Cabinet Terminations and Critical Events

2000 ◽  
Vol 94 (3) ◽  
pp. 627-640 ◽  
Author(s):  
Daniel Diermeier ◽  
Randolph T. Stevenson
Keyword(s):  
Duration Analysis ◽  
Bargaining Model ◽  
Critical Events ◽  
Data Set ◽  
Stochastic Version ◽  
Empirical Assessment ◽  
Strategic Model ◽  
Strategic Approach ◽  
Noncooperative Bargaining

We present an empirical assessment of Lupia and Strøm's noncooperative bargaining model of cabinet terminations. We construct a stochastic version of the model and derive several testable implications. As the next mandatory election approaches: (1) the probability of an early election increases; (2) a cabinet's risks of being replaced without an intermediate election may be flat or even decrease; and (3) the overall chance that a cabinet falls (for whatever reason) increases. Using nonparametric duration analysis on a 15-country data set, we find qualified support for the Lupia and Strøm model. We conclude that the strategic approach is more promising than the nonstrategic alternative, but a more fully dynamic strategic model will be required to account for the dynamics of cabinet stability.

An Empirical Bargaining Model with Left-Digit Bias: A Study on Auto Loan Monthly Payments

2021 ◽  
Author(s):  
Zhenling Jiang
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Large Data ◽  
The United States ◽  
Nash Bargaining ◽  
Bargaining Model ◽  
Data Set ◽  
Proposed Model ◽  
Lower Interest Rate ◽  
The Empirical Analysis

This paper studies price bargaining when both parties have left-digit bias when processing numbers. The empirical analysis focuses on the auto finance market in the United States, using a large data set of 35 million auto loans. Incorporating left-digit bias in bargaining is motivated by several intriguing observations. The scheduled monthly payments of auto loans bunch at both $9- and $0-ending digits, especially over $100 marks. In addition, $9-ending loans carry a higher interest rate, and $0-ending loans have a lower interest rate. We develop a Nash bargaining model that allows for left-digit bias from both consumers and finance managers of auto dealers. Results suggest that both parties are subject to this basic human bias: the perceived difference between $9- and the next $0-ending payments is larger than $1, especially between $99- and $00-ending payments. The proposed model can explain the phenomena of payments bunching and differential interest rates for loans with different ending digits. We use counterfactuals to show a nuanced impact of left-digit bias, which can both increase and decrease the payments. Overall, bias from both sides leads to a $33 increase in average payment per loan compared with a benchmark case with no bias. This paper was accepted by Matthew Shum, marketing.

scholarly journals Strategic Approach of Saudi Small and Medium-Sized Enterprises: More of Emergent or Deliberate?

2018 ◽  
Vol 11 (3) ◽  
pp. 110 ◽  
Author(s):  
Mutab Z Alenzy
Keyword(s):  
Factor Analysis ◽  
Strategic Management ◽  
Data Set ◽  
Emergent Strategy ◽  
Strategy Model ◽  
Strategic Approach ◽  
High Flexibility ◽  
Deliberate Strategy ◽  
Indicators Of Success ◽  
The Impact

The impact of the strategic planning, especially in promising economies are significant indicators of success for the small and medium-sized enterprises (SMEs). Globally, the SMEs sector suffers from a very high failure rate and the most important reason for this is poor capacity in strategic management. The practice of SMEs in unstable environments, especially in oil-based economy like Saudi Arabia (SA), creates the need for more flexibility in building strategies. Therefore, as the aim of this study was to structurally examine the type of strategic management in SMEs, the adaptation of a high flexibility strategic theoretical framework based on the emergent strategy model by Mintzberg might be more suitable for SMEs’ needs and capabilities. In this research, forty-six SMEs were surveyed in SA. Unlike most previous research, whose variables focused on external issues (such as funding issues or government policies), this study focuses on internal issues (such as internal capabilities) that influence the choice of strategy in SMEs. Correlation and factor analysis were used because the data set was appropriate for factor analysis as the KMO value was greater than 0.50. The research concluded that SMEs tend to adopt a deliberate strategy more than the emerging strategy.

scholarly journals Assessing the Operational Carbon at University

2018 ◽  
Author(s):  
Irina Safitri Zen ◽  
Masilah Bandi ◽  
Kasturi Devi Karniah ◽  
Iklil Nabihah Binti Abu Bakar ◽  
Rozana Zakaria
Keyword(s):  
Carbon Source ◽  
Assessment System ◽  
Low Carbon ◽  
Data Set ◽  
Research Activities ◽  
Strategic Approach ◽  
Living Lab ◽  
Campus Initiatives ◽  
The City

The establishment of low carbon assessment initiatives is a crucial task especially at the city level. The determination of which source of carbon contributed more require robust data set and strategic approach. Hence, by using the campus as a small city approach, the establishment of carbon assessment and its’ reduction initiatives was required to keep track of the hotspot of the carbon source. The substantial amount of carbon source from campus operations such as energy consumption in the building, waste generation, and water consumption were identified. Moreover, as institutions of higher education, the execution of low carbon campus was initiated structurally involves the triangulation of research activities, teaching & learning and as well as campus operations or known as campus living lab approach. The application of low carbon cities framework, LCCF and assessment system enables to strategize the low carbon campus initiatives through the use of carbon footprint concept and the LCCF carbon track.

Challenges to Inference in the Study of Crisis Bargaining

2015 ◽  
Vol 3 (3) ◽  
pp. 569-587 ◽  
Author(s):  
Philip Arena ◽  
Kyle A. Joyce
Keyword(s):  
At Risk ◽  
Causal Inference ◽  
Instrumental Variables ◽  
Positive Relationship ◽  
Simulated Data ◽  
Bargaining Model ◽  
Data Set ◽  
Crisis Bargaining ◽  
Backwards Induction ◽  
Unobservable Factors

The possibility that actors strategically condition their behavior on partially unobservable factors poses a grave challenge to causal inference, particularly if only some of the actors whose behavior we analyze are at risk of experiencing the outcome of interest. We present a crisis bargaining model that indicates that targets can generally prevent war by arming. We then create a simulated data set where the model is assumed to perfectly describe interactions for those states engaged in crisis bargaining, which we assume most pairs of states arenot. We further assume researchers cannot observe which states are engaged in crisis bargaining, although observable variables might serve as proxies. We demonstrate that a naïve design would falsely (and unsurprisingly) indicate a positive relationship between arming and war. More importantly, we then evaluate the performance of matching, instrumental variables, and statistical backwards induction. The latter two show some promise, but matching fares poorly.

scholarly journals Assessing the Operational Carbon at University

2018 ◽  
Author(s):  
Irina Safitri Zen ◽  
Masilah Bandi ◽  
Kasturi Devi Karniah ◽  
Iklil Nabihah Binti Abu Bakar ◽  
Rozana Zakaria
Keyword(s):  
Carbon Source ◽  
Assessment System ◽  
Low Carbon ◽  
Data Set ◽  
Research Activities ◽  
Strategic Approach ◽  
Living Lab ◽  
Campus Initiatives ◽  
The City

The establishment of low carbon assessment initiatives is a crucial task especially at the city level. The determination of which source of carbon contributed more require robust data set and strategic approach. Hence, by using the campus as a small city approach, the establishment of carbon assessment and its’ reduction initiatives was required to keep track of the hotspot of the carbon source. The substantial amount of carbon source from campus operations such as energy consumption in the building, waste generation, and water consumption were identified. Moreover, as institutions of higher education, the execution of low carbon campus was initiated structurally involves the triangulation of research activities, teaching & learning and as well as campus operations or known as campus living lab approach. The application of low carbon cities framework, LCCF and assessment system enables to strategize the low carbon campus initiatives through the use of carbon footprint concept and the LCCF carbon track.

scholarly journals Assessing the Operational Carbon at University

Proceedings ◽  
2018 ◽  
Vol 2 (22) ◽  
pp. 1370
Author(s):  
Irina Safitri Zen ◽  
Masilah Bandi ◽  
Kasturi Devi Karniah ◽  
Iklil Nabihah Binti Abu Bakar ◽  
Rozana Zakaria
Keyword(s):  
Carbon Source ◽  
Assessment System ◽  
Low Carbon ◽  
Data Set ◽  
Research Activities ◽  
Strategic Approach ◽  
Living Lab ◽  
Campus Initiatives ◽  
The City

The establishment of low carbon assessment initiatives is a crucial task especially at the city level. The determination of which source of carbon contributed more require robust data set and strategic approach. Hence, by using the campus as a small city approach, the establishment of carbon assessment and its’ reduction initiatives was required to keep track of the hotspot of the carbon source. The substantial amount of carbon source from campus operations such as energy consumption in the building, waste generation, and water consumption were identified. Moreover, as institutions of higher education, the execution of low carbon campus was initiated structurally involves the triangulation of research activities, teaching & learning and as well as campus operations or known as campus living lab approach. The application of low carbon cities framework, LCCF and assessment system enables to strategize the low carbon campus initiatives through the use of carbon footprint concept and the LCCF carbon track.

Rotational Characteristics of the Green Solar Corona: 1947-1991

1994 ◽  
Vol 144 ◽  
pp. 139-141 ◽  
Author(s):  
J. Rybák ◽  
V. Rušin ◽  
M. Rybanský
Keyword(s):  
Solar Corona ◽  
World Wide ◽  
Rotation Period ◽  
Original Data ◽  
Coronal Emission ◽  
Time Intervals ◽  
Data Set ◽  
The World ◽  
Coronal Emission Line ◽  
Homogeneous Data

AbstractFe XIV 530.3 nm coronal emission line observations have been used for the estimation of the green solar corona rotation. A homogeneous data set, created from measurements of the world-wide coronagraphic network, has been examined with a help of correlation analysis to reveal the averaged synodic rotation period as a function of latitude and time over the epoch from 1947 to 1991.The values of the synodic rotation period obtained for this epoch for the whole range of latitudes and a latitude band ±30° are 27.52±0.12 days and 26.95±0.21 days, resp. A differential rotation of green solar corona, with local period maxima around ±60° and minimum of the rotation period at the equator, was confirmed. No clear cyclic variation of the rotation has been found for examinated epoch but some monotonic trends for some time intervals are presented.A detailed investigation of the original data and their correlation functions has shown that an existence of sufficiently reliable tracers is not evident for the whole set of examinated data. This should be taken into account in future more precise estimations of the green corona rotation period.

Difference Fourier Analysis of Glucose Embedded and Frozen Hydrated Purple Membrane

1982 ◽  
Vol 40 ◽  
pp. 74-75
Author(s):  
Jules S. Jaffe ◽  
Robert M. Glaeser
Keyword(s):  
Purple Membrane ◽  
Data Set ◽  
High Resolution Data ◽  
X Ray ◽  
X Ray Crystallography ◽  
Fourier Techniques ◽  
Versus Protein ◽  
The Difference ◽  
Difference Fourier ◽  
Ideal Method

Although difference Fourier techniques are standard in X-ray crystallography it has only been very recently that electron crystallographers have been able to take advantage of this method. We have combined a high resolution data set for frozen glucose embedded Purple Membrane (PM) with a data set collected from PM prepared in the frozen hydrated state in order to visualize any differences in structure due to the different methods of preparation. The increased contrast between protein-ice versus protein-glucose may prove to be an advantage of the frozen hydrated technique for visualizing those parts of bacteriorhodopsin that are embedded in glucose. In addition, surface groups of the protein may be disordered in glucose and ordered in the frozen state. The sensitivity of the difference Fourier technique to small changes in structure provides an ideal method for testing this hypothesis.

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