scholarly journals Municipal Fragmentation and Local Financial Condition

2021 ◽  
pp. 131-150
Author(s):  
HyungGun PARK
Keyword(s):  
Time Series ◽  
Adverse Effects ◽  
Cross Sectional ◽  
Metropolitan Statistical Areas ◽  
Financial Condition ◽  
Individual Outcomes ◽  
Time Series Approach ◽  
Intergovernmental Competition ◽  
The U.S ◽  
Fiscal Outcomes

A sizeable literature investigates how intergovernmental competition affects various fiscal outcomes in a fragmented local landscape. However, it remains untested how the fragmentation affects the outcomes simultaneously. This study addresses the issue by condensing individual outcomes into a multifaceted concept of financial condition. Utilizing a pooled cross-sectional time-series approach on the metropolitan statistical areas in the U.S between 1972 and 2017, this study tests how financial condition of municipalities varies by competition among them. The finding exhibit adverse effects on their financial condition when a greater number of municipalities is identified.

scholarly journals VIIRS Nighttime Lights in the Estimation of Cross-Sectional and Time-Series GDP

2019 ◽  
Vol 11 (9) ◽  
pp. 1057 ◽  
Author(s):  
Xi Chen ◽  
William D. Nordhaus
Keyword(s):  
Time Series ◽  
High Resolution ◽  
Economic Activity ◽  
Cross Sectional ◽  
Areal Unit ◽  
Metropolitan Statistical Areas ◽  
Us States ◽  
Nighttime Lights

This study extends previous applications of DMSP OLS nighttime lights data to examine the usefulness of newer VIIRS lights in the estimation of economic activity. Focusing on both US states and metropolitan statistical areas (MSAs), we found that the VIIRS lights are more useful in predicting cross-sectional GDP than predicting time-series GDP data. This result is similar to previous findings for DMSP OLS nighttime lights. Additionally, the present analysis shows that high-resolution VIIRS lights provide a better prediction for MSA GDP than for state GDP, which suggests that lights may be more closely related to urban sectors than rural sectors. The results also indicate the importance of considering biases that may arise from different aggregations (the modifiable areal unit problems, MAUP) in applications of nighttime lights in understanding socioeconomic phenomenon.

Applying Circular Statistics to the Analysis of Monitoring Data

2007 ◽  
Vol 23 (4) ◽  
pp. 227-237 ◽  
Author(s):  
Thomas Kubiak ◽  
Cornelia Jonas
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Ambulatory Monitoring ◽  
Circular Data ◽  
Circular Statistics ◽  
Series Data ◽  
Cross Sectional ◽  
Psychological Variables ◽  
Wide Range ◽  
Time Series Approach

Abstract. Patterns of psychological variables in time have been of interest to research from the beginning. This is particularly true for ambulatory monitoring research, where large (cross-sectional) time-series datasets are often the matter of investigation. Common methods for identifying cyclic variations include spectral analyses of time-series data or time-domain based strategies, which also allow for modeling cyclic components. Though the prerequisites of these sophisticated procedures, such as interval-scaled time-series variables, are seldom met, their usage is common. In contrast to the time-series approach, methods from a different field of statistics, directional or circular statistics, offer another opportunity for the detection of patterns in time, where fewer prerequisites have to be met. These approaches are commonly used in biology or geostatistics. They offer a wide range of analytical strategies to examine “circular data,” i.e., data where period of measurement is rotationally invariant (e.g., directions on the compass or daily hours ranging from 0 to 24, 24 being the same as 0). In psychology, however, circular statistics are hardly known at all. In the present paper, we intend to give a succinct introduction into the rationale of circular statistics and describe how this approach can be used for the detection of patterns in time, contrasting it with time-series analysis. We report data from a monitoring study, where mood and social interactions were assessed for 4 weeks in order to illustrate the use of circular statistics. Both the results of periodogram analyses and circular statistics-based results are reported. Advantages and possible pitfalls of the circular statistics approach are highlighted concluding that ambulatory assessment research can benefit from strategies borrowed from circular statistics.

Forecasting the Impact of Socioeconomic and Demographic Change on Product Demand

1985 ◽  
Vol 22 (4) ◽  
pp. 415-423 ◽  
Author(s):  
John M. Mccann ◽  
David J. Reibstein
Keyword(s):  
Time Series ◽  
Cross Sections ◽  
Time Series Data ◽  
Series Data ◽  
Cross Sectional ◽  
Product Demand ◽  
New Methods ◽  
Differential Scheme ◽  
The Impact ◽  
The U.S

The U.S. population is expected to undergo significant shifts in its demographic and socioeconomic makeup. The authors present a series of methods for estimating the impact of these shifts on product demand. In addition, two new methods for pooling time-series and cross-sectional data are presented. One method combines disaggregate cross sectional data with aggregate time-series data and the second method involves a differential scheme for pooling cross sections for each variable in the model.

scholarly journals ANALISIS DU PONT SYSTEM DENGAN TIME SERIES APPROACH (TSA) DAN CROSS SECTIONAL APPROACH (CSA) DALAM PENILAIAN KINERJA KEUANGAN PERUSAHAAN (Studi Pada Industri Konstruksi (BUMN) di Indonesia Yang Listing di BEI Tahun 2013-2017)

2018 ◽  
Vol 1 (4) ◽  
Author(s):  
Nardi Sunardi
Keyword(s):  
Time Series ◽  
Return On Investment ◽  
Cross Sectional ◽  
Return On Equity ◽  
Time Series Approach

ABSTRACTPenelitian ini bertujuan untuk mengetahu kinerja keuangan perusahaan Industri Konstruksi (BUMN) di Indonesia yang listing di Bursa Efek Indonesia Periode 2013-2017 dengan pendekatan Du Pont System secara Time Series Approach (TSA) dan Cross Sectional Approach (CSA), Hasil penelitian ini menunjukkan bahwa Perusahaan PT.Adhi Karya (Persero) Tbk. rata-rata 2.789% lebih basar 2.755 % dikatakan berkinerja Baik, PT. PP (Persero) Periode 2013-2017 dengan nilai rata-rata 2.910% lebih basar dari rata-rata industri dikatakan berkinerja Baik, PT.Wijaya Karya (Persero) Tbk rata-rata 2.645% lebih basar dari rata-rata industri dikatakan berkinerja Kurang baik, PT. Waskita Karya (Persero) Tbk rata-rata 2.675% lebih basar dari rata-rata industri sehingga dikatakan berkinerja Kurang baik. menggunakan analisis Return On Investment (ROI) dan Return On Equity (ROE) dengan Time Series Approach (TSA) pada periode 2013 sampai dengan periode 2017 mengalami penurunan dan fluktuatif.Analisis Du Pont System secara Cross Sectional Approach (CSA) pada Industri Perusahaan Konstruksi (BUMN) di Indonesia sebesar 2.755%, Hal ini menunjukkan bahwa secara keseluruhan dikatakan berkinerja BAIK.

scholarly journals Capturing differences in conservatism following earnings restatements: further evidence from Tehran Stock Exchange

2020 ◽  
Vol 5 (1) ◽  
pp. 147-173
Author(s):  
Shayan Farhangdoust ◽  
Lida Sayadi
Keyword(s):  
Time Series ◽  
Design Methodology ◽  
Stock Exchange ◽  
Cross Sectional ◽  
Content Type ◽  
Earnings Restatements ◽  
Time Series Approach ◽  
Time Series Analyses ◽  
Restated Earnings ◽  
Insight Into

PurposeThe present study seeks to shed further light on the effectiveness of Basu (1997) and Khan and Watts' (2009) differential timeliness metrics in detecting predictable differences in conservatism following corrections of restated earnings.Design/methodology/approachUsing cross-sectional and time-series analyses for companies listed on the Tehran Stock Exchange during 2009–2013, the results indicate lower conservatism for restating firms as compared to their counterparts during prerestatement period.FindingsUsing cross-sectional and time-series analyses for companies listed on the Tehran Stock Exchange during 2009–2013, the results indicate lower conservatism for restating firms as compared to their counterparts during prerestatement period. In contrast, our findings are indicative of higher conservatism among these restating firms during the years of restatements. Moreover, the time-series approach captures a higher conservatism for the restating firms during restatement years than prerestatement periods. Overall, these results provide insight into the usefulness of the metrics used in the restatement setting.Originality/valueSimilar to recent papers, the present study seeks to shed further light on the ability of Basu-based coupled with Khan–Watts-based measures of conservatism to detect situations in which companies' earnings are known to be significantly restated.

Explaining Suffrage Mobilization: Balance, Neutralization, and Range in Collective Action Frames, 1892–1919

2004 ◽  
Vol 9 (2) ◽  
pp. 149-166 ◽  
Author(s):  
Lyndi Hewitt ◽  
Holly McCammon
Keyword(s):  
Time Series ◽  
Social Movements ◽  
Collective Action ◽  
State Level ◽  
Differential Impact ◽  
Cross Sectional ◽  
Collective Action Frames ◽  
Time Series Analyses ◽  
The U.S

Growing evidence points to the pivotal role of framing processes in the mobilization of social movements. Our study contributes to framing theory by drawing on data from state-level woman suffrage movements in the U.S. to provide a systematic comparison of the mobilizing capacities of different collective action frames. Specifically, we examine the differential impact of the justice, societal reform, and home protection frames. Rather than assuming that all frames deployed by movements contribute equally to successful mobilization, we distinguish between effective and ineffective frames. Results of cross-sectional time series analyses suggest that the use of the reform frame positively influenced membership growth in state suffrage organizations, while the use of the justice and home protection frames had no effect. We conclude that there are three key determinants of a frame's mobilizing capacity: a balanced (i.e., culturally resonant and oppositional) message, the range of issues addressed, and the effective neutralization of counterframes

Sign in / Sign up

Export Citation Format

Share Document