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Showing 1 – 18 of 18 results.
Curated

Budget Balances (Deficits and Surpluses) for 54 Middle Income Countries From 1976-2007 (ICPSR 29341)

Released/updated on: 2010-09-27
Geographic coverage: South America, Central America, Asia, Africa, Global
Time period: 1976-01-01--2007-01-01
This study examines whether opportunistic and partisan business cycles influence fiscal policy in 54 developing countries when controlling for de facto exchange rate regimes and capital mobility. With most exchange rate regimes, leftist parties are more likely to engage in expansionary fiscal policy, but are less likely to do so as capital mobility rises. With a rigidly fixed rate, however, leftist parties engage in more fiscal expansion with higher capital mobility. Unless an exchange rate is freely falling, an election is more likely to encourage fiscal expansion when capital mobility is high.
Curated

Cointegration and Exchange Rate Dynamics (ICPSR 1057)

Released/updated on: 1996-01-03
These data and/or computer programs are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the INVESTIGATOR(S) if further information is desired.
Curated

Correlates of War Project: International Trade Data, 1870-2006 (ICPSR 24385)

Released/updated on: 2010-03-08
Geographic coverage: Benin, Papua New Guinea, Angola, Cambodia, Sudan, East Timor, Paraguay, Kazakhstan, Portugal, Syria, Solomon Islands, North Korea, Bahamas, Grenada, Greece, Mongolia, Latvia, Morocco, Iran, Mali, Marshall Islands, Bosnia-Hercegovina, Panama, Guatemala, Guyana, Iraq, Chile, Laos, Nepal, Argentina, Ukraine, Tanzania, Seychelles, Zambia, Ghana, Belize, Bahrain, India, Canada, Guinea-Bissau, Maldives, Turkey, Belgium, Namibia, Taiwan, Finland, Comoros, South Africa, Trinidad and Tobago, Georgia, Central African Republic, Jamaica, Peru, Turkmenistan, Germany, Yemen, Vietnam (Socialist Republic), Eritrea, Fiji, United States, Guinea, China (Peoples Republic), Chad, Somalia, Sao Tome and Principe, Madagascar, Ivory Coast, Thailand, Libya, Equatorial Guinea, Western Samoa, Kiribati, Costa Rica, Sweden, Malawi, Andorra, Liechtenstein, Poland, Kuwait, Jordan, Nigeria, Bulgaria, Tunisia, Croatia, Uruguay, Sri Lanka, United Kingdom, United Arab Emirates, Tuvalu, Kenya, Switzerland, Spain, Lebanon, Djibouti, Brunei, Liberia, Azerbaijan, Cuba, Venezuela, Czech Republic, Burkina Faso, Mauritania, Saint Lucia, Swaziland, Palau, Israel, San Marino, Australia, Tajikistan, Estonia, Myanmar, Cameroon, Cyprus, Malaysia, Iceland, Global, Oman, Armenia, Gabon, South Korea, Austria, Yugoslavia, Mozambique, El Salvador, Monaco, Luxembourg, Brazil, Algeria, Slovenia, Lesotho, Tonga, Antigua and Barbuda, Ecuador, Colombia, Hungary, Japan, Moldova, Belarus, Mauritius, Albania, New Zealand, Vanuatu, Senegal, Italy, Honduras, Macedonia, Micronesia (Federated States), Nauru, Ethiopia, Haiti, Afghanistan, Burundi, Singapore, Egypt, Sierra Leone, Bolivia, Russia, Malta, Saudi Arabia, Cape Verde, Netherlands, Pakistan, Gambia, Ireland, Qatar, Slovakia, France, Lithuania, Kyrgyzstan, Saint Kitts-Nevis, Bhutan, Romania, Togo, Niger, Philippines, Rwanda, Uzbekistan, Bangladesh, Nicaragua, Barbados, Norway, Democratic Republic of Congo, Botswana, Saint Vincent and the Grenadines, Denmark, Dominican Republic, Mexico, Uganda, Zimbabwe, Suriname, Indonesia, Dominica
Time period: 1870-01-01--2006-01-01
The International Trade (v2.01) data compiled by the Correlates of War Project is the result of the effort to code trade flows between states (as defined by the Project) for the period 1870-2006. The data include information on both bilateral trade flows and total national imports and exports. Four data files are included with this collection: (1) dyadic trade statistics, (2) national trade statistics, and (3) and (4) supplementary information about dyadic and national trade statistics.
Curated

Creation of the Euro and the Role of the Dollar in International Markets (ICPSR 1247)

Released/updated on: 2001-10-31
Geographic coverage: United States, Europe, Global
Through the post-World War II period, the United States dollar has been the leading currency used in international trade and debt contracts. With the creation of the euro, the dollar may finally face a challenge to its dominance in international markets. This article examines the likely effects of the euro on the international use of the dollar. Moreover, the article considers the implications for the United States and the euro area of a rise in the use of the euro and consequent fall in the use of the dollar internationally.
Curated

Does the Exchange Rate Regime Affect the Economy? (ICPSR 1063)

Released/updated on: 1996-01-03
Geographic coverage: United States
These data and/or computer programs are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the INVESTIGATOR(S) if further information is desired.
Curated

Foreign Direct Investment, Productivity, and Country Growth: An Overview (ICPSR 25081)

Released/updated on: 2009-03-11
Geographic coverage: Hungary, United States, Japan, United Kingdom, Bermuda Islands, Switzerland, Spain, Canada, Netherlands, Sweden, Czech Republic, Norway, Luxembourg, Finland, Mexico, France, Germany, Estonia
The authors review the empirical literature that studies the relationship between foreign direct investment, productivity, and growth using aggregate data, and focus on two questions: (1) is there evidence of a positive relationship between foreign direct investment and national growth? and (2) does the output of the "multinational sectors" exhibit higher labor productivity? The authors also briefly discuss how the microeconomic evidence and a number of aggregation and composition problems might help explain the ambiguous results in this literature.
Curated

How Well Do Monetary Fundamentals Forecast Exchange Rates? (ICPSR 1268)

Released/updated on: 2003-06-05
Geographic coverage: United States
For many years after the seminal work of Meese and Rogoff (1983a), conventional wisdom held that exchange rates could not be forecast from monetary fundamentals. Monetary models of exchange rate determination were generally unable to beat even a naive no-change model in out-of-sample forecasting. More recently, the use of sophisticated econometric techniques, panel data, and long spans of data has convinced some researchers (Mark and Sul, 2001) that monetary models can forecast a small, but statistically significant part of the variation in exchange rates. Others remain skeptical, however (Rapach and Wohar, 2001b, Faust, Rogers, and Wright, 2001). It remains a puzzle why even the most supportive studies find such a small predictable component to exchange rates. This article reviews the literature on forecasting exchange rates with monetary fundamentals and speculates as to why it remains so difficult.
Curated

International Bond Markets and the Intro of the Euro (ICPSR 1228)

Released/updated on: 2001-04-02
Geographic coverage: United States, Japan, United Kingdom, Italy, France, Germany, Global
In this article, the author analyzes the future prospects of the euro as an international currency from a portfolio perspective. Using daily bond and exchange-rate data during the period 1996-1998, the author constructs an optimal benchmark portfolio for representative investors from the United States, Japan, the United Kingdom, and the three major European countries participating in the euro: France, Germany, and Italy. Subsequently, the author distinguishes three plausible (euro) exchange-rate scenarios and three plausible (European) bond market scenarios as a result of the introduction of the euro. Then, the portfolio optimization is implemented again under the nine scenarios. Generally, the outcomes suggest that an increase in net demand for euro assets is unlikely, due to the inherent reduction of attractive diversification possibilities. For a given eurobond supply, this in turn implies a depreciation of the euro. Potential entry of the United Kingdom into the euro area is not seen to change the results. However, increasing depth and liquidity of European bond markets, together with lower transaction costs, may reverse the conclusions. Finally, the author shows that both actual supply and demand developments in international bond markets in 1999 are consistent with the observed depreciation of the euro relative to the United States dollar.
Curated

International Financial Statistics (ICPSR 7629)

Released/updated on: 1992-02-16
Geographic coverage: South America, Papua New Guinea, Cambodia, Paraguay, Kazakhstan, Syria, Solomon Islands, Bahamas, Gibralter, Montserrat, Mali, Marshall Islands, Panama, Guadeloupe, Laos, Argentina, Falkland Islands, Africa, Seychelles, Zambia, Belize, Bahrain, Guinea-Bissau, Namibia, Finland, Comoros, Faroe Islands, Netherlands Antilles, Yemen, Eritrea, China (Peoples Republic), Madagascar, Aruba, Ivory Coast, Libya, Sweden, Malawi, Poland, Jordan, Bulgaria, Tunisia, United Arab Emirates, Tuvalu, Kenya, French Polynesia, Lebanon, Djibouti, Brunei, Azerbaijan, Cuba, Czech Republic, Mauritania, Saint Lucia, Israel, San Marino, Australia, Soviet Union, Tajikistan, Myanmar, Cameroon, Cyprus, Bermuda Islands, Malaysia, North America, Iceland, Global, Oman, Armenia, Gabon, Yugoslavia, Luxembourg, Brazil, Algeria, Slovenia, Antigua and Barbuda, Ecuador, Colombia, Moldova, Vanuatu, Italy, Honduras, Micronesia (Federated States), Nauru, Haiti, Afghanistan, Burundi, Singapore, French Guiana, Korea (North), American Samoa, Russia, Netherlands, Martinique, Kyrgyzstan, Reunion, Bhutan, Romania, Togo, Philippines, Uzbekistan, Asia, British Virgin Islands, Zimbabwe, Pacific Ocean, Indonesia, Dominica, Benin, Angola, Sudan, East Timor, Portugal, New Caledonia, Grenada, Greece, Cayman Islands, Mongolia, Latvia, Morocco, Iran, Bosnia-Hercegovina, Guatemala, Guyana, Iraq, Chile, Nepal, Georgia (Republic), Ukraine, Tanzania, Ghana, Anguilla, India, Canada, Maldives, Turkey, Belgium, South Africa, Trinidad and Tobago, Central African Republic, Jamaica, Peru, Turkmenistan, Germany, Vietnam (Socialist Republic), Fiji, Hong Kong, United States, Guinea, Chad, Somalia, Thailand, Equatorial Guinea, Kiribati, Costa Rica, Pitcairn Island, Kuwait, Nigeria, Croatia, Sao Tome And Principe, Uruguay, Sri Lanka, Cook Islands, United Kingdom, Switzerland, Samoa, Spain, Palestine, Liberia, Venezuela, Burkina Faso, Congo (Democratic Republic), Swaziland, Palau, Estonia, Gaza Strip, Wallis and Futuna, Austria, Mozambique, Korea (South), El Salvador, Guam, Lesotho, Tonga, Hungary, Japan, Europe, Belarus, Mauritius, Albania, New Zealand, Senegal, Macedonia, Ethiopia, Egypt, Sierra Leone, Bolivia, Malta, Wake Island, Saudi Arabia, Cape Verde, Pakistan, Gambia, Ireland, Qatar, Slovakia, France, Lithuania, Saint Kitts-Nevis, Niger, Rwanda, Bangladesh, Nicaragua, Barbados, Norway, Botswana, Saint Vincent and the Grenadines, Macao, Denmark, Dominican Republic, Mexico, Uganda, Suriname, Saint Helena, Greenland
Detailed tabulations of international and domestic finance data are presented in this data collection. These time series data summarize each country's balance of payments, with collateral data on major financial components such as trade and reserves, and data on exchange rates, international liquidity, money and banking, international transactions, prices, production, government finance, and interest rates. A subset of these data, containing annual data from 1948 to 1978, is available as well.
Curated

Mechanics of a Successful Exchange-Rate Peg: Lessons for Emerging Markets (ICPSR 1246)

Released/updated on: 2001-10-31
Geographic coverage: Asia, Thailand, Global
To the surprise of many market watchers, Thailand's exchange rate peg to the dollar collapsed in July 1997, leading to similar rounds of currency devaluations in other East Asian countries. This study seeks to determine whether there were identifiable contrasts in implementation between Thailand's peg and a perennially successful peg -- Austria's peg to the Deutsche mark -- that would have hinted at problems for Thailand prior to July 1997. The comparison suggests that Thailand was not sufficiently vigilant about keeping its inflation rate low in the early 1990s. By 1995, Thailand faced a situation in which a tight monetary policy involving high domestic interest rates would not always have created disinflationary pressure, as high interest rates also tended to attract greater capital inflow to Thailand. In this environment, Thailand's monetary policy became erratic and failed to maintain the exchange rate peg.
Curated

Political Business Cycles in Open Economies in 28 Developing Countries From Latin America, Asia, and Africa, 1976-2002 (ICPSR 27581)

Released/updated on: 2010-10-06
Geographic coverage: Papua New Guinea, Madagascar, Thailand, Bolivia, Global, Costa Rica, Latin America, South Korea, Pakistan, El Salvador, Mali, Panama, Guatemala, Chile, Lesotho, Ecuador, Colombia, Argentina, Uruguay, Philippines, Africa, Mauritius, India, Venezuela, Turkey, Nicaragua, Asia, Botswana, Dominican Republic, South Africa, Mexico, Honduras
Time period: 1976-01-01--2002-01-01
This study looked at whether opportunistic and partisan business cycles influence fiscal policy in 28 developing countries when controlling for de facto exchange rate regimes and capital mobility. Several issues were investigated: 1) opportunistic business cycles, whether elections cause the governments budget balance (taxes minus spending) to experience fiscal expansion (lower taxes and higher spending) in order to stimulate the economy; 2) partisan business cycles, whether left-wing parties engage in more fiscal expansion; 3) whether growing capital mobility (the ability of financial capital to move across borders) will encourage or inhibit a government's ability to engage in fiscal expansion with an impending election or left-wing party; and 4) whether the exchange rate regime (the rules for determining the exchange rate) is a mitigating factor.
Curated

Real Exchange Rates: Some Evidence from the Postwar Years (ICPSR 1076)

Released/updated on: 1996-01-03
These data and/or computer programs are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the INVESTIGATOR(S) if further information is desired.
Curated

Realignment of Target Zone Exchange Rate Systems (ICPSR 1098)

Released/updated on: 1996-01-03
These data and/or computer programs are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the INVESTIGATOR(S) if further information is desired.
Curated

The Vulnerability of Pegged Exchange Rates (ICPSR 1070)

Released/updated on: 1996-01-03
These data and/or computer programs are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the INVESTIGATOR(S) if further information is desired.
Curated

World Tables of Economic and Social Indicators, 1950-1981 (ICPSR 8197)

Released/updated on: 2006-03-30
Geographic coverage: Benin, Papua New Guinea, Angola, Sudan, Paraguay, Portugal, Syria, New Caledonia, Solomon Islands, North Korea, Bahamas, Grenada, Gibralter, Greece, Mongolia, Morocco, Iran, Mali, Panama, Guadeloupe, Guatemala, Guyana, Virgin Islands of the United States, Czechoslovakia, Iraq, Chile, Laos, Nepal, Argentina, Tanzania, Seychelles, Zambia, Ghana, Belize, Bahrain, India, Canada, Guinea-Bissau, Maldives, Turkey, Belgium, Namibia, Taiwan, Finland, Comoros, South Africa, Trinidad and Tobago, Netherlands Antilles, Central African Republic, Jamaica, Peru, Germany, Yemen, Puerto Rico, Fiji, Hong Kong, United States, Guinea, China (Peoples Republic), Chad, Somalia, Sao Tome and Principe, Madagascar, Ivory Coast, Thailand, Libya, Equatorial Guinea, Western Samoa, Costa Rica, Sweden, Malawi, Poland, Kuwait, Jordan, Nigeria, Bulgaria, Tunisia, Uruguay, Sri Lanka, United Kingdom, United Arab Emirates, Kenya, Switzerland, Spain, Lebanon, Djibouti, Brunei, Liberia, Cuba, Venezuela, Burkina Faso, Mauritania, Saint Lucia, Swaziland, Israel, Australia, Soviet Union, Myanmar, Cameroon, Cyprus, Bermuda Islands, Malaysia, Iceland, Global, Oman, Gabon, South Korea, Austria, Yugoslavia, Mozambique, El Salvador, Luxembourg, Brazil, Guam, Algeria, Lesotho, Tonga, Antigua and Barbuda, Ecuador, Colombia, Hungary, Japan, Mauritius, Albania, New Zealand, Senegal, Italy, Honduras, Ethiopia, Paracel Islands, Haiti, Afghanistan, Burundi, Singapore, Egypt, American Samoa, Sierra Leone, Bolivia, Malta, Saudi Arabia, Cape Verde, Netherlands, Pakistan, Gambia, Ireland, Qatar, Martinique, Slovakia, France, Saint Kitts-Nevis, Reunion, Bhutan, Romania, Togo, Niger, Philippines, Rwanda, Uzbekistan, Bangladesh, Nicaragua, Barbados, Norway, Democratic Republic of Congo, Botswana, Saint Vincent and the Grenadines, Macao, Denmark, Dominican Republic, Mexico, Uganda, Zimbabwe, Suriname, Saint Helena, Indonesia, Dominica
Time period: 1950-01-01--1981-01-01
This dataset contains country level economic and social measures for 183 countries. Part 1, World Tables (1980 File), contains, where available, measures of (1)population, (2)national accounts and price data for 1950, 1955, 1960 through 1977, (3)data on external trade for 1962, 1965, 1970, and 1977, (4)data on balance of payments, debt, central government finance and trade indices for 1970-1977, and (5)social data for 1960, 1970, and (estimated) 1977. More specifically, the groupings include population, GDP by industrial origin and expenditures in constant local prices and current local prices, exchange rates and indices, balance of payments and external debt ($US), central government finance in local currency, social indicators, and external trade. Part 2, World Tables (1982 File), contains data on national accounts, prices, exchange rates and population for 1960-1981. The groupings include GDP by industrial origin as well as expenditure in current local prices and constant local prices, area, population, exchange rates, and indices and savings.
Curated

World Tables of Economic and Social Indicators, 1950-1988 (ICPSR 9300)

Released/updated on: 1992-02-17
Geographic coverage: Benin, Papua New Guinea, Sudan, Paraguay, Portugal, Syria, Solomon Islands, North Korea, Bahamas, Grenada, Greece, Cayman Islands, Morocco, Mali, Panama, Guatemala, Guyana, Chile, Nepal, Argentina, Tanzania, Seychelles, Zambia, Ghana, Belize, Bahrain, India, Canada, Guinea-Bissau, Turkey, Belgium, Finland, Comoros, South Africa, Trinidad and Tobago, Central African Republic, Jamaica, Peru, Germany, Yemen, Fiji, Hong Kong, United States, China (Peoples Republic), Chad, Somalia, Madagascar, Ivory Coast, Thailand, Libya, Western Samoa, Costa Rica, Sweden, Malawi, Poland, Kuwait, Jordan, Nigeria, Tunisia, Uruguay, Sri Lanka, United Kingdom, United Arab Emirates, Kenya, Switzerland, Spain, Liberia, Venezuela, Burkina Faso, Mauritania, Saint Lucia, Swaziland, Israel, Australia, Cameroon, Cyprus, Malaysia, Iceland, Global, Oman, Gabon, South Korea, Austria, Yugoslavia, Mozambique, El Salvador, Luxembourg, Brazil, Algeria, Slovenia, Lesotho, Tonga, Antigua and Barbuda, Ecuador, Colombia, Hungary, Japan, Mauritius, Bouvet Island, New Zealand, Vanuatu, Senegal, Italy, Honduras, Ethiopia, Haiti, Burundi, Singapore, Egypt, Sierra Leone, Bolivia, Malta, Saudi Arabia, Cape Verde, Netherlands, Pakistan, Gambia, Ireland, Slovakia, France, Saint Kitts-Nevis, Bhutan, Togo, Niger, Philippines, Rwanda, Bangladesh, Nicaragua, Barbados, Norway, Democratic Republic of Congo, Botswana, Saint Vincent and the Grenadines, Denmark, Dominican Republic, Mexico, Uganda, Zimbabwe, Suriname, Saint Helena, Indonesia, Dominica
Time period: 1950-01-01--1988-01-01
This data collection contains economic and social indicators for 136 countries. Included are economic variables such as gross national product, gross domestic product, value added in agriculture, industry, manufacturing, and services, value of imports and exports, private consumption, government consumption, gross national savings, gross domestic savings, government deficit or surplus, net direct foreign investment, repayments of long-term loans, public long-term debt, international reserves excluding gold, and gold holdings at London market price. Many variables are expressed both in terms of current prices and in terms of constant 1980 prices. Demographic and social variables include population, total fertility rate, crude birth rate, life expectancy at birth, food production per capita, percent of labor force in agriculture, percent of labor force that is female, and primary and secondary school enrollment rates.
Curated

World Tables of Economic and Social Indicators, 1950-1992 (ICPSR 6159)

Released/updated on: 1997-05-30
Geographic coverage: Papua New Guinea, Cambodia, Wales, Paraguay, Kazakhstan, Syria, Solomon Islands, Bahamas, Gibralter, Mali, Panama, Guadeloupe, Virgin Islands of the United States, Czechoslovakia, Laos, Argentina, Seychelles, Zambia, Belize, Bahrain, Guinea-Bissau, Namibia, Finland, Comoros, Faroe Islands, Netherlands Antilles, Yemen, Puerto Rico, China (Peoples Republic), Madagascar, Ivory Coast, Libya, Western Samoa, Sweden, Malawi, Poland, Jordan, Bulgaria, Tunisia, Channel Islands, United Arab Emirates, Kenya, French Polynesia, Lebanon, Brunei, Azerbaijan, Cuba, Czech Republic, Mauritania, Saint Lucia, Israel, Australia, Tajikistan, Spratley Islands, Cameroon, Cyprus, Bermuda Islands, Malaysia, Iceland, Global, Oman, Armenia, Gabon, Yugoslavia, Luxembourg, Brazil, Algeria, Antigua and Barbuda, Ecuador, Colombia, Moldova, Vanuatu, Italy, Honduras, Haiti, Afghanistan, Burundi, Singapore, French Guiana, American Samoa, Russia, Netherlands, Martinique, Kyrgyzstan, Reunion, Bhutan, Romania, Togo, Philippines, Uzbekistan, Democratic Republic of Congo, Zimbabwe, Indonesia, Dominica, Benin, Sudan, Portugal, New Caledonia, North Korea, Grenada, Greece, Mongolia, Latvia, Morocco, Iran, Guatemala, Guyana, Iraq, Chile, Nepal, Georgia (Republic), Isle of Man, Ukraine, Tanzania, Ghana, India, Canada, Turkey, Belgium, South Africa, Trinidad and Tobago, Central African Republic, Jamaica, Peru, Turkmenistan, Germany, Vietnam (Socialist Republic), Fiji, Hong Kong, United States, Guinea, Chad, Somalia, Sao Tome and Principe, Thailand, Equatorial Guinea, Kiribati, Costa Rica, Kuwait, Nigeria, Uruguay, Sri Lanka, United Kingdom, Switzerland, Spain, Liberia, Venezuela, Burkina Faso, Swaziland, Estonia, Wallis and Futuna, South Korea, Austria, Mozambique, El Salvador, Guam, Lesotho, Tonga, Hungary, Japan, Belarus, Mauritius, New Zealand, Senegal, Ethiopia, Egypt, Sierra Leone, Bolivia, Malta, Wake Island, Saudi Arabia, Cape Verde, Pakistan, Gambia, Ireland, Qatar, Serbia and Montenegro, Slovakia, France, Lithuania, Saint Kitts-Nevis, Niger, Rwanda, Bangladesh, Nicaragua, Barbados, Norway, Botswana, Saint Vincent and the Grenadines, Macao, Denmark, Dominican Republic, Mexico, Uganda, Suriname, Greenland
Time period: 1950-01-01--1992-01-01
This study contains aggregate socioeconomic and demographic data for 189 countries in the period 1950-1992. Data are provided in both current and constant dollars for government revenues and expenditures, budget balance, gross national product (GNP), gross domestic product (GDP), private consumption, government consumption, government deficit or surplus, values of exports and imports, terms of trade index, long-term interest payments, net long-term loans, repayments on long-term loans, total external debt, net direct foreign investment, international reserves excluding gold, gold holdings at London market price, net workers remittances, government capital receipts and payments, money supply, consumer price index, gross domestic and national savings, food production per capita, and value-added in agriculture, industry, manufacturing, and services. Demographic and social variables include population characteristics such as the percentage of urban population, life expectancy at birth, infant mortality rate, total fertility rate, school enrollment rates, and the percentage of females enrolled in primary schools, as well as the percentage of the labor force in agriculture, and the percentage of the labor force that was female.