Consistent Estimation of the Fixed Effects Probit Model

2020 ◽  
Author(s):  
Jose Tudon M.
Keyword(s):  
Fixed Effects ◽  
Probit Model ◽  
Consistent Estimation

scholarly journals Almost Consistent Estimation of Panel Probit Models with “Small” Fixed Effects

2003 ◽  
Vol 22 (1) ◽  
pp. 1-28 ◽  
Author(s):  
François Laisney ◽  
Michael Lechner
Keyword(s):  
Fixed Effects ◽  
Consistent Estimation ◽  
Probit Models

scholarly journals Within- and Between-cluster Effects in Generalized Linear Mixed Models: A Discussion of Approaches and the Xthybrid command

2017 ◽  
Vol 17 (1) ◽  
pp. 89-115 ◽  
Author(s):  
Reinhard Schunck ◽  
Francisco Perales
Keyword(s):  
Random Effects ◽  
Mixed Models ◽  
Fixed Effects ◽  
Negative Binomial ◽  
Generalized Linear Mixed Models ◽  
Linear Mixed Models ◽  
Consistent Estimation ◽  
Random Effects Models ◽  
Fixed Effects Models ◽  
Correlated Random Effects

One typically analyzes clustered data using random- or fixed-effects models. Fixed-effects models allow consistent estimation of the effects of level-one variables, even if there is unobserved heterogeneity at level two. However, these models cannot estimate the effects of level-two variables. Hybrid and correlated random-effects models are flexible modeling specifications that separate within-and between-cluster effects and allow for both consistent estimation of level-one effects and inclusion of level-two variables. In this article, we elaborate on the separation of within- and between-cluster effects in generalized linear mixed models. These models present a unifying framework for an entire class of models whose response variables follow a distribution from the exponential family (for example, linear, logit, probit, ordered probit and logit, Poisson, and negative binomial models). We introduce the user-written command xthybrid, a shell for the meglm command. xthybrid can fit a variety of hybrid and correlated random-effects models.

Choosing between subsidized or unsubsidized private pension schemes: evidence from German panel data

2012 ◽  
Vol 12 (1) ◽  
pp. 62-91 ◽  
Author(s):  
CHRISTIAN PFARR ◽  
UDO SCHNEIDER
Keyword(s):  
Old Age ◽  
Low Income ◽  
Fixed Effects ◽  
Probit Model ◽  
Pension Plans ◽  
Tax Credits ◽  
Private Pension ◽  
Pension Insurance ◽  
Private Pensions ◽  
Bivariate Probit Model

AbstractSince 2002, the German government has been attempting to increase private old-age provisions by introducing incentives such as supplementary subsidies and tax credits. Since then, the so-called ‘Riester pension’ has grown in popularity. Apart from subsidized pension plans, unsubsidized private pension insurances have – already in the past – been a very important instrument among old-age provision schemes. With data of the German SAVE study for the years 2005–2009, we analyze whether the decision for a ‘Riester pension’ is independent of the decision for unsubsidized private pension insurance using methods for simultaneous equations. Our estimates indicate that decisions on ‘Riester’ and private pensions are not independent and the proposed random parameters bivariate probit model results in efficiency gains compared to separate probit estimations. Regarding governmental subsidies, we find positive incentive effects of child subsidies, whereas low income earners are not seen to increase their old-age provisions. Further, there is strong evidence for a ‘crowding-in’ among alternative assets, i.e., that individuals holding various assets make additional investments in ‘Riester pensions’ or private pension insurances. Finally, when subsidies are given, these subsidies are a clearly stronger saving motive than the aim to make provisions for old age, a result confirmed by the additional fixed-effects estimations.

scholarly journals Consistent Estimation of the Fixed Effects Ordered Logit Model

2011 ◽  
Author(s):  
Gregori Baetschmann ◽  
Kevin E. Staub ◽  
Rainer Winkelmann
Keyword(s):  
Logit Model ◽  
Fixed Effects ◽  
Ordered Logit ◽  
Consistent Estimation ◽  
Ordered Logit Model

INNOVATION AND CORRUPTION: DISSECTING CAUSAL LINKAGE USING PATENT APPLICATION INFORMATION FROM INDIA

2020 ◽  
pp. 1-27
Author(s):  
PRASHANT PODDAR ◽  
SANJAY KUMAR SINGH
Keyword(s):  
Fixed Effects ◽  
Causal Effect ◽  
Patent Application ◽  
Probit Model ◽  
Firm Level ◽  
Bivariate Probit Model ◽  
Recursive Bivariate Probit ◽  
Regression Approach ◽  
World Bank Enterprise Survey ◽  
Enterprise Survey

Using World Bank Enterprise Survey data on bribery and patent applications, we try to study the causal linkage between firm level innovation and corruption in India. Specifically, we try to understand if corruption impacts innovation at the firm level. Since we find that innovation and corruption are jointly determined, we propose instrumental variables regression approach to identify this causal effect. We instrument bribery by exogenously determined external audit parameter and then use a recursive bivariate probit model combined with industry-fixed effects to reach our results. Our findings suggest that bribery has an adverse impact on innovation. The results of our study are much in contrast to the existing literature, which largely supports a positive relationship between innovation and corruption.

Das Sozio-Oekonomische Panel als Datenbasis für die Arbeits- und Organisationspsychologie

2018 ◽  
Vol 62 (3) ◽  
pp. 111-125 ◽  
Author(s):  
Marco Giesselmann ◽  
Mila Staneva ◽  
Jürgen Schupp ◽  
David Richter
Keyword(s):  
Fixed Effects

Zusammenfassung. Der Beitrag zeigt die Analysepotentiale der repräsentativen Mikrodaten des Sozio-oekonomischen Panels (SOEP) für die Arbeits- und Organisationspsychologie (A/O-Psychologie) auf. Dabei werden allgemeine Charakteristika von Stichprobe und Erhebung des SOEP vorgestellt, sowie Konstrukte mit besonderer Relevanz für die Psychologie eingeführt. Zudem diskutieren wir Analysemethoden für Paneldaten, mit denen sich die Potentiale des SOEP realisieren lassen. Neben den Möglichkeiten des SOEP für Stabilitäts- und Verlaufsanalysen stellen wir die Potentiale längsschnittlicher Daten für kausale Analysen heraus. Dabei erläutern wir insbesondere die Analyselogik längsschnittlicher Fixed Effects Modellierungen und vergleichen diese mit weiteren längsschnittlichen Analyseverfahren. Wir argumentieren, dass bei Anwendung akkurater Methoden Teilaspekte der experimentellen Analyselogik auf Grundlage längsschnittlicher Surveydaten angenähert werden können. Folglich stellen die Daten des SOEP immer dann eine wertvolle Ressource für die A/O-Psychologie dar, wenn a) unabhängige Merkmale aus ethischen oder praktischen Gründen nicht systematisch manipuliert werden können, b) die Kernbefunde experimenteller Primärstudien auf Grundlage eines repräsentativen Samples repliziert werden sollen oder c) Interesse am langfristigen Verlauf eines Indikators besteht.

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