Relevant bibliographies by topics / Rare rules

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Rare rules'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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Journal articles on the topic "Rare rules"

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Pariñas, Miriam P. "Mining Association Rules for Frequent and Rare Items Using Relative Multiple Supports." Journal of Advanced Research in Dynamical and Control Systems 12, no. 01-Special Issue (February 13, 2020): 285–92. http://dx.doi.org/10.5373/jardcs/v12sp1/20201074.

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Hayden, Erika Check. "Licence rules hinder work on rare disease." Nature 470, no. 7334 (February 2011): 318–19. http://dx.doi.org/10.1038/470318a.

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Werdiningsih, Indah, Rimuljo Hendradi, Barry Nuqoba, and Elly Ana. "Identification of Risk Factors for Early Childhood Diseases Using Association Rules Algorithm with Feature Reduction." Cybernetics and Information Technologies 19, no. 3 (September 1, 2019): 154–67. http://dx.doi.org/10.2478/cait-2019-0031.

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Abstract This paper introduces a technique that can efficiently identify symptoms and risk factors for early childhood diseases by using feature reduction, which was developed based on Principal Component Analysis (PCA) method. Previous research using Apriori algorithm for association rule mining only managed to get the frequent item sets, so it could only find the frequent association rules. Other studies used ARIMA algorithm and succeeded in obtaining the rare item sets and the rare association rules. The approach proposed in this study was to obtain all the complete sets including the frequent item sets and rare item sets with feature reduction. A series of experiments with several parameter values were extrapolated to analyze and compare the computing performance and rules produced by Apriori algorithm, ARIMA, and the proposed approach. The experimental results show that the proposed approach could yield more complete rules and better computing performance.
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Wang, Dingsheng, Zhongying Wang, Peng Zhao, Wen Zheng, Qing Peng, Liqin Liu, Xueyuan Chen, and Yadong Li. "Rare-Earth Oxide Nanostructures: Rules of Rare-Earth Nitrate Thermolysis in Octadecylamine." Chemistry - An Asian Journal 5, no. 4 (April 1, 2010): 925–31. http://dx.doi.org/10.1002/asia.200900499.

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Sousa, Ricardo, and Fatima Rodrigues. "Mining association rules with rare and frequent items." International Journal of Knowledge Engineering and Data Mining 2, no. 4 (2013): 237. http://dx.doi.org/10.1504/ijkedm.2013.059290.

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Kai, Masaru, Arata Tanaka, and Takeo Jo. "Selection Rules in Resonant 4f Photoemission for Rare Earths." Journal of the Physical Society of Japan 64, no. 7 (July 15, 1995): 2356–59. http://dx.doi.org/10.1143/jpsj.64.2356.

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Thole, B. T., and G. van der Laan. "Sum rules for magnetic dichroism in rare earth 4fphotoemission." Physical Review Letters 70, no. 16 (April 19, 1993): 2499–502. http://dx.doi.org/10.1103/physrevlett.70.2499.

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Showstack, Randy. "Trade Group Rules Against China in Rare Earths Dispute." Eos, Transactions American Geophysical Union 95, no. 14 (April 8, 2014): 119. http://dx.doi.org/10.1002/2014eo140004.

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YIN Min, 尹民, 闻军 WEN Jun, and 段昌奎 DUAN Chang-kui. "Transition Selection Rules of Rare-earth in Optical Materials." Chinese Journal of Luminescence 32, no. 7 (2011): 643–49. http://dx.doi.org/10.3788/fgxb20113207.0643.

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Mustafa, M. D., N. F. Nabila, D. J. Evans, M. Y. Saman, and A. Mamat. "Association rules on significant rare data using second support." International Journal of Computer Mathematics 83, no. 1 (January 2006): 69–80. http://dx.doi.org/10.1080/00207160500113330.

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Dissertations / Theses on the topic "Rare rules"

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Roy, Lindsay Elizabeth. "Rules for understanding rare-earth magnetic compounds." [College Station, Tex. : Texas A&M University, 2006. http://hdl.handle.net/1969.1/ETD-TAMU-1749.

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Xiang, Lan. "Interesting Association Rules Mining Based on Improved Rarity Algorithm." Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-35320.

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With the rapid development of science and technology, our society has been in the big data era. In human activities, we produce a lot of data in every second and every minute, what contain much information. Then, how to select the useful information from those complicated data is a significant issue. So the association rules mining, a technique of mining patterns or associations between itemsets, comes into being. And this technique aims to find some important associations in data to get useful knowledge. Nowadays, most scholars at home and abroad focus on the frequent pattern mining. However, it is undeniable that the rare pattern mining also plays an important role in many areas, such as the medical, financial, and scientific field. Comparing with frequent pattern mining, studying rare pattern mining is more valuable, because it tends to find unknown, unexpected, and more interesting rules. But the study of rare pattern mining is little difficult because of the scarcity of data used for verifying rules. In the frequent pattern mining, there are two general algorithms of discovering frequent itemsets, i.e., Apriori, the earliest algorithm which is proposed by R.Agrawal in 1994, and FP-Tree, the improved algorithm which reduced the time complexity. And in rare pattern mining, there are also two algorithms, Arima and Rarity, what are similar to Apriori and FP-Tree algorithms, but they still exist some problems, for example, Arima is time-consuming because of repeatedly scanning the large database, and Rarity is space-consuming because of the establishment of the full-combination tree. Therefore, based on the Rarity algorithm, this report presents an improved method to efficiently discover interesting association rules among rare itemsets and aims to get a balance between time and space. It is a top-down strategy which uses the graph structure to indicate all combinations of existing items, defines pattern matrix to record itemsets, and combines the hash table to accelerate calculation process. This method decreases both the time cost and the space cost when comparing with Arima, and reduces the space waste to solve the problem of Rarity, but its searching time of mining rare itemsets is more than Rarity, and we verified the feasibility of this algorithm only on abstract and small databases. Thus in the future, on the one hand, we will continue improving our method to explore how to decrease the searching time in the process and adjust the hash function to optimize the space utilization. And on the other hand, we will apply our method to actual large databases, such as the clinical database of the diabetic patients to mine association rules in diabetic complications.
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Kanik, Inanc. "Light Cone Qcd Sum Rules And Meson Physics." Phd thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/2/12610082/index.pdf.

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In this thesis, we applied Light Cone QCD sum rules (LCSR) to several problems in meson physics. Semileptonic B->
eta l v decays are important to get information on Cabibbo-Kobayashi-Maskawa (CKM) matrix elements. We calculated form factors of this decay in LCSR frame. Our results are confirmed by later studies and these similar studies had been used for enhancing result on b to u quark transition matrix element of CKM matrix by BaBar collaboration. We used LCSR method also for calculating coupling constant of radiative rho ->
eta photon decay since the analysis of the vector particle to pseudoscalar particle radiative decay with eta and eta'
mesons in final state can provide insights to the long standing issue of the eta and eta'
mixing. Our result g_{rho eta photon}=(1.4 ±
0.2) is very close to experimental value g_{ rho eta photon} = (1.42 ±
0.12). We also calculated magnetic moment of the rho meson in LCSR frame which is an important parameter since it is strongly related to internal structure of hadron. Our result 2.3 ±
0.5 in units of (e/2m_rho), is in better agreement with lattice QCD results than traditional QCD sum rules. Quark contents of light scalar mesons are still under debate and we analyzed phi ->
K K decays which is important for understanding the quark content of the f0 meson. Our final result is g_{phi KK} = 4.9 ±
0.8 which is in well agreement with existing experimental result g_{phi KK} = 4.8.
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Bouzouita-Bayoudh, Inès. "Etude et extraction des règles associatives de classification en classification supervisée." Thesis, Montpellier 2, 2012. http://www.theses.fr/2012MON20217.

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Dans le cadre de cette thèse, notre intérêt se porte sur la précision de la classification et l'optimalité du parcours de l'espace de recherche. L'objectif recherché est d'améliorer la précision de classification en étudiant les différents types de règles et de réduire l'espace de recherche des règles. Nous avons proposé une approche de classification IGARC permettant de générer un classifieur formé d'une base de règles de classification génériques permettant de mieux classer les nouveaux objets grâce à la flexibilité de petites prémisses caractérisant ces règles. De plus cette approche manipule un nombre réduit de règles en comparaison avec les autres approches de classification associative en se basant sur le principe des bases génériques des règles associatives. Une étude expérimentale inter et intra approches a été faite sur 12 bases Benchmark.Nous avons également proposé une approche Afortiori. Notre travail a été motivé par la recherche d'un algorithme efficace permettant l'extraction des règles génériques aussi bien fréquentes que rares de classification en évitant la génération d'un grand nombre de règles. L'algorithme que nous proposons est particulièrement intéressant dans le cas de bases de données bien spécifiques composées d'exemples positifs et négatifs et dont le nombre d'exemples négatifs est très réduit par rapport aux exemples positifs. La recherche des règles se fait donc sur les exemples négatifs afin de déterminer des règles qui ont un faible support et ce même par rapport à la population des exemples positifs et dont l'extraction pourrait être coûteuse
Within the framework of this thesis, our interest is focused on classification accuracy and the optimalité of the traversal of the search. we introduced a new direct associative classification method called IGARC that extracts directly a classifier formed by generic associative classification rules from a training set in order to reduce the number of associative classification rules without jeopardizing the classification accuracy. Carried out experiments outlined that IGARC is highly competitive in comparison with popular classification methods.We also introduced a new classification approach called AFORTIORI. We address the problem of generating relevant frequent and rare classification rules. Our work is motivated by the long-standing open question of devising an efficient algorithm for finding rules with low support. A particularly relevant field for rare item sets and rare associative classification rules is medical diagnosis. The proposed approach is based on the cover set classical algorithm. It allows obtaining frequent and rare rules while exploring the search space in a depth first manner. To this end, AFORTIORI adopts the covering set algorithm and uses the cover measure in order to guide the traversal of the search space and to generate the most interesting rules for the classification framework even rare ones. We describe our method and provide comparisons with common methods of associative classification on standard benchmark data set
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Ghaderi, Hazhar. "The Rare Decay of the Neutral Pion into a Dielectron." Thesis, Uppsala universitet, Kärnfysik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-211683.

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We give a rather self-contained introduction to the rare pion to dielectron decay which in nontrivial leading order is given by a QED triangle loop. We work within the dispersive framework where the imaginary part of the amplitude is obtained via the Cutkosky rules. We derive these rules in detail. Using the twofold Mellin-Barnes representation for the pion transition form factor, we derive a simple expression for the branching ratio B(π0  e+e-) which we then test for various models. In particular a more recent form factor derived from a Lagrangian for light pseudoscalars and vector mesons inspired by effective field theories. Comparison with the KTeV experiment at Fermilab is made and we find that we are more than 3σ below the KTeV experiment for some of the form factors. This is in agreement with other theoretical models, such as the Vector Meson Dominance model and the quark-loop model within the constituent-quark framework. But we also find that we can be in agreement with KTeV if we explore some freedom of the form factor not fixed by the low-energy Lagrangian.
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Lombardini, Alessandro. "Estrazione di Correlazioni Medicali da Social Post non Etichettati con Language Model Neurali e Data Clustering." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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La progressiva informatizzazione della società a cui il mondo contemporaneo sta assistendo, ha generato un radicale cambiamento nelle abitudini delle persone, le quali oggi giorno trascorrono sempre più tempo online e creano reti di conoscenza prima inimmaginabili. Tale cambiamento ha coinvolto, nel suo avanzare, anche gli individui affetti da malattie di varia natura. In particolare, la scarsa disponibilità di informazioni che caratterizza alcuni contesti medici, unita al bisogno di dialogare con altre persone aventi la medesima problematica, ha determinato negli ultimi anni una forte crescita di comunità sulle piattaforme social, all’interno delle quali vengono scambiati dettagli rispetto a trattamenti, centri specializzati e dottori. In questo senso, i social network sono diventati il luogo in cui i pazienti sono più propensi a condividere le proprie esperienze e opinioni maturate durante il corso della propria malattia. Questa tesi nasce dalla consapevolezza del valore di tali dati e dalla volontà di consentire un ragionamento logico deduttivo al di sopra di essi. Nello specifico, si intende estrarre — con un approccio non supervisionato, mediante l’uso di language model neurali e data clustering — le correlazioni semantiche racchiuse nell’elevata quantità di testo generato dagli utenti attraverso interazioni social, prendendo l’Acalasia Esofagea come caso di studio.
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Murozvi, Simbarashe. "Taylor rule influence on the setting of the repurchase rate by the South African Reserve Bank (1989-2009)." University of the Western Cape, 2016. http://hdl.handle.net/11394/5583.

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Magister Commercii - MCom
Monetary policy rules are guidelines applied by policy makers when adjusting monetary instruments towards reaching policy objectives like price stability. The South African Reserve Bank (SARB) uses the repurchase (repo) rate at which it lends to commercial banks as its monetary instrument. This study examines whether the SARB considers the output gap when deciding on changes to the repo rate. In order to test the above hypothesis the study applied a simple multiple linear regression model (quantitative methods). The hypothesis was tested based on the following independent variables: consumer price index (headline), natural real interest rate, potential output and actual output using the Eviews and STAMP econometric software packages. The study focussed on the time period between 1989 and 2009 when the central bank governors were targeting the repo rate as an instrument towards achieving their monetary policy objectives. The results illustrate evidence of 82 % to 92 % correlation in the movements between the predicted Taylor rule with the univariate model and the actual repo rate. This means that the behaviour the SARB monetary policy conduct was sufficiently structured and influenced by the developments of both inflation and the output gap, even though the SARB have not consciously implemented a Taylor model. In short, the output gap and inflation rate gap pressures influenced strongly the monetary policy decisions of the SARB, even before the formal adoption of an inflation targeting framework.
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Amin, Walid Mohamed Nabil Elsayed. "Taylor rules and interest rate dynamics in emerging market economies /." Search for this dissertation online, 2005. http://wwwlib.umi.com/cr/ksu/main.

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Barnes, Janel Kay. "Regression and boosting methods to inform precisionized treatment rules using data from crossover studies." Diss., University of Iowa, 2017. https://ir.uiowa.edu/etd/5913.

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The usual convention for assigning a treatment to an individual is a "one-size fits all" rule that is based on broad spectrum trends. Heterogeneity within and between subjects and improvements in scientific research convey the need for more effective treatment assignment strategies. Precisionized treatment (PT) offers an alternative to the traditional treatment assignment approach by making treatment decisions based on one or more covariates pertaining to an individual. We investigate two methods to inform PT rules: the Maximum Likelihood Estimation (MLE) method and the Boosting method. We apply these methods in the context of a crossover study design with a continuous outcome variable, one continuous covariate, and two intervention options. We explore the methods via extensive simulation studies and apply them to a data set from a study of safety warnings in passenger vehicles. We evaluate the performance of the estimated PT rules based on the improvement in mean response (RMD), the percent of correct treatment assignments (PCC), and the accuracy of estimating the location of the crossing point (MSE((x_c )). We also define a new metric that we call the percent of anomalies (PA). We characterize the potential benefit of using PT by relating it to the strength of interaction, the location of the crossing point, and the within-person intraclass correlation (ICC). We also explore the effects of sample size and overall variance along with the methods’ robustness to violations of model assumptions. We investigate the performance of the Boosting method under the standard weight and two alternative weighting schemes. Our investigation indicated the largest potential benefit of implementing a PT approach was when the crossover point was near the median, the strength of interaction was large, and the ICC was high. When a PT rule is used to assign treatments instead of a one-size fits all rule, an approximate 10-30% improvement in mean outcome can be gained. The MLE and Boosting method performed comparably across most of the simulation scenarios, yet in our data example, it appeared there may be an empirical benefit of the Boosting method over the MLE method. Under a distribution misspecification, the difference in performance between the methods was minor; however, when the functional form of the model was misspecified, we began to see improvement of the Boosting method over the MLE method. In the simulation conditions we considered, the weighting scheme used in the Boosting method did not markedly impact performance. Using data to develop PT rules can lead to an improvement in outcome over the standard approach of assigning treatments. We found that in a variety of scenarios, there was little added benefit to utilizing the more complex iterative Boosting procedure compared to the relatively straightforward MLE method when developing the PT rules. The results from our investigations could be used to optimize treatment recommendations for participants in future studies.
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Pavlova, Elena [Verfasser]. "Interest-Rate Rules in a New Keynesian Framework with Investment / Elena Pavlova." Frankfurt : Peter Lang GmbH, Internationaler Verlag der Wissenschaften, 2012. http://d-nb.info/1042406979/34.

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Books on the topic "Rare rules"

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Committee, Association of College and Research Libraries Rare Books and Manuscripts Section Bibliographic Standards. Descriptive cataloging of rare materials (books). Washington, D.C: Cataloging Distribution Service, 2007.

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Rich, David M. Index to Bibliographic description of rare books. Providence, R.I: John Carter Brown Library, 1987.

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Snyder, Henry Leonard. A comparative and analytical study of cataloging rules employed in Europe for the cataloging of the hand press: Prepared for the Working Group appointed by the organizers of the Munich 1990 Conference on Retrospective Cataloging and Conversion in Europe, 1500-1900. Riverside, Calif: Center for Bibliographical Studies and Research, The University of California, 1992.

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Cockx-Indestege, Elly. Guide pour la description bibliographique des imprimés anciens et précieux. Bruxelles: Archives et bibliothèques de Belgique, 1991.

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Race without rules. Coral Springs, FL: Llumina Press, 2003.

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Galí, Jordi. Rule-of-thumb consumers and the design of interest rate rules. Cambridge, Mass: National Bureau of Economic Research, 2004.

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Galí, Jordi. Rule-of-thumb consumers and the design of interest rate rules. Cambridge, MA: National Bureau of Economic Research, 2004.

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Race rules: Navigating the color line. Reading, Mass: Addison-Wesley Pub. Co., 1996.

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Benhabib, Jess. Chaotic interest rate rules: Expanded version. Cambridge, MA: National Bureau of Economic Research, 2004.

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Race rules: Navigating the color line. New York: Vintage Books, 1997.

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Book chapters on the topic "Rare rules"

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Szathmary, Laszlo, Petko Valtchev, and Amedeo Napoli. "Finding Minimal Rare Itemsets and Rare Association Rules." In Knowledge Science, Engineering and Management, 16–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15280-1_5.

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Tsang, Sidney, Yun Sing Koh, and Gillian Dobbie. "Finding Interesting Rare Association Rules Using Rare Pattern Tree." In Lecture Notes in Computer Science, 157–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37574-3_7.

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Yu, Junjie, Hu Sun, Jun Luo, Guanghui Li, and Tao Jiang. "General Rules for Deep Purification of Low-Grade Molybdenite Concentrates." In Rare Metal Technology 2019, 109–18. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05740-4_12.

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Rawat, Sandeep Singh, and Lakshmi Rajamani. "Discovering Rare Association Rules Using Probability Apriori in Grid Environments." In Advances in Intelligent and Soft Computing, 527–39. New Delhi: Springer India, 2012. http://dx.doi.org/10.1007/978-81-322-0491-6_48.

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Kiran, R. Uday, and P. Krishna Reddy. "Mining Rare Association Rules in the Datasets with Widely Varying Items’ Frequencies." In Database Systems for Advanced Applications, 49–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12026-8_6.

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Kiran, R. Uday, and Polepalli Krishna Reddy. "An Efficient Approach to Mine Rare Association Rules Using Maximum Items’ Support Constraints." In Data Security and Security Data, 84–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25704-9_9.

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Sun, Geng, Jiayin Lin, Jun Shen, Tingru Cui, Dongming Xu, and Huaming Chen. "Evolutionary Learner Profile Optimization Using Rare and Negative Association Rules for Micro Open Learning." In Intelligent Tutoring Systems, 432–40. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49663-0_54.

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Bouzouita, Ines, Michel Liquiere, Samir Elloumi, and Ali Jaoua. "A Comparative Study of a New Associative Classification Approach for Mining Rare and Frequent Classification Rules." In Communications in Computer and Information Science, 43–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23141-4_5.

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Moosa, Imad A. "Trading Rules." In Exchange Rate Forecasting, 233–68. London: Palgrave Macmillan UK, 2000. http://dx.doi.org/10.1057/9780230379008_8.

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Bunn, Michael, and Zack Campbell. "Procrustes Rules." In Winning the Institutional Investing Race, 3–4. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0832-8_1.

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Conference papers on the topic "Rare rules"

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Rawat, Sandeep Singh, and Lakshmi Rajamani. "Probability apriori based approach to mine rare association rules." In 2011 3rd Conference on Data Mining and Optimization (DMO). IEEE, 2011. http://dx.doi.org/10.1109/dmo.2011.5976537.

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Kiran, R. Uday, and P. Krishna Reddy. "Improved approaches to mine rare association rules in transactional databases." In the Fourth SIGMOD PhD Workshop. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1811136.1811140.

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Ouyang, Weimin. "Discovery of Fuzzy Rare Association Rules from Large Transaction Databases." In 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/emcm-16.2017.32.

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Olmo, Juan Luis, Jose Raul Romero, and Sebastian Ventura. "On the use of ant programming for mining rare association rules." In 2013 World Congress on Nature and Biologically Inspired Computing (NaBIC). IEEE, 2013. http://dx.doi.org/10.1109/nabic.2013.6617866.

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"AN IMPROVED FREQUENT PATTERN-GROWTH APPROACH TO DISCOVER RARE ASSOCIATION RULES." In International Conference on Knowledge Discovery and Information Retrieval. SciTePress - Science and and Technology Publications, 2009. http://dx.doi.org/10.5220/0002299600430052.

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Ouyang, Weimin. "Mining Weighted Rare Association Rules Using Sliding Window over Data Streams." In 2016 International Conference on Computer Science and Electronic Technology. Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/cset-16.2016.28.

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Padillo, F., J. M. Luna, and S. Ventura. "An evolutionary algorithm for mining rare association rules: A Big Data approach." In 2017 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2017. http://dx.doi.org/10.1109/cec.2017.7969547.

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Ouyang, Weimin, and Qinhua Huang. "A Privacy Preserving Algorithm for Mining Rare Association Rules by Homomorphic Encryption." In 2019 6th International Conference on Systems and Informatics (ICSAI). IEEE, 2019. http://dx.doi.org/10.1109/icsai48974.2019.9010219.

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Pan, Qiao, Lan Xiang, and Yanhong Jin. "Rare Association Rules Mining of Diabetic Complications Based on Improved Rarity Algorithm." In 2019 IEEE 7th International Conference on Bioinformatics and Computational Biology ( ICBCB). IEEE, 2019. http://dx.doi.org/10.1109/icbcb.2019.8854639.

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Tempaiboolkul, Jutamas. "Mining rare association rules in a distributed environment using multiple minimum supports." In 2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS). IEEE, 2013. http://dx.doi.org/10.1109/icis.2013.6607857.

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Reports on the topic "Rare rules"

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Gali, Jordi, J. David Lopez-Salido, and Javier Valles. Rule-of-Thumb Consumers and the Design of Interest Rate Rules. Cambridge, MA: National Bureau of Economic Research, March 2004. http://dx.doi.org/10.3386/w10392.

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Mendoza, Waldo, Marco Vega, Carlos Rojas, and Yuliño Anastacio. Fiscal Rules and Public Investment: The Case of Peru, 2000-2019. Inter-American Development Bank, January 2021. http://dx.doi.org/10.18235/0003018.

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This article has three goals. First, it describes the genesis of fiscal rules in Peru and its degree of compliance. Second, it estimates the effect of fiscal rules adoption on public investment. Last, it analyzes the impact of alternative fiscal rules on public investment and public debt sustainability. Our main results are as follows. First, the implementation of fiscal rules in the year 2000 caused a 60 to 80 percent fall in public investment relative to several counterfactuals. Second, our DSGE model suggests a Structural Fiscal Rule would have increased the consumers welfare in the period 2000-2019 more than other fiscal designs. This rule reduces the procyclicality of public investment under commodity price shocks and macroeconomic volatility under world interest rate shocks. Third, a Structural Fiscal Rule has the lowest probability of exceeding the current public debt limit (30 percent of GDP), although there is a trade-off between investment-friendly rules and fiscal sustainability issues. Nevertheless, our quantitative results are limited to short spans of analysis. With a long-run perspective, we may say that fiscal rulesdespite constant modifications and recurring non-compliancehave fulfilled their original and most important goal of achieving the consolidation of public finances.
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3

Benhabib, Jess, Stephanie Schmitt-Grohe, and Martin Uribe. Chaotic Interest Rate Rules: Expanded Version. Cambridge, MA: National Bureau of Economic Research, February 2004. http://dx.doi.org/10.3386/w10272.

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4

Giannoni, Marc, and Michael Woodford. Optimal Interest-Rate Rules: II. Applications. Cambridge, MA: National Bureau of Economic Research, January 2003. http://dx.doi.org/10.3386/w9420.

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Giannoni, Marc, and Michael Woodford. Optimal Interest-Rate Rules: I. General Theory. Cambridge, MA: National Bureau of Economic Research, January 2003. http://dx.doi.org/10.3386/w9419.

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Behabib, Jess, Stephanie Schmitt-Grohe, and Martin Uribe. Backward-Looking Interest-Rate Rules, Interest-Rate Smoothing, and Macroeconomic Instability. Cambridge, MA: National Bureau of Economic Research, March 2003. http://dx.doi.org/10.3386/w9558.

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7

Rotemberg, Julio, and Michael Woodford. Interest-Rate Rules in an Estimated Sticky Price Model. Cambridge, MA: National Bureau of Economic Research, June 1998. http://dx.doi.org/10.3386/w6618.

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8

Engel, Charles, and Kenneth West. Taylor Rules and the Deutschmark-Dollar Real Exchange Rate. Cambridge, MA: National Bureau of Economic Research, December 2004. http://dx.doi.org/10.3386/w10995.

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Mark, Nelson. Changing Monetary Policy Rules, Learning, and Real Exchange Rate Dynamics. Cambridge, MA: National Bureau of Economic Research, January 2005. http://dx.doi.org/10.3386/w11061.

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Engel, Charles, Dohyeon Lee, Chang Liu, Chenxin Liu, and Steve Pak Yeung Wu. The Uncovered Interest Parity Puzzle, Exchange Rate Forecasting, and Taylor Rules. Cambridge, MA: National Bureau of Economic Research, November 2017. http://dx.doi.org/10.3386/w24059.

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