Design of a leading indicator for Costa Rican economic activity
<p>This paper presents the results of estimating three leading indicators for the turning points of the economic activity in Costa Rica. This was done following the methodology proposed by the Organization for Economic Cooperation and Development (OECD). The Monthly Economic Activity Index (IM...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Universidad Nacional, Costa Rica
2014-08-01
|
Series: | Economía y Sociedad |
Subjects: | |
Online Access: | http://www.revistas.una.ac.cr/index.php/economia/article/view/6426 |
id |
doaj-1dc66a1a3be34ac2bef6ab336e6f79a9 |
---|---|
record_format |
Article |
spelling |
doaj-1dc66a1a3be34ac2bef6ab336e6f79a92020-11-25T03:16:23ZengUniversidad Nacional, Costa RicaEconomía y Sociedad1409-10702215-34032014-08-011946567610.15359/eys.19-46.46337Design of a leading indicator for Costa Rican economic activityCarlos Chaverri Morales0Diana Van Patten Rivera1Banco Central de Costa Rica (BCCR)Banco Central de Costa Rica<p>This paper presents the results of estimating three leading indicators for the turning points of the economic activity in Costa Rica. This was done following the methodology proposed by the Organization for Economic Cooperation and Development (OECD). The Monthly Economic Activity Index (IMAE in Spanish) was selected as the reference variable. A total of 270 data series were analyzed including monetary, real and job market variables, as well as price indices, external sector indicators and fiscal sector variables. The real sector information was disaggregated into three levels, which included the classification of data at an industrial level using the International Standard Industrial Classification (ISIC) with two digits, information from the agricultural sector based on the Central Product Classification (CPC) and information from the manufacturing sector. A leading indicator was developed for each level of aggregation, resulting in average leads of 7 to 12 months compared to the reference variable.</p>http://www.revistas.una.ac.cr/index.php/economia/article/view/6426Modelos de series temporalesfluctuacionesciclos económicos |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Carlos Chaverri Morales Diana Van Patten Rivera |
spellingShingle |
Carlos Chaverri Morales Diana Van Patten Rivera Design of a leading indicator for Costa Rican economic activity Economía y Sociedad Modelos de series temporales fluctuaciones ciclos económicos |
author_facet |
Carlos Chaverri Morales Diana Van Patten Rivera |
author_sort |
Carlos Chaverri Morales |
title |
Design of a leading indicator for Costa Rican economic activity |
title_short |
Design of a leading indicator for Costa Rican economic activity |
title_full |
Design of a leading indicator for Costa Rican economic activity |
title_fullStr |
Design of a leading indicator for Costa Rican economic activity |
title_full_unstemmed |
Design of a leading indicator for Costa Rican economic activity |
title_sort |
design of a leading indicator for costa rican economic activity |
publisher |
Universidad Nacional, Costa Rica |
series |
Economía y Sociedad |
issn |
1409-1070 2215-3403 |
publishDate |
2014-08-01 |
description |
<p>This paper presents the results of estimating three leading indicators for the turning points of the economic activity in Costa Rica. This was done following the methodology proposed by the Organization for Economic Cooperation and Development (OECD). The Monthly Economic Activity Index (IMAE in Spanish) was selected as the reference variable. A total of 270 data series were analyzed including monetary, real and job market variables, as well as price indices, external sector indicators and fiscal sector variables. The real sector information was disaggregated into three levels, which included the classification of data at an industrial level using the International Standard Industrial Classification (ISIC) with two digits, information from the agricultural sector based on the Central Product Classification (CPC) and information from the manufacturing sector. A leading indicator was developed for each level of aggregation, resulting in average leads of 7 to 12 months compared to the reference variable.</p> |
topic |
Modelos de series temporales fluctuaciones ciclos económicos |
url |
http://www.revistas.una.ac.cr/index.php/economia/article/view/6426 |
work_keys_str_mv |
AT carloschaverrimorales designofaleadingindicatorforcostaricaneconomicactivity AT dianavanpattenrivera designofaleadingindicatorforcostaricaneconomicactivity |
_version_ |
1724636592660807680 |