Computing Initial Estimates with Mixed Effects Models: A General Method of Moments

Biometrika ◽  
1991 ◽  
Vol 78 (1) ◽  
pp. 217 ◽  
Author(s):  
Stuart L. Beal
Keyword(s):  
Method Of Moments ◽  
Mixed Effects ◽  
Mixed Effects Models ◽  
General Method Of Moments ◽  
General Method

scholarly journals Rational Expectations Estimation of Georgia Soybean Acreage Response

1995 ◽  
Vol 27 (2) ◽  
pp. 500-509 ◽  
Author(s):  
Nicolas B. C. Ahouissoussi ◽  
Christopher S. McIntosh ◽  
Michael E. Wetzstein
Keyword(s):  
Response Function ◽  
Method Of Moments ◽  
Rational Expectations ◽  
Futures Prices ◽  
Crop Acreage ◽  
Government Programs ◽  
Demand Shocks ◽  
General Method Of Moments ◽  
General Method ◽  
Significant Factors

AbstractThe general method of moments procedure is used for estimating a soybean acreage response function assuming that producers hold rational expectations. Results indicate that soybean, corn, and wheat futures prices, lagged acreage, and government programs are significant factors for determining soybean plantings. Implications of the results are that crop acreage selection by Georgia producers is not very responsive to demand shocks. Thus, producers in other regions are more likely to absorb impacts from these shocks on crop acreage selection.

scholarly journals TRADE OPENNESS AND ECONOMIC GROWTH: A CAUSALITY TEST IN PANEL PERSPECTIVE

2017 ◽  
Vol 17 (2) ◽  
Author(s):  
Jamilah Idris ◽  
Zulkornain Yusop ◽  
Muzafar Shah Habibullah
Keyword(s):  
Economic Growth ◽  
Causal Relationship ◽  
Method Of Moments ◽  
Purchasing Power Parity ◽  
Trade Openness ◽  
Estimation Method ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
General Method Of Moments ◽  
General Method

Openness to trade has been one of the primary drivers stimulating growth. The goal of this particular study is to investigate the relationship between trade openness and economic growth in 87 selected countries which includes both Organizations for Economic Co-operation and Development (OECD) and developing countries for 1977–2011 periods. We used two measures of trade openness i.e. the ratio of trade openness (TO) typically spoke by exports plus imports in nominal value divided by GDP (nominal) which is commonly used in the literature, and trade openness in real (RO) which is defined as the sum of imports and exports in US$ relative to GDP in purchasing power parity US$ (real GDP). An empirical studywas conducted to determine the causal relationship between trade openness and growth in a panelperspective. We used a dynamic panel data estimation method i.e. the general method of moments (GMM). The empirical results reveal a bidirectional causal relationship for both developing and OECD countries. Our finding is consistent with the endogenous theory that increased openness leads to higher growth, which thus prompts expanded openness.Keywords: Openness; Economic Growth; Dynamic Panel General Method of Moments (GMM).

High-Income Developing Countries, FDI Outflows and the International Investment Agreement Regime

2021 ◽  
pp. 1-17
Author(s):  
Yoram Z. Haftel ◽  
Soo Yeon Kim ◽  
Lotem Bassan-Nygate
Keyword(s):  
Developing Countries ◽  
Method Of Moments ◽  
Dispute Settlement ◽  
Original Data ◽  
International Investment ◽  
High Income ◽  
Data Set ◽  
Investment Agreement ◽  
General Method Of Moments ◽  
General Method

Abstract The international investment agreement regime (IIA Regime) is composed of thousands of IIAs and a system of investor–state dispute settlement. Historically, high-income developing countries (HIDCs) were part of the global South and thus ‘hosts’ of foreign direct investment (FDI). Increasingly, however, these countries have become ‘home’ to investors who are hosted and exposed to political risk abroad. Representing both home and host country interests simultaneously, how do HIDCs balance these crosscutting pressures? We argue that as the position of an HIDC shifts from mostly a recipient towards a sender of significant amounts of FDI, it will be more willing to provide protection to foreign investors at the expense of state regulatory space in its IIAs, thereby increasing its exposure to the IIA Regime. Employing an original data set that measures this exposure for sixty-four HIDCs over six decades, we first show that the degree of HIDC exposure to the IIA Regime varies a great deal. Using a general method of moments (GMM) analysis and controlling for a host of confounding factors, we demonstrate that, indeed, higher levels of FDI outflows as a share of the national economy result in greater exposure to the IIA Regime.

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