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Tracing data errors with view-conditioned causality

Alexandra Meliou, Wolfgang Gatterbauer, Suman Nath, Dan Suciu
2011 Proceedings of the 2011 international conference on Management of data - SIGMOD '11  
We call this problem View-Conditioned Causality.  ...  A surprising query result is often an indication of errors in the query or the underlying data. Recent work suggests using causal reasoning to find explanations for the surprising result.  ...  We proposed view-conditioned causality and responsibility as a solution to trace errors from transformations to source data.  ... 
doi:10.1145/1989323.1989376 dblp:conf/sigmod/MeliouGNS11 fatcat:x5jkm6nahrahflrpbvsbgbe7yi

Inflation Led Import or Import Led Inflation: Evidence from Bangladesh

Dewan Muktadir-Al-Mukit, A. Z. M. Shafiullah, Md. Rizvy Ahmed
2013 Asian Business Review  
Finally, Granger causality analysis suggests the existence of a unidirectional causality running from Inflation to import.  ...  The estimated error correction coefficient indicates that 0.6 percent deviation of the inflation rate from its long run equilibrium level is corrected each period where such correction rate for import  ...  So, it is necessary to determine the relationship of inflation with international trade condition.  ... 
doi:10.18034/abr.v2i2.104 fatcat:skcxianhsrcpdnjo2u5kt2ljvy

Inflation Led Import or Import Led Inflation: Evidence from Bangladesh

Dewan Muktadir-Al-Mukit, A. Z. M. Shafiullah, Md. Rizvy Ahmed
2015 Asian Business Review  
Finally, Granger causality analysis suggests the existence of a unidirectional causality running from Inflation to import.  ...  The estimated error correction coefficient indicates that 0.6 percent deviation of the inflation rate from its long run equilibrium level is corrected each period where such correction rate for import  ...  So, it is necessary to determine the relationship of inflation with international trade condition.  ... 
doi:10.18034/abr.v2i2.297 fatcat:adf7evhombd5ldg3efj3mdttzi

Stateless model checking concurrent programs with maximal causality reduction

Jeff Huang
2015 SIGPLAN notices  
In our experiments, MCR also revealed several new data races and null pointer dereference errors in frequently studied real-world programs.  ...  Each execution corresponds to a distinct maximal causal model extracted from a given execution trace, which captures the largest possible set of causally equivalent executions.  ...  Constraint Encoding of Maximal Causal Model From a high level view, Φ contains only variables of the form O e corresponding to events e, which denote the order of the events in a trace in feasible(τ).  ... 
doi:10.1145/2813885.2737975 fatcat:pgcsk2upovapjoefbf6c7qjrha

Stateless model checking concurrent programs with maximal causality reduction

Jeff Huang
2015 Proceedings of the 36th ACM SIGPLAN Conference on Programming Language Design and Implementation - PLDI 2015  
In our experiments, MCR also revealed several new data races and null pointer dereference errors in frequently studied real-world programs.  ...  Each execution corresponds to a distinct maximal causal model extracted from a given execution trace, which captures the largest possible set of causally equivalent executions.  ...  Constraint Encoding of Maximal Causal Model From a high level view, Φ contains only variables of the form O e corresponding to events e, which denote the order of the events in a trace in feasible(τ).  ... 
doi:10.1145/2737924.2737975 dblp:conf/pldi/Huang15 fatcat:543zebw6zzcjdmlhbm4fdxs7ru

Government Expenditure and Economic Growth Nexus in Mena Countries: Frequency Domain Spectral Causality Analysis

Hicham Ayad
2020 Economics and Business  
Unlike previous studies, we examine the causality in both panel data and time series data to get a clear idea about the causal relationships individually and as a full sample.  ...  On the other hand, we found the support of Wagner's law, Keynes view, neutrality and bidirectional hypotheses in the long term.  ...  The Westerlund (2007) test has the null hypotheses of no co-integration by inferring whether the error correction term (ECT) in a conditional panel error correction model (ECM) is equal to zero versus  ... 
doi:10.2478/eb-2020-0005 fatcat:wvtothi2bvc3pgjw2mycwwtcxi

Casper: Debugging Null Dereferences with Dynamic Causality Traces [article]

Benoit Cornu , Martin Monperrus
2015 arXiv   pre-print
In this paper, we introduce "causality traces", crafted execution traces augmented with the information needed to reconstruct the causal chain from the root cause of a bug to an execution error.  ...  Over this data set, Casper builds a causality trace in less than 5 seconds.  ...  Our idea is to replace nulls with objects whose behavior, from the application's point of view, is same as a null, except that they store a causality trace, defined in Section II-A.  ... 
arXiv:1502.02004v2 fatcat:qoq74rnvbzcnvd3ubn5udu7qbe

A Cointegration Analysis of Money Supply and Saudi Stock Price Index

Saud Almutair
2015 International Journal of Economics and Finance  
The paper has not found neither long run nor short run causal relationship between SSPI and M2 with annual data.  ...  The goal is to discover the relationship between SSPI and MS and to identify the long run as well as the short run causality using Vector Error Correction Model (VECM).  ...  VECM result for SSPI and M1 with annual data Panel B. VECM result for SSPI and M1 with monthly data Note. Standard errors in ( ) & t-statistics in [ ].  ... 
doi:10.5539/ijef.v7n5p153 fatcat:xukusqr2q5anrdyinxdi5xw3ny

The causal and cointegration relationship between government revenue and government expenditure

Kebitsamang Anne Sere, Ireen Choga
2017 Public and Municipal Finance  
The Johansen multivariate method was employed to test for co-integration and for causality the Vector Error Correction/Granger causality test was employed.  ...  The study employed annual time series data from the year 1980 to 2015 taken from the South African Reserve Bank.  ...  Hansen, the trace test and the Johansen cointegration test ↔ causality Ziramba (2008) South Africa, annual data from 1960-2006 Ng-Peron unit root tests, ARDL (Pesaran et al. (2001)) of cointegration  ... 
doi:10.21511/pmf.06(3).2017.03 fatcat:ua5zeahmqzflheoueathgfohue

Casper: Automatic tracking of null dereferences to inception with causality traces

Benoit Cornu, Earl T. Barr, Lionel Seinturier, Martin Monperrus
2016 Journal of Systems and Software  
In this paper, we introduce "causality traces", crafted execution traces augmented with the information needed to reconstruct the causal chain from the root cause of a bug to an execution error.  ...  Causality traces are extracted from these ghosts.  ...  Overview We replace nulls with objects whose behavior, from the application's point of view, is same as null, except that they store a causality trace, defined in Section 2.2.  ... 
doi:10.1016/j.jss.2016.08.062 fatcat:s2en3oykrbagrnkv22hktzfdnq

The twin deficits hypothesis: Evidence from Ghana

Bernardin Senadza, Godson Korbla Aloryito
2016 International Journal of Business and Economic Sciences Applied Research  
The Error Correction Model is estimated to check stability of the long-run association between the two deficits.  ...  The error correction model finds an insignificant effect of the BD on the CAD both in the short and long runs.  ...  The Trace ( trace l ) test examines the null hypothesis that the number of cointegrating vectors equals or is less than (r) and computed as: 1 ( ) (1 ) p trace i i r r T In l l = + = - - å Error Correction  ... 
doaj:498b7ecc05004d7fb9d7451eb476af8e fatcat:ejh53tot2veaxj57ireoktnkmu

Memory and Disjunctivism

Arieh Schwartz
2018 Essays in Philosophy  
The causal argument, a standard objection to disjunctivism (Robinson 1985; Burge 2005 Burge , 2011, is then used to show that the sort of disjunctivism that endorses psychological internalism is mistaken  ...  I argue that inclusion of an accuracy condition implies a sort of disjunctivism about seeming to remember.  ...  On Michaelian's proposal, there is no retention or causal trace condition on memory, but rather a reliability condition on the simulation process by which memories must be constructed.  ... 
doi:10.7710/1526-0569.1611 fatcat:hk5cftoe4fcoljskhtkxx2wuiy

Unravelling causal and temporal influences underpinning monitoring systems success: A typological approach

Federico Iannacci, Tony Cornford
2017 Information Systems Journal  
This paper is concerned with the causal and temporal underpinnings of Information Systems (IS) success.  ...  It uses a typological approach based on fuzzy-set Qualitative Comparative Analysis (fsQCA) and process tracing.  ...  Research strategy and data analysis technique Our research strategy integrates fuzzy-set Qualitative Comparative Analysis (fsQCA) with process tracing to unravel "the causal and temporal influences in  ... 
doi:10.1111/isj.12145 fatcat:pz3vsbkvwrda5ko3izk5c3vqke

Testing Causality and Cointegration Between Saving and Investment in Bangladesh

Zubaidur Rahman
2015 Economics  
In order to show the direction of causal relationship between saving and investment, the widely used Granger causality test has been used.  ...  The stationarity of the data is examined by using the Augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) unit root tests.  ...  Contrary to the classical view that saving and investment are equal under condition of full employment equilibrium, the Keynesians are of the view that equality between saving and investment can take place  ... 
doi:10.11648/j.eco.20150406.15 fatcat:kkaujupa5rc5vef46fnbpguoli

Relationship between Spot and Future Prices of Crude Oil: A Cointegration Analysis

M. C. Minimol
2018 Theoretical Economics Letters  
Considering this pressing need, the present paper attempts to explore the long run and short run relationship between spot and future prices of crude oil using time series data.  ...  To estimate the long and short run dynamics of crude oil prices, the present study applies the Johansen cointegration, and vector error correction modelling to time series analysis.  ...  Finally, they investigate the hypothesis of nonlinear non-causality after control- ling for conditional heteroskedasticity in the data using a GARCH-BEKK model.  ... 
doi:10.4236/tel.2018.83023 fatcat:owr3pvtrqfborb7kynnewnkj4e
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