Abstract
We examine whether sectional interest groups influence monetary policy goals in a manner consistent with their interests as distributive coalitions. In particular, we explore whether bank groups and labor groups are associated with the incidence of inflation targeting by the central bank. Controlling for a variety of economic and institutional factors, our main findings reveal that bank groups are associated with a higher probability that a country is an inflation-targeter while labor groups are associated with a lower probability. The findings are conditional on the level of democracy and on aspects of central bank independence.
Similar content being viewed by others
Availability of data and material
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
Code availability
Not applicable.
Notes
A short-run tradeoff between inflation and unemployment is inconsistent with divine coincidence—equivalency between stabilizing inflation and stabilizing the welfare-relevant output gap. However, in theory, several reasons can be found for being skeptical of such a coincidence, including real wage rigidities or information problems. Moreover, a key feature of the forecasting toolkit of economists and central (and other) bankers alike is its absence (e.g., Morett et al., 2019; Belinga and Doukali 2019).
For categorical variables, the marginal effect indicates how the probability that a country is an inflation-targeter changes as the categorical variable changes from 0 to 1. For continuous variables, such as Bank Groups and Labor Groups, the marginal effect yields an instantaneous rate of change. It is common to imagine that marginal effects in probability models must range between 0 and 1. However, that is not the case here. The marginal effect is the slope of the prediction function, which can be greater than one even if the values of the function are between 0 and 1.
References
Abrams, B., & Iossifov, P. (2006). Does the Fed contribute to a political business cycle? Public Choice, 129, 249–262
Alesina, A. (1987). Macroeconomic policy in a two-party system as a repeated game. Quarterly Journal of Economics, 102, 651–678
Anderson, G., Shughart, W., & Tollison, R. (1988). A public choice theory of the great contraction. Public Choice, 59(1), 3–23
Ayadi, R., Naceur, S., Casu, B., & Quinn, B. (2016). Does basel compliance matter for bank performance? Journal of Financial Stability, 23, 15–32
Ball, L. (1992). Why does high inflation raise inflation uncertainty? Journal of Monetary Economics, 29, 371–388
Belinga, V., & Doukali, M. (2019). The moroccan new Keynesian Phillips curve: A structural econometric analysis. World Bank Policy Research Working Paper No. 9018.
Belke, A., & Potrafke, N. (2012). Does government ideology matter in monetary policy? A panel data analysis for OECD Countries. Journal of International Money and Finance, 31(5), 1126–1139
Bernanke, B. (2010). Central bank independence, transparency, and accountability. Speech of Chairman Ben S. Bernanke at the Institute for Monetary and Economic Studies International Conference, Bank of Japan, Tokyo, Japan. May 25, 2010.
Bischoff, I. (2003). Determinants of the increase in the number of interest groups in western democracies: Theoretical considerations and evidence from 21 OECD countries. Public Choice, 114, 197–218
Blau, B. (2017). Lobbying, political connections and emergency lending by the Federal Reserve. Public Choice, 172, 333–358
Chappell, H., & Keech, W. (1986). Party differences in macroeconomic policies and outcomes. American Economic Review, 76, 71–74
Claessens, S., Coleman, N., & Donnelly, M. (2018). “Low-for-long” interest rates and banks’ interest margins and profitability: Cross-country evidence. Journal of Financial Intermediation, 35, 1–16
Coates, D., Heckelman, J. C., & Wilson, B. (2007). Determinants of interest group formation. Public Choice, 133, 377–391
Cukierman, A., Webb, S., & Neyapti, B. (1992). Measuring the independence of central banks and its effect on policy outcomes. The World Bank Economic Review, 6(3), 353–398
De Haan, J., & van’t Hag, G. . (1995). Variation in central bank independence across countries: Some provisional empirical evidence. Public Choice, 85, 335–351
De Haan, J., Bodea, C., Hicks, R., & Eijffinger, S. (2018). Central bank independence before and after the crisis. Comparative Economic Studies., 60, 183–202
Demirgüç-Kunt, A., & Huizinga, H. (1999). Determinants of commercial bank interest margins and profitability: Some international evidence. The World Bank Economic Review, 13(2), 379–408
Drazen, A. (2000). Interest-rate and borrowing defense against speculative attack. Carnegie-Rochester Conference Series on Public Policy, 53(1), 303–348
Fernández-Albertos, J. (2015). The politics of central bank independence. Annual Review of Political Science, 18, 217–237
Friedman, M. (1977). Inflation and unemployment. Journal of Political Economy, 85, 451–472
Gabillon, E., & Martimort, D. (2004). The benefits of central bank’s political independence. European Economic Review, 48, 353–378
Garriga, A. (2016). Central bank independence in the world: A new data set. International Interactions, pp. 849–868.
Ghosh, A. (2016). Banking sector globalization and bank performance: A comparative analysis of low income countries with emerging markets and advanced economies. Review of Development Finance, 6, 58–70
Giesenow, F., & de Haan, J. (2019). The influence of government ideology on monetary policy: New cross-country evidence based on dynamic heterogeneous panels. Economics & Politics, pp. 216–239.
Golub, J. (1994). Does inflation uncertainty increase with inflation? Federal Reserve Bank of Kansas City Economic Review, pp. 27–38.
Grier, K. (1991). Congressional oversight committee influence on US monetary policy. Journal of Monetary Economics, 28, 201–220
Grier, K. (1996). Congressional oversight committee influence on US monetary policy revisited. Journal of Monetary Economics, 38, 571–579
Hartmann, M., & Herwartz, H. (2012). Causal relations between inflation and inflation uncertainty - cross sectional evidence in favour of the Friedman-Ball hypothesis. Economics Letters, 115, 144–147
Heckelman, J. C. (2000). Consistent estimates of the impact of special interest groups on economic growth. Public Choice, 104, 319–327
Heckelman, J. C., & Wilson, B. (2014). Interest groups and the “rise and decline of growth.” Southern Economic Journal, 81, 435–456
Hess, G., & Shelton, C. (2016). Congress and the Federal Reserve. Journal of Money, Credit, and Banking, 48(4), 603–633
Hibbs, D. (1977). Political parties and macroeconomic policy. American Political Science Review, 71, 1467–1487
Hibbs, D. (1979). The mass public and macroeconomic performance: The dynamics of public opinion toward unemployment and inflation. American Journal of Political Research, 9, 133–145
Hibbs, D. (1987). The political economy of industrial democracies. Harvard University Press.
Hibbs, D. (1994). The partisan model of macroeconomic cycles: More theory and evidence for the United States. Economics and Politics, 6, 1–23
Jawadi, F., Barnett, W., & Ftiti, Z. (2020). Causal relationships between inflation and inflation uncertainty. Studies in Nonlinear Dynamics & Econometrics.
Knittel, C. (2006). The adoption of state electricity regulation: The role of interest groups. The Journal of Industrial Economics, 54(2), 201–222
Kohlscheen, E., Murcia Pabón, A., & Contreras, J. (2018) Determinants of bank profitability in emerging markets. Bank of International Settlements Working Paper No. 686.
Le, T., & Ngo, T. (2020). The determinants of bank profitability: A cross-country analysis. Central Bank Review, 20(2), 65–73
Lucotte, Y. (2010). The choice of adopting inflation targeting in emerging economies: Do domestic institutions matter? Working paper, hal-00539713.
McChesney, F. S. (1987). Rent extraction and rent creation in the economic theory of regulation. Journal of Legal Studies, 16, 101–118
Mishkin, F. (2011). Monetary policy strategy: Lessons from the crisis. NBER Working Paper 16755. Cambridge (MA): National Bureau of Economic Research.
Moretti, L., Onorante, L., & Saber, S. (2019). Phillips curves in the euro area. European Central Bank Working Paper Series.
Mueller, D. (2003). Public choice III. Cambridge University Press.
Mueller, D., & Murrell, P. (1986). Interest groups and the size of government. Public Choice, 48, 125–145
Mukherjee, B., & Singer, D. A. (2008). Monetary institutions, partisanship, and inflation targeting. International Organization, 62, 323–358
Murrell, P. (1984). An examination of the factors affecting the formation of interest groups in OECD countries. Public Choice, 43, 151–171
Olson, M. (1965). The logic of collective action: public goods and the theory of groups. Harvard University Press.
Olson, M. (1982). The rise and decline of nations: Economic growth, stagflation, and social rigidities. Yale University Press.
Petria, N., Capraru, B., & Ihnatov, I. (2015). Determinants of banks’ profitability: Evidence from EU 27 banking systems. Procedia Economics and Finance, 20, 518–524
Posen, A. (1993). Why central bank independence does not cause low inflation. In R. O'Brien (ed.), Finance and the international economy (vol. 7, pp. 40–65). Oxford: Oxford University Press.
Potrafke, N. (2017). Partisan politics: The empirical evidence from OECD panel studies. Journal of Comparative Economics, 45, 712–750
Salter, A., & Luther, W. (2019). Adaptation and central banking. Public Choice, 180, 243–256
Samarina, A., & de Haan, J. (2014). Right on target: Exploring the factors leading to inflation targeting adoption. Contemporary Economic Policy, 32(2), 372–389
Schwartz, A. (2009). Boundaries between the Fed and the Treasury. Paper presented to the Shadow Open Market Committee.
Schwartz, A. (1995). Why financial stability depends on price stability. Economic Affairs, pp. 21–25.
Shughart, W., II., Tollison, R., & Yan, Z. (2002). Rent seeking into the income distribution. Kyklos, 56, 443–458
Singhal, M. (2008). Special interest groups and the allocation of public funds. Journal of Public Economics, 92(3–4), 548–564
Svensson, L. (2000). Open-economy inflation targeting. Journal of International Economics, 50, 155–183
Wagner, R. (1986). Central banking and the Fed: A public choice perspective. Cato Journal, 6(2), 519–543
Wandschneider, K. (2008). The stability of the interwar gold exchange standard: Did politics matter? The Journal of Economic History, 68(1), 151–181
Way, C. (2000). Central bank, partisan politics, and macroeconomic outcomes. Comparative Political Studies, 33(2), 196–224
Acknowledgements
We thank Ismail Cole for an especially careful discussant report as well as Sandeep Mazumder and participants in the meetings of the Eastern Economic Association and the Public Choice Society for helpful remarks. We also thank three anonymous reviewers for thoughtful reports.
Funding
The authors have no relevant financial or non-financial interests to disclose.
Author information
Authors and Affiliations
Contributions
Not applicable.
Corresponding author
Ethics declarations
Conflicts of interest
The authors have no conflicts of interest to declare that are relevant to the content of this article.
Ethics approval
Not applicable.
Consent to participate
Not applicable.
Consent for publication
The authors grant the Publisher an exclusive license to publish the article or transfer copyright of the article to the Publisher.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Appendix
Appendix
1.1 Country list (year of adoption/cessation in parentheses for inflation targeters)
Albania | El Salvador | Luxembourg | Singapore |
---|---|---|---|
Algeria | Eq. Guinea | Macedonia | Slovakia (2005) |
Argentina | Estonia | Madagascar | Slovenia |
Armenia (2006) | Ethiopia | Malawi | Solomon Islands |
Australia (1993) | Fiji | Malaysia | South Africa (2000) |
Austria | Finland (1993/1998) | Maldives | South Korea (1998) |
Bahamas | France | Mali | Spain (1995/1998) |
Bahrain | Gabon | Malta | Sri Lanka |
Bangladesh | Gambia | Mauritania | St. Kitts and Nevis |
Barbados | Georgia | Mauritius | St. Vincent and the Grenadines |
Belarus | Germany | Mexico (2001) | Sudan |
Belgium | Ghana (2007) | Moldova | Suriname |
Belize | Greece | Mongolia | Sweden (1993) |
Benin | Grenada | Morocco | Switzerland (2000) |
Bolivia | Guatemala (2005) | Mozambique | Syria |
Bosnia-Herz | Guinea | Namibia | Tajikistan |
Botswana | Guinea-Bissau | Nepal | Tanzania |
Brazil (1999) | Guyana | Netherlands | Thailand (2000) |
Bulgaria | Haiti | New Zealand (1990) | Togo |
Burkina Faso | Honduras | Nicaragua | Tonga |
Burundi | Hungary (2001) | Niger | Trinidad and Tobago |
Cambodia | Iceland (2001) | Nigeria | Tunisia |
Cameroon | India | Norway (2001) | Turkey (2006) |
Canada (1991) | Indonesia (2005) | Oman | Turkmenistan |
Cape Verde | Iran | Pakistan | Uganda |
CAR | Iraq | Panama | Ukraine |
Chad | Ireland | Papua New Guinea | United Arab Emirates |
Chile (1991) | Israel (1992) | Paraguay | United Kingdom (1993) |
China | Italy | Peru (2002) | United States |
Colombia (2000) | Ivory Coast | Philippines (2002) | Uruguay |
Comoros | Jamaica | Poland (1999) | Uzbekistan |
Congo, Dem. Rep | Japan | Portugal | Vanuatu |
Congo, Rep | Jordan | Qatar | Venezuela |
Costa Rica | Kazakhstan | Romania (2005) | Vietnam |
Croatia | Kenya | Russia | Yemen |
Cuba | Kuwait | Rwanda | Zambia |
Cyprus | Kyrgyzstan | Saint Lucia | Zimbabwe |
Czech Republic (1998) | Laos | Samoa | |
Denmark | Latvia | San Marino | |
Djibouti | Lebanon | Saudi Arabia | |
Dominica | Lesotho | Senegal | |
Dominican Rep | Liberia | Serbia | |
Ecuador | Libya | Seychelles | |
Egypt | Lithuania | Sierra Leone |
1.2 Variable definitions and data sources
The dataset is an unbalanced panel of a maximum 2648 annual observations that covers 154 nations over the period 1985–2008.
1.3 Dependent variable
Inflation Targeter: A dummy variable that takes the value one for inflation targeters, and zero otherwise. Inflation targeters are nations with a publicly announced numerical target for inflation. The main analysis uses the official adoption dates according to the central bank. Two alternative dates are considered in the sensitivity analysis: (1) soft inflation targeting (SIT) adoption and (2) full-fledged inflation targeting (FFIT) adoption. SIT is characterized by coexistence of an inflation target and other nominal anchors such as exchange rate pegs. FFIT entails an inflation target as the single nominal anchor. Source: Samarina and De Haan (2014), Table 1.
1.4 Independent variables
Bank Groups: The number of banking sector interest groups in a country as a share of real GDP per capita. Counts as of 1985, 1995, 1999, and 2002 are used, respectively, for the periods 1985—1994, 1995—1998, 1999—2001, 2002—2008. Source: Third through sixth editions of World Guide to Trade Associations.
Labor Groups: The number of labor interest groups in a country as a share of real GDP per capita. Counts as of 1985, 1995, 1999, and 2002 are used, respectively, for the periods 1985—1994, 1995—1998, 1999—2001, 2002—2008. Source: Third through sixth editions of World Guide to Trade Associations.
CBI—CEO: A component of central bank independence related to “the appointment, dismissal, and term of office of the chief executive officer of the bank…” (Cukierman et al. 1992). Source: Garriga (2016).
CBI—Policy: A component of central bank independence related to “the policy formulation cluster, which concerns the resolution of conflicts between the executive branch and the central bank over monetary policy and the participation of the central bank in the budget process.” (Cukierman et al. 1992). Source: Garriga (2016).
CBI—Objective: A component of central bank independence related to “the objectives of the central bank.” (Cukierman et al. 1992). Source: Garriga (2016).
CBI—Lending Limits: A component of central bank independence related to “limitations on the ability of the central bank to lend to the public sector…” (Cukierman et al. 1992). Source: Garriga (2016).
Central Bank Independence: A measure of central bank independence. Source: Garriga (2016). We use Garriga's weighted measure, which is based on the Cukierman et al. (1992) coding and weighting rules.
Political Polarization: A measure of polarization in government. Source: World Bank Database of Political Institutions, “polariz.”
Checks and Balances: A measure of checks and balances in government. Source: World Bank Database of Political Institutions, “checks.”
Democracy: A measure of political rights. Source: Freedom House political rights index (reversed so that 1 = least democratic and 7 = most democratic).
Exchange Rate Regime: A categorical variable that takes the values one, two, three, or four, for least flexible to most flexible exchange rate regime. Source: Ilzetzki, Reinhart, and Rogoff (2017), “coarse” classification code.
Government Debt: Central government debt as a share of GDP. Source: International Monetary Fund Historical Public Debt Database. and Jaimovich and Panizza (2010).
Openness: Sum of exports and imports as a share of GDP. Source: World Bank World Development Indicators.
Private Credit: Private credit provided by deposit money banks and other financial institutions as a share of GDP. Source: World Bank Financial Structure and Development Dataset (July 2018 version).
Capital Account Openness: An index measuring the degree of capital account openness. Source: Chinn and Ito (2006).
Financial Crisis: A dummy variable that takes the value one if a country is experiencing a banking crisis. Source: Laeven and Valencia (2012).
Inflation: CPI inflation rate, transformed as π/100/(1 + π /100). Source: World Bank World Development Indicators.
GDP: Real GDP per capita. Source: World Bank World Development Indicators.
Growth: annual percentage growth rate of real GDP per capita. Source: World Bank World Development Indicators.
Growth Volatility: Three-year rolling standard deviation of Growth.
Exchange Rate Volatility: Annual standard deviation of monthly percentage changes in real effective exchange rates. Source: International Monetary Fund International Financial Statistics and Darvas (2012).
1.5 Variables, findings, and expected signs
Variable | SDH | L | MS | HW | Expected sign |
---|---|---|---|---|---|
Bank groups | x* | + | |||
Labor groups | x* | - | |||
Central bank independence | x* | x* | x | x | + |
Political polarization | x* | x* | + | ||
Checks and balances | x* | x | x* | + | |
Democracy | X | x* | + | ||
Central government debt | x* | X | x | - | |
Openness | x* | x* | x | x* | - |
Capital account openness | x | x | + | ||
Private credit | x* | x | x* | - | |
Financial crisis | x | x | - | ||
Inflation | x* | x* | x* | x* | - |
GDP per capita | x* | x | x* | + | |
Growth | x | x | ± | ||
Growth volatility | x* | x* | x* | ± | |
Exchange rate volatility | x* | x* | x | ± | |
Exchange rate regime (flexibility) | x* | x* | x* | x* | + |
Political fractionalization | x* | + | |||
Financial structure | x* | + | |||
Deposit money bank Assets | x | + | |||
Interest rate | x* | + | |||
Fiscal balance | x | + | |||
Public domestic debt | x* | + | |||
Current account | x | - | |||
External debt | x | - | |||
Liquid liabilities | x | + | |||
Number of inflation targeters | x* | + | |||
Federalism | x* | + | |||
Government stability | x | + | |||
Partisanship (rightist) | x | + | |||
Bank regulation by CB (none) | x* | + | |||
Parliamentary democracy | x | + | |||
Government transparency | x | ± |
The four papers considered are Samarina and de Haan (2014) (SDH), Lucotte (2010) (L), Mukherjeee and Singer (2008) (MS), and this paper (HW). The symbol “x” indicates the variable is included. The symbol “x*” indicates the variable is found to be statistically significant.
Rights and permissions
About this article
Cite this article
Heckelman, J.C., Wilson, B. Targeting inflation targeting: the influence of interest groups. Public Choice 189, 533–554 (2021). https://doi.org/10.1007/s11127-021-00905-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11127-021-00905-x