively affect academic productivity.

Impact Assessment: Organic Cotton in Jalalabad, Oblast, Kyrgyztan

The aim of the study was to examine the economic performance as well as perceived social and environmental impacts of organic cotton in Southern Kyrgyzstan on the basis of a comparative field study (44 certified organic farmers and 33 conventional farmers) carried out in 2009. It also investigated farmers’ motivation for and assessment of conversion to organic farming. Cotton yields on organic farms were found to be 10% lower whereby input costs per unit were 42% lower, which resulted in organic farmers having a 20% higher revenue from cotton. Due to lower input costs and organic and fair trade price premiums the average gross margin from organic cotton was 27%. In addition to direct economic benefits organic farmers enjoy a number of additional benefits such as easy access to credits on favourable terms, provision with uncontaminated cotton cooking oil and seed cake as animal feed, marketing support as well as extension and training, services provided by the newly established organic service provider. A big majority of organic farmers perceives an improvement of soil qualities, improved health conditions, and positively assesses their previous decision to convert to organic farming. The major disadvantage of organic farming is the high manual labour input required. In the study area, where manual farm work is mainly women’s work and male labour migration widespread, women are most affected by this negative aspect of organic farming. Altogether, the results suggest that despite the inconvenience of higher work load the advantages of organic farming outweigh the disadvantages and that conversion to organic farming can improve the livelihoods of small-scale farmers.

Property Condition Disclosure Law: Why Did States Mandate 'Seller Tell All'?

Thirty-six US states have already enacted some form of seller's property condition disclosure law. At a time when there is a movement in this direction nationally, this paper attempts to ascertain the factors that lead states to adopt disclosure law. Motivation for the study stems from the fact that not all states have yet adopted the law, and states that have enacted the law have done so in different years. The analytical structure employs hazard models, using a unique set of economic and institutional attributes for a panel of 50 US States spanning 21 years, from 1984 to 2004. The proportional hazard analysis of law adoption reveals that greater number of disciplinary actions tends to favor passage of the law. Greater broker supervision, implying generally higher awareness among real estate agents, seems to have a negative impact on the likelihood of a state adopting a property condition disclosure law.

Property Condition Disclosure Law: Does 'Seller Tell All' Matter in Property Values?

At the time when at least two-thirds of the US states have already mandated some form of seller's property condition disclosure statement and there is a movement in this direction nationally, this paper examines the impact of seller's property condition disclosure law on the residential real estate values, the information asymmetry in housing transactions and shift of risk from buyers and brokers to the sellers, and attempts to ascertain the factors that lead to adoption of the disclosur law. The analytical structure employs parametric panel data models, semi-parametric propensity score matching models, and an event study framework using a unique set of economic and institutional attributes for a quarterly panel of 291 US Metropolitan Statistical Areas (MSAs) and 50 US States spanning 21 years from 1984 to 2004. Exploiting the MSA level variation in house prices, the study finds that the average seller may be able to fetch a higher price (about three to four percent) for the house if she furnishes a state-mandated seller's property condition disclosure statement to the buyer.

Monetary and Exchange Rate Policy in Multisectorial Economies

We develop a two-sector economy where each sector is classified as classical/Keynesian (contract/noncontract) in the labor market and traded/nontraded in the product market. We consider the effects of changes in monetary and exchange rate policy on sectoral and aggregate prices and outputs for different sectoral characterizations. Duca (1987) shows that nominal wage rigidity facilitates the effectiveness of monetary policy even in the classical sector. We demonstrate that trade price rigidity provides a similar path for the effectiveness of monetary policy, in this case, even when both sectors are classical.

The Impact of Property Condition Disclosure Laws on Housing Prices: Evidence from an Event Study using Propensity Scores

We examine the impact of seller's Property Condition Disclosure Law on the residential real estate values. A disclosure law may address the information asymmetry in housing transactions shifting of risk from buyers and brokers to the sellers and raising housing prices as a result. We combine propensity score techniques from the treatment effects literature with a traditional event study approach. We assemble a unique set of economic and institutional attributes for a quarterly panel of 291 US Metropolitan Statistical Areas (MSAs) and 50 US States spanning 21 years from 1984 to 2004 is used to exploit the MSA level variation in house prices. The study finds that the average seller may be able to fetch a higher price (about three to four percent) for the house if she furnishes a state-mandated seller.s property condition disclosure statement to the buyer. When we compare the results from parametric and semi-parametric event analyses, we find that the semi-parametric or the propensity score analysis generals moderately larger estimated effects of the law on housing prices.

Evolución de precios agrarios percibidos y pagados por el agricultor en España (2000-2009)

La evolución de los precios de los alimentos en años recientes se ha evaluado en numerosos estudios considerando: el análisis de los márgenes comerciales y la evolución temporal de los precios, si bien, la mayoría de ellos centrados en la óptica del consumidor. En este artículo se analizó la evolución temporal de los precios de los alimentos en España en el período 2000-2009 desde el punto de vista del agricultor y ganadero. Concretamente se utilizó información relacionada con los precios percibidos, precios pagados y el índice de precios de consumo (IPC), y con técnicas de análisis de series temporales se analizó la existencia de relaciones de equilibrio a largo plazo entre las series. Los resultados reflejan una relación de equilibrio a largo plazo entre: los precios percibidos y pagados; el IPC y los precios percibidos. Las principales conclusiones muestran que, a pesar de los desequilibrios existentes a corto plazo, a largo plazo los precios percibidos y pagados tienden a una situación de equilibrio. Un elemento importante en la evolución del IPC lo constituyen los precios percibidos por los productos en el sector primario. Sin embargo, la fijación de los precios de los insumos (pagados) en el sector primario; lejos de regirse en el largo plazo por la evolución del IPC; no muestra una relación significativa con dicho indicador.

貿易結合度の適切な応用についての考察

二国間の貿易関係の強さを分析する際に用いられる簡便な指標として，貿易結合度（trade intensity index）がある。貿易結合度については，基準となる貿易額を計算する際に，自国同士の貿易がないことを考慮するかどうかについて，その重要性に反して，ほとんど議論が行われないままとなっている。本論では，自国同士の貿易がない点を考慮しない「標準」貿易結合度に対して，その点を考慮した指数を「修正」貿易結合度と呼び，両者を比較する。どのような場合にどちらの指数を用いるべきか，また，誤った指数を用いることでどのような影響がどのような大きさで出る可能性があるのかを詳しく検討し，両指数の望ましい使用方法を提示する。