Small area models for skewed Brazilian business survey data

2017 ◽  
Vol 180 (4) ◽  
pp. 1039-1055 ◽  
Author(s):  
Fernando A. S. Moura ◽  
André Felipe Neves ◽  
Denise Britz do N. Silva
Keyword(s):  
Survey Data ◽  
Small Area ◽  
Business Survey Data ◽  
Business Survey

N.A.P.M. Business Survey Data: Their Value as Leading Indicators

1988 ◽  
Vol 24 (4) ◽  
pp. 32-40 ◽  
Author(s):  
Philip A. Klein ◽  
Geoffrey H. Moore
Keyword(s):  
Survey Data ◽  
Leading Indicators ◽  
Business Survey Data ◽  
Business Survey

Quantifying Measurement Errors in Partially Edited Business Survey Data

2017 ◽  
pp. 319-337
Author(s):  
Thomas Laitila ◽  
Karin Lindgren ◽  
Anders Norberg ◽  
Can Tongur
Keyword(s):  
Survey Data ◽  
Measurement Errors ◽  
Business Survey Data ◽  
Business Survey

Modelling Short-term Interest Rates in the Euro Area Using Business Survey Data

2004 ◽  
Vol 2004 (1) ◽  
pp. 43-69
Author(s):  
Renata Grzeda Latocha ◽  
Gernot Nerb
Keyword(s):  
Interest Rates ◽  
Survey Data ◽  
Euro Area ◽  
Short Term ◽  
Business Survey Data ◽  
Business Survey

The Determinants of Sticky Prices and Sticky Plans: Evidence from German Business Survey Data

2014 ◽  
Vol 15 (3) ◽  
pp. 353-373 ◽  
Author(s):  
Heike Schenkelberg
Keyword(s):  
Survey Data ◽  
State Dependence ◽  
Empirical Literature ◽  
Price Setting ◽  
Firm Level ◽  
Data Set ◽  
Price Increases ◽  
Business Survey Data ◽  
State Dependent ◽  
Business Survey

Abstract So far, there is no consensus on the price adjustment determinants in the empirical literature. Analyzing a novel firm-level business survey data set, we provide new insights on the price setting behavior of German retailers during a low inflation period. Relating the probability of both price and pricing plan adjustment to time- and state-dependent variables, we find that state-dependence is important; the macroeconomic environment as well as the firm-specific condition significantly determines the timing of both actual price changes and pricing plan adjustments. Moreover, input cost changes are important determinants of price setting. Finally, price increases respond more strongly to cost shocks compared to price decreases.

Seasonal and Cyclical Properties of Ifo Business Test Variables / Saisonale und zyklische Eigenschaften von ifo Konjunkturtest Variablen

2003 ◽  
Vol 223 (5) ◽  
Author(s):  
Gebhard Flaig
Keyword(s):  
Survey Data ◽  
Seasonal Pattern ◽  
Business Climate ◽  
Unobserved Components ◽  
Empirical Results ◽  
Business Survey Data ◽  
Unobserved Components Model ◽  
Business Survey ◽  
Working Day ◽  
Over Time

SummaryIn this paper, an Unobserved Components Model is used to decompose the balances of Ifo Business survey data into the cyclical, the seasonal and the irregular components, as well as the working day effect. The empirical results show that the total cycle consists of three subcycles with about 3, 5 and 11 years. Each subcycle of the assessment variable is “similar” to the corresponding subcycle of the expectations variable. The seasonal pattern is changing over time and the working day effect is significant for the assessment of the current business situation and for the Ifo Business Climate, but not for the expectation series.

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